Vehicle fuel quantity determination method, device and equipment and storage medium

Abstract

The invention relates to a vehicle fuel quantity determination method and device, equipment and a storage medium. According to the main technical scheme, the method comprises the steps of obtaining vehicle working condition space information obtained by monitoring each vehicle through a remote monitoring platform, constructing a mapsheet corresponding to a driving track of each vehicle according to position space information, generating a vehicle track gravity center distribution map according to a preset area grade and the mapsheet corresponding to the driving track of each vehicle, and displaying the vehicle track gravity center distribution map. Based on the vehicle track gravity center distribution diagram, the average fuel quantity of the vehicles of the same type in all the vehicles in the preset area is determined according to the working condition fuel information, the advantages of GIS software applied to a remote monitoring platform are utilized, the position space information and the working condition fuel information are better matched and analyzed, and the utilization rate of data and the accuracy of data analysis are improved.

Description

Technical Field

[0001] The present application relates to the field of vehicle big data technology, and in particular to a method, device, equipment and storage medium for determining vehicle fuel quantity. Background Art

[0002] The National VI Remote Monitoring Platform is a system for monitoring vehicle emissions. All National VI vehicles are connected to the National VI Remote Monitoring Platform to realize real-time data information collection and intelligent online monitoring and management of the vehicles. It can improve the efficiency of pollutant emission detection of automobile companies, save communication traffic charges, improve the quality of vehicle after-sales service, and provide vehicle quality data accumulation for vehicle manufacturers.

[0003] The data obtained by the National VI remote monitoring platform when monitoring vehicles includes not only the actual operating condition data of the vehicles, but also the positioning information of the Global Positioning System (GPS). In order to improve the utilization rate of data and the accuracy of data analysis, the geographic information system (GIS) can be applied to the National VI remote monitoring platform to calculate the fuel consumption of a company's vehicles. Summary of the invention

[0004] Based on this, the present application provides a vehicle fuel quantity determination method, device, equipment and storage medium to improve data utilization and data analysis accuracy.

[0005] In a first aspect, a method for determining a fuel quantity of a vehicle is provided, the method comprising:

[0006] Acquire vehicle operating condition spatial information obtained by monitoring each vehicle on a remote monitoring platform, wherein the vehicle operating condition spatial information includes position spatial information and operating condition fuel information;

[0007] According to the positional spatial information, a map corresponding to the driving trajectory of each vehicle is constructed;

[0008] According to the preset area level and the map corresponding to the driving track of each vehicle, a vehicle track center of gravity distribution map is generated, wherein each track center of gravity point in the vehicle track center of gravity distribution map corresponds to a vehicle;

[0009] Based on the vehicle trajectory center of gravity distribution map and the operating condition fuel information, the average fuel amount of the same type of vehicles in the preset area is determined.

[0010] According to an achievable method in an embodiment of the present application, a map corresponding to the driving trajectory of each vehicle is constructed according to the position space information, including:

[0011] Taking the zero point of longitude and latitude as the origin, longitude as the horizontal coordinate, and latitude as the vertical coordinate, the earth's surface area is divided into multiple basic map sheets according to the preset reference length;

[0012] Based on the location space information, extract the annual driving trajectory of each vehicle and the longitude and latitude coordinate point set corresponding to the annual driving trajectory;

[0013] A map sheet corresponding to the driving trajectory of each vehicle is constructed according to a plurality of basic map sheets, the driving trajectory of each vehicle throughout the year, and the longitude and latitude coordinate point sets corresponding to the driving trajectory throughout the year.

[0014] According to an achievable method in an embodiment of the present application, a vehicle trajectory center of gravity distribution map is generated according to a preset area level and a map corresponding to the driving trajectory of each vehicle, including:

[0015] Generate a vehicle vector trajectory map according to the map corresponding to the driving trajectory of each vehicle;

[0016] According to the vehicle vector trajectory map, determine the trajectory center of gravity of each vehicle;

[0017] According to the preset area level, the trajectory center point of each vehicle is mapped to the corresponding preset area in the vehicle vector trajectory map to obtain the vehicle trajectory center distribution map.

