CN112612975B - Method, device, equipment and storage medium for identifying type of commonly-transported goods of vehicle - Google Patents

Method, device, equipment and storage medium for identifying type of commonly-transported goods of vehicle Download PDF

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CN112612975B
CN112612975B CN202011617880.9A CN202011617880A CN112612975B CN 112612975 B CN112612975 B CN 112612975B CN 202011617880 A CN202011617880 A CN 202011617880A CN 112612975 B CN112612975 B CN 112612975B
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electronic fence
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CN112612975A (en
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赵岩
张志恒
孙智彬
张志平
江天
夏曙东
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Beijing Youhang Information Technology Co ltd
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Abstract

The invention discloses a method, a device, equipment and a storage medium for identifying the type of a commonly transported cargo of a vehicle, wherein the method comprises the following steps: constructing a POI and cargo type mapping table and a POI and electronic fence mapping table; if the current stop point is located in the electronic fence, determining a label of the stop point according to POI information and weight information corresponding to the electronic fence, wherein the label comprises cargo type information and weight information; if the current stop point is positioned outside the electronic fence, determining a label of the stop point according to POI information and weight information in a preset range of the stop point; and calculating the weight of the type of the goods transported by the vehicle according to the labels of the plurality of stop points, and taking the type of the goods with the maximum weight value as the type of the goods transported frequently. According to the method for identifying the types of the commonly-shipped goods, different weights are given to POI with different distances, and the accuracy rate of identifying the types of the goods is greatly improved.

Description

Method, device, equipment and storage medium for identifying types of commonly transported goods of vehicles
Technical Field
The invention relates to the technical field of vehicle networking, in particular to a method, a device, equipment and a storage medium for identifying the type of a frequently transported cargo of a vehicle.
Background
With the rapid development of the logistics industry, the types of the commonly transported goods of the target vehicle are accurately analyzed, and data basis can be provided for vehicle and goods matching, so that the vehicle and goods matching efficiency and the traffic rate are greatly improved.
In the prior art, two weight calculation methods are generally adopted for judging commonly transported goods based on POI (Point of Interest), the first method is to select the goods type corresponding to the POI nearest to a stop Point to participate in statistics, and because the POI nearest to the stop Point is not necessarily a real stop Point in an actual freight scene, the method can cause report omission and false report. The other method is to select the cargo types corresponding to all POI in a certain range near the stop point to participate in statistics, and although the method does not generate report omission, the POI in a close distance and the POI in a far distance are looked for, the same weight is given, and finally the statistics frequency is distorted. Therefore, the identification accuracy of the common freight object identification method in the prior art is low.
Disclosure of Invention
The embodiment of the disclosure provides a method, a device, equipment and a storage medium for identifying the type of commonly transported goods of a vehicle. The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview and is intended to neither identify key/critical elements nor delineate the scope of such embodiments. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.
In a first aspect, the disclosed embodiment provides a method for identifying a type of a vehicle frequent transportation cargo, including:
constructing a POI and goods type mapping table and a POI and electronic fence mapping table;
if the current stop point is located in the electronic fence, determining a label of the stop point according to POI information and weight information corresponding to the electronic fence, wherein the label comprises cargo type information and weight information;
if the current stop point is located outside the electronic fence, determining a label of the stop point according to POI information and weight information in a preset range of the stop point;
and calculating the weight of the type of the goods transported by the vehicle according to the labels of the plurality of stop points, and taking the type of the goods with the maximum weight value as the type of the goods transported frequently.
In one embodiment, constructing a POI to fence mapping table comprises:
determining a historical stopping point set of the vehicle according to the historical track data of the vehicle;
clustering the historical docking point set to obtain a gathering docking area;
dividing the electronic fence according to the gathering parking area;
and carrying out spatial association on the electronic fence and the POI to obtain a mapping table of the POI and the electronic fence.
In one embodiment, if the current stop point is located in the electronic fence, determining the tag of the stop point according to the POI information and the weight information corresponding to the electronic fence includes:
if the current stop point is located in the electronic fence, POI information of the current stop point is obtained according to a POI and electronic fence mapping table, and cargo type information of the current stop point is obtained according to the POI and cargo type mapping table;
and if the current stop point is located in the electronic fence, the weight of the cargo type corresponding to the current stop point is 1.
