CN120220365A - Substation virtual fence cross-border protection early warning method and system based on the Internet of Things - Google Patents
Substation virtual fence cross-border protection early warning method and system based on the Internet of Things Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
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- G—PHYSICS
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/02—Mechanical actuation
- G08B13/12—Mechanical actuation by the breaking or disturbance of stretched cords or wires
- G08B13/122—Mechanical actuation by the breaking or disturbance of stretched cords or wires for a perimeter fence
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- G—PHYSICS
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- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/002—Generating a prealarm to the central station
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- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
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- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/10—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
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Abstract
The invention discloses a substation virtual fence boundary crossing protection early warning method and system based on the Internet of things, and belongs to the technical field of virtual fence boundary crossing protection. The method comprises the steps of establishing a three-dimensional coordinate grid of a transformer substation through laser radar scanning, defining a boundary coordinate set of a virtual fence, deploying equipment of the Internet of things to collect dynamic positions of moving objects, timing sensing time by using a time node, generating out-of-range feature labels containing distance and detection states, constructing a state sensing sensitivity matrix, evaluating out-of-range protection fusion sensitivity and effectiveness among sensing time segments, integrating a time range and analyzing a locking detection protection range. The system comprises a virtual fence construction module, an Internet of things device management module, a data processing module and an early warning evaluation module, so that real-time monitoring, risk evaluation and dynamic protection range adjustment of the out-of-range behavior of the transformer substation are realized, and the intelligent and accurate level of the safety protection of the transformer substation is improved.
Description
Technical Field
The invention relates to the technical field of virtual fence boundary crossing protection, in particular to a substation virtual fence boundary crossing protection early warning method and system based on the Internet of things.
Background
In the field of transformer substation safety protection, a traditional physical fence relies on an entity barrier to divide a safety area, and obvious technical bottlenecks exist:
The monitoring capability is limited in that a physical fence cannot cover complex spaces such as an overhead operation area, a cable pit and the like, the boundary crossing behavior in a three-dimensional space is difficult to track in real time, and a monitoring blind area exists;
the data isolation and hysteresis are that manual inspection or single-point monitoring by an independent sensor (such as infrared and camera) is relied on, the data lack of space-time correlation, the abnormal response delay is higher, and the real-time protection requirement cannot be met;
the traditional scheme is difficult to adapt to the layout adjustment or temporary operation scene of substation equipment, the boundary of the fence is fixed, a self-optimization mechanism is lacked, and the flexibility of a protection strategy is poor;
the risk assessment is extensive in that the early warning rule based on a single threshold value cannot be fused with multi-source data (such as position, time and equipment state), normal operation and out-of-range risks are difficult to distinguish accurately, and the false alarm rate is high.
With the development of the internet of things technology, collaborative monitoring through multiple sensors is possible, but the existing scheme still has the problems of asynchronous time stamps, insufficient data fusion depth and the like. For example, sensor-aware time-slicing results in discontinuous trajectory analysis, multiple device data is not effectively correlated, and a stereoscopic monitoring network cannot be formed. Therefore, a virtual fence technology based on the Internet of things is needed, and accurate early warning and protection of the substation boundary crossing risk are achieved through space-time data fusion and dynamic model optimization.
Disclosure of Invention
The invention aims to provide a substation virtual fence out-of-range protection early warning method and system based on the Internet of things, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme:
the substation virtual fence out-of-range protection early warning system based on the Internet of things comprises a virtual fence construction module, an Internet of things equipment management module, a data processing module and an early warning evaluation module;
the virtual fence construction module is used for establishing a virtual fence boundary coordinate set of the forbidden out-of-range area;
the Internet of things equipment management module is used for deploying Internet of things equipment in the out-of-range forbidden area, constructing an equipment archive and binding equipment installation positions;
The data processing module is used for timing the sensing time of the Internet of things equipment, generating a boundary crossing feature tag, constructing a state sensing sensitivity matrix and evaluating boundary crossing protection fusion sensitivity;
The early warning evaluation module is used for evaluating out-of-range protection effectiveness based on out-of-range protection fusion sensitivity, extracting and integrating perception time segments, and analyzing to obtain the locking detection protection range of the Internet of things equipment.