[0018] According to an achievable method in an embodiment of the present application, the trajectory center of gravity of each vehicle is mapped to a corresponding preset area in the vehicle vector trajectory map according to the preset area level, and a vehicle trajectory center of gravity distribution map is obtained, including:

[0019] Generate a driving trajectory center of gravity layer of each vehicle based on the vehicle vector trajectory map;

[0020] Generate a regional division layer based on the vehicle vector trajectory map according to the preset regional level;

[0021] The driving trajectory center of gravity layer and the area division layer are superimposed to map the trajectory center of gravity point of each vehicle to the corresponding preset area in the vehicle vector trajectory map to obtain the vehicle trajectory center of gravity distribution map.

[0022] According to an achievable method in an embodiment of the present application, based on the vehicle trajectory center of gravity distribution map and according to the operating condition fuel information, the average fuel amount of vehicles of the same type in each vehicle in a preset area is determined, including:

[0023] Based on the vehicle trajectory center of gravity distribution map, determine the number of vehicles of the same type in a preset area;

[0024] According to the number of vehicles of the same type in the preset area and the operating condition fuel information corresponding to the vehicles of the same type in the preset area, the average fuel quantity of the vehicles of the same type in the preset area is determined.

[0025] According to an achievable manner in the embodiment of the present application, the method further includes:

[0026] Obtain announcement information and / or user feedback information of each vehicle;

[0027] According to the announcement information and / or user feedback information, as well as the average fuel quantity of vehicles of the same type among vehicles in a preset area, it is determined whether the average fuel quantity of vehicles of the same type calculated by the remote monitoring platform is accurate.

[0028] According to an achievable manner in the embodiment of the present application, the method further includes:

[0029] Determine a driving area of ​​the target vehicle according to the vehicle trajectory gravity center distribution map, wherein the driving area of ​​the target vehicle includes at least one street;

[0030] Based on the latitude and longitude point cloud map corresponding to the vehicle trajectory center of gravity distribution map, the driving area of ​​the target vehicle is fused in sections to obtain a fuel consumption map of at least one street;

[0031] Based on the fuel consumption map of at least one street, a target area for taking temporary emission restriction measures on target vehicles is determined.

[0032] In a second aspect, a vehicle fuel quantity determination device is provided, the device comprising:

[0033] An acquisition module is used to acquire vehicle operating condition spatial information obtained by the remote monitoring platform monitoring each vehicle, wherein the vehicle operating condition spatial information includes position spatial information and operating condition fuel information;

[0034] A construction module, used to construct a map corresponding to the driving trajectory of each vehicle according to the position space information;

[0035] A generation module is used to generate a vehicle track center of gravity distribution map according to a preset area level and a map corresponding to the driving track of each vehicle, wherein each track center of gravity point in the vehicle track center of gravity distribution map corresponds to a vehicle;

[0036] The determination module is used to determine the average fuel quantity of the same type of vehicles in the preset area based on the vehicle trajectory center of gravity distribution map and the working condition fuel information.

[0037] In a third aspect, a computer device is provided, comprising:

[0038] at least one processor; and

[0039] a memory communicatively connected to the at least one processor; wherein,

[0040] The memory stores computer instructions that can be executed by the at least one processor, and the computer instructions are executed by the at least one processor to enable the at least one processor to perform the method involved in the first aspect above.

[0041] In a fourth aspect, a computer-readable storage medium is provided, on which computer instructions are stored, wherein the computer instructions are used to enable a computer to execute the method involved in the first aspect.

[0042] According to the technical content provided in the embodiments of the present application, the vehicle operating condition spatial information obtained by monitoring each vehicle on a remote monitoring platform is acquired, and a map corresponding to the driving trajectory of each vehicle is constructed according to the position spatial information. According to the preset area level and the map corresponding to the driving trajectory of each vehicle, a vehicle trajectory center of gravity distribution map is generated. Based on the vehicle trajectory center of gravity distribution map and according to the operating condition fuel information, the average fuel amount of the same type of vehicles in each vehicle in the preset area is determined. By utilizing the advantages of the GIS software applied to the remote monitoring platform, the position spatial information and the operating condition fuel information are better matched and analyzed, thereby improving the utilization rate of data and the accuracy of data analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 A diagram of an application environment of a method for determining a vehicle fuel quantity in one embodiment;

[0044] Figure 2 A schematic flow chart of a method for determining a vehicle fuel quantity in one embodiment;

[0045] Figure 3 A fuel consumption diagram of a road section of a certain type of vehicle in one embodiment;

[0046] Figure 4 is a structural block diagram of a vehicle fuel quantity determination device in one embodiment;

