CN114492696B - Area tag identification method and device, electronic equipment and storage medium - Google Patents
Area tag identification method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN114492696B CN114492696B CN202210138138.2A CN202210138138A CN114492696B CN 114492696 B CN114492696 B CN 114492696B CN 202210138138 A CN202210138138 A CN 202210138138A CN 114492696 B CN114492696 B CN 114492696B
- Authority
- CN
- China
- Prior art keywords
- area
- vehicle
- state information
- parcel
- land
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisions for transferring data to distant stations, e.g. from a sensing device
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Remote Sensing (AREA)
- Data Mining & Analysis (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Traffic Control Systems (AREA)
Abstract
The embodiment of the invention discloses a method and a device for identifying a regional label, electronic equipment and a storage medium; the method comprises the steps of dividing an area to be identified into a plurality of plots; determining vehicles in the land and state information of the vehicles in the land; classifying the plots based on the state information of the vehicles in the plots to obtain tag types of the plots, wherein the tag types comprise operation plots; determining a connected region in the region to be identified, wherein the connected region comprises an adjacent operation land parcel and an independent operation land parcel; and classifying the connected regions based on the state information of the vehicle in the connected regions to obtain region labels of the connected regions. The invention can improve the identification efficiency and accuracy of the operation area, reduce the number of field dispatchers in the working area, and is favorable for ensuring the production safety, facilitating the dispatchers to master the field operation state of the vehicle in real time, and further being favorable for improving the production dispatching efficiency.
Description
Technical Field
The application relates to the technical field of traffic logistics, in particular to a method and a device for identifying a regional label, electronic equipment and a storage medium.
Background
In an operation field, various vehicles are widely applied to various transfer operations (such as earth stripping, ore material transfer and the like), multiple vehicles are usually simultaneously operated in the same field, scheduling management is needed to ensure the operation efficiency of the vehicles and improve the operation income of a fleet, however, some vehicles (such as mine cars) have wider bodies, high body heights, large field-of-view blind areas in the operation process, and scheduling personnel are dangerous in scheduling in the operation field; on the other hand, the large-sized vehicle has a large working area and many traffic routes, and field managers are difficult to check the running condition of the whole field in real time, so that the difficulty is brought to the scheduling management of the vehicle.
Therefore, there is a need for an area tag identification method that improves the identification efficiency and accuracy of the work area.
Disclosure of Invention
The embodiment of the application provides a method and a device for identifying an area label, electronic equipment and a storage medium, so as to improve the identification efficiency and accuracy of an operation area.
The embodiment of the application provides a method for identifying a regional label, which comprises the following steps:
dividing an area to be identified into land parcels;
determining vehicle node state information of a land parcel;
classifying the plots based on the vehicle node state information to obtain operation plots in the plots;
performing polymerization treatment on the operation land to obtain an operation area after polymerization treatment;
determining vehicle zone state information of a work zone;
and classifying the working area based on the vehicle area state information to obtain an area label of the working area.
An embodiment of the present application further provides an area tag identification apparatus, including:
the land parcel dividing module is used for dividing the area to be identified into a plurality of land parcels;
the state determining module is used for determining the vehicles in the plot and the state information of the vehicles in the plot;
the land parcel classification module is used for classifying the land parcels based on the state information of the vehicles in the land parcels to obtain the label types of the land parcels, wherein the label types comprise operation land parcels;
the system comprises a communicated region determining module, a judging module and a judging module, wherein the communicated region determining module is used for determining a communicated region in a region to be identified, and the communicated region comprises adjacent operation plots and independent operation plots;
and the region classification module is used for classifying the connected regions based on the state information of the vehicles in the connected regions to obtain the region labels of the connected regions.
In some embodiments, the plot partitioning module includes a plot partitioning submodule to:
determining the position range of the area to be identified;
and dividing the area to be identified into a plurality of plots according to the position range of the area to be identified, wherein the plots have preset sizes.
In some embodiments, the parcel partitioning module comprises an information writing module to:
determining land parcel information of a land parcel;
and writing the land parcel information of the land parcel into a land parcel data table.
In some embodiments, the state determination module comprises a state determination first module to:
determining vehicles passing through an area to be identified in the current time period;
dividing the current time period into a plurality of moments;
acquiring the position of a vehicle at a moment;
determining the plot of the vehicle at the moment from the plot data table based on the position of the vehicle at the moment;
and writing the land parcel of the vehicle at the moment into a vehicle route table.
In some embodiments, the state determination module comprises a state determination second module to:
acquiring state monitoring data of a vehicle at a moment;
determining path data, wherein the path data comprises state monitoring data of the vehicle at the moment and a plot of the vehicle at the moment;
and determining the state information of the vehicle in the land parcel according to the path data.
In some embodiments, the parcel classification module comprises a parcel classification sub-module for:
acquiring target state information from the state information of the vehicle in the land parcel;
determining a preset condition of a plot corresponding to the target state information;
when the target state information meets the preset conditions of the plot corresponding to the target state information, acquiring next target state information corresponding to the target state information from the state information of the vehicle in the plot;
determining a preset condition of the land parcel corresponding to the next target state information;
and when the next target state information is the last target state information of the vehicle in the state information of the plot and the next target state information meets the preset plot condition corresponding to the next target state information, marking the label type of the plot as the operation plot.
In some embodiments, the connected region determination module comprises a region aggregation module to:
determining a previous area, wherein the area comprises an initial area, and the initial area comprises at least one work land;
acquiring other operation plots outside the previous area;
determining a minimum distance between the other work plots and the work plot in the previous area;
when the minimum distance is smaller than the preset distance, adding other operation plots into the previous area to obtain the current area;
and when the minimum distance between the other operation land parcels outside the current area and the operation land parcel in the current area is larger than the preset distance, taking the current area as a communication area.
In some embodiments, the region classification module comprises a region status determination module to:
determining area information of a connected area;
acquiring state information of a vehicle in a land parcel;
and determining the state information of the vehicle in the connected region according to the state information of the vehicle in the land area based on the region information of the connected region.
In some embodiments, the region classification module comprises a region classification sub-module to:
setting a plurality of regional processing flows, wherein each regional processing flow comprises at least one regional processing condition;
determining state information corresponding to the area processing conditions in the last area processing flow from the state information of the vehicle in the connected area;
when the state information corresponding to the area processing condition in the last area processing flow meets the area processing condition in the last area processing flow, marking the connected area as an area label corresponding to the last area processing flow;
when the state information corresponding to the area processing condition in the last area processing flow does not meet the area processing condition in the last area processing flow, determining the state information corresponding to the area processing condition in the next area processing flow from the state information of the connected areas of the vehicle;
and when the state information corresponding to the area processing condition in the next area processing flow meets the area processing condition in the next area processing flow, marking the connected area as an area label corresponding to the next area processing flow.