Further, the virtual fence construction module includes:
the coordinate generation unit is used for generating a three-dimensional coordinate grid of the transformer substation through laser radar scanning and generating a virtual fence boundary coordinate set of the forbidden boundary crossing area;
and the boundary definition unit is used for defining a virtual fence boundary of the forbidden out-of-range region based on the three-dimensional coordinate grid.
Further, the internet of things device management module includes:
The device deployment unit is used for deploying the Internet of things device in the out-of-range forbidden area, and the Internet of things device is used for acquiring the dynamic position of the moving object;
And the archive binding unit is used for constructing a device archive and binding the installation position of the Internet of things device based on the coordinate grid.
Further, the data processing module includes:
the time timing unit is used for timing the sensing time of each piece of internet of things equipment in an equal time node mode to obtain a continuous sensing time segment;
The feature generation unit is used for tracking the dynamic position of the moving object in the perception time segment, establishing a boundary crossing feature pair and generating a boundary crossing feature label;
the matrix construction unit is used for constructing a state perception sensitivity matrix based on the out-of-range feature labels to generate a matrix fragment stream;
and the sensitivity calculation unit is used for evaluating out-of-range protection fusion sensitivity between the perception time slices based on the matrix slice flow.
Further, the early warning evaluation module includes:
the effectiveness evaluation unit is used for calculating the effectiveness of the out-of-range protection based on the fusion sensitivity of the out-of-range protection;
the segment integration unit is used for extracting and integrating the perception time segments according to the effectiveness threshold to obtain an integrated perception time range;
and the protection range analysis unit is used for screening the early warning center set by taking the Internet of things equipment as the center in the integrated perception time range to form a locking detection protection range of the Internet of things equipment.
A substation virtual fence boundary crossing protection early warning method based on the Internet of things comprises the following steps:
step S1, establishing a virtual fence boundary coordinate set of a forbidden out-of-range region, deploying Internet of things equipment in the forbidden out-of-range region, constructing an equipment archive, and binding an installation position of the Internet of things equipment;
step S2, timing the sensing time of each Internet of things device in a mode of equal time nodes to obtain a continuous sensing time segment set, establishing out-of-range feature pairs and generating out-of-range feature labels;
S3, constructing a state perception sensitivity matrix based on the boundary crossing feature labels to generate a matrix segmentation flow;
And S4, based on the out-of-range protection fusion sensitivity, evaluating out-of-range protection effectiveness between the sensing time slices, extracting the sensing time slices to integrate the sensing time range, and based on the integrated sensing time range, analyzing and obtaining a locking detection protection range of the Internet of things equipment and outputting the locking detection protection range.
Further, the implementation process of the step S1 includes:
Generating a three-dimensional coordinate grid of the transformer substation through laser radar scanning, and generating a virtual fence boundary coordinate set of the forbidden out-of-range region , wherein,Representing the ith grid of coordinates,Is a coordinate gridI represents the total number of coordinate grids;
the method comprises the steps of deploying Internet of things equipment in an area forbidden to cross the border, wherein the Internet of things equipment is used for collecting dynamic positions of moving objects, constructing an equipment archive, binding the installation positions of the Internet of things equipment based on coordinate grids, and recording the j-th Internet of things equipment as follows The internet of things equipmentIs recorded as the mounting position of, wherein,Is the equipment of the Internet of thingsIs a coordinate value in the three-dimensional direction of (a).
Further, the implementation process of the step S2 includes:
timing the sensing time of each Internet of things device in a mode of equal time nodes to obtain a continuous sensing time segment set , wherein,Representing a G-th perceived time slice, G representing the total number of perceived time slices in a cycle of days;
Internet of things equipment At the time of sensingInternal tracking of dynamic position of moving object, if the moving object is tracked to enter the coordinate gridWhen the boundary crossing characteristic pair is establishedAnd generating out-of-range feature tags, wherein,Representing internet of things equipmentAnd a coordinate gridA fixed distance between them, an,Represents the detection state value, andWhen 0 is equal to 0 or 1, no moving object is detected, and when 1 is equal to 0, moving object is detected.