[0047] Figure 5 FIG. 4 is a schematic structural diagram of a computer device in one embodiment. DETAILED DESCRIPTION

[0048] The present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0049] For ease of understanding, the system to which this application is applicable is first described. The vehicle fuel quantity determination method provided in this application can be applied to Figure 1In the system architecture shown. Among them, the terminal 110 communicates with the server 120 through the network. The terminal 110 is provided with a remote monitoring platform, which meets the National VI emission standards, and the remote monitoring platform is installed with GIS. GIS obtains the vehicle operating space information obtained by the remote monitoring platform monitoring each vehicle, wherein the vehicle operating space information includes position space information and operating fuel information, and constructs the map corresponding to the driving trajectory of each vehicle according to the position space information. According to the preset area level, according to the map corresponding to the driving trajectory of each vehicle, a vehicle trajectory center of gravity distribution map is generated, and each trajectory center of gravity point in the vehicle trajectory center of gravity distribution map corresponds to a vehicle. Based on the vehicle trajectory center of gravity distribution map, according to the operating fuel information, the average fuel amount of vehicles of the same type in each vehicle in the preset area is determined. Among them, the terminal 110 can be, but is not limited to, various personal computers, laptops, smart phones and tablet computers, and the server 120 can be implemented with an independent server or a server cluster composed of multiple servers.

[0050] Figure 2 A flow chart of a method for determining a vehicle fuel quantity provided in an embodiment of the present application. The method can be performed as follows: Figure 1 The terminal 110 in the system shown in the figure executes. Figure 2 As shown, the method may include the following steps:

[0051] S210, obtaining vehicle operating space information obtained by monitoring each vehicle via a remote monitoring platform;

[0052] S220, constructing a map corresponding to the driving trajectory of each vehicle according to the position space information;

[0053] S230, generating a vehicle track center of gravity distribution map according to the preset area level and the map corresponding to the driving track of each vehicle;

[0054] S240, based on the vehicle trajectory center of gravity distribution map and according to the operating condition fuel information, determine the average fuel amount of vehicles of the same type in the preset area.

[0055] The vehicle operating space information is the position space information and operating fuel information obtained by the remote monitoring platform monitoring the vehicle. The position space information is the data describing the vehicle at any position on the earth's surface or in space, which may include the latitude and longitude of each track point in the vehicle's driving trajectory, track point identification, vehicle driving direction, timestamp and other information. The operating fuel information is the information related to fuel consumption of the vehicle during driving under specific working conditions, which may include vehicle speed, fuel flow, torque, engine speed and other information.

[0056] The vehicle operating space information of each vehicle can be obtained according to the vehicle identification code VIN. When obtaining the vehicle operating space information of each vehicle, it can be extracted according to the brand and model of the vehicle. For example, to obtain the vehicle operating space information of all FAW Hongta vehicles monitored by the remote monitoring platform, the vehicle operating space information corresponding to the vehicles whose first three digits of VIN are "LFN" can be extracted from the remote monitoring platform database.

[0057] After obtaining the vehicle operating space information of each vehicle, field-level data cleaning is performed, and any fields that exceed the definition domain are not included in the calculation. According to the HJ1239.3-2021 standard, the normal value range of single-byte data is 0 to 250, and the normal value range of double-byte data is 0 to 64255. The normal value range specified by the standard is called the definition domain.

[0058] The vehicle's driving trajectory is obtained from the position space information, and all the trajectory points of the vehicle's driving trajectory are organized into corresponding map sheets using the map framing method. Using GIS software, the vehicle's vehicle vector trajectory map is drawn based on the trajectory points assigned to each map sheet.

[0059] The preset regional levels include the provincial, prefectural and county administrative levels. The national road vector map with road name annotations is pre-divided according to the preset regional levels to obtain the national administrative division map. The trajectory center of gravity of all vehicles is mapped to the national administrative division map to obtain a vehicle trajectory center of gravity distribution map, in which each trajectory center of gravity point in the vehicle trajectory center of gravity distribution map corresponds to a vehicle.

[0060] Based on the vehicle trajectory centroid diagram, the vehicle VIN set and the number of vehicles included in each province can be obtained. According to the working condition fuel information and the number of vehicles corresponding to the vehicles in the vehicle VIN set of each province, the average fuel amount of the same type of vehicles in each vehicle is calculated, where the average fuel amount is the fuel consumption per 100 kilometers.