In some embodiments, the region classification module comprises an operating state determination module to:
and determining the working state of the vehicle according to the area label of the connected area when the vehicle is positioned in the connected area based on the next time period of the current time period.
The embodiment of the present invention further provides an electronic device, which includes a processor and a memory, where the memory stores multiple instructions, and the processor loads the instructions to execute any of the steps in the area tag identification method provided in the embodiment of the present invention.
The embodiment of the present invention further provides a storage medium, where the storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor to perform any of the steps in the area tag identification method provided in the embodiment of the present invention.
According to the embodiment of the invention, the area to be identified can be divided into a plurality of plots; then determining the vehicles in the land and the state information of the vehicles in the land; then, classifying the plots based on the state information of the vehicles in the plots to obtain tag types of the plots, wherein the tag types comprise operation plots; determining a connected region in the region to be identified, wherein the connected region comprises an adjacent operation land parcel and an independent operation land parcel; and classifying the connected regions based on the state information of the vehicle in the connected regions to obtain region labels of the connected regions.
Therefore, the method and the device can automatically identify the operation land parcels from the land parcels by dividing the areas to be identified into the land parcels, then aggregate the operation land parcels into a plurality of connected areas, and then classify and identify the connected areas, so as to obtain the identification labels of the connected areas.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic view of a scene of an area tag identification system according to an embodiment of the present disclosure.
Fig. 2a is a schematic flowchart of a method for identifying an area tag according to an embodiment of the present application.
Fig. 2b is a schematic flowchart of obtaining a tag type of a parcel according to the embodiment of the present application.
Fig. 2c is a schematic distribution structure diagram of the work land provided in the embodiment of the present application.
Fig. 2d is a schematic diagram of a distribution structure of the connected regions provided in the embodiment of the present application.
Fig. 2e is a schematic flowchart of a first process for obtaining an area label of a connected area according to an embodiment of the present application.
Fig. 2f is a schematic diagram of a second flowchart for obtaining an area label of a connected area according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of an area tag identification apparatus according to an embodiment of the present application.
Fig. 4 is a schematic structural diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application provides a method and a device for identifying a regional label, electronic equipment and a storage medium.
The area tag identification apparatus may be specifically integrated in an electronic device, and the electronic device may be a terminal, a server, or other devices. The terminal can be a mobile phone, a tablet Computer, an intelligent bluetooth device, a notebook Computer, or a Personal Computer (PC); the server may be a single server or a server cluster composed of a plurality of servers.
In some embodiments, the area tag identification apparatus may also be integrated into a plurality of electronic devices, for example, the area tag identification apparatus may be integrated into a plurality of servers, and the area tag identification method of the present application is implemented by the plurality of servers.
In some embodiments, the server may also be implemented in the form of a terminal.
For example, taking the example that the area tag identification apparatus is integrated in an electronic device, the electronic device may divide an area to be identified into a plurality of plots; determining vehicles in the land and state information of the vehicles in the land; then, classifying the plots based on the state information of the vehicles in the plots to obtain tag types of the plots, wherein the tag types comprise operation plots; determining a connected region in the region to be identified, wherein the connected region comprises an adjacent operation land parcel and an independent operation land parcel; and classifying the connected regions based on the state information of the vehicle in the connected regions to obtain region labels and the like of the connected regions.
Referring to fig. 1, fig. 1 is a schematic view of a scene of a zone tag identification system according to an embodiment of the present application, where the system may include a server 10 and a storage terminal 11, the storage terminal 11 may store information such as a vehicle node state of a parcel, and the server 10 and the storage terminal 11 are in communication connection with each other, which is not described herein again.
The server 10 may include a processor, a memory, and the like; the storage terminal 11 may include a cloud server or the like.
It should be noted that the system scenario diagram shown in fig. 1 is only an example, and the area tag identification server and the scenario described in the embodiment of the present application are for more clearly illustrating the technical solution of the embodiment of the present application, and do not form a limitation on the technical solution provided in the embodiment of the present application, and as a person having ordinary skill in the art knows that along with the evolution of the system and the occurrence of a new service scenario, the technical solution provided in the embodiment of the present application is also applicable to similar technical problems. The following are detailed below. It should be noted that the following description of the embodiments is not intended to limit the preferred order of the embodiments.
The embodiment of the invention firstly aims to provide a region tag identification method, and the region to be identified can be divided into a plurality of plots; then determining the vehicles in the land and the state information of the vehicles in the land; then, classifying the plots based on the state information of the vehicles in the plots to obtain tag types of the plots, wherein the tag types comprise operation plots; determining a connected region in the region to be identified, wherein the connected region comprises an adjacent operation land parcel and an independent operation land parcel; and classifying the connected regions based on the state information of the vehicle in the connected regions to obtain region labels of the connected regions.
According to the scheme, the operation land parcels can be automatically identified from the land parcels by dividing the areas to be identified into the land parcels, then the operation land parcels are aggregated into a plurality of communication areas, and then the communication areas are classified and identified, so that the identification labels of the communication areas are obtained.
As shown in fig. 2a, a specific process of the area tag identification method may be as follows:
100. the area to be identified is divided into plots.
In the embodiment of the invention, the area to be identified is a place where a plurality of vehicles can simultaneously operate, such as a mine, and the like, the vehicles can be wide mine cards and the like, the wide mine cards are widely applied to earthwork stripping and ore raw material transferring operation, a plurality of mine cards usually exist in the same mine to operate at the same time, and scheduling management is needed to ensure the operating efficiency of the mine cards, and the operating income of a fleet is improved. The wide-body mine truck has a wider truck body, a high truck body height and a larger visual field blind area in the operation process, and a dispatcher is dangerous in dispatching the mine truck on an operation site; on the other hand, the large-scale mine field has a large working surface and many traffic routes, and field managers are difficult to check the running condition of the whole mine field in real time, so that the scheduling management of mine cards is difficult. The embodiment of the invention can divide the area to be identified into a plurality of plots, and each plot has a certain preset size.
In one embodiment, dividing the area to be identified into plots includes:
determining the position range of an area to be identified;
and dividing the area to be identified into a plurality of plots according to the position range of the area to be identified, wherein the plots have preset sizes.
In the embodiment of the present invention, the area to be identified has a certain range size, and the position range of the area to be identified may include a longitude range of the area to be identified and a latitude range of the area to be identified. The parcel information for a parcel may include a parcel number, as well as a longitude range of the parcel, and a latitude range of the parcel.
In one embodiment, the method for dividing the area to be identified into land parcels further comprises the following steps:
determining land parcel information of a plurality of land parcels;
and writing the land parcel information of a plurality of land parcels into a land parcel data table.