In one embodiment, if the current stop point is located outside the electronic fence, determining a tag of the stop point according to the POI information and the weight information within the preset range of the stop point, including:
if the current stop point is positioned outside the electronic fence, a POI list in a preset range of the stop point is obtained, wherein the list records the distance information between each POI and the stop point and the cargo type information corresponding to each POI;
and calculating the weight information of the cargo type corresponding to each POI according to the distance information between each POI and the stop point.
In one embodiment, after obtaining the POI list within the preset range of the stop point, the method further includes:
constructing a mapping table of vehicle types and blacklisted cargo types;
determining the blacklist cargo type of the current vehicle according to the vehicle type information of the current transport vehicle;
and deleting the POI corresponding to the blacklisted cargo type of the current vehicle in the POI list.
In one embodiment, calculating a weight for a vehicle transporting a cargo type based on tags for a plurality of waypoints comprises:
Figure BDA0002873037030000021
wherein f is t Represents the sum of the weights of t types of goods transported by the vehicle to be detected,
Figure BDA0002873037030000022
the weight of the type goods at the ith stop point t is shown, and m is the number of the stop points.
In a second aspect, an embodiment of the present disclosure provides an apparatus for identifying a type of a commonly-shipped cargo in a vehicle, including:
the building module is used for building a POI and goods type mapping table and a POI and electronic fence mapping table;
the first calculation module is used for determining a label of the stop point according to POI information and weight information corresponding to the electronic fence if the current stop point is located in the electronic fence, wherein the label comprises cargo type information and weight information;
the second calculation module is used for determining a label of the stop point according to POI information and weight information in a preset range of the stop point if the current stop point is positioned outside the electronic fence;
and the identification module is used for calculating the weight of the type of the goods transported by the vehicle according to the labels of the plurality of stop points and taking the type of the goods with the largest weight value as the type of the goods transported frequently.
In one embodiment, the building block comprises:
the POI and electronic fence mapping table building unit is used for determining a historical stopping point set of the vehicle according to historical track data of the vehicle;
clustering the historical docking point set to obtain a clustered docking area;
dividing the electronic fence according to the gathering parking area;
and carrying out spatial association on the electronic fence and the POI to obtain a mapping table of the POI and the electronic fence.
In a third aspect, the disclosed embodiment provides a device for identifying a type of vehicle frequent transportation goods, which includes a processor and a memory storing program instructions, wherein the processor is configured to execute the method for identifying a type of vehicle frequent transportation goods provided by the above embodiment when executing the program instructions.
In a fourth aspect, the disclosed embodiments provide a computer-readable medium, on which computer-readable instructions are stored, where the computer-readable instructions are executable by a processor to implement a method for identifying a type of a vehicle freighter cargo provided in the above embodiments.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
the method for identifying the type of the commonly transported goods of the vehicle comprises the steps of firstly constructing a mapping table of POI and goods type, constructing a mapping table of the POI and an electronic fence, then analyzing a stop point of the vehicle according to track data of the vehicle, determining the type of the transported goods of the vehicle at the stop point and weight information of the goods type according to the position relation between the stop point of the vehicle and the electronic fence, obtaining the type of the transported goods corresponding to the stop point and preset weight information according to the pre-constructed mapping table when the vehicle is positioned in the electronic fence, obtaining POI information in a preset range of the stop point when the stop point is positioned outside the electronic fence, obtaining a plurality of types of the transported goods corresponding to the stop point according to the mapping table of the POI and the goods type, setting a weight calculation formula according to the distance relation between each POI and the stop point, accordingly realizing that the POI with different distances correspond to different weights, and finally taking the weight of all the stop points and the largest goods type as the commonly transported goods type, combining the electronic fence with neighbor search, and greatly improving the identification accuracy of the commonly transported goods type.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
FIG. 1 is a flow diagram illustrating a method for identifying a type of commonly transported items in a vehicle in accordance with an exemplary embodiment;
FIG. 2 is a schematic flow diagram illustrating a method for identifying a type of commonly shipped items for a vehicle in accordance with an exemplary embodiment;
FIG. 3 is a schematic diagram illustrating a POI to goods type mapping table in accordance with one illustrative embodiment;
FIG. 4 is a schematic diagram illustrating a vehicle freighter type identification device in accordance with an exemplary embodiment;
FIG. 5 is a schematic diagram illustrating a configuration of a vehicle freighter type identification device in accordance with an exemplary embodiment;
FIG. 6 is a schematic diagram illustrating a computer storage medium in accordance with an exemplary embodiment.