[0061] It can be seen that the embodiment of the present application obtains the vehicle operating condition spatial information obtained by monitoring each vehicle on a remote monitoring platform, constructs a map corresponding to the driving trajectory of each vehicle according to the position spatial information, generates a vehicle trajectory center of gravity distribution map according to the preset area level and the map corresponding to the driving trajectory of each vehicle, and determines the average fuel amount of the same type of vehicles in each vehicle in the preset area based on the vehicle trajectory center of gravity distribution map according to the operating condition fuel information, and utilizes the advantages of GIS software to better match and analyze the position spatial information and the operating condition fuel information, thereby improving the utilization rate of data and the accuracy of data analysis.

[0062] As a feasible method, the vehicle operating condition spatial information includes position spatial information; according to the position spatial information, a map corresponding to the driving trajectory of each vehicle is constructed, including:

[0063] Taking the zero point of longitude and latitude as the origin, longitude as the horizontal coordinate, and latitude as the vertical coordinate, the earth's surface area is divided into multiple basic map sheets according to the preset reference length;

[0064] Based on the location space information, extract the annual driving trajectory of each vehicle and the longitude and latitude coordinate point set corresponding to the annual driving trajectory;

[0065] A map sheet corresponding to the driving trajectory of each vehicle is constructed according to a plurality of basic map sheets, the driving trajectory of each vehicle throughout the year, and the longitude and latitude coordinate point sets corresponding to the driving trajectory throughout the year.

[0066] The preset reference length can be one millionth of a degree. With the zero point of longitude and latitude as the origin, longitude as the horizontal coordinate, latitude as the vertical coordinate, and one millionth of a degree 1 / 1,000,000 as the reference length unit, the entire earth's surface is extended into a 360*180 continuous grid, and each square degree is further divided into 1,000,000*1,000,000 (one trillion) grids with a side length equal to a preset reference length. Starting from the coordinate origin, the longitude difference = latitude difference = 65536 grids are taken as the basic division of a working condition map. Theoretically, the number of basic map sheets on the earth's surface is 15,087,426, and each basic map sheet covers a specific latitude and longitude range.

[0067] Taking vehicles as units, the annual driving trajectory of each vehicle and the longitude and latitude coordinate point set corresponding to the annual driving trajectory are extracted from the location space information, and the longitude and latitude coordinate points corresponding to the annual driving trajectory of each vehicle are allocated to the corresponding basic map sheet, so that the basic map sheet shows the annual driving trajectory of each vehicle, and each vehicle's annual driving trajectory point has its corresponding map sheet. Map tiling is conducive to improving the readability and usability of the map, and it is also convenient for map indexing and retrieval.

[0068] As a feasible method, according to the preset area level and the map corresponding to the driving trajectory of each vehicle, a vehicle trajectory center of gravity distribution map is generated, including:

[0069] Generate a vehicle vector trajectory map according to the map corresponding to the driving trajectory of each vehicle;

[0070] According to the vehicle vector trajectory map, determine the trajectory center of gravity of each vehicle;

[0071] According to the preset area level, the trajectory center point of each vehicle is mapped to the corresponding preset area in the vehicle vector trajectory map to obtain the vehicle trajectory center distribution map.

[0072] Using GIS software, we draw a vector track map for each map sheet based on the track points assigned to each map sheet, and integrate the track point data of the driving track throughout the year into one map to obtain a vehicle vector track map, which contains the driving track of each vehicle throughout the year. In addition, if the track points have elevation information, these points can be used to generate point cloud data, and GIS software converts the point cloud data into a three-dimensional point cloud map.

[0073] Any specific vehicle has a relatively fixed spatial range of activities. The length of the road that a vehicle travels during its entire life cycle is only a few dozen kilometers in extreme cases, such as buses and garbage trucks. The latitude and longitude of all vehicle trajectory points are averaged to obtain a point on the latitude and longitude plane. This point is called the center of gravity of the vehicle trajectory. The center of gravity of the vehicle trajectory is an effective pre-input for GIS spatial calculations. Since the actual routes of vehicle operation are relatively fixed and limited, especially the routes that vehicles often run are relatively stable and limited, the center of gravity of the vehicle trajectory is sufficiently reasonable.