The method comprises the steps that the area to be identified is divided into a plurality of plots with preset sizes according to the position range of the area to be identified, for example, the embodiment of the invention can uniformly divide a mine into small grids according to the longitude and the latitude range of the whole mine, each grid is a plot, each plot corresponds to a certain longitude range and a certain latitude range, the preset size of the plot can balance two factors of calculation efficiency and plot resolution, the preset size of the plot is omega = alpha eta 1+ beta eta 2, eta 1 is calculation efficiency, the calculation efficiency is calculation speed, the more the plots are divided, the larger the calculation amount of a server is, the slower the calculation speed is; alpha is the calculation efficiency weight, eta 2 is the land parcel resolution ratio, beta is the land parcel resolution ratio weight, and the land parcel resolution ratio is the land parcel number in a unit area. For another example, the size of the land can be determined according to the size of the vehicle, for example, the length of the mine car with the side of the land being 2 to 3 times longer. The embodiment of the invention can assign a unique number to each land parcel, and write the land parcel information (land parcel number, longitude range and latitude range) of the land parcel into the land parcel data table.
110. Vehicles within the parcel are determined, as well as status information of the vehicles in the parcel.
The status information of the vehicles in the parcel may include a parking time, a proportion of parked vehicles, a proportion of parking time of vehicles in the nodes, a length of time that the vehicle takes the working action, a proportion of time that the vehicle takes the working action, and the like, averaged for each vehicle within the parcel.
In the embodiment of the invention, a plurality of working vehicles are arranged in the area to be identified, each vehicle can pass through different plots, and the vehicle node state information (namely the state information of the vehicle in the plot) of each plot in each time period can be determined by collecting the position information and the state monitoring data of the vehicle in each time period and then counting the collected position information and the state monitoring data of the vehicle.
In one embodiment, determining vehicles within a parcel, and status information of the vehicles in the parcel, comprises:
determining vehicles passing through the area to be identified in the current time period;
dividing the current time period into a plurality of moments;
acquiring the position of a vehicle at a moment;
determining the plot of the vehicle at the moment from the plot data table based on the position of the vehicle at the moment;
and writing the land parcel of the vehicle at the moment into a vehicle route table.
In the embodiment of the invention, the work area (namely the communication area) can be updated by using the latest data (including the position information of the vehicle, the state monitoring data and the like) every preset time length so as to deal with the characteristic that the work area changes along with the time, thereby improving the accuracy of area identification and further improving the accuracy of judgment of the vehicle operation state.
The current time period can be divided into a plurality of moments, two adjacent moments can be separated by a preset time length, and the embodiment of the invention can firstly acquire the position information (such as GPS position data) of the vehicle at each moment in the current time period and the node definition data (the plot information of the plot) in the plot data table. And then judging the land parcel where the vehicle is located according to the node definition data in the land parcel data table and the position information of the vehicle at each moment in the current time period, thereby forming a vehicle path expressed by the time sequence of land parcel numbers, namely writing the land parcel where the vehicle is located at each moment in the vehicle path table.
In one embodiment, determining vehicles within a parcel, and status information of the vehicles in the parcel, comprises:
acquiring state monitoring data of a vehicle at a moment;
determining path data, wherein the path data comprises state monitoring data of the vehicle at the moment and a plot of the vehicle at the moment;
and determining the state information of the vehicle in the land parcel according to the path data.
In the embodiment of the invention, the state monitoring data of the vehicle can comprise the vehicle speed, the gear state, the container state and the like, the state monitoring data of the vehicle in the current time period and the vehicle path in the vehicle path table are obtained, the state monitoring data of the vehicle and the vehicle path in the vehicle path table are combined through the corresponding relation of the timestamp and the vehicle number to obtain the vehicle state path data, the combined vehicle state path data are grouped by adopting the block number, and each data group is the vehicle node state information of all vehicles in a certain block.
The embodiment of the invention can acquire the state monitoring data respectively corresponding to the vehicles at a plurality of moments; then merging the state monitoring data respectively corresponding to the vehicles at a plurality of moments with the paths of the vehicles in the vehicle path list to obtain vehicle state path data; then, the land parcel number in the land parcel information of a plurality of land parcels can be determined; and determining the state information of the vehicle corresponding to the plurality of plots according to the vehicle state path data based on the plot numbers in the plot information of the plurality of plots.
120. And classifying the plots based on the state information of the vehicles in the plots to obtain the label types of the plots.
In embodiments of the present invention, tag types may include job parcels as well as non-job parcels.
According to the method and the device, the land parcel can be classified by adopting models such as a decision tree or a neural network and the like based on the state information of the vehicle in the land parcel, so that the label type of the land parcel can be obtained.
In one embodiment, classifying the parcel based on the status information of the vehicle in the parcel to obtain the tag type of the parcel comprises:
acquiring target state information from the state information of the vehicle in the land parcel;
determining a preset condition of a plot corresponding to the target state information;
when the target state information meets the preset conditions of the plot corresponding to the target state information, acquiring next target state information corresponding to the target state information from the state information of the vehicle in the plot;
determining a preset condition of a plot corresponding to the next target state information;
and when the next target state information is the last target state information of the vehicle in the state information of the plot and the next target state information meets the preset plot condition corresponding to the next target state information, marking the label type of the plot as the operation plot.
In the embodiment of the present invention, the land parcel is classified based on the state information of the vehicle in the land parcel, the historical land parcel state data (i.e. the state information of the vehicle in the land parcel in the historical time period) may be obtained first, and then a land parcel classification model for determining whether the land parcel is a working land parcel according to the state information of the vehicle in the land parcel is established by using the historical land parcel state data, and the method for establishing the land parcel classification model may include performing statistical analysis from the historical land parcel state data to obtain preset conditions of the land parcel of each feature (i.e. the state information), and arranging the preset conditions into a form of a land parcel decision tree, as shown in fig. 2b, for example: the state information of the vehicle on the parcel may include the number of vehicles in the parcel where parking behavior occurs, the average parking time of each vehicle, the number of vehicles in which work action occurs, the average duration of the work action of the vehicle, and so on, wherein the parcel preset condition corresponding to the state information of the number of vehicles in the parcel where parking behavior occurs is that the number of vehicles in the parcel exceeds 30%, the parcel preset condition corresponding to the state information of the average parking time of each vehicle is that the average parking time of each vehicle exceeds 2 minutes, the parcel preset condition corresponding to the state information of the number of vehicles in which work action occurs is that the number of vehicles in which work action occurs exceeds 20%, and the parcel preset condition corresponding to the state information of the average duration of the work action of the vehicle is that the average duration of the work action of the vehicle exceeds 1 minute, and so on. And when the last target state information of the vehicle in the state information of the land parcel meets the preset condition of the land parcel corresponding to the target state information, marking the label type of the land parcel as a working land parcel.