Further, the implementation process of the step S3 includes:
Based on the out-of-range feature tag, constructing a state sensing sensitivity matrix, wherein the row number of the state sensing sensitivity matrix is the coding number of the Internet of things equipment, the column number of the state sensing sensitivity matrix is the coding number of the coordinate grid, and the matrix position of the jth row and the ith column of the state sensing sensitivity matrix is Matrix positionThe matrix element values at areWill be in the sense of time slicesThe internally generated state-aware sensitivity matrix is noted asAnd obtain matrix fragment stream;
Based on the matrix-slice flow, the perceived time slices are evaluatedAnd perceived time sliceOut-of-range protection fusion sensitivity betweenIn which, in the process,Representing state-aware sensitivity matricesAnd state sensing sensitivity matrixThe total number of matrix positions with a value of 1 included between the boolean logical and,Representing state-aware sensitivity matricesAnd state sensing sensitivity matrixThe number of matrix positions with a value of 1 is included after the number is boolean logic.
Further, the implementation process of the step S4 includes:
Based on out-of-range protection fusion sensitivity, a perception time slice is evaluated And perceived time sliceOut-of-range protection effectiveness betweenIn which, in the process,Is the mean value of fusion sensitivity for out-of-range protection, and,To protect variance of fusion sensitivity from crossing boundary, and;
Presetting a validity threshold, if the validity of the out-of-range protection is exceededIf the effectiveness degree is greater than or equal to the effectiveness degree threshold, extracting a perception time sliceAnd a perception time sliceOtherwise, not extracting the perception time sliceAnd a perception time slice;
Performing segment fusion on all extracted perception time segments, setting a time sliding window, translating the time sliding window, and if the perception time segments in the time sliding window are continuous, performing time scale integration on the continuous perception time segments to obtain an integrated perception time range;
selecting an integrated sensing time range with the maximum time span, and using the Internet of things equipment within the integrated sensing time range with the maximum time span Centered, the out-of-range feature pairs corresponding to the matrix positions are collected in each state perception sensitivity matrixForming the equipment of the Internet of thingsIs recorded as the early warning center set of (1)And based on out-of-range feature tagsCentralized and internet of things equipment for screening and early warning centerThe shortest distance betweenIs a coordinate grid of (2)From a screened grid of coordinatesEquipment for forming Internet of thingsTo instruct an internet of things device in terms of lock detection protection rangePerforming detection protection of the next cycle;
In step S4, the lock detection guard range determination logic:
the screening basis of the early warning center set comprises that the early warning center set detects a coordinate grid structure of a moving object in each time segment, if the coordinate grid structure is not detected, the coordinate grid structure is 0, in the step S3, a state perception sensitivity matrix is formed, the detection states of different coordinate grids of different Internet of things devices are reflected, namely, the data is 1 or 0, if a certain coordinate grid is marked as 'detecting the moving object' in a plurality of continuous time segments, the moving object is detected in the region, and meanwhile, the continuous crossing risk (matrix quantification of numerical value 1 statistics) is reflected in a plurality of continuous time segments;
Screening purpose of shortest distance Internet of things equipment The lock detection guard range of (2) is required to dynamically focus on the area most likely to be out of range, and at the same time, the nearest grid point of the device is selectedBecause the sensing precision of the Internet of things equipment is attenuated along with the increase of the distance, the detection reliability of the short-distance grids is higher, meanwhile, the shortest distance screening can reduce redundant calculation, optimize resource allocation, namely, reasonably allocate which Internet of things equipment detects which coordinate grids, namely, the Internet of things equipment is formedThe locking detection protection range of the system has the physical significance that the system takes the Internet of things equipment as the center, and in a history effective detection area, important monitoring is preferentially carried out aiming at the nearest out-of-range risk point, so that a 'near-end priority' dynamic protection strategy is formed.