[0074] According to the preset area level, the trajectory center point of each vehicle is mapped to the corresponding preset area in the vehicle vector trajectory map to obtain the vehicle trajectory center distribution map, specifically including:

[0075] Generate a driving trajectory center of gravity layer of each vehicle based on the vehicle vector trajectory map;

[0076] Generate a regional division layer based on the vehicle vector trajectory map according to the preset regional level;

[0077] The driving trajectory center of gravity layer and the area division layer are superimposed to map the trajectory center of gravity point of each vehicle to the corresponding preset area in the vehicle vector trajectory map to obtain the vehicle trajectory center of gravity distribution map.

[0078] The regional division layer refers to the map layer divided at the provincial, prefectural and county administrative levels, and its scale is the same as the vehicle vector trajectory map. The driving trajectory center of gravity layer and the regional division layer are spatially superimposed through GIS software, so that the trajectory center of gravity of each vehicle is mapped to the corresponding preset area in the vehicle vector trajectory map. Among them, the preset area is the area corresponding to the province, prefecture and county after the division. For example, the production base of a certain type of vehicle is in Yunnan, and its main use and sales are concentrated in the southwest region. The trajectory center of gravity points of each vehicle of this type of vehicle are mapped to the areas corresponding to the province, prefecture and county in the vehicle vector trajectory map, and the vehicle trajectory center of gravity distribution map of this type of vehicle is obtained. From the vehicle trajectory center of gravity distribution map of this type of vehicle, it can be seen that the trajectory center of gravity points of this type of vehicle are mainly concentrated in Yunnan Province, Sichuan Province and Guizhou Province. Since the production base of this type of vehicle is in Yunnan, its main use and sales are concentrated in the southwest region.

[0079] As a feasible method, based on the vehicle trajectory center of gravity distribution map and according to the working condition fuel information, the average fuel amount of the same type of vehicles in the preset area is determined, including:

[0080] Based on the vehicle trajectory center of gravity distribution map, determine the number of vehicles of the same type in a preset area;

[0081] According to the number of vehicles of the same type in the preset area and the operating condition fuel information corresponding to the vehicles of the same type in the preset area, the average fuel quantity of the vehicles of the same type in the preset area is determined.

[0082] The vehicle trajectory center of gravity distribution map can be used to obtain the preset area to which a certain type of vehicle belongs, and the number of vehicles of this type and the vehicle VIN set in the preset area can be further determined, and a bar chart of the number of vehicles in each province can be generated. The total fuel consumption of all vehicles of this type is calculated based on the working condition fuel information corresponding to the same type of vehicles in the preset area. The total fuel consumption is divided by the number of vehicles of the same type in the preset area to obtain the average fuel consumption of the same type of vehicles in the preset area, and the unit of the average fuel consumption is converted to liters per 100 kilometers, that is, the fuel consumption per 100 kilometers.

[0083] As an achievable manner, the method further includes: obtaining announcement information and / or user feedback information of each vehicle;

[0084] According to the announcement information and / or user feedback information, as well as the average fuel quantity of vehicles of the same type among vehicles in a preset area, it is determined whether the average fuel quantity of vehicles of the same type calculated by the remote monitoring platform is accurate.

[0085] Announcement information is an official announcement about vehicle manufacturers and their products, mainly including the main technical parameters and configuration information of vehicle products, including the vehicle's fuel consumption per 100 kilometers. User feedback information is the usage feedback provided by vehicle users through the network after using the vehicle, which may include driving track, fuel consumption per 100 kilometers, driving road conditions, vehicle speed, fuel flow, torque, engine speed, etc.

[0086] When the average fuel volume of the same type of vehicles in the preset area is close to the fuel consumption per 100 kilometers in the announcement information and / or user feedback information of each vehicle, it indicates that the average fuel volume of the same type of vehicles calculated by the remote monitoring platform is consistent with the fuel consumption level per 100 kilometers announced by the vehicle and is also consistent with the fuel consumption level per 100 kilometers reported by online users. Therefore, the average fuel volume of the same type of vehicles calculated by applying GIS software to the remote monitoring platform is accurate.

[0087] As an achievable manner, the method further includes: determining a driving area of ​​the target vehicle according to the vehicle trajectory gravity center distribution map, wherein the driving area of ​​the target vehicle includes at least one street;

[0088] Based on the latitude and longitude point cloud map corresponding to the vehicle trajectory center of gravity distribution map, the driving area of ​​the target vehicle is fused in sections to obtain a fuel consumption map of at least one street;

[0089] Based on the fuel consumption map of at least one street, a target area for taking temporary emission restriction measures on target vehicles is determined.