The embodiment of the invention can adopt a machine learning method to train a land parcel classification model which takes the land parcel characteristic statistics as input and judges whether the result is a work land parcel or not as output from historical land parcel state data, respectively input the vehicle node state information of each land parcel into the land parcel classification model, screen out the work land parcel, and then write the land parcel information of the screened work land parcel into a work area land parcel data table. As shown in fig. 2C, the abscissa and the ordinate in fig. 2C respectively represent the longitude and latitude of the area to be identified, the longitude and latitude of the area to be identified are divided into uniform small squares, each point in fig. 2C corresponds to the position coordinate of the vehicle at a certain moment, the area to be identified has a plurality of work places distributed at different positions, for example, 18 work places in the area a, 3 work places in the area B, 1 work place in the area C, and the like.
130. And determining a connected region in the region to be identified.
In an embodiment of the present invention, the connected region includes an adjacent work land and an independent work land.
The embodiment of the invention can carry out polymerization treatment on the operation plots to obtain the communication areas after polymerization treatment, and the communication areas after polymerization treatment can comprise a plurality of adjacent operation plots and/or a plurality of independent operation plots.
In one embodiment, the determining of the connected region in the region to be identified includes:
determining a previous area, wherein the area comprises an initial area, and the initial area comprises at least one work land;
acquiring other operation plots outside the previous area;
determining a minimum distance between the other work plots and the work plot in the previous area;
when the minimum distance is smaller than the preset distance, adding other operation plots into the previous area to obtain the current area;
and when the minimum distance between the other work land blocks outside the current area and the work land block in the current area is greater than the preset distance, taking the current area as a connected area.
In the embodiment of the present invention, a plot with a distance smaller than a certain distance may be defined as adjacent, then a work plot is randomly selected as an initial area, nodes having an adjacent relationship with nodes in the initial area are all included in the area in a cyclic recursion manner until no more work plots are adjacent to all work plots in the area, then a work plot is randomly selected from the remaining work plots to define a new area, and the process is sequentially cycled until all work plots are classified into a certain connected area. The embodiment of the invention can assign a unique area number to each connected area and write the corresponding relation between the connected areas and the operation land blocks in the connected areas into the area definition data table. As shown in fig. 2d, 8 connected regions are copolymerized, and the 8 connected regions are connected region S1, connected region S2, connected region S3, connected region S4, connected region S5, connected region S6, connected region S7, and connected region S8, respectively.
140. And classifying the connected regions based on the state information of the vehicle in the connected regions to obtain region labels of the connected regions.
In the embodiment of the present invention, the vehicle zone status information of the connected zone (i.e. the status information of the vehicle in the connected zone) may include a land area ratio which is last identified as a specific zone (such as an unloading zone, etc.), a parking time ratio of the vehicle in the zone, a time ratio of the vehicle in the zone with the container in a lifting state, a time ratio of the vehicle in the zone with the reverse gear, a number of times of the vehicle in the zone before the vehicle stops in the zone with the reverse gear, a time ratio of the vehicle in the zone with a charging state, a time ratio of the vehicle in each gear in the zone, an average rotation speed of the vehicle in each gear in the zone, an average torque of the vehicle in each gear in the zone with the motor, a time ratio of the vehicle in the zone with a hand brake in the zone, a zone size, etc.
The zone labels of the connected zones may be a loading zone, a charging zone, an unloading zone, a maintenance zone, and the like.
In one embodiment, classifying the connected regions based on the state information of the vehicle in the connected regions to obtain region labels of the connected regions includes:
determining area information of a connected area;
acquiring state information of a vehicle in a land parcel;
and determining the state information of the vehicle in the connected region according to the state information of the vehicle in the land area based on the region information of the connected region.
In the embodiment of the present invention, the connected region includes at least one work parcel, and the region information includes a region number of the connected region and a parcel number of the work parcel within the connected region.
The method and the device can firstly determine the area information (area number and the plot number of the operation plot in the communication area) of the communication area, and then acquire the state information of the vehicle in the plot; and determining the vehicle area state information of the connected region according to the state information of the vehicle in the land parcel based on the region number of the connected region and the land parcel number of the operation land parcel in the connected region.
In one embodiment, classifying the connected regions based on the state information of the vehicle in the connected regions to obtain region labels of the connected regions includes:
setting a plurality of regional processing flows, wherein each regional processing flow comprises at least one regional processing condition;
determining state information corresponding to the area processing conditions in the last area processing flow from the state information of the vehicle in the connected area;
when the state information corresponding to the area processing condition in the last area processing flow meets the area processing condition in the last area processing flow, marking the connected area as an area label corresponding to the last area processing flow;
when the state information corresponding to the area processing condition in the last area processing flow does not meet the area processing condition in the last area processing flow, determining the state information corresponding to the area processing condition in the next area processing flow from the state information of the connected areas of the vehicle;
and when the state information corresponding to the area processing condition in the next area processing flow meets the area processing condition in the next area processing flow, marking the connected area as an area label corresponding to the next area processing flow.
In the embodiment of the present invention, a plurality of zone processing flows may be set according to the state information of the vehicle in the connected zone, and each zone processing flow may include at least one zone processing condition. As shown in fig. 2e, status information corresponding to the area processing condition in the ith area processing flow may be determined, and when the status information corresponding to the area processing condition in the ith area processing flow satisfies the area processing condition in the ith area processing flow, the area tag of the connected area is marked as the ith area tag; when the state information corresponding to the region processing condition in the ith region processing flow does not satisfy the region processing condition in the ith region processing flow, determining the state information corresponding to the region processing condition in the (i + 1) th region processing flow, and when the state information corresponding to the region processing condition in the (i + 1) th region processing flow satisfies the region processing condition in the (i + 1) th region processing flow, marking the region label of the connected region as an (i + 1) th region label; when the status information corresponding to the area processing condition in the (i + 1) th area processing flow does not satisfy the area processing condition in the (i + 1) th area processing flow, the status information corresponding to the area processing condition in the (i + 2) th area processing flow may be determined; when the state information corresponding to the area processing condition in the (i + 2) th area processing flow meets the area processing condition in the (i + 2) th area processing flow, marking the area label of the connected area as the (i + 2) th area label; when the status information corresponding to the area processing condition in the (i + 2) th area processing flow does not satisfy the area processing condition in the (i + 2) th area processing flow, the (i + 3) th area processing flow may be entered.
