CN113128801B

CN113128801B - Vehicle resource management method and device, terminal equipment and storage medium

Info

Publication number: CN113128801B
Application number: CN201911401831.9A
Authority: CN
Inventors: 赵江涛
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Group Shanxi Co Ltd
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Group Shanxi Co Ltd
Priority date: 2019-12-30
Filing date: 2019-12-30
Publication date: 2024-07-26
Anticipated expiration: 2039-12-30
Also published as: CN113128801A

Abstract

The embodiment of the invention discloses a vehicle resource management method, a device, terminal equipment and a storage medium, wherein the method comprises the following steps: acquiring material information of a transport object; determining target logistics vehicle information of a transportation object according to the material information; a material assembling order is generated based on the target logistics vehicle information and the material information to assemble the transport object onto the target logistics vehicle according to the material assembling order. So as to solve the problem of wasting the transportation capacity caused by the fact that the transportation capacity of the vehicle cannot be fully utilized.

Description

Vehicle resource management method and device, terminal equipment and storage medium

Technical Field

The embodiment of the invention relates to the technical field of data processing, in particular to a vehicle resource management method, a device, terminal equipment and a storage medium.

Background

Along with the globalization process, competition among enterprises is also becoming increasingly strong, and logistics technology and storage capacity levels are increasingly weighted in the enterprise competitiveness level.

At present, for the existing logistics transportation, for the logistics transportation of mass and multi-class materials, more staff select proper vehicle types according to experience, then, the materials are loaded on related vehicles, and the vehicles are filled. Because the appropriate vehicle type is selected according to experience by staff to carry out material transportation, the transportation capacity of the vehicle can not be fully utilized in some scenes, and the transportation capacity is wasted.

Disclosure of Invention

The embodiment of the invention provides a vehicle resource management method, a device, terminal equipment and a storage medium, which are used for solving the problem that the capacity of a vehicle cannot be fully utilized and the capacity is wasted in the related technology.

In order to solve the technical problems, the invention is realized as follows:

in a first aspect, an embodiment of the present invention provides a vehicle resource management method, which may include:

Acquiring material information of a transport object;

determining target logistics vehicle information of a transportation object according to the material information;

a material assembling order is generated based on the target logistics vehicle information and the material information to assemble the transport object onto the target logistics vehicle according to the material assembling order.

In one possible embodiment, the "material information" referred to above may include material physical property information and material flow property information;

Wherein the physical property information of the material includes at least one of: material bar code, material name, supplier, belonging subject, stock type, belonging project, material batch, package quantity, package length, package width, package height, weight, stacking condition;

The material stream characteristic information includes at least one of: logistics charging mode, transportation classification, pressure-bearing condition, packaging condition, safety condition and transportation condition.

In another possible embodiment, the step of determining the target logistics vehicle information of the transportation object according to the material information may specifically include:

When a plurality of transport objects are provided, classifying the materials of the transport objects according to the material information to obtain at least one class group;

and determining the target logistics vehicle information of the category group according to the physical property information and the physical property information of the transported objects in the category group.

In still another possible embodiment, the step of determining the target logistics vehicle information of the transportation object according to the material information may specifically include:

Acquiring the vehicle types of a plurality of logistics vehicles which are currently available and the standard load density of the vehicles corresponding to the vehicle types;

Calculating the material density of the transportation object according to the material information;

and determining target logistics vehicle information of the transportation object according to the standard load density and the material density of the vehicle.

In still another possible embodiment, the step of determining the standard load density of the vehicle corresponding to the vehicle type may specifically include:

according to the type of the vehicle, acquiring a standard maximum load of the vehicle and a standard maximum capacity of the vehicle;

and determining the standard load density of the vehicle according to the ratio of the standard maximum load of the vehicle to the standard maximum capacity of the vehicle.

In still another possible embodiment, the step of calculating the material density of the transportation object according to the material information may specifically include:

Determining the material weight of the transporting object and the material volume of the transporting object according to the material information;

And obtaining the material density according to the ratio of the material weight to the material volume.

In still another possible embodiment, the step of determining the target logistics vehicle information of the transportation object according to the standard load density and the material density of the vehicle may specifically include:

According to the vehicle type, obtaining a basic freight corresponding to the vehicle type;

and determining target logistics vehicle information of the transportation object according to the standard load density, the material density and the basic freight.

In yet another possible embodiment, the "target logistics vehicle information" referred to above may include at least one of the following: vehicle type, cabin size, load capacity, cargo capacity, and number of vehicles.

and determining target logistics vehicle information of the transportation object according to the material information and the basic freight of the vehicle.

In still another possible embodiment, the step of generating the material assembly sequence based on the target logistics vehicle information and the material information may specifically include:

processing the target vehicle information and the material information through a material vehicle assembly model to obtain a plurality of assembly sequences;

and determining an assembly sequence with priority meeting a preset condition in the plurality of assembly sequences as a material assembly sequence, and displaying the material assembly sequence to a user.

In a second aspect, an embodiment of the present invention provides a vehicle resource management device, which may include:

The acquisition module is used for acquiring the material information of the transportation object;

The processing module is used for determining target logistics vehicle information of the transportation object according to the material information;

And the generation module is used for generating a material assembly sequence based on the target logistics vehicle information and the material information so as to assemble the transportation object on the target logistics vehicle according to the material assembly sequence.