[0090] Among them, the target vehicles are vehicles that need to limit carbon emissions. The type of vehicles can be specified by the management personnel, or the type of vehicles with a large number of vehicles can be determined based on the usage of vehicle types in a certain area. The area with dense vehicle track centers of gravity is found according to the vehicle track center of gravity distribution map, and the area is determined as the driving area of ​​the target vehicle.

[0091] Generate a point cloud map using the latitude and longitude coordinates of the center of gravity of the trajectory within the driving area of ​​the target vehicle. If the trajectory data contains elevation information, the point cloud map will have three-dimensional characteristics. Use GIS software to perform spatial analysis on the point cloud map to determine the driving area and streets of the target vehicle. Extract the cross-section of the vehicle's driving area from the cross-section perpendicular to the driving direction in the point cloud map, and correspond the average fuel consumption per 100 kilometers of the target vehicle to the cross-section. The average fuel consumption per 100 kilometers can be interpolated or aggregated to match the spatial distribution of the cross-section. Map the average fuel consumption per 100 kilometers onto a two-dimensional map of the street to obtain a fuel consumption map of at least one street. Figure 3 is a fuel consumption diagram for a certain type of vehicle road section, such as Figure 3 As shown, the area marked by the circle in the figure is the target area where temporary emission restriction measures need to be taken for the target vehicle.

[0092] In addition, the average fuel consumption per 100 kilometers of the target vehicle can be displayed on the map with different colors and other visual variables to intuitively represent the fuel consumption of different streets. For example, red represents the sections with an average fuel consumption of more than 18L per 100 kilometers, green represents the sections with an average fuel consumption of less than 12L per 100 kilometers, and blue represents the sections with a fuel consumption between 12L and 18L per 100 kilometers.

[0093] It should be understood that although Figure 2 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in the application, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 2 At least part of the steps may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least part of the sub-steps or stages of other steps.

[0094] Figure 4 A schematic diagram of a vehicle fuel quantity determination device provided in an embodiment of the present application, which can be arranged at Figure 1 The terminal 110 in the system shown is used to perform the following operations: Figure 2 The method flow shown in Figure 4 As shown, the device may include: an acquisition module 410, a construction module 420, a generation module 430 and a determination module 440, and may further include: a judgment module. The main functions of each component module are as follows:

[0095] The acquisition module 410 is used to acquire the vehicle operating condition spatial information obtained by the remote monitoring platform monitoring each vehicle, wherein the vehicle operating condition spatial information includes position spatial information and operating condition fuel information;

[0096] A construction module 420 is used to construct a map corresponding to the driving trajectory of each vehicle according to the position space information;

[0097] A generating module 430 is used to generate a vehicle track gravity center distribution map according to a preset area level and a map corresponding to the driving track of each vehicle, wherein each track gravity center point in the vehicle track gravity center distribution map corresponds to a vehicle;

[0098] The determination module 440 is used to determine the average fuel amount of the same type of vehicles in the preset area based on the vehicle trajectory center of gravity distribution map and the operating condition fuel information.

[0099] As a feasible method, construction module 420 is specifically used to divide the earth's surface area into multiple basic map sheets according to a preset reference length, with the zero point of longitude and latitude as the origin, longitude as the horizontal coordinate, and latitude as the vertical coordinate; based on the position space information, the annual driving trajectory of each vehicle and the longitude and latitude coordinate point set corresponding to the annual driving trajectory are extracted; according to the multiple basic map sheets and the annual driving trajectory of each vehicle and the longitude and latitude coordinate point set corresponding to the annual driving trajectory, the map sheet corresponding to the driving trajectory of each vehicle is constructed.

[0100] As an achievable method, the generation module 430 is specifically used to generate a vehicle vector trajectory map according to the map corresponding to the driving trajectory of each vehicle; determine the trajectory center of gravity of each vehicle according to the vehicle vector trajectory map; and map the trajectory center of gravity of each vehicle to the corresponding preset area in the vehicle vector trajectory map according to the preset area level to obtain a vehicle trajectory center of gravity distribution map.

[0101] As an implementable method, the generation module 430 is specifically used to generate a driving trajectory center of gravity layer of each vehicle according to the vehicle vector trajectory map; generate a region division layer based on the vehicle vector trajectory map according to the preset area level; superimpose the driving trajectory center of gravity layer and the region division layer to map the trajectory center of gravity point of each vehicle to the corresponding preset area in the vehicle vector trajectory map, and obtain a vehicle trajectory center of gravity distribution map.