Detailed Description
The following description and the drawings sufficiently illustrate specific embodiments of the invention to enable those skilled in the art to practice them.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of systems and methods consistent with certain aspects of the invention, as detailed in the appended claims.
In the description of the present invention, it is to be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The specific meanings of the above terms in the present invention can be understood in a specific case to those of ordinary skill in the art. In addition, in the description of the present invention, "a plurality" means two or more unless otherwise specified. "and/or" describes the association relationship of the associated object, indicating that there may be three relationships, for example, a and/or B, which may indicate: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
The method for identifying the type of the vehicle frequent transportation object provided by the embodiment of the present application will be described in detail below with reference to fig. 1 to 3, where fig. 1 is a schematic flow chart illustrating a method for identifying the type of the vehicle frequent transportation object according to an exemplary embodiment, and as shown in fig. 1, the method specifically includes the following steps:
s101, a POI and goods type mapping table and a POI and electronic fence mapping table are constructed.
Generally, in an electronic map, a landmark geographic position on the map is labeled, that is, a POI point on the map is labeled, for example, a gas station, a logistics park, a service area, and the like on the map. In the field of logistics transportation, a stop point where loading and unloading are easy to occur can be obtained according to a marked POI point, for example, if the POI point is a place such as a logistics park, an industrial mine, and the like, loading and unloading are easy to occur, and further, a cargo type can be obtained according to the POI point.
The embodiment of the disclosure first constructs a mapping table of a POI and a goods type, and a corresponding goods type can be obtained according to POI information, and fig. 3 is a schematic diagram of a mapping table of a POI and a goods type shown according to an exemplary embodiment, and as shown in fig. 3, if the POI is a wholesale market of agricultural products, the goods type corresponding to the POI is an agricultural product. If the POI is a pharmaceutical logistics park, the type of goods corresponding to the POI is a pharmaceutical, if the POI is a cold-chain logistics park, the type of goods corresponding to the POI is a fresh product, if the POI is a chemical plant, the type of goods corresponding to the POI is a hazardous chemical, if the POI is a steel logistics park, the type of goods corresponding to the POI is steel, if the POI is a cigarette distribution center, the type of goods corresponding to the POI is tobacco.
Furthermore, a person skilled in the art can update the mapping table of the POI and the cargo type according to the actual situation, and according to the mapping table, the cargo type information corresponding to the POI can be obtained according to the POI information.
Further, a mapping table of POIs and electronic fences is constructed, wherein an electronic fence refers to a defined geographic range. And acquiring the geographical position information corresponding to the POI information according to the POI information.
Specifically, track data of a vehicle to be identified is first acquired, and GPS track point data of the vehicle can be acquired, where the GPS track point is vehicle position data reported in real time by a GPS (global positioning System) device deployed on the vehicle. Generally, when the GPS device reports in real time, the reporting time interval may be set according to actual conditions, and the time interval is preferably 10S in the present application.
It should be noted that, in the present application, besides the vehicle-mounted GPS device is adopted to report the trajectory data of the vehicle in real time, the Beidou device may also be used to position the trajectory of the vehicle and report the trajectory data.
In a possible implementation manner, after the GPS track points of the vehicle to be identified are acquired, the points with the speed of 0 in the track information are merged according to the time interval threshold and the offset threshold, for example, multiple stop points within 10 minutes are merged, and multiple stop points with a short distance are merged to obtain a stop point represented by the centroid. And then calculating the docking time, filtering the docking point set according to the time length, screening out the docking points which are greater than a preset docking threshold value, and obtaining the docking point set.