In a third aspect, an embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored on the memory and executable on the processor, the computer program implementing the vehicle resource management method as shown in the first aspect when executed by the processor.

In a fourth aspect, there is provided a computer-readable storage medium having stored thereon a computer program which, if executed in a computer, causes the computer to execute the vehicle resource management method as described in the first aspect.

In the embodiment of the invention, the material information of the transportation object and the logistics vehicle information of the equipped vehicles are collected, the carried vehicles of the transportation object to be delivered are adapted, the target logistics vehicle information required by the transportation object during transportation is finally given, and the material assembly sequence of each vehicle is given. In this way, due to the diversity of the material information of each transportation object, the material information and the logistic vehicle information to be determined should be comprehensively calculated and evaluated in detail during calculation. Meanwhile, the assembly mode of the transportation objects is calculated while the target logistics vehicles are determined, and various transportation objects can be subjected to treatments such as clearance, line changing, rotation, clearance, intersection, mixing and stacking, so that the carriage space of the target logistics vehicles is utilized to the maximum extent, and the material assembly sequence of various transportation objects under complex conditions is realized. Therefore, manual intervention is avoided, material transfer is arranged more reasonably, the transport capacity of the vehicle is fully utilized, and transport capacity waste is avoided.

Drawings

The invention will be better understood from the following description of specific embodiments thereof taken in conjunction with the accompanying drawings in which like or similar reference characters designate like or similar features.

Fig. 1 is a schematic structural diagram of a vehicle resource management system according to an embodiment of the present invention;

FIG. 2 is a flowchart of a method for managing vehicle resources according to an embodiment of the present invention;

FIG. 3 is a flow chart of a vehicle resource management method based on a vehicle resource management system according to an embodiment of the present invention;

Fig. 4 is a schematic structural diagram of a vehicle resource management device according to an embodiment of the present invention;

Fig. 5 is a schematic hardware structure of a terminal device according to an embodiment of the present invention.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. 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.

At present, with the globalization process, competition among enterprises is becoming increasingly strong, and the weight of logistics technology and storage capacity level in the enterprise competitiveness level is increasing, so that the logistics management level of the enterprise directly influences the market competitiveness of the enterprise. How to reduce the storage logistics cost becomes a great point of concern for enterprises.

During the existing logistics transportation, for the logistics transportation of a large number of materials in batches, during the process of delivering the materials out of a warehouse, estimation adaptation is carried out according to the volume and the weight of the materials, more staff load the materials according to experience by adopting a box-loading method, and the materials are fully loaded. Thus, the calculation is not performed in an accurate mode, so that the capacity of the vehicle cannot be fully utilized, and the capacity is wasted.

Aiming at the problems of the related art, the embodiment of the invention provides a vehicle resource management method, a device, a terminal device and a storage medium, which are used for solving the problems that the transport capacity of a vehicle cannot be fully utilized and the transport capacity is wasted in the related art.

In the scenario of vehicle resource management in the logistics warehouse, the method and the system can acquire the material information of transportation objects such as heavy goods, bubble goods, material single package and the like, and the equipped logistics vehicle information, and adapt the material information according to different logistics vehicles so as to obtain target logistics vehicle information carrying the material information; next, a material assembling order is generated based on the target logistics vehicle information and the material information to assemble the transport object onto the target logistics vehicle according to the material assembling order.

Or under the conditions of more types, complex types and large quantity of materials discharged from a warehouse, acquiring the material information of transportation objects such as heavy goods, bubble goods, material single packages and the like and the equipped logistics vehicle information, acquiring the material physical property information, the material logistics property information and the vehicle information of the equipped vehicle library in the material information of the heavy goods, bubble goods, material single packages, grouping the transportation objects according to the material logistics property information, adapting the transportation objects with different logistics requirements according to different logistics vehicles, and obtaining the target logistics vehicle information. After grouping, calculating the average density of materials of each group of transportation objects, and determining and selecting final target logistics vehicle information according to the average density of materials, the logistics characteristic information of materials, the number of vehicles required by each vehicle type and the basic freight information of each vehicle type. After the vehicle model is selected, the heavy goods and the bubble goods loaded by the single vehicle are matched, the matched quantity of the bubble goods and the heavy goods carried by each vehicle is coordinated, and a carried material list, an assembly sequence and an assembly position of each vehicle during material transportation are finally provided through a material vehicle assembly algorithm, so that the transportation capacity of the vehicle is utilized to the maximum extent, and the cost of storage logistics is reduced.

Based on the above-mentioned method, the embodiment of the present invention provides a vehicle resource management system, which may be described in detail in connection with the system shown in fig. 1.

Fig. 1 is a schematic structural diagram of a vehicle resource management system according to an embodiment of the present invention.

As shown in fig. 1, the system may include: the system comprises a warehouse-out scheduling module, a physical characteristic information module, a logistics characteristic information module, a material aggregation grouping module, an available vehicle information management module, a vehicle adaptation algorithm module, a basic freight information management module, a vehicle loading optimization module and a vehicle loading recommendation module.