[0102] As an achievable method, the determination module 440 is specifically used to determine the number of vehicles of the same type in a preset area based on the vehicle trajectory center of gravity distribution map; according to the number of vehicles of the same type in the preset area and the operating fuel information corresponding to the vehicles of the same type in the preset area, determine the average fuel amount of vehicles of the same type in each vehicle in the preset area.

[0103] As a feasible method, the device also includes: a judgment module, used to obtain announcement information and / or user feedback information of each vehicle; based on the announcement information and / or user feedback information, and the average fuel quantity of vehicles of the same type among vehicles in a preset area, it is judged whether the average fuel quantity of vehicles of the same type calculated by the remote monitoring platform is accurate.

[0104] As a feasible method, the determination module 440 is also used to determine the driving area of ​​the target vehicle according to the vehicle trajectory center of gravity distribution map, wherein the driving area of ​​the target vehicle includes at least one street; based on the latitude and longitude point cloud map corresponding to the vehicle trajectory center of gravity distribution map, the driving area of ​​the target vehicle is cross-sectionally fused to obtain a fuel consumption map of at least one street; based on the fuel consumption map of at least one street, the target area for taking temporary emission restriction measures for the target vehicle is determined.

[0105] The same or similar parts between the above embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0106] According to an embodiment of the present application, the present application also provides a computer device and a computer-readable storage medium.

[0107] like Figure 5 , is a block diagram of a computer device according to an embodiment of the present application. The computer device is intended to represent various forms of digital computers or mobile devices. The digital computer may include a desktop computer, a portable computer, a workbench, a personal digital assistant, a server, a mainframe computer, and other suitable computers. The mobile device may include a tablet computer, a smart phone, a wearable device, etc.

[0108] like Figure 5As shown, the computer device 500 includes a computing unit 501, a ROM 502, a RAM 503, a bus 504, and an input / output (I / O) interface 505, and the computing unit 501, the ROM 502, and the RAM 503 are connected to each other through the bus 504. The input / output (I / O) interface 505 is also connected to the bus 504.

[0109] The computing unit 501 can perform various processes in the method embodiment of the present application according to the computer instructions stored in the read-only memory (ROM) 502 or the computer instructions loaded from the storage unit 508 to the random access memory (RAM) 503. The computing unit 501 can be various general and / or special processing components with processing and computing capabilities. The computing unit 501 may include, but is not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. In some embodiments, the method provided in the embodiment of the present application can be implemented as a computer software program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 508.

[0110] The RAM 503 may also store various programs and data required for the operation of the computer device 500. Part or all of the computer program may be loaded and / or installed on the computer device 500 via the ROM 502 and / or the communication unit 509.

[0111] The input unit 506, output unit 507, storage unit 508 and communication unit 509 in the computer device 500 can be connected to the I / O interface 505. The input unit 506 can be, for example, a keyboard, a mouse, a touch screen, a microphone, etc. The output unit 507 can be, for example, a display, a speaker, an indicator light, etc. The computer device 500 can exchange information, data, etc. with other devices through the communication unit 509.

[0112] It should be noted that the device may also include other components necessary for normal operation, or may only include components necessary for implementing the solution of the present application, rather than all the components shown in the figure.

[0113] Various implementations of the systems and techniques described herein can be realized in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof.

[0114] The computer instructions for implementing the method of the present application can be written in any combination of one or more programming languages. These computer instructions can be provided to the computing unit 501, so that when the computer instructions are executed by the computing unit 501 such as a processor, the steps involved in the method embodiment of the present application are executed.

[0115] The computer-readable storage medium provided in the present application may be a tangible medium that may contain or store computer instructions for executing the steps involved in the method embodiments of the present application. The computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, and other forms of storage media.

[0116] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A method for determining the amount of fuel in a vehicle, characterized in that: The method comprises: Acquire vehicle operating condition spatial information obtained by monitoring each vehicle on a remote monitoring platform, wherein the vehicle operating condition spatial information includes position spatial information and operating condition fuel information; Constructing a map corresponding to the driving trajectory of each of the vehicles according to the positional spatial information; According to the preset area level, based on the map corresponding to the driving tracks of each of the vehicles, a vehicle track center of gravity distribution map is generated, wherein each track center of gravity point in the vehicle track center of gravity distribution map corresponds to a vehicle; Based on the vehicle trajectory center of gravity distribution map and according to the operating condition fuel information, the average fuel amount of the same type of vehicles in the preset area is determined.