The method has the beneficial effects that in the method and the system for the boundary crossing protection and early warning of the virtual fence of the transformer substation based on the Internet of things, the three-dimensional coordinate grid of the transformer substation is established through laser radar scanning, the boundary coordinate set of the virtual fence is defined, the dynamic position of a moving object is collected by deploying equipment of the Internet of things, the time of sensing is timed by equal time nodes, a boundary crossing feature tag containing the distance and the detection state is generated, a state sensing sensitivity matrix is constructed, the boundary crossing protection fusion sensitivity and the effectiveness between sensing time slices are evaluated, the time range is integrated, and the locking detection protection range is analyzed. The system comprises a virtual fence construction module, an Internet of things device management module, a data processing module and an early warning evaluation module, so that real-time monitoring, risk evaluation and dynamic protection range adjustment of the out-of-range behavior of the transformer substation are realized, and the intelligent and accurate level of the safety protection of the transformer substation is improved.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention.
Fig. 1 is a schematic step diagram of a substation virtual fence boundary crossing protection early warning method based on the internet of things.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the first embodiment, a substation virtual fence out-of-range protection early warning system based on the Internet of things is provided, and the system comprises a virtual fence construction module, an Internet of things equipment management module, a data processing module and an early warning evaluation module;
the virtual fence construction module is used for establishing a virtual fence boundary coordinate set of the forbidden out-of-range area;
wherein, the virtual fence construction module includes:
the coordinate generation unit is used for generating a three-dimensional coordinate grid of the transformer substation through laser radar scanning and generating a virtual fence boundary coordinate set of the forbidden boundary crossing area;
a boundary definition unit for defining a virtual fence boundary of the forbidden out-of-range region based on the three-dimensional coordinate grid;
the Internet of things equipment management module is used for deploying Internet of things equipment in the out-of-range forbidden area, constructing an equipment archive and binding equipment installation positions;
Wherein, thing networking equipment management module includes:
The device deployment unit is used for deploying the Internet of things device in the out-of-range forbidden area, and the Internet of things device is used for acquiring the dynamic position of the moving object;
the archive binding unit is used for constructing an equipment archive and binding the installation position of the Internet of things equipment based on the coordinate grid;
The data processing module is used for timing the sensing time of the Internet of things equipment, generating a boundary crossing feature tag, constructing a state sensing sensitivity matrix and evaluating boundary crossing protection fusion sensitivity;
wherein the data processing module comprises:
the time timing unit is used for timing the sensing time of each piece of internet of things equipment in an equal time node mode to obtain a continuous sensing time segment;
The feature generation unit is used for tracking the dynamic position of the moving object in the perception time segment, establishing a boundary crossing feature pair and generating a boundary crossing feature label;
the matrix construction unit is used for constructing a state perception sensitivity matrix based on the out-of-range feature labels to generate a matrix fragment stream;
The sensitivity calculation unit is used for evaluating out-of-range protection fusion sensitivity between the perception time slices based on the matrix slice flow;
the early warning evaluation module is used for evaluating out-of-range protection effectiveness based on out-of-range protection fusion sensitivity, extracting and integrating perception time segments, and analyzing to obtain a locking detection protection range of the Internet of things equipment;
Wherein, early warning evaluation module includes:
the effectiveness evaluation unit is used for calculating the effectiveness of the out-of-range protection based on the fusion sensitivity of the out-of-range protection;
the segment integration unit is used for extracting and integrating the perception time segments according to the effectiveness threshold to obtain an integrated perception time range;
and the protection range analysis unit is used for screening the early warning center set by taking the Internet of things equipment as the center in the integrated perception time range to form a locking detection protection range of the Internet of things equipment.
Referring to fig. 1, in a second embodiment, a method for protecting and early warning of boundary crossing of a virtual fence of a transformer substation based on the internet of things is provided, so as to be applicable to the first embodiment, and the method includes the following steps:
step S1, establishing a virtual fence boundary coordinate set of a forbidden out-of-range region, deploying Internet of things equipment in the forbidden out-of-range region, constructing an equipment archive, and binding an installation position of the Internet of things equipment;
exemplary, generating a substation three-dimensional coordinate grid by laser radar scanning, generating a virtual fence boundary coordinate set of a forbidden out-of-range region , wherein,Representing the ith grid of coordinates,Is a coordinate gridI represents the total number of coordinate grids;
the method comprises the steps of deploying Internet of things equipment in an area forbidden to cross the border, wherein the Internet of things equipment is used for collecting dynamic positions of moving objects, constructing an equipment archive, binding the installation positions of the Internet of things equipment based on coordinate grids, and recording the j-th Internet of things equipment as follows The internet of things equipmentIs recorded as the mounting position of, wherein,Is the equipment of the Internet of thingsIs a coordinate value in the three-dimensional direction of (a).