Each of the above modules is described in detail below:

(1) Ex-warehouse scheduling module

The dispatch module is used for providing the dispatch personnel with the function of obtaining the material information (including the physical property information and the physical property information) of the transportation object when the dispatch personnel goes out of the transportation object to dispatch the operation, and the dispatch personnel calls the material information of the transportation object through the dispatch module and provides the material information to the vehicle adaptation algorithm module so that the vehicle adaptation algorithm module calls the information related to the transportation object in other modules.

(2) Physical characteristic information module

The physical characteristic information module is used for providing the physical characteristic information extraction, splitting and calculation functions of the transportation object, and can realize accurate physical characteristic information acquisition of the transportation object by carrying out basic presetting on the physical characteristic information calculation mode of split transportation object package.

(3) Logistics characteristic information module

The logistics characteristic information module is used for providing the management and extraction functions of logistics information such as logistics charging modes, transportation classification, pressure-bearing conditions, packaging requirements, safety requirements, transportation requirements and the like of the types corresponding to the transportation objects.

(4) Material aggregation grouping module

The material aggregation grouping module is used for realizing aggregation and grouping functions of materials according to different transportation requirements on transportation objects through the information output by the physical characteristic information module and the logistics characteristic information module.

It should be noted that in some scenarios, the module may be absent, i.e. the physical property module and the logistic property module are directly connected to the vehicle adaptation algorithm module 6.

(5) Available vehicle information management module

The available vehicle information management module is used for providing basic information such as vehicle types, vehicle sizes, carrying capacity and the like of available vehicles for material delivery scheduling in the current warehouse logistics management.

(6) Vehicle adaptation algorithm module

The vehicle adaptation algorithm module is used for requesting to acquire the logistics characteristic information and the physical characteristic information from the logistics characteristic information module and the physical characteristic information module (or the material aggregation grouping module) according to the transportation object list to be transported, which is output by the ex-warehouse scheduling module.

After the data acquisition is completed, the adaptation algorithm module groups the materials according to the transportation object list and the logistics characteristic information and the physical characteristic information corresponding to each transportation object (or invokes the material aggregation grouping module to group the materials, so as to realize the aggregation grouping of the transportation objects with different logistics requirements, and according to the material grouping result, the adaptation algorithm module acquires the available logistics vehicle information corresponding to each group of materials from the available vehicle information management module.

After the available logistics vehicle information is obtained, the vehicle adaptation algorithm models the material information (or grouping result) and calculates the material density of the transportation object (in each grouping). And according to the available standard loading density of the vehicle corresponding to the group of transport objects, optimizing the vehicle by a vehicle model optimizing method, obtaining a vehicle adapting result, estimating the number of vehicles required when the type of vehicle is used, and submitting the number of vehicles to a vehicle loading optimizing module.

(7) Basic freight information management module

The basic freight information management module is used for providing basic freight information maintenance of available vehicles corresponding to the transportation objects, and the functions of basic freight information grouping inquiry and information extraction of vehicles of different logistics types.

(8) Vehicle loading preference module

The vehicle loading optimization module is used for calling the vehicle transportation cost calculation function of the basic transportation cost information management module to extract the current ex-warehouse logistics vehicle adaptation result list, and optimizing the ex-warehouse logistics vehicle adaptation result according to the transportation cost calculation result, so that the target logistics vehicle information is determined.

(9) Vehicle loading recommendation module

The vehicle loading recommendation module performs final calculation on the number and loading positions of the recommended loading transportation objects of each vehicle of each group of recommended logistics vehicles through a vehicle adaptation algorithm and a vehicle loading algorithm, so that the recommended vehicle adaptation result information of the transportation objects, namely target logistics vehicle information, is obtained.

The target logistics vehicle information may include the number of vehicles used, the type and number of materials loaded by each vehicle, and loading position information of each vehicle material. The final target logistics vehicle information is fed back to the warehouse logistics dispatcher, the target vehicle loading recommendation of the transportation object is completed, and the warehouse logistics dispatcher conveniently dispatches vehicles according to the recommendation result; and the storage operators can conveniently load materials to the vehicles according to the recommended results.

Therefore, based on the system, the vehicle resource management method provided by the embodiment of the invention is described in detail.

Fig. 2 is a flowchart of a vehicle resource management method according to an embodiment of the present invention.

As shown in fig. 2, the method may include steps 210-230, as follows:

Step 210, obtaining material information of the transportation object.

Wherein the material information includes material physical property information and material physical property information.

Here, the material physical property information includes at least one of: material bar code, material name, supplier, belonging body, stock type, belonging project, material batch, package quantity, package length, package width, package height, weight, stacking condition.

And 220, determining target logistics vehicle information of the transportation object according to the material information.

(1) The embodiment of the invention provides a method for determining target logistics vehicle information according to material information, which comprises the following steps:

wherein in one possible embodiment, the step may comprise:

Here, in determining the standard load density of the vehicle corresponding to the above-mentioned vehicle type, the specific manner may be as follows:

Furthermore, in the case where the calculation of the material density of the transportation object occurs in the above steps, the embodiment of the present invention provides a manner as follows:

Then, the step of determining the target logistics vehicle information of the transportation object according to the determined standard load density and the determined material density of the vehicle may specifically include:

It should be noted that the above-mentioned target logistics vehicle information includes at least one of the following: vehicle type, cabin size, load capacity, cargo capacity, and number of vehicles.