2. The method according to claim 1, characterized in that The step of constructing a map corresponding to the driving trajectory of each vehicle according to the position space information includes: Taking the zero point of longitude and latitude as the origin, longitude as the horizontal coordinate, and latitude as the vertical coordinate, the earth's surface area is divided into multiple basic map sheets according to the preset reference length; Based on the positional spatial information, extracting the annual driving trajectory of each of the vehicles and the longitude and latitude coordinate point set corresponding to the annual driving trajectory; A map sheet corresponding to the driving trajectory of each vehicle is constructed based on the multiple basic map sheets, the driving trajectory of each vehicle throughout the year, and the longitude and latitude coordinate point sets corresponding to the driving trajectory throughout the year.

3. The method according to claim 1, characterized in that The generating of the vehicle track center of gravity distribution map according to the preset area level and the map corresponding to the driving track of each vehicle includes: Generate a vehicle vector trajectory map according to the map sheets corresponding to the driving trajectories of the vehicles; Determining the trajectory center of gravity of each of the vehicles according to the vehicle vector trajectory map; According to the preset area level, the trajectory center point of each vehicle is mapped to the corresponding preset area in the vehicle vector trajectory map to obtain a vehicle trajectory center distribution map.

4. The method according to claim 3, characterized in that According to the preset area level, mapping the trajectory center point of each vehicle to the corresponding preset area in the vehicle vector trajectory map to obtain a vehicle trajectory center distribution map, including: Generating a driving trajectory center of gravity layer of each of the vehicles according to the vehicle vector trajectory map; Generate a region division layer based on the vehicle vector trajectory map according to the preset region level; The driving trajectory center of gravity layer and the area division layer are superimposed to map the trajectory center of gravity point of each vehicle to the corresponding preset area in the vehicle vector trajectory map to obtain a vehicle trajectory center of gravity distribution map.

5. The method according to claim 1, characterized in that: The determining, based on the vehicle trajectory gravity center distribution diagram and according to the operating condition fuel information, an average fuel amount of vehicles of the same type in the vehicles in the preset area includes: Determining the number of vehicles of the same type in the preset area based on the vehicle trajectory center of gravity distribution map; According to the number of vehicles of the same type in the preset area and the operating condition fuel information corresponding to the vehicles of the same type in the preset area, the average fuel quantity of the vehicles of the same type in the preset area is determined.

6. The method according to claim 1, characterized in that The method further comprises: Obtaining announcement information and / or user feedback information of each of the vehicles; According to the announcement information and / or the user feedback information, and the average fuel quantity of vehicles of the same type among the vehicles in the preset area, it is determined whether the average fuel quantity of vehicles of the same type calculated by the remote monitoring platform is accurate.

7. The method according to claim 1, characterized in that The method further comprises: Determining a driving area of ​​a target vehicle according to the vehicle trajectory gravity center distribution map, wherein the driving area of ​​the target vehicle includes at least one street; Based on the latitude and longitude point cloud map corresponding to the vehicle trajectory center of gravity distribution map, cross-section fusion is performed on the driving area of ​​the target vehicle to obtain a fuel consumption map of the at least one street; A target area for taking temporary emission restriction measures on the target vehicle is determined based on the fuel consumption map of the at least one street.

8. A vehicle fuel quantity determination device, characterized in that: The device comprises: An acquisition module, used to acquire vehicle operating condition spatial information obtained by the remote monitoring platform monitoring each vehicle, wherein the vehicle operating condition spatial information includes position spatial information and operating condition fuel information; A construction module, used to construct a map corresponding to the driving trajectory of each of the vehicles according to the position space information; A generating module, for generating a vehicle track gravity center distribution map according to a preset area level and a map corresponding to the driving track of each vehicle, wherein each track gravity center point in the vehicle track gravity center distribution map corresponds to a vehicle; A determination module is used to determine the average fuel quantity of the same type of vehicles in the preset area based on the vehicle trajectory center of gravity distribution map and the operating condition fuel information.

9. A computer device comprising: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores computer instructions that can be executed by the at least one processor, and the computer instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having computer instructions stored thereon, characterized in that: The computer instructions are used to cause a computer to execute the method according to any one of claims 1 to 7.

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