Further, clustering the historical stop point set, finding a gathering stop area by using the stop point clustering, selecting the gathering stop area related to logistics, such as a park, an industrial and mining area, and the like, and then delineating the gathering stop area related to the logistics to obtain a plurality of divided electronic fences, wherein the electronic fences are minimum polygons including all stop points of the gathering stop area and are minimum geographical boundaries corresponding to POIs of the gathering stop area. For example, a POI of a certain aggregated parking area is a wholesale market of agricultural products, a vehicle has a plurality of parking points in the area, a geographic boundary of the wholesale market of the agricultural products is defined by an electronic fence, and the POI corresponding to the parking point is the wholesale market of the agricultural products as long as the vehicle is parked in the electronic fence.
And performing spatial association on the plurality of divided electronic fences and the corresponding POIs to obtain a POI and electronic fence mapping table, and when a stop point of the vehicle falls into a certain electronic fence, obtaining the POI corresponding to the stop point.
S102, if the current stop point is located in the electronic fence, determining a label of the stop point according to POI information and weight information corresponding to the electronic fence, wherein the label comprises cargo type information and weight information.
Further, according to the position relation between the stop point of the target vehicle and the electronic fence, different methods are adopted to determine the label of the stop point, wherein the label of the stop point comprises the type information of the transported goods corresponding to the stop point and the weight information corresponding to the type of the goods.
When the stop point of the vehicle is located in the electronic fence, POI information corresponding to the stop point can be obtained according to the POI and the electronic fence mapping table, then the POI and the goods type mapping table are inquired according to the obtained POI information, goods type information corresponding to the POI is obtained, and the goods type information corresponding to the stop point can be obtained.
In one possible implementation, as long as a stop point of a vehicle falls within the electronic fence, the weight of the cargo type corresponding to the stop point is 1.
According to the steps, the label of the current stop point can be obtained: weight =1, item = POI corresponds to item.
S103, if the current stop point is located outside the electronic fence, determining the label of the stop point according to POI information and weight information in a preset range of the stop point.
When the stop point of the vehicle is positioned outside the electronic fence, the POI information in the preset range of the goods stop point is calculated according to the distance information of different POIs and the stop point, the weight of goods of different POIs is related to the distance of the POIs, and the identification accuracy can be greatly improved.
In a possible implementation manner, when a stop point of a vehicle is located outside an electronic fence, all POI information within 1 kilometer is acquired to form a POI list, wherein the list records distance information between each POI and the stop point and cargo type information corresponding to each POI.
Further, a vehicle type and blacklist cargo type mapping table is constructed, a blacklist corresponding to goods is established for the vehicle type of the freight vehicle, for example, if the flat car cannot transport goods such as coal, muck and the like, then blacklist goods of the flat car are coal and muck. The person skilled in the art can update the mapping table of the vehicle type and the blacklisted cargo type according to the actual situation.
Then, vehicle type information of the current vehicle is obtained, the blacklist cargo type of the current vehicle is determined according to the vehicle type information of the current transport vehicle, the POI corresponding to the blacklist cargo type is obtained according to the determined blacklist cargo type, and the POI corresponding to the blacklist cargo type of the current vehicle in the POI list is deleted. According to the steps, POI which obviously do not meet the requirements can be removed, and the complexity of calculation is reduced.
Further, distance exponential decay weighting is adopted, and the weight of the cargo type corresponding to each POI is calculated according to the distance information between each POI and the stop point.
Figure BDA0002873037030000071
Wherein, w t Weight of goods of type t, w i Is the weight of the t-type goods at the ith POI, and k is the number of POIs under the t-type goods. w is a i The calculation method is as follows:
Figure BDA0002873037030000081
wherein e is a natural index, x i And N is the number of POIs in a preset range of the stop point.
According to the step, the label information of the stop point outside the electronic fence can be calculated.
S104, calculating the weight of the type of the goods transported by the vehicle according to the labels of the plurality of stop points, and taking the type of the goods with the largest weight value as the type of the goods transported frequently.
Specifically, the marked stop points are grouped according to the vehicle ID, all stop point labels of the current vehicle to be detected are obtained, and the weight of each cargo type is calculated respectively.