Based on this, in another possible embodiment, in some possible scenarios (for example, a scenario where the number of the transportation objects is too large, the number of the transportation objects is too large), in the embodiment of the present invention, before determining the target logistics vehicle information of the transportation objects, the material classification may be further performed on the plurality of transportation objects, so that the step may specifically include:

calculating the material density of the transportation objects in each category group;

according to the standard load density and the material density of the vehicle,

(2) Based on the two possible embodiments in the above (1), in addition to the manner of determining the target logistics vehicle information according to the material information, the embodiment of the present invention further provides a method for determining the target logistics vehicle information according to the material information and the basic freight of the vehicle, which specifically includes the following steps:

Step 230, generating a material assembling order based on the target logistics vehicle information and the material information to assemble the transportation object onto the target logistics vehicle according to the material assembling order.

In practice, in addition to the need to adapt to the appropriate target logistics vehicle for the transportation object, it is also necessary to determine

In order to facilitate understanding of the method provided by the embodiment of the invention, based on the system and the method, the vehicle resource management method provided by the embodiment of the invention is exemplified by acquiring the adaptation information of the warehouse-out and warehouse-out material vehicles in the actual operation of warehouse logistics dispatcher.

Fig. 3 is a flowchart of a vehicle resource management method based on a vehicle resource management system according to an embodiment of the present invention.

As shown in fig. 3, the method is applied to a vehicle resource management system, wherein the method may include steps 301-309, as follows:

step 301, the ex-warehouse dispatching module receives the transportation object to be ex-warehouse determined by the warehouse logistics dispatcher, and generates a transportation object list to be ex-warehouse according to the transportation object.

Step 302, obtaining the material logistics characteristic information of the transportation object according to the transportation object list.

The vehicle adaptation algorithm module requests the logistics characteristic information module to acquire the logistics characteristic information of the transportation objects in the list according to the transportation object list sent by the receiving and delivering scheduling module;

And the logistics characteristic information module returns the logistics characteristic information of the materials corresponding to the transportation objects according to the requested transportation object list.

Wherein the material flow characteristic information may include at least one of: logistics charging mode, transportation classification, pressure-bearing condition, packaging condition, safety condition and transportation condition.

Step 303, according to the transportation object list, the physical property information of the materials of the transportation object is obtained.

The vehicle adaptation algorithm module requests the physical characteristic information module to acquire the physical characteristic information of the materials of the transportation objects in the list according to the requested transportation object list;

and the physical characteristic information module returns the physical characteristic information of the materials of the corresponding transportation objects according to the requested transportation object list.

Wherein the physical property information of the material includes at least one of: material bar code, material name, vendor, subject of interest, stock type, item of interest, material lot, number of packages, package length, package width, package height, weight, stacking conditions (e.g., whether stackable and number of layers stackable).

Here, the material classification may be based on the material physical property information, for example: classifying lighter materials but larger volume as bubble goods, and calculating the cost by using the volume of the bubble goods; the heavy materials, but the light volume are classified as heavy goods, and the weight is used for calculating the cost.

It should be noted that the order of determining the physical property information and the physical property information is not particularly limited in this embodiment.

And step 304, grouping the transportation objects according to the material logistics characteristic information and the material physical characteristic information to obtain an aggregation grouping result.

The vehicle adaptation algorithm module calls the material aggregation grouping module according to the transport object list to be delivered and the material physical characteristic information and the material logistics characteristic information corresponding to each transport object, groups the transport objects, and achieves the differentiated management of the transport objects with different logistics requirements such as common materials, fragility, rain resistance, inflammability, explosiveness, liquid and the like. And after the material aggregation grouping module completes aggregation and grouping of the transport objects, the aggregation grouping result is fed back to the vehicle adaptation algorithm module.

And 305, acquiring current available logistics vehicle information according to the aggregation grouping result, and acquiring the standard loading density of the vehicle.

The vehicle adaptation algorithm module requests the current available logistics vehicle information from the available vehicle information management module according to the material grouping result output by the material aggregation grouping module, and obtains the standard load density of each vehicle type.

Wherein the logistics vehicle information may include at least one of: vehicle type, cabin size, load capacity, cargo capacity, and vehicle standard load density.

Further, the means for obtaining the standard load density of the vehicle includes: vehicle standard load density = vehicle standard maximum load capacity/vehicle standard maximum load capacity.

Here, the definition of the basic data type of the adaptation mathematical model of the vehicle adaptation algorithm module is specifically as follows:

Logistics vehicle base data types: t= { x, y, z, w };

wherein, freight train basic data x, y, z, w type corresponds in proper order: the length, width, height limit and maximum load of the compartment of the vehicle are 4 attributes.

Basic data type of physical property information of materials: m= { dx, dy, dz, dw, df, dt };

wherein, the basic data types of the physical property information dx, dy, dz, dw, df and dt of the materials correspond to each other in sequence: package length, package width, package height, material weight, stackable quantity (e.g., stackable quantity type (0 for stacked quantity unlimited, 1 for non-stackable, 2 and above for stackable layers)), shipping billing type (0 for heavy goods, material weight billing; 1 for blister goods, material volume billing)).