Step S2, timing the sensing time of each Internet of things device in a mode of equal time nodes to obtain a continuous sensing time segment set, establishing out-of-range feature pairs and generating out-of-range feature labels;
Illustratively, the sensing time of each internet of things device is timed in a mode of equal time nodes to obtain a continuous sensing time segment set , wherein,Representing a G-th perceived time slice, G representing the total number of perceived time slices in a cycle of days;
Internet of things equipment At the time of sensingInternal tracking of dynamic position of moving object, if the moving object is tracked to enter the coordinate gridWhen the boundary crossing characteristic pair is establishedAnd generating out-of-range feature tags, wherein,Representing internet of things equipmentAnd a coordinate gridA fixed distance between them, an,Represents the detection state value, andWhen 0 is equal to 0 or 1, no moving object is detected, and when 1 is equal to 0, moving object is detected.
S3, constructing a state perception sensitivity matrix based on the boundary crossing feature labels to generate a matrix segmentation flow;
Exemplary, based on the out-of-range feature tag, a state sensing sensitivity matrix is constructed, wherein the row number of the state sensing sensitivity matrix is the code number of the internet of things device, the column number of the state sensing sensitivity matrix is the code number of the coordinate grid, and the matrix position of the jth row and the ith column of the state sensing sensitivity matrix is Matrix positionThe matrix element values at areWill be in the sense of time slicesThe internally generated state-aware sensitivity matrix is noted asAnd obtain matrix fragment stream;
Based on the matrix-slice flow, the perceived time slices are evaluatedAnd perceived time sliceOut-of-range protection fusion sensitivity betweenIn which, in the process,Representing state-aware sensitivity matricesAnd state sensing sensitivity matrixThe total number of matrix positions with a value of 1 included between the boolean logical and,Representing state-aware sensitivity matricesAnd state sensing sensitivity matrixThe number of matrix positions with a value of 1 is included after the number is boolean logic.
Step S4, based on the out-of-range protection fusion sensitivity, evaluating out-of-range protection effectiveness between the perception time slices, and extracting the perception time slices to integrate the perception time range;
Illustratively, the perceived temporal segment is evaluated based on out-of-range protection fusion sensitivity And perceived time sliceOut-of-range protection effectiveness betweenIn which, in the process,Is the mean value of fusion sensitivity for out-of-range protection, and,To protect variance of fusion sensitivity from crossing boundary, and;
Presetting a validity threshold, if the validity of the out-of-range protection is exceededIf the effectiveness degree is greater than or equal to the effectiveness degree threshold, extracting a perception time sliceAnd a perception time sliceOtherwise, not extracting the perception time sliceAnd a perception time slice;
Performing segment fusion on all extracted perception time segments, setting a time sliding window, translating the time sliding window, and if the perception time segments in the time sliding window are continuous, performing time scale integration on the continuous perception time segments to obtain an integrated perception time range;
selecting an integrated sensing time range with the maximum time span, and using the Internet of things equipment within the integrated sensing time range with the maximum time span Centered, the out-of-range feature pairs corresponding to the matrix positions are collected in each state perception sensitivity matrixForming the equipment of the Internet of thingsIs recorded as the early warning center set of (1)And based on out-of-range feature tagsCentralized and internet of things equipment for screening and early warning centerThe shortest distance betweenIs a coordinate grid of (2)From a screened grid of coordinatesEquipment for forming Internet of thingsTo instruct an internet of things device in terms of lock detection protection rangeAnd carrying out detection protection of the next cycle period.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that the above-mentioned embodiments are merely preferred embodiments of the present invention, and are not intended to limit the present invention, and although the present invention has been described in detail with reference to the above-mentioned embodiments, it will be apparent to those skilled in the art that modifications may be made to the technical solutions described in the above-mentioned embodiments, or equivalents may be substituted for some of the technical features thereof. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The substation virtual fence out-of-range protection early warning method based on the Internet of things is characterized by comprising the following steps of:
step S1, establishing a virtual fence boundary coordinate set of a forbidden out-of-range region, deploying Internet of things equipment in the forbidden out-of-range region, constructing an equipment archive, and binding an installation position of the Internet of things equipment;
step S2, timing the sensing time of each Internet of things device in a mode of equal time nodes to obtain a continuous sensing time segment set, establishing out-of-range feature pairs and generating out-of-range feature labels;
S3, constructing a state perception sensitivity matrix based on the boundary crossing feature labels to generate a matrix segmentation flow;
And S4, based on the out-of-range protection fusion sensitivity, evaluating out-of-range protection effectiveness between the sensing time slices, extracting the sensing time slices to integrate the sensing time range, and based on the integrated sensing time range, analyzing and obtaining a locking detection protection range of the Internet of things equipment and outputting the locking detection protection range.