Specifically, as shown in fig. 2f, S1 denotes a 1 st area processing flow, S2 denotes a 2 nd area processing flow, and S3 denotes a 3 rd area processing flow. The state information corresponding to the zone processing condition in the 1 st zone processing flow S1 includes the time during which each vehicle is in a charged state in the connected zone on average, and the zone processing condition in the 1 st zone processing flow S1 includes that the time in a charged state exceeds 20%, and that the time in a charged state exceeds 20% refers to the ratio of the time during which the vehicle is in a charged state in the connected zone to the total length of time during which the vehicle stays while passing through the connected zone. In the 1 st zone processing flow S1, when the time that the vehicle is in the charging state in the zone is more than 20% of the total time length of stay when the vehicle passes through the connected zone, the connected zone is marked as a power change zone; when the time during which the vehicle is in a charged state in the zone does not satisfy more than 20% of the total length of time the vehicle stays while passing through the connected zone, the zone 2 process flow S2 is entered.
The state information corresponding to the area processing conditions in the area processing flow S2 comprises the average time ratio of each container in the lifting state in the area, the average time ratio of each vehicle in reverse gear before parking in the area and the land parcel ratio identified as the unloading area at the last time; the proportion of the land parcel which is identified as the unloading area last time is the ratio of the number of the land parcel which is identified as the unloading area last time and the land parcel in the current area; the area processing conditions in the area processing flow S1 of fig. 2 include a time ratio of the container in the lifted state being more than 70%, a time ratio of the container in the lifted state being more than 40%, a time ratio of the reverse gear being put before the stop being more than 25%, and a land portion ratio of the unloading area identified last time being more than 50%. When the time ratio of the container in the lifting state is more than 70%, marking the communication area as an unloading area; when the time of the container in the lifting state accounts for no more than 40%, entering a 3 rd area processing flow S3; when the time proportion of the container in the lifting state is not more than 70% and more than 40%, judging whether the time proportion of reverse gear shifting before parking exceeds 25%, if so, marking the communication area as an unloading area; if not, judging whether the proportion of the land parcel identified as the unloading area at the last time exceeds 50%, and if so, marking the connected area as the unloading area; if not more than 50%, the flow proceeds to the area 3 processing flow S3.
The state information corresponding to the area processing condition in the area processing flow S3 includes the time ratio of reverse gear engagement before parking and the number of work plots in the connected area; the zone processing conditions in zone 3 processing flow S3 include that the time ratio of reverse gear before parking exceeds 20%, that the connected zone has at least 4 work plots, that the time ratio of reverse gear before parking exceeds 15%, and that the connected zone has at least 2 work plots. When the ratio of the time of engaging the reverse gear before parking exceeds 20%, judging whether the communication area has at least 4 operation plots, and if the communication area has at least 4 operation plots, marking the communication area as a loading area; when the ratio of the reverse gear engaging time before parking is not more than 20% or the connected region does not have at least 4 operation land parcels, judging whether the ratio of the reverse gear engaging time before parking is more than 15%, if so, judging whether the connected region has at least 2 operation land parcels, and if so, marking the connected region as a loading region; and if the connected region does not have at least 2 work land blocks or the time for engaging the reverse gear before parking is less than 15%, marking the connected region as other region.
In an embodiment of the present invention, history area state data (i.e., state information of a vehicle in a connected area in a history time period) may be obtained first, and a region classification model that determines a type label of the connected area according to the state information of the vehicle in the connected area is established using the history area state data, where the region classification model establishing method may include: the embodiment of the invention can adopt a machine learning method to train a multi-classification model which takes the region characteristic statistics as input and the region types as output from the historical region state data, input the characteristic statistical information of each region into the region classification model to obtain the type label of each region, and then write the type label result into a working region information table for recording.
In one embodiment, after the classifying the connected regions based on the state information of the vehicle in the connected regions and obtaining the region labels of the connected regions, the method includes:
and determining the working state of the vehicle according to the area label of the connected area when the vehicle is positioned in the connected area based on the next time period of the current time period.
In the embodiment of the invention, after the area tag of the connected area is acquired, when the vehicle enters the next time period for operation, the working state of the vehicle in the next time period can be directly determined according to the area tag of the connected area in the current time period. The working state of the vehicle comprises maintenance, battery replacement, loading, unloading and the like.
Due to the lack of load measuring points, complex field working environment and the like, the loading state of the vehicle is inconvenient to judge, and the number and the positions of working areas can be changed along with the working process; in the embodiment of the invention, the label of the communication area can be determined and updated in real time according to the latest historical data (including the position information, the state monitoring data and the like of the vehicle) so as to further judge the working state of the vehicle in the current time period. For example, the label of the communication area is determined and updated in real time according to the historical data of the previous time period, and the working state of the vehicle in the current time period is further determined; and determining and updating the label of the communicated area in real time according to the historical data of the current time period, and further pre-judging the working state of the vehicle in the next time period. The next time period is the next time period of the current time period. The last time period is a time period last to the current time period.
In the embodiment of the invention, a working area entity is defined, the working area corresponds to a working area of a field, and the types (a loading area, an unloading area, a power change area, a maintenance area and the like) of a connected area are distinguished through an area label. The work cycle is a work flow, for example, the work sequence may be loading, full load, unloading, no load, loading, or loading, full load, unloading, no load, battery swapping, no load, loading, etc.
The method and the device have the advantages that the areas to be identified are discretized into plots, the operation plots are identified by the statistical characteristics of nodes such as the parking time, the parking vehicle occupation ratio and the like of each vehicle, and the type of the connected areas is identified by the statistical characteristics of the areas such as the parking time occupation ratio of the vehicles in the areas and the time occupation ratio of the vehicles in the lifting states of containers in the areas, so that the latest classification labels of the connected areas are obtained.
Therefore, the method and the device can automatically identify the operation land parcels from the land parcels by dividing the areas to be identified into the land parcels, then aggregate the operation land parcels into a plurality of connected areas, and then classify and identify the connected areas, thereby obtaining the identification labels of the connected areas.
In order to better implement the method, an embodiment of the present application further provides an area tag identification apparatus, where the area tag identification apparatus may be specifically integrated in an electronic device, and the electronic device may be a terminal, a server, or other devices. The terminal can be a mobile phone, a tablet computer, an intelligent Bluetooth device, a notebook computer, a personal computer and other devices; the server may be a single server or a server cluster composed of a plurality of servers.
For example, in this embodiment, the method of the embodiment of the present application will be described in detail by taking an example in which the area tag identification apparatus is specifically integrated in the server.
For example, as shown in fig. 3, the area tag identification apparatus may include a parcel division module 301, a status determination module 302, a parcel classification module 303, a connected area determination module 304, and an area classification module 305, such as:
A land parcel dividing module 301, configured to divide the area to be identified into a plurality of land parcels.
In some embodiments, the plot partitioning module includes a plot partitioning submodule to:
determining the position range of the area to be identified;
and dividing the area to be identified into a plurality of plots according to the position range of the area to be identified, wherein the plots have preset sizes.