The available vehicle information management module feeds back the current available logistics vehicle information of each group of transportation objects to the vehicle adaptation algorithm module according to the grouped material logistics characteristic information and the material physical characteristic information of the transportation objects in each group.

And 306, determining the material density according to the aggregation grouping result, and estimating the number of vehicles according to the material density and the standard loading density of the vehicles.

The vehicle adaptation algorithm module calculates the material density of each group of transportation objects according to the aggregation grouping result, optimizes the vehicles according to the standard load density of the vehicles of the group of transportation objects by a vehicle model optimizing method, obtains the vehicle adaptation result, and estimates the number of vehicles required when the type of vehicles are used.

Wherein, the manner of determining the material density may include: material density = all transport object weight/all transport object volume.

The vehicle adaptation algorithm of the vehicle adaptation algorithm module may specifically include:

The goal of the vehicle adaptation algorithm is to make maximum use of the capacity of the vehicle, i.e. the volume of the cargo + the volume of the heavy cargo = the cargo capacity of the vehicle, the weight of the cargo + the weight of the heavy cargo = the load of the vehicle, which may be smaller but not exceeding, the closer the more closely the demand is satisfied.

The formula can be listed:

Ma*A+Mb*B＝Mt

Va*A+Vb*B＝Vt

Knowing Ma, mb, mt, va, vb, vt, the maximum value of the transport objects a and B can be found by rounding.

In practical use, due to the variety of transportation objects, there may be occurrence:

Ma*A+Mb*B+Mc*C+……+Mn*N＝Mt

Va*A+Vb*B+Vc*C+……+Vn*N＝Vt

so that the adaptation result has various results, and for the situation, the adaptation algorithm has to take precedence of several principles:

The transportation objects are preferably grouped according to the transportation characteristic information of the transportation objects, so that the types and the numbers of the transportation objects during the matching of the transportation objects are reduced, and meanwhile, the logistics transportation requirements of different transportation objects are met.

On the basis of grouping according to the transportation characteristics, each group of transportation objects are grouped according to the charging type, namely, the bubble and heavy goods, and the material density is ordered according to the charging type.

The heavy cargo transportation object and the bubble cargo transportation object are combined, the material density of the combination is as close as possible to the standard load density of the vehicle, and the combination is assembled.

It should be noted that the number of vehicles required when using this type of vehicle is that the vehicle adaptation result of each group of transportation objects and the number of vehicles required are submitted to the vehicle loading preference module by the vehicle adaptation algorithm module.

The preferred mode of the vehicle model can be as follows:

After the transportation objects are grouped according to the physical property information of the materials and the physical property information of the materials, calculating the material density of each group, calculating the standard load density of the vehicles of each vehicle, taking a plurality of groups of results with the closest density, evaluating the number of the vehicles which are needed approximately, carrying out preliminary optimization, and selecting a plurality of vehicle types with the highest cost performance.

Step 307, according to the vehicle adaptation result, obtaining the basic freight information of the corresponding vehicle in the vehicle adaptation result.

The vehicle loading optimization module requests the basic freight information management module to acquire basic freight information of the corresponding vehicle according to the vehicle adaptation result of each group of materials submitted by the adaptation algorithm module.

Here, the basic freight information management module feeds back basic freight information of the corresponding vehicle to the vehicle loading preference module.

And 308, determining target logistics vehicle information according to the vehicle adaptation result and the basic freight information.

And the vehicle loading optimization module calculates and obtains the optimal vehicle type of each group of transportation objects according to the vehicle adaptation result of each group, the number of vehicles required when each group of transportation objects select different types of vehicles and the basic freight information of each vehicle type, and the number of vehicles is submitted to the vehicle loading recommendation module.

Step 309, generating and displaying a material assembly sequence based on the target logistics vehicle information and the material information.

Here, the vehicle loading recommendation module obtains final transportation object ex-warehouse recommended vehicle adaptation result information, that is, target logistics vehicle information, through a vehicle loading algorithm, where the target logistics vehicle information may include the number of used vehicles, the type and number of transportation objects loaded per vehicle, loading position information, loading sequence information, and the like of vehicles corresponding to each transportation object. And the result information is fed back to the warehouse logistics scheduling personnel, the loading recommendation of the vehicles of the transportation objects for delivery is completed, the warehouse logistics scheduling personnel conveniently schedule the vehicles according to the recommendation result, and the warehouse operation personnel conveniently load the materials on the vehicles according to the recommendation result.

The algorithm steps for realizing the loading of the vehicle are as follows:

And grouping the loading and transporting objects of each vehicle according to the standard loading density and the material density of the vehicle to obtain a loading and transporting object list of each vehicle.

And according to the transport object list of each vehicle, assembling according to the transport object assembling principle.

Principle of assembly of transport objects:

when the vehicle is assembled, the transportation object assembles the materials according to the principle that the goods are firstly restocked and then soaked, the goods are firstly large and then small, and the goods are firstly arranged at the lower layer and then arranged at the upper layer.