2. The method for protecting and early warning of the boundary crossing of the virtual fence of the transformer substation based on the internet of things according to claim 1, wherein the specific implementation process of the step S1 comprises the following steps:
Generating a three-dimensional coordinate grid of the transformer substation through laser radar scanning, and generating a virtual fence boundary coordinate set of the forbidden out-of-range region , wherein,Representing the ith grid of coordinates,Is a coordinate gridI represents the total number of coordinate grids;
the method comprises the steps of deploying Internet of things equipment in an area forbidden to cross the border, wherein the Internet of things equipment is used for collecting dynamic positions of moving objects, constructing an equipment archive, binding the installation positions of the Internet of things equipment based on coordinate grids, and recording the j-th Internet of things equipment as follows The internet of things equipmentIs recorded as the mounting position of, wherein,Is the equipment of the Internet of thingsIs a coordinate value in the three-dimensional direction of (a).
3. The method for protecting and early warning of the boundary crossing of the virtual fence of the transformer substation based on the internet of things according to claim 2, wherein the specific implementation process of the step S2 comprises the following steps:
timing the sensing time of each Internet of things device in a mode of equal time nodes to obtain a continuous sensing time segment set , wherein,Representing a G-th perceived time slice, G representing the total number of perceived time slices in a cycle of days;
Internet of things equipment At the time of sensingInternal tracking of dynamic position of moving object, if the moving object is tracked to enter the coordinate gridWhen the boundary crossing characteristic pair is establishedAnd generating out-of-range feature tags, wherein,Representing internet of things equipmentAnd a coordinate gridA fixed distance between them, an,Represents the detection state value, andWhen 0 is equal to 0 or 1, no moving object is detected, and when 1 is equal to 0, moving object is detected.
4. The method for protecting and early warning of the boundary crossing of the virtual fence of the transformer substation based on the internet of things according to claim 3, wherein the specific implementation process of the step S3 comprises the following steps:
Based on the out-of-range feature tag, constructing a state sensing sensitivity matrix, wherein the row number of the state sensing sensitivity matrix is the coding number of the Internet of things equipment, the column number of the state sensing sensitivity matrix is the coding number of the coordinate grid, and the matrix position of the jth row and the ith column of the state sensing sensitivity matrix is Matrix positionThe matrix element values at areWill be in the sense of time slicesThe internally generated state-aware sensitivity matrix is noted asAnd obtain matrix fragment stream;
Based on the matrix-slice flow, the perceived time slices are evaluatedAnd perceived time sliceOut-of-range protection fusion sensitivity betweenIn which, in the process,Representing state-aware sensitivity matricesAnd state sensing sensitivity matrixThe total number of matrix positions with a value of 1 included between the boolean logical and,Representing state-aware sensitivity matricesAnd state sensing sensitivity matrixThe number of matrix positions with a value of 1 is included after the number is boolean logic.