In one embodiment, calculating a weight for a vehicle transporting a cargo type based on tags for a plurality of waypoints comprises:
Figure BDA0002873037030000082
wherein, f t Represents the sum of the weights of t-type goods transported by the vehicle to be detected,
Figure BDA0002873037030000083
the weight of the type goods at the ith stop point t is shown, and m represents the number of the stop points.
And after the weight sum of each type of goods is obtained, the goods type with the largest weight sum is taken as the type of the commonly transported goods.
In an exemplary scenario, a certain vehicle stops 1 time at a point a, a point a is in an electronic fence of a certain food factory, a point B stops 2 times, a building material city is located at 30 meters of the point B, a fresh market is located at 100 meters of the point B, POIs and goods mapping tables are searched for in the food factory, the building material city and the fresh market respectively, the weight of the goods of the point a as food is calculated to be 1,B, the weight of the goods as building material is calculated to be 2 x 0.6, the weight of the goods as food is calculated to be 2 x 0.4, the weight of the goods transported by the vehicle as food is calculated to be 1.8, the weight of the building materials transported is calculated to be 1.2, and therefore the type of the common goods is food.
In order to facilitate understanding of the method for identifying the type of the vehicle frequent transportation object provided by the embodiment of the present application, the following description is made with reference to fig. 2. As shown in fig. 2, the method includes:
firstly, a data dictionary is built, and the data dictionary comprises a POI and electronic fence mapping table, a POI and goods type mapping table and a vehicle type and goods type blacklist.
The corresponding goods type can be obtained according to the POI information, for example, if the POI is a wholesale market of agricultural products, the goods type corresponding to the POI is an agricultural product, and if the POI is a pharmaceutical logistics garden, the goods type corresponding to the POI is a pharmaceutical product. The person skilled in the art can update the mapping table of the POI and the cargo type according to the actual situation, and according to the mapping table, the cargo type information corresponding to the POI information can be obtained according to the POI information.
Further, a mapping table of the POI and the electronic fence is established, the plurality of divided electronic fences are spatially associated with the corresponding POI to obtain the mapping table of the POI and the electronic fence, and when a stop point of a vehicle falls into a certain electronic fence, the POI corresponding to the stop point can be obtained.
Further, a vehicle type and blacklist cargo type mapping table is constructed, and a blacklist of corresponding goods is established for the vehicle type of the freight vehicle, for example, if the flat car cannot transport the goods such as coal, muck and the like, then the blacklist goods of the flat car are the coal and the muck. The person skilled in the art can update the mapping table of the vehicle type and the blacklisted cargo type according to the actual situation.
And then determining label information of the stop point, wherein the label of the stop point comprises the type information of the transported goods corresponding to the stop point and the weight information corresponding to the type of the goods. If the current stop point is located in the electronic fence, POI information of the current stop point is obtained according to a POI and electronic fence mapping table, and cargo type information of the current stop point is obtained according to the POI and cargo type mapping table; and if the current stop point is located in the electronic fence, the weight of the cargo type corresponding to the current stop point is 1.
If the current stop point is positioned outside the electronic fence, a POI list in a preset range of the stop point is obtained, wherein the list records the distance information between each POI and the stop point and the cargo type information corresponding to each POI; and calculating the weight information of the cargo type corresponding to each POI according to the distance information between each POI and the stop point.
And finally, calculating the weight of the type of the goods transported by the vehicle according to the labels of the plurality of stop points, and taking the type of the goods with the maximum weight value as the type of the goods transported frequently.
According to the identification method for the types of the commonly transported goods of the vehicle, different weights are given to POI with different distances, and the accuracy rate of goods type identification is greatly improved.
The disclosed embodiment further provides an apparatus for identifying a type of a vehicle frequent transportation object, which is used for executing the method for identifying a type of a vehicle frequent transportation object of the above embodiment, as shown in fig. 4, the apparatus includes:
the building module 401 is used for building a POI and cargo type mapping table and a POI and electronic fence mapping table;
the first calculating module 402 is configured to determine, if the current stop point is located in the electronic fence, a tag of the stop point according to POI information and weight information corresponding to the electronic fence, where the tag includes cargo type information and weight information;
the second calculating module 403 is configured to determine, if the current stop point is located outside the electronic fence, a tag of the stop point according to POI information and weight information within a preset range of the stop point;
and the identifying module 404 is configured to calculate a weight of the type of the cargo transported by the vehicle according to the tags of the multiple stop points, and use the cargo type with the largest weight value as the type of the frequently transported cargo.