Loading position and assembly sequence algorithm:

Three-dimensional data basic data type is assembled to object commodity circulation vehicle:

SM＝{xyz0,xyz1,x,y,z,w,f,fn}

wherein, the three-dimensional data basic data xyz0, xyz1, x, y, z, w, f and fn types of the material vehicle assembly are as follows in sequence: space starting three-dimensional coordinates, space ending three-dimensional coordinates, packaging height, material weight, number of stackable layers.

On the basis, the space coordinates and the physical property information of the materials assembled by each transportation object are as follows:

assembly coordinates of material S0:

SM＝{[0,0,0],[S0.DX,S0.DY,S0.DZ],S0.DX,S0.DY,S0.DZ,S0.DF,1,1}

assembly coordinates of material S01:

SM＝{[0,0,S0.DZ],[S0.DX,S0.DY,S0.DZ+S01.DZ],S0.DX,S0.DY,S0.DZ+S01.DZ,S0.DF,2,1}

the basic three-dimensional mathematical model of the object logistics vehicle assembly can be built through the construction of the three-dimensional data of the vehicle, the data types of the three-dimensional data of the materials and the basic data types of the three-dimensional data of the loading of the materials.

And according to the material assembly principle, sorting the priority of the loading transportation objects of the target logistics vehicles to obtain a most basic loading sequence table of the transportation objects.

After the loading sequence is finished, loading of the transport object can be finished according to a rectangular and cuboid layout algorithm by referring to the transport object loading sequence table.

In practical application, because of the diversity of the physical property information of each material, the physical property information of the material to be transported and the length and width of the carriage should be calculated and evaluated in detail during the stock layout calculation. Meanwhile, according to different assessment results, when the loading modes of the transportation objects are calculated, the processes of leaving, line changing, rotating, leaving, crossing, mixing and stacking and the like are carried out on the transportation objects in various categories, so that the purpose of utilizing the carriage space to the maximum extent is achieved, and the calculation of the loading modes and the loading positions of the vehicles of the various transportation objects under the complex condition is realized.

In the embodiment of the invention, the final recommended result is to label the two-dimensional code, bar code information and position information of the loading materials of each vehicle in detail according to a space coordinate system, the vehicle and the materials to be loaded can be modeled through a three-dimensional simulation image, the installation step is simulated according to the space coordinate system, and meanwhile, the simulation result is displayed through a large screen, so that installation personnel can conveniently install according to the simulation step; the spatial coordinate information may also be transmitted to the passing industrial robot at a later stage, and the industrial robot performs automatic installation according to the simulation procedure.

In summary, in this embodiment, by collecting physical property information of goods and materials packaged by single goods and objects to be transported by bubble and vehicle information equipped with a vehicle library, adapting the carrying vehicles to be transported by delivery, coordinating the collocation quantity of the goods and the heavy goods carried by each vehicle, finally providing the number and the number of the vehicles required during the transportation of the goods and materials, and providing a list of the objects to be transported of each vehicle, and the method of assembling sequence, reasonable selection of vehicle types and maximum use of vehicle transportation capability are realized, thereby reducing logistics cost.

In addition, by comparing the material density of the grouping target object with the standard loading density of the vehicle, a more suitable vehicle type is selected, and the budget is reduced.

Based on the above vehicle resource management method, the embodiment of the invention further provides a vehicle resource management device, which is specifically described with reference to fig. 4.

Fig. 4 is a schematic structural diagram of a vehicle resource management device according to an embodiment of the present invention.

As shown in fig. 4, the apparatus 40 may include:

an acquiring module 401, configured to acquire material information of a transportation object;

A processing module 402, configured to determine target logistics vehicle information of the transportation object according to the material information;

A generating module 403 for generating a material assembling order based on the target logistics vehicle information and the material information to assemble the transportation object onto the target logistics vehicle according to the material assembling order.

The material information in the embodiment of the invention can comprise: physical property information and physical stream property information.

In one possible embodiment, the processing module 402 may be specifically configured to, when the number of the transportation objects is multiple, classify the materials of the multiple transportation objects according to the material information to obtain at least one class group;

In another possible embodiment, the processing module 402 may be specifically configured to obtain a vehicle type of the plurality of logistics vehicles currently available, and a vehicle standard load density corresponding to the vehicle type;

Based on this, the processing module 402 may be specifically configured to obtain a vehicle standard maximum load and a vehicle standard maximum capacity according to a vehicle type;

And determining the standard load density of the vehicle according to the ratio of the standard maximum load of the vehicle to the standard maximum capacity of the vehicle. Further, according to the material information, determining the material weight of the transported object and the material volume of the transported object; and obtaining the material density according to the ratio of the material weight to the material volume.

The processing module 402 may be specifically configured to obtain, according to a vehicle type, a basic freight corresponding to the vehicle type; and determining target logistics vehicle information of the transportation object according to the standard load density, the material density and the basic freight.

Wherein the target logistics vehicle information comprises at least one of the following: vehicle type, cabin size, load capacity, cargo capacity, and number of vehicles.

In yet another possible embodiment, the processing module 402 may be specifically configured to determine target logistics vehicle information of the transportation object according to the material information and a base freight rate of the vehicle.