In some embodiments, the parcel partitioning module comprises an information writing module to:
determining land parcel information of a land parcel;
and writing the land parcel information of the land parcel into a land parcel data table.
A status determination module 302 for determining vehicles within the parcel, and status information of the vehicles in the parcel.
In some embodiments, the state determination module comprises a state determination first module to:
determining vehicles passing through the area to be identified in the current time period;
dividing a current time period into a plurality of moments;
acquiring the position of a vehicle at a moment;
determining the plot of the vehicle at the moment from the plot data table based on the position of the vehicle at the moment;
and writing the land parcel of the vehicle at the moment into a vehicle route table.
In some embodiments, the state determination module comprises a state determination second module to:
acquiring state monitoring data of a vehicle at a moment;
determining path data, wherein the path data comprises state monitoring data of the vehicle at the moment and a plot of the vehicle at the moment;
and determining the state information of the vehicle in the land parcel according to the path data.
(III) land parcel classification module 303
And the land parcel classification module 303 is configured to classify the land parcels based on the state information of the vehicles in the land parcels to obtain tag types of the land parcels, where the tag types include operation land parcels.
In some embodiments, the parcel classification module comprises a parcel classification submodule for:
acquiring target state information from the state information of the vehicle in the land;
determining a preset condition of the land parcel corresponding to the target state information;
when the target state information meets the preset conditions of the plot corresponding to the target state information, acquiring next target state information corresponding to the target state information from the state information of the vehicle in the plot;
determining a preset condition of the land parcel corresponding to the next target state information;
and when the next target state information is the last target state information of the vehicle in the state information of the plot and the next target state information meets the preset plot condition corresponding to the next target state information, marking the label type of the plot as the operation plot.
(IV) connected region determination Module 304
And a connected region determining module 304, configured to determine a connected region in the region to be identified, where the connected region includes adjacent work lands and independent work lands.
In some embodiments, the connected region determination module comprises a region aggregation module to:
determining a previous area, wherein the area comprises an initial area, and the initial area comprises at least one work land;
acquiring other operation plots outside the previous area;
determining a minimum distance between the other work plots and the work plot in the previous area;
when the minimum distance is smaller than the preset distance, adding other operation plots into the previous area to obtain the current area;
and when the minimum distance between the other work land blocks outside the current area and the work land block in the current area is greater than the preset distance, taking the current area as a connected area.
(V) region classification Module 305
And the area classification module 305 is configured to perform classification processing on the connected areas based on the state information of the vehicle in the connected areas, so as to obtain area tags of the connected areas.
In some embodiments, the region classification module comprises a region status determination module to:
determining area information of a connected area;
acquiring state information of a vehicle in a land parcel;
and determining the state information of the vehicle in the connected region according to the state information of the vehicle in the land area based on the region information of the connected region.
In some embodiments, the region classification module comprises a region classification sub-module to:
setting a plurality of regional processing flows, wherein each regional processing flow comprises at least one regional processing condition;
determining state information corresponding to the area processing conditions in the last area processing flow from the state information of the vehicle in the connected area;
when the state information corresponding to the area processing condition in the last area processing flow meets the area processing condition in the last area processing flow, marking the connected area as an area label corresponding to the last area processing flow;
when the state information corresponding to the area processing condition in the last area processing flow does not meet the area processing condition in the last area processing flow, determining the state information corresponding to the area processing condition in the next area processing flow from the state information of the connected areas of the vehicle;
and when the state information corresponding to the area processing condition in the next area processing flow meets the area processing condition in the next area processing flow, marking the connected area as an area label corresponding to the next area processing flow.
In some embodiments, the region classification module comprises an operating state determination module to:
and determining the working state of the vehicle according to the area label of the connected area when the vehicle is positioned in the connected area based on the next time period of the current time period.
In specific implementation, the above modules may be implemented as independent entities, or may be combined arbitrarily to be implemented as the same or several entities, and specific implementation of the above modules may refer to the foregoing method embodiments, which are not described herein again.
As can be seen from the above, the area tag identification apparatus of the embodiment can discretize the area to be identified into plots, identify the operation plots by averaging the statistical characteristics of the nodes such as the parking time, the parking vehicle occupation ratio, and the like of each vehicle, and identify the type of the connected area by the statistical characteristics of the areas such as the parking time occupation ratio of the vehicle in the area, the time occupation ratio of the vehicle in the lifting state of the container in the area, and the like, so as to obtain the latest classification tags of the connected area.
Therefore, the method and the device can automatically identify the operation land parcels from the land parcels by dividing the areas to be identified into the land parcels, then aggregate the operation land parcels into a plurality of connected areas, and then classify and identify the connected areas, thereby obtaining the identification labels of the connected areas.
Correspondingly, the embodiment of the present application further provides an electronic device, where the electronic device may be a terminal or a server, and the terminal may be a terminal device such as a smart phone, a tablet computer, a notebook computer, a touch screen, a game machine, a Personal computer, and a Personal Digital Assistant (PDA). The server may be a single server or a server cluster composed of a plurality of servers.
As shown in fig. 4, fig. 4 is a schematic structural diagram of an electronic device provided in the embodiment of the present application, where the electronic device includes: memory 401, processor 402, and communication module 403.
The Memory 401 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Read Only Memory (EPROM), an electrically Erasable Read Only Memory (EEPROM), a magnetic disk, a solid state disk, or the like. The memory 401 is used for storing programs, and the processor 402 executes the programs after receiving the execution instructions.
The processor 402 may be an integrated circuit chip having data processing capabilities. The Processor 402 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like. The methods, steps, and logic blocks of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The communication module 403 is used for communication connection between the electronic device and an external device, and implements transceiving operation of network signals and data. The network signal may include a wireless signal or a wired signal.
The specific implementation of each module can refer to the foregoing embodiments, and is not described herein again.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to the related descriptions of other embodiments.
Therefore, the electronic equipment provided by the embodiment can improve the identification efficiency and accuracy of the communicated areas, reduce the number of field dispatchers in a working area, and is favorable for guaranteeing production safety, facilitating the dispatchers to master the field operation state of vehicles in real time, and further favorable for improving the production dispatching efficiency.
It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by instructions or by associated hardware controlled by the instructions, which may be stored in a computer readable storage medium and loaded and executed by a processor.
To this end, the present application provides a computer-readable storage medium, in which a plurality of computer programs are stored, where the computer programs can be loaded by a processor to execute the steps in any one of the area tag identification methods provided by the embodiments of the present application.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
Wherein the storage medium may include: read Only Memory (ROM), random Access Memory (RAM), magnetic or optical disks, and the like.