In one embodiment, build module 401 includes:
the POI and electronic fence mapping table building unit is used for determining a historical stopping point set of the vehicle according to historical track data of the vehicle;
clustering the historical docking point set to obtain a gathering docking area;
dividing the electronic fence according to the gathering parking area;
and carrying out spatial association on the electronic fence and the POI to obtain a mapping table of the POI and the electronic fence.
It should be noted that, when the identification device for the type of the vehicle frequent transportation object provided in the above embodiment executes the identification method for the type of the vehicle frequent transportation object, only the division of the above functional modules is taken as an example, in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions. In addition, the device for identifying the types of the commonly transported goods of the vehicle provided by the embodiment and the method for identifying the types of the commonly transported goods of the vehicle belong to the same concept, and details of the implementation process are shown in the method embodiment and are not described herein again.
The embodiment of the disclosure further provides an electronic device corresponding to the method for identifying the type of the vehicle frequent transportation object provided by the foregoing embodiment, so as to execute the method for identifying the type of the vehicle frequent transportation object.
Please refer to fig. 5, which illustrates a schematic diagram of an electronic device according to some embodiments of the present application. As shown in fig. 5, the electronic apparatus includes: the processor 500, the memory 501, the bus 502 and the communication interface 503, wherein the processor 500, the communication interface 503 and the memory 501 are connected through the bus 502; the memory 501 stores a computer program operable on the processor 500, and the processor 500 executes the computer program to perform the method for identifying the type of the vehicle frequent transportation object provided by any of the embodiments described above.
The Memory 501 may include a Random Access Memory (RAM) and a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 503 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like can be used.
Bus 502 can be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. The memory 501 is used for storing a program, and the processor 500 executes the program after receiving an execution instruction, and the method for identifying the type of the vehicle frequent transportation object disclosed by any of the embodiments of the present application may be applied to the processor 500, or implemented by the processor 500.
The processor 500 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 500. The Processor 500 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 501, and the processor 500 reads the information in the memory 501, and completes the steps of the method in combination with the hardware thereof.
The electronic equipment provided by the embodiment of the application and the method for identifying the type of the vehicle commonly-transported goods provided by the embodiment of the application have the same beneficial effects as the method adopted, operated or realized by the electronic equipment.
Referring to fig. 6, the computer readable storage medium is an optical disc 600, on which a computer program (i.e., a program product) is stored, and when the computer program is executed by a processor, the computer program performs the method for identifying the type of the vehicle regular transportation object provided in any of the foregoing embodiments.
It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, a phase change memory (PRAM), a Static Random Access Memory (SRAM), a Dynamic Random Access Memory (DRAM), other types of Random Access Memories (RAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a flash memory, or other optical and magnetic storage media, which are not described in detail herein.
The computer-readable storage medium provided by the above-mentioned embodiment of the present application and the method for identifying the type of the vehicle frequent transportation cargo provided by the embodiment of the present application have the same beneficial effects as the method adopted, operated or implemented by the application program stored in the computer-readable storage medium.
All possible combinations of the technical features in the above embodiments may not be described for the sake of brevity, but should be considered as being within the scope of the present disclosure as long as there is no contradiction between the combinations of the technical features.
The above examples only show some embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that various changes and modifications can be made by those skilled in the art without departing from the spirit of the invention, and these changes and modifications are all within the scope of the invention. Therefore, the protection scope of the present patent should be subject to the appended claims.