In addition, the generating module 403 in the embodiment of the present invention may be specifically configured to process, through a material vehicle assembly model, the target vehicle information and the material information to obtain a plurality of assembly orders; and determining an assembly sequence with priority meeting a preset condition in the plurality of assembly sequences as a material assembly sequence, and displaying the material assembly sequence to a user.

The terminal device 500 includes, but is not limited to: radio frequency unit 501, network module 502, audio output unit 503, input unit 504, sensor 505, display unit 506, user input unit 507, interface unit 508, memory 509, processor 510, and power source 511. It will be appreciated by those skilled in the art that the terminal device structure shown in fig. 5 does not constitute a limitation of the terminal device, and the terminal device may comprise more or less components than shown, or may combine certain components, or may have a different arrangement of components. In the embodiment of the invention, the terminal equipment comprises, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted terminal, a wearable device, a pedometer and the like.

It should be understood that, in the embodiment of the present invention, the radio frequency unit 501 may be used to receive and send information or signals during a call, specifically, receive downlink resources from a base station, and then process the downlink resources with the processor 510; in addition, uplink resources are transmitted to the base station. Typically, the radio frequency unit 501 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 501 may also communicate with networks and other devices through a wireless communication system.

The terminal device provides wireless broadband internet access to the user through the network module 502, such as helping the user to send and receive e-mail, browse web pages, access streaming media, etc.

The audio output unit 503 may convert audio resources received by the radio frequency unit 501 or the network module 502 or stored in the memory 509 into audio signals and output as sound. Also, the audio output unit 503 may also provide audio output (e.g., a call signal reception sound, a message reception sound, etc.) related to a specific function performed by the terminal device 500. The audio output unit 503 includes a speaker, a buzzer, a receiver, and the like.

The input unit 504 is used for receiving an audio or video signal. The input unit 504 may include a graphics processor (Graphics Processing Unit, GPU) 5041 and a microphone 5042, the graphics processor 5041 processing image resources of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 506. The image frames processed by the graphics processor 5041 may be stored in the memory 509 (or other storage medium) or transmitted via the radio frequency unit 501 or the network module 502. Microphone 5042 may receive sound and may be capable of processing such sound as an audio resource. The processed audio resources may be converted in case of a phone call mode into a format output that may be transmitted to the mobile communication base station via the radio frequency unit 501.

The terminal device 500 further comprises at least one sensor 505, such as a light sensor, a motion sensor and other sensors. Specifically, the light sensor includes an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the display panel 5061 according to the brightness of ambient light, and the proximity sensor can turn off the display panel 5061 and/or backlight when the terminal device 500 moves to the ear. As one of the motion sensors, the accelerometer sensor can detect the acceleration in all directions (generally three axes), and can detect the gravity and direction when the accelerometer sensor is stationary, and can be used for recognizing the gesture (such as horizontal and vertical screen switching, related games, magnetometer gesture calibration), vibration recognition related functions (such as pedometer and knocking) and the like of the terminal equipment; the sensor 505 may further include a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, an infrared sensor, etc., which are not described herein.

The display unit 506 is used to display information input by a user or information provided to the user. The display unit 506 may include a display panel 5061, and the display panel 5061 may be configured in the form of a Liquid crystal display (Liquid CRYSTALDISPLAY, LCD), an Organic Light-Emitting Diode (OLED), or the like.

The user input unit 507 is operable to receive input numeric or character information and to generate key signal inputs related to user settings and function control of the terminal device. Specifically, the user input unit 507 includes a touch panel 5071 and other input devices 5072. Touch panel 5071, also referred to as a touch screen, may collect touch operations thereon or thereabout by a user (e.g., operations of the user on touch panel 5071 or thereabout using any suitable object or accessory such as a finger, stylus, etc.). Touch panel 5071 may include two parts, a touch detection device and a touch controller. The touch detection device detects the touch azimuth of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch detection device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 510, and receives and executes commands sent by the processor 510. In addition, the touch panel 5071 may be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. In addition to the touch panel 5071, the user input unit 507 may include other input devices 5072. In particular, other input devices 5072 may include, but are not limited to, physical keyboards, function keys (e.g., volume control keys, switch keys, etc.), trackballs, mice, joysticks, and so forth, which are not described in detail herein.

Further, the touch panel 5071 may be overlaid on the display panel 5061, and when the touch panel 5071 detects a touch operation thereon or thereabout, the touch operation is transmitted to the processor 510 to determine a type of touch event, and then the processor 510 provides a corresponding visual output on the display panel 5061 according to the type of touch event. Although in fig. 5, the touch panel 5071 and the display panel 5061 are two independent components to implement the input and output functions of the terminal device, in some embodiments, the touch panel 5071 and the display panel 5061 may be integrated to implement the input and output functions of the terminal device, which is not limited herein.

The interface unit 508 is an interface for connecting an external device to the terminal apparatus 500. For example, the external devices may include wired or wireless headset ports, external power (or battery charger) ports, wired or wireless resource ports, memory card ports, ports for connecting devices having identification modules, audio input/output (I/O) ports, video I/O ports, earphone ports, and the like. The interface unit 508 may be used to receive input (e.g., resource information, power, etc.) from an external device and transmit the received input to one or more elements within the terminal apparatus 500 or may be used to transmit resources between the terminal apparatus 500 and an external device.