Since the computer program stored in the storage medium can execute the steps in any area tag identification method provided in the embodiments of the present application, the beneficial effects that can be achieved by any area tag identification method provided in the embodiments of the present application can be achieved, and detailed descriptions are omitted here for the foregoing embodiments.
The foregoing describes in detail a method, an apparatus, an electronic device, and a storage medium for identifying a regional label provided in an embodiment of the present application, and a specific example is applied in the present application to explain the principle and the implementation of the present application, and the description of the foregoing embodiment is only used to help understand the method and the core idea of the present application; meanwhile, for those skilled in the art, according to the idea of the present application, the specific implementation manner and the application scope may be changed, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (9)
1. An area tag identification method, comprising:
dividing an area to be identified into a plurality of plots;
determining vehicles within the parcel and status information of the vehicles in the parcel;
classifying the plot based on the state information of the vehicle in the plot to obtain a tag type of the plot, wherein the tag type comprises a working plot, and is determined according to whether the state information of the vehicle meets a preset condition of the plot;
determining a communication area in the area to be identified, wherein the communication area comprises an adjacent operation land parcel and an independent operation land parcel;
classifying the connected regions based on the state information of the vehicle in the connected regions to obtain region labels of the connected regions;
wherein, the dividing the area to be identified into a plurality of plots comprises:
determining parcel information of the parcel;
writing the land parcel information of the land parcel into a land parcel data table;
wherein the determining the vehicles in the plot and the state information of the vehicles in the plot comprises:
determining vehicles passing through the area to be identified in the current time period;
dividing the current time period into a plurality of moments;
acquiring the position of the vehicle at the moment;
determining a parcel of the vehicle at the time from the parcel data table based on the position of the vehicle at the time;
writing the land parcel of the vehicle at the time into a vehicle path table;
acquiring state monitoring data of the vehicle at the moment;
determining path data including condition monitoring data of the vehicle at the time and a parcel of the vehicle at the time;
determining the state information of the vehicle in the land according to the path data;
the classifying the connected region based on the state information of the vehicle in the connected region to obtain the region label of the connected region includes:
determining region information of the connected region;
acquiring the state information of the vehicle in the land parcel;
and determining the state information of the vehicle in the connected region according to the state information of the vehicle in the land area based on the region information of the connected region.
2. The area tag identification method according to claim 1, wherein said dividing the area to be identified into a plurality of plots comprises:
determining the position range of the area to be identified;
and dividing the area to be identified into a plurality of plots according to the position range of the area to be identified, wherein the plots have preset sizes.
3. The area tag identification method according to claim 1, wherein the classifying the parcel based on the state information of the vehicle in the parcel to obtain the tag type of the parcel, the tag type including a work parcel, comprises:
acquiring target state information from the state information of the vehicle in the land parcel;
determining a preset condition of the land parcel corresponding to the target state information;
when the target state information meets a preset condition of a plot corresponding to the target state information, acquiring next target state information corresponding to the target state information from state information of the vehicle in the plot;
determining a preset condition of the land parcel corresponding to the next target state information;
and when the next target state information is the last target state information of the vehicle in the state information of the land parcel and the next target state information meets the preset conditions of the land parcel corresponding to the next target state information, marking the label type of the land parcel as an operation land parcel.
4. The area tag identification method according to claim 1, wherein the determining of the connected areas in the area to be identified, the connected areas including adjacent work lots and independent work lots, comprises:
determining a last area, wherein the area comprises an initial area, and the initial area comprises at least one work land;
acquiring other operation plots outside the previous area;
determining a minimum distance between the other work parcel and a work parcel in the previous zone;
when the minimum distance is smaller than a preset distance, adding the other operation plots into the previous area to obtain a current area;
and when the minimum distance between other operation land blocks outside the current area and the operation land block in the current area is greater than the preset distance, taking the current area as a communication area.
5. The area label identification method of claim 1, wherein the classifying the connected areas based on the status information of the vehicle in the connected areas to obtain the area labels of the connected areas comprises:
setting a plurality of regional processing flows, wherein each regional processing flow comprises at least one regional processing condition;
determining state information corresponding to the area processing conditions in the last area processing flow from the state information of the vehicle in the connected area;
when the state information corresponding to the area processing condition in the previous area processing flow meets the area processing condition in the previous area processing flow, marking the connected area as an area label corresponding to the previous area processing flow;
when the state information corresponding to the area processing condition in the last area processing flow does not meet the area processing condition in the last area processing flow, determining the state information corresponding to the area processing condition in the next area processing flow from the state information of the connected area of the vehicle;
and when the state information corresponding to the area processing condition in the next area processing flow meets the area processing condition in the next area processing flow, marking the connected area as an area label corresponding to the next area processing flow.
6. The area tag identification method according to claim 1, wherein after the classifying the connected areas based on the status information of the vehicle in the connected areas to obtain the area tags of the connected areas, the method further comprises:
and determining the working state of the vehicle according to the area label of the connected area when the vehicle is positioned in the connected area based on the next time period of the current time period.
7. An area tag identification apparatus, comprising:
the land parcel dividing module is used for dividing the area to be identified into a plurality of land parcels;
the state determining module is used for determining vehicles in the plot and state information of the vehicles in the plot;
the land parcel classification module is used for classifying the land parcels based on the state information of the vehicles in the land parcels to obtain the label types of the land parcels, wherein the label types comprise operation land parcels, and are determined according to whether the state information of the vehicles meets the preset conditions of the land parcels or not;
the communication area determining module is used for determining a communication area in the area to be identified, and the communication area comprises adjacent operation plots and independent operation plots;
the area classification module is used for classifying the connected areas based on the state information of the vehicle in the connected areas to obtain area labels of the connected areas;
the land parcel dividing module comprises an information writing module, and the information writing module is used for:
determining parcel information of the parcel;
writing the land parcel information of the land parcel into a land parcel data table;
wherein the state determination module comprises a first state determination module configured to:
determining vehicles passing through the area to be identified in the current time period;
dividing the current time period into a plurality of moments;
acquiring the position of the vehicle at the moment;
determining the plot of the vehicle at the time from the plot data table based on the position of the vehicle at the time;
writing the land parcel of the vehicle at the time into a vehicle path table;
wherein the state determination module comprises a second state determination module configured to:
acquiring state monitoring data of the vehicle at the moment;
determining path data including condition monitoring data of the vehicle at the time and a parcel of the vehicle at the time;
determining the state information of the vehicle in the land according to the path data;
wherein the region classification module comprises a region status determination module configured to:
determining area information of a connected area;
acquiring state information of a vehicle in a land parcel;
and determining the state information of the vehicle in the connected region according to the state information of the vehicle in the land area based on the region information of the connected region.