Claims (8)

1. A method for identifying the type of commonly transported goods of a vehicle is characterized by comprising the following steps:
constructing a POI and goods type mapping table and a POI and electronic fence mapping table;
if the current stop point is located in the electronic fence, determining a label of the stop point according to POI information and weight information corresponding to the electronic fence, wherein the label comprises cargo type information and weight information;
if the current stop point is located outside the electronic fence, determining the label of the stop point according to the POI information and the weight information in the preset range of the stop point, wherein the method comprises the following steps:
if the current stop point is positioned outside the electronic fence, acquiring a POI list in a preset range of the stop point, wherein the list records distance information between each POI and the stop point and cargo type information corresponding to each POI; calculating weight information of the cargo type corresponding to each POI according to the distance information between each POI and the stop point;
after the POI list within the preset range of the stop point is obtained, the method further comprises the following steps:
constructing a vehicle type and blacklist cargo type mapping table; determining the blacklist cargo type of the current vehicle according to the vehicle type information of the current transport vehicle; deleting POI corresponding to the blacklist cargo type of the current vehicle in the POI list;
and calculating the weight of the type of the goods transported by the vehicle according to the labels of the plurality of stop points, and taking the type of the goods with the maximum weight value as the type of the goods transported frequently.
2. The method of claim 1, wherein constructing a POI to fence mapping table comprises:
determining a historical stop point set of the vehicle according to historical track data of the vehicle;
clustering the historical docking point set to obtain a clustered docking area;
dividing the electronic fence according to the gathering parking area;
and carrying out spatial association on the electronic fence and the POI to obtain a mapping table of the POI and the electronic fence.
3. The method of claim 1, wherein if the current stop point is located in an electronic fence, determining the tag of the stop point according to the POI information and the weight information corresponding to the electronic fence comprises:
if the current stop point is positioned in the electronic fence, POI information of the current stop point is obtained according to the POI and electronic fence mapping table, and cargo type information of the current stop point is obtained according to the POI and cargo type mapping table;
and if the current stop point is located in the electronic fence, the weight of the cargo type corresponding to the current stop point is 1.
4. The method of claim 1, wherein calculating a weight for a type of cargo transported by the vehicle based on the tags for the plurality of waypoints comprises:
Figure FDA0003980524760000021
wherein f is t Represents the sum of the weights of t-type goods transported by the vehicle to be detected,
Figure FDA0003980524760000022
the weight of the type goods at the ith stop point t is shown, and m is the number of the stop points.
5. An apparatus for identifying a type of commonly transported cargo in a vehicle, comprising:
the building module is used for building a POI and cargo type mapping table and a POI and electronic fence mapping table;
the first calculation module is used for determining a label of the stop point according to POI information and weight information corresponding to the electronic fence if the current stop point is located in the electronic fence, wherein the label comprises cargo type information and weight information;
the second calculation module is used for determining the label of the stop point according to the POI information and the weight information in the preset range of the stop point if the current stop point is positioned outside the electronic fence, and the second calculation module comprises the following steps:
if the current stop point is located outside the electronic fence, acquiring a POI list in a preset range of the stop point, wherein the list records distance information between each POI and the stop point and cargo type information corresponding to each POI; calculating weight information of the cargo type corresponding to each POI according to the distance information between each POI and the stop point;
after the POI list within the preset range of the stop point is obtained, the method further comprises:
constructing a vehicle type and blacklist cargo type mapping table; determining the blacklist cargo type of the current vehicle according to the vehicle type information of the current transport vehicle; deleting POI corresponding to blacklist cargo type of the current vehicle in the POI list;
and the identification module is used for calculating the weight of the type of the goods transported by the vehicle according to the labels of the plurality of stop points and taking the type of the goods with the maximum weight value as the type of the goods transported frequently.
6. The apparatus of claim 5, wherein the building block comprises:
the POI and electronic fence mapping table building unit is used for determining a historical stopping point set of the vehicle according to historical track data of the vehicle;
clustering the historical docking point set to obtain a clustered docking area;
dividing the electronic fence according to the gathering parking area;
and carrying out spatial association on the electronic fence and the POI to obtain a mapping table of the POI and the electronic fence.
7. An apparatus for identifying a type of vehicle freighter, comprising a processor and a memory storing program instructions, the processor being configured to perform the method for identifying a type of vehicle freighter according to any one of claims 1 to 4 when executing the program instructions.
8. A computer readable medium having computer readable instructions stored thereon which are executable by a processor to implement a method of identifying a type of vehicle freighter as claimed in any one of claims 1 to 4.
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