The memory 509 may be used to store software programs as well as various resources. The memory 509 may mainly include a storage program area and a storage resource area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage resource area may store resources (such as audio resources, phonebooks, etc.) created according to the use of the handset, etc. In addition, the memory 509 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.

The processor 510 is a control center of the terminal device, connects various parts of the entire terminal device using various interfaces and lines, and performs various functions and processing resources of the terminal device by running or executing software programs and/or modules stored in the memory 509, and invoking resources stored in the memory 509, thereby performing overall monitoring of the terminal device. Processor 510 may include one or more processing units; preferably, the processor 510 may integrate an application processor that primarily handles operating systems, user interfaces, applications, etc., with a modem processor that primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 510.

The terminal device 500 may further include a power source 511 (such as a battery) for supplying power to the respective components, and preferably, the power source 511 may be logically connected to the processor 510 through a power management system, so as to perform functions of managing charging, discharging, power consumption management, etc. through the power management system.

In addition, the terminal device 500 includes some functional modules, which are not shown, and will not be described herein.

The embodiment of the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed in a computer, causes the computer to perform the steps of the vehicle resource management method of the embodiment of the present invention.

It should be noted that, in this document, 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. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method of the embodiments of the present invention.

The embodiments of the present invention have been described above with reference to the accompanying drawings, but the present invention is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present invention and the scope of the claims, which are to be protected by the present invention.

Claims

1. A vehicle resource management method, characterized by comprising:

Acquiring material information of a transport object;

Determining target logistics vehicle information of the transportation object according to the material information;

Generating a material assembling order based on the target logistics vehicle information and the material information to assemble the transportation object onto the target logistics vehicle according to the material assembling order;

the determining the target logistics vehicle information of the transportation object according to the material information comprises the following steps:

acquiring the types of vehicles of a plurality of logistics vehicles which are currently available and the standard load density of the vehicles corresponding to the types of the vehicles;

Determining a vehicle adaptation result according to the vehicle standard load density and the material density by a vehicle model optimization method; the vehicle model optimization method comprises the following steps: after the transportation objects finish grouping according to the material logistics characteristic information and the material physical characteristic information in the material information, calculating the material density of each group, selecting at least one group of results with the closest density according to the standard load density of vehicles of each type of vehicle, and respectively evaluating the number of the vehicles required for preliminary optimization, wherein the number of the vehicles is at least one type of vehicle with the highest deterministic price ratio;

According to the basic freight information of the corresponding vehicle in the vehicle adaptation result and the vehicle adaptation result, determining the target logistics vehicle information based on a vehicle adaptation algorithm and a vehicle loading algorithm;

The vehicle adaptation algorithm includes: the transport objects are preferably grouped according to the transport characteristic information of the transport objects, each group of transport objects are then grouped according to the charging type, and the material density is ordered according to the charging type;

the generating a material assembly order based on the target logistics vehicle information and the material information includes:

processing the target logistics vehicle information and the material information through a material vehicle assembly model to obtain a plurality of assembly sequences;

determining an assembly sequence with priority meeting a preset condition in the plurality of assembly sequences as a material assembly sequence, and displaying the material assembly sequence to a user;

the displaying the material assembly sequence to the user comprises: modeling the target logistics vehicle and the transportation object through a three-dimensional simulation image, and simulating the installation step of assembling the transportation object on the target logistics vehicle according to a space coordinate system; the modeling displayed by the transportation object comprises labeling of two-dimensional codes, bar code information or position information according to a space coordinate system.

2. The method of claim 1, wherein the asset information comprises asset physical property information and asset stream property information;

The material flow characteristic information includes at least one of: logistics charging mode, transportation classification, pressure-bearing condition, packaging condition, safety condition and transportation condition.

3. The method according to claim 1 or 2, wherein the determining target logistics vehicle information of the transportation object based on the material information comprises:

when the number of the transportation objects is multiple, classifying the materials of the transportation objects according to the material information to obtain at least one class group;

4. The method of claim 1, wherein determining a standard load density of the vehicle for the vehicle type comprises:

according to the vehicle type, obtaining a standard maximum load of the vehicle and a standard maximum capacity of the vehicle;

5. The method of claim 1 or 4, wherein calculating the asset density of the transportation object from the asset information comprises:

determining the material weight of the transportation object and the material volume of the transportation object according to the material information;

6. The method of claim 1, wherein determining target logistics vehicle information for the transportation object based on the material information comprises:

And determining target logistics vehicle information of the transportation object according to the standard load density of the vehicle, the material density and the basic freight.

7. The method of claim 1, wherein the target stream vehicle information comprises at least one of: vehicle type, cabin size, load capacity, cargo capacity, and number of vehicles.

8. A vehicle resource management device, characterized by comprising:

A generation module configured to generate a material assembly order based on the target logistics vehicle information and the material information, so as to assemble the transportation object onto the target logistics vehicle according to the material assembly order;

9. A terminal device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, which computer program, when executed by the processor, implements the vehicle resource management method according to any one of claims 1-7.

10. A computer-readable storage medium, having stored thereon a computer program which, if executed in a computer, causes the computer to perform the vehicle resource management method according to any one of claims 1 to 7.