5. The method for protecting and early warning of the boundary crossing of the virtual fence of the transformer substation based on the internet of things according to claim 4, wherein the specific implementation process of the step S4 comprises the following steps:
Based on out-of-range protection fusion sensitivity, a perception time slice is evaluated And perceived time sliceOut-of-range protection effectiveness betweenIn which, in the process,Is the mean value of fusion sensitivity for out-of-range protection, and,To protect variance of fusion sensitivity from crossing boundary, and;
Presetting a validity threshold, if the validity of the out-of-range protection is exceededIf the effectiveness degree is greater than or equal to the effectiveness degree threshold, extracting a perception time sliceAnd a perception time sliceOtherwise, not extracting the perception time sliceAnd a perception time slice;
Performing segment fusion on all extracted perception time segments, setting a time sliding window, translating the time sliding window, and if the perception time segments in the time sliding window are continuous, performing time scale integration on the continuous perception time segments to obtain an integrated perception time range;
selecting an integrated sensing time range with the maximum time span, and using the Internet of things equipment within the integrated sensing time range with the maximum time span Centered, the out-of-range feature pairs corresponding to the matrix positions are collected in each state perception sensitivity matrixForming the equipment of the Internet of thingsIs recorded as the early warning center set of (1)And based on out-of-range feature tagsCentralized and internet of things equipment for screening and early warning centerThe shortest distance betweenIs a coordinate grid of (2)From a screened grid of coordinatesEquipment for forming Internet of thingsTo instruct an internet of things device in terms of lock detection protection rangeAnd carrying out detection protection of the next cycle period.
6. The substation virtual fence out-of-range protection early warning system based on the Internet of things for executing the substation virtual fence out-of-range protection early warning method according to any one of claims 1 to 5 is characterized in that the system comprises a virtual fence construction module, an Internet of things equipment management module, a data processing module and an early warning evaluation module;
the virtual fence construction module is used for establishing a virtual fence boundary coordinate set of the forbidden out-of-range area;
the Internet of things equipment management module is used for deploying Internet of things equipment in the out-of-range forbidden area, constructing an equipment archive and binding equipment installation positions;
The data processing module is used for timing the sensing time of the Internet of things equipment, generating a boundary crossing feature tag, constructing a state sensing sensitivity matrix and evaluating boundary crossing protection fusion sensitivity;
The early warning evaluation module is used for evaluating out-of-range protection effectiveness based on out-of-range protection fusion sensitivity, extracting and integrating perception time segments, and analyzing to obtain the locking detection protection range of the Internet of things equipment.
7. The internet of things-based substation virtual fence out-of-range protection pre-warning system of claim 6, wherein the virtual fence construction module comprises:
the coordinate generation unit is used for generating a three-dimensional coordinate grid of the transformer substation through laser radar scanning and generating a virtual fence boundary coordinate set of the forbidden boundary crossing area;
and the boundary definition unit is used for defining a virtual fence boundary of the forbidden out-of-range region based on the three-dimensional coordinate grid.
8. The internet of things-based substation virtual fence out-of-range protection and early warning system of claim 6, wherein the internet of things device management module comprises:
The device deployment unit is used for deploying the Internet of things device in the out-of-range forbidden area, and the Internet of things device is used for acquiring the dynamic position of the moving object;
And the archive binding unit is used for constructing a device archive and binding the installation position of the Internet of things device based on the coordinate grid.
9. The internet of things-based substation virtual fence out-of-range protection pre-warning system of claim 6, wherein the data processing module comprises:
the time timing unit is used for timing the sensing time of each piece of internet of things equipment in an equal time node mode to obtain a continuous sensing time segment;
The feature generation unit is used for tracking the dynamic position of the moving object in the perception time segment, establishing a boundary crossing feature pair and generating a boundary crossing feature label;
the matrix construction unit is used for constructing a state perception sensitivity matrix based on the out-of-range feature labels to generate a matrix fragment stream;
and the sensitivity calculation unit is used for evaluating out-of-range protection fusion sensitivity between the perception time slices based on the matrix slice flow.
10. The internet of things-based substation virtual fence out-of-range protection pre-warning system of claim 6, wherein the pre-warning assessment module comprises:
the effectiveness evaluation unit is used for calculating the effectiveness of the out-of-range protection based on the fusion sensitivity of the out-of-range protection;
the segment integration unit is used for extracting and integrating the perception time segments according to the effectiveness threshold to obtain an integrated perception time range;
and the protection range analysis unit is used for screening the early warning center set by taking the Internet of things equipment as the center in the integrated perception time range to form a locking detection protection range of the Internet of things equipment.
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