8. An electronic device comprising a processor and a memory, the memory storing a plurality of instructions, the processor loading the instructions to perform the steps in the area tag identification method of any of claims 1 to 6.
9. A storage medium storing a plurality of instructions adapted to be loaded by a processor to perform the steps of the method of any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210138138.2A CN114492696B (en) | 2022-02-15 | 2022-02-15 | Area tag identification method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210138138.2A CN114492696B (en) | 2022-02-15 | 2022-02-15 | Area tag identification method and device, electronic equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114492696A CN114492696A (en) | 2022-05-13 |
| CN114492696B true CN114492696B (en) | 2023-03-10 |
Family
ID=81480288
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210138138.2A Active CN114492696B (en) | 2022-02-15 | 2022-02-15 | Area tag identification method and device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114492696B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115861007A (en) * | 2022-12-13 | 2023-03-28 | 北奔重型汽车集团有限公司 | Scene identification method for illegal dumping of muck truck |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004169355A (en) * | 2002-11-19 | 2004-06-17 | Hitachi Constr Mach Co Ltd | Snow-removing control method and system |
| CN103164782A (en) * | 2011-12-16 | 2013-06-19 | 招商局国际信息技术有限公司 | Intelligent dispatching system and intelligent dispatching method of container trucks |
| CN104992072A (en) * | 2015-07-21 | 2015-10-21 | 江苏北斗卫星应用产业研究院有限公司 | Operation land parcel automatic identification and area statistics method based on spatial mesh division |
| CN112612975A (en) * | 2020-12-30 | 2021-04-06 | 北京优挂信息科技有限公司 | Method, device, equipment and storage medium for identifying type of commonly-transported goods of vehicle |
| CN113609983A (en) * | 2021-08-05 | 2021-11-05 | 武汉黎赛科技有限责任公司 | A locomotive tracking and positioning method, device, electronic device and storage medium |
| CN113705982A (en) * | 2021-08-06 | 2021-11-26 | 江苏方天电力技术有限公司 | Scheduling decision method for vehicle-mounted machine cooperative power patrol |
| CN113759835A (en) * | 2020-06-12 | 2021-12-07 | 北京京东乾石科技有限公司 | Vehicle scheduling method, device, equipment and storage medium |
| CN113919677A (en) * | 2021-09-29 | 2022-01-11 | 江苏徐工工程机械研究院有限公司 | An unmanned mine operation management system based on cloud platform |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6496775B2 (en) * | 2000-12-20 | 2002-12-17 | Tracer Net Corporation | Method and apparatus for providing automatic status information of a delivery operation |
| US20040039527A1 (en) * | 2000-12-20 | 2004-02-26 | Mcdonald Wesley E. | Method and apparatus for providing automatic status information of a vehicle operation cycle |
| JP2009199443A (en) * | 2008-02-22 | 2009-09-03 | Nishio Rent All Co Ltd | System for managing electric work vehicle in building |
| CN113837189A (en) * | 2021-08-12 | 2021-12-24 | 湖南匡楚科技有限公司 | Intelligent management method and system for unit vehicle |
-
2022
- 2022-02-15 CN CN202210138138.2A patent/CN114492696B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004169355A (en) * | 2002-11-19 | 2004-06-17 | Hitachi Constr Mach Co Ltd | Snow-removing control method and system |
| CN103164782A (en) * | 2011-12-16 | 2013-06-19 | 招商局国际信息技术有限公司 | Intelligent dispatching system and intelligent dispatching method of container trucks |
| CN104992072A (en) * | 2015-07-21 | 2015-10-21 | 江苏北斗卫星应用产业研究院有限公司 | Operation land parcel automatic identification and area statistics method based on spatial mesh division |
| CN113759835A (en) * | 2020-06-12 | 2021-12-07 | 北京京东乾石科技有限公司 | Vehicle scheduling method, device, equipment and storage medium |
| CN112612975A (en) * | 2020-12-30 | 2021-04-06 | 北京优挂信息科技有限公司 | Method, device, equipment and storage medium for identifying type of commonly-transported goods of vehicle |
| CN113609983A (en) * | 2021-08-05 | 2021-11-05 | 武汉黎赛科技有限责任公司 | A locomotive tracking and positioning method, device, electronic device and storage medium |
| CN113705982A (en) * | 2021-08-06 | 2021-11-26 | 江苏方天电力技术有限公司 | Scheduling decision method for vehicle-mounted machine cooperative power patrol |
| CN113919677A (en) * | 2021-09-29 | 2022-01-11 | 江苏徐工工程机械研究院有限公司 | An unmanned mine operation management system based on cloud platform |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114492696A (en) | 2022-05-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106372776A (en) | Vehicle scheduling system and method for unattended rental points in electric vehicle rental industry | |
| CN102426806A (en) | A method of UAV cruising in regional road network based on dynamic cell division | |
| CN113743812A (en) | Carrying vehicle load scheduling method based on smart park and central cloud platform | |
| Koh et al. | Using simulation to preview plans of a container port operations | |
| CN115909727A (en) | Toll station efficiency monitoring method and device | |
| CN102799733B (en) | Container tractor resource integration simulation system and method | |
| CN114492696B (en) | Area tag identification method and device, electronic equipment and storage medium | |
| CN112418475A (en) | Logistics path planning method and device, electronic equipment and storage medium | |
| CN104700630A (en) | Method and system for monitoring vehicle flow of highway | |
| CN113313453A (en) | Waterproof coating freight transportation management system based on internet | |
| CN120046945B (en) | Intelligent scheduling processing method and system for charging piles | |
| CN116777328A (en) | Logistics line and loading management method, device, equipment and storage medium | |
| CN117557199A (en) | Intelligent warehousing method, system and storage medium based on mathematical model | |
| CN119721890A (en) | A data processing method for logistics platform | |
| CN119026883B (en) | Cargo loading and distributing method and device, electronic equipment and storage medium | |
| CN116029481A (en) | Freight management method, device, equipment and storage medium | |
| CN205899803U (en) | A on -vehicle system of unmanned aerial vehicle for administer overload transfinites | |
| CN114781768A (en) | Parking lot facility planning method, device and equipment based on urban resource data | |
| CN119005629A (en) | Intelligent scheduling system and method for underground auxiliary transportation robot of coal mine | |
| CN118097968A (en) | Road traffic safety assessment method | |
| CN116384853B (en) | A management method and device for digital twin smart logistics | |
| Zhan et al. | Data accuracy oriented method for deploying fixed and mobile traffic sensors along a freeway | |
| CN112101877A (en) | Goods stacking management platform based on Internet of things | |
| CN113936469B (en) | Traffic information interaction system and method based on highway lane sensing equipment | |
| CN115273468B (en) | Traffic jam control strategy generation method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |