Method for inverting motor vehicle emission load based on road congestion index

Abstract

The invention discloses a method for inverting the motor vehicle emission amount based on a road congestion index, and relates to the technical field of traffic transportation pollutant emission estimation, and the method comprises the steps: obtaining a road congestion interval and motor vehicle emission data; obtaining index analysis data based on preprocessing; a vehicle analysis model is established and trained, and a discharge amount analysis model and a congestion discharge interval are obtained; based on the real-time road congestion index, obtaining the motor vehicle emission in the target analysis area; the method is used for solving the problems that in an existing motor vehicle emission estimation method, the method cannot be suitable for vehicles of all road sections, and when a to-be-detected road section is congested, the motor vehicle emissions of the same road section in different congested states cannot be effectively distinguished; and thus, the problem that the obtained motor vehicle emission amount is not accurate enough when the road is congested is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of transportation pollutant emission estimation, and in particular to a method for inverting motor vehicle emissions based on a road congestion index. Background Art

[0002] Motor vehicle emissions refer to the volume of fluid inhaled or discharged by the engine per stroke or cycle. It is an important parameter for measuring a car and is generally expressed in liters. The road congestion index, also known as the traffic congestion index, is an indicator that comprehensively reflects the traffic operation status of the road network. It is used to describe the characteristics of traffic congestion in terms of space, time and intensity.

[0003] Existing methods for estimating motor vehicle emissions are usually based on highway toll gantry data. By dynamically estimating the motor vehicle emissions in each gantry unit, the total emissions of the entire highway are calculated. Although this improved method can improve the accuracy of motor vehicle emissions calculation based on highway toll gantry data, it cannot be applied to all road sections. When there are no toll booths or gates or other devices that record vehicles on the road section to be tested, it will cause the problem of being unable to effectively estimate emissions due to inaccurate vehicle records. At the same time, when the road section to be tested is congested, it is impossible to effectively distinguish the motor vehicle emissions in the same road section and under different congestion conditions, resulting in the problem of inaccurate motor vehicle emissions obtained during road congestion. For example, in the publication No. CN11508183 0A's patent application discloses a method for dynamic emission estimation and health risk assessment of motor vehicles on highways. This solution is to divide the gantry units and perform preprocessing to dynamically estimate the motor vehicle emissions in each gantry unit, and then calculate the total emissions of the entire highway. Other improvements for estimating motor vehicle emissions are usually based on the annual emissions and annual activity of each type of car in the area to be calculated. They still cannot solve the problem of vehicles applicable to all road sections, and when there is congestion on the road section to be detected, it is impossible to effectively distinguish the emissions of motor vehicles on the same road section and in different congestion states, resulting in the problem of inaccurate motor vehicle emissions obtained when the road is congested. In view of this, it is necessary to improve the existing methods for estimating motor vehicle emissions. Summary of the Invention

[0004] The present invention aims to solve, at least to a certain extent, one of the technical problems in the prior art by proposing a method for inverting motor vehicle emissions based on a road congestion index. The method is used to solve the problem that the existing motor vehicle emissions estimation method is not applicable to vehicles on all road sections, and when there is congestion on the road section to be detected, it is impossible to effectively distinguish the emissions of motor vehicles on the same road section and in different congestion states, thereby resulting in inaccurate motor vehicle emissions obtained when the road is congested.

[0005] To achieve the above objectives, in a first aspect, the present application provides a method for inverting motor vehicle emissions based on a road congestion index, comprising the following steps:

[0006] Obtaining historical data of a road congestion index within a target analysis area, and obtaining road congestion intervals and motor vehicle emission data based on the historical data, wherein the target analysis area is the area for analyzing motor vehicle emissions, and the road congestion index within the road congestion interval is recorded as the analysis congestion index;

[0007] Preprocessing the motor vehicle emission data, and obtaining index analysis data corresponding to each analysis congestion index in the road congestion interval based on the preprocessing results;

[0008] Establish a vehicle analysis model and train the vehicle analysis model based on the motor vehicle emission data and the index analysis data; record the vehicle analysis model trained based on all motor vehicle emission data as the emission analysis model, and obtain the congestion emission range for analyzing the congestion index;

[0009] Based on the congestion emission intervals corresponding to all analyzed congestion indices, the emission analysis model, and the real-time road congestion index in the target analysis area, the motor vehicle emissions in the target analysis area are obtained.

[0010] Furthermore, obtaining historical data of the road congestion index in the target analysis area, and obtaining road congestion intervals and motor vehicle emission data based on the historical data include:

[0011] Based on historical data of road congestion indexes recorded in the target analysis area, all recorded road congestion indexes in the target analysis area are obtained, and an interval consisting of the maximum and minimum values of all road congestion indexes is recorded as a road congestion interval;

[0012] For any analysis congestion index in the road congestion interval, the monitoring data of all vehicles in the target analysis area corresponding to each time the analysis congestion index is recorded is recorded as the motor vehicle emission data corresponding to the analysis congestion index, wherein the same analysis congestion index may correspond to multiple motor vehicle emission data;

[0013] Obtain all motor vehicle emission data corresponding to all analyzed congestion indices;

[0014] Randomly obtain the motor vehicle emission data corresponding to the minimum analysis congestion index, and use AI image recognition to identify all motor vehicles in the motor vehicle emission data, and then record the average speed of all motor vehicles as the regular driving speed, where the minimum analysis congestion index is recorded as G.

[0015] Furthermore, the pre-processing includes:

[0016] Based on AI image recognition, all motor vehicles in the motor vehicle emission data are identified and recorded in sequence as recorded motor vehicle JD1 to recorded motor vehicle JD c ;

[0017] For any recorded motor vehicle JD v , based on motor vehicle emission data, the motor vehicle JD will be recorded v The distance traveled in the target analysis area is recorded as L1, and the JD of the recorded motor vehicle is obtained. v Vehicle parameters, and based on the recorded motor vehicle JD v Vehicle parameter acquisition record motor vehicle JD v The emissions when driving L1 at normal speed are recorded as normal emissions.

[0018] Furthermore, the preprocessing also includes:

[0019] Based on record motor vehicle JD v Vehicle parameters and motor vehicle emission data are recorded in the motor vehicle JD v The driving status of the motor vehicle is recorded v Simulate driving in motor vehicle emission data and obtain and record motor vehicle JD after the simulation. v emissions and recorded as congestion emissions;

[0020] Obtain the regular emissions and congestion emissions corresponding to all motor vehicles in the motor vehicle emission data;

[0021] When the vehicle types of any two motor vehicles A and B in the motor vehicle emission data are the same, the congestion emissions of motor vehicles A and B are adjusted to the average of the congestion emissions of motor vehicles A and B of the corresponding vehicle types.

[0022] Furthermore, the preprocessing also includes:

[0023] Obtain the conventional emissions and congestion emissions corresponding to all motor vehicles in all motor vehicle emission data;

[0024] Any motor vehicle JD recorded in all motor vehicle emission data v : Establish a plane rectangular coordinate system and record it as the emission analysis coordinate system, where the X axis of the emission analysis coordinate system is a constant axis and the unit of the Y axis is L; record the JD of the motor vehicle v The average value of the conventional emissions in all motor vehicle emission data is recorded as T, and Y = T is recorded as the JD of the recorded motor vehicle. v Conventional discharge line.

[0025] Furthermore, the preprocessing also includes:

[0026] The congestion index corresponding to the motor vehicle emission data of all motor vehicle emission data and the recorded motor vehicle JD v The congestion emission is marked as the horizontal and vertical coordinates in the emission analysis coordinate system, and the curve obtained by fitting all the marks is recorded as the congestion emission curve;

[0027] For any point (X1, Y1) in the congestion emission curve, the point (X1, Y1-T) is recorded as the congestion difference point; the curve composed of all congestion difference points corresponding to the congestion emission curve is recorded as the congestion difference curve;

[0028] Get all records of motor vehicle JD v The corresponding congestion difference curve;

[0029] For any analytical congestion index α, the index analysis data corresponding to the analytical congestion index α is: the recorded motor vehicle JD recorded in all motor vehicle emission data and the reference emissions corresponding to each recorded motor vehicle JD, wherein the reference emissions are the vertical coordinate corresponding to the point in the congestion difference curve whose horizontal coordinate is the analytical congestion index α.

[0030] Furthermore, establishing a vehicle analysis model and training the vehicle analysis model based on the motor vehicle emission data and the index analysis data include:

[0031] Establish a vehicle analysis model, which includes AI image recognition and records all index analysis data;

[0032] The vehicle analysis model includes a vehicle analysis method, which includes: entering motor vehicle emission data into the vehicle analysis model, identifying all vehicles in the motor vehicle emission data based on AI image recognition, and obtaining all recorded motor vehicles JD appearing in the motor vehicle emission data in sequence based on the recognition results, and recording them as analyzed motor vehicles FJ, wherein the analyzed motor vehicles FJ may contain motor vehicles of the same model.

[0033] Furthermore, the vehicle analysis method further includes:

[0034] The analysis congestion index corresponding to the motor vehicle emission data is recorded as D. When D is greater than G, the reference emissions corresponding to all analyzed motor vehicles FJ when the analysis congestion index is D are obtained based on the index analysis data, and Denote as the motor vehicle emissions corresponding to D, where b is the number of analyzed motor vehicles FJ, f i is the reference emission of the i-th analyzed motor vehicle FJ among all analyzed motor vehicles FJ, g i is the conventional emission of the i-th analyzed motor vehicle FJ among all analyzed motor vehicles FJ;

[0035] When D is equal to G, the vehicle emissions corresponding to G are recorded as the sum of the conventional emissions of all analyzed vehicles FJ.

[0036] Furthermore, the vehicle analysis model trained based on all motor vehicle emission data is recorded as an emission analysis model, and the congestion emission interval for analyzing the congestion index includes:

[0037] Entering all motor vehicle emission data into the vehicle analysis model in sequence, and obtaining motor vehicle emission amounts corresponding to the analysis congestion index obtained after all motor vehicle emission data are analyzed by the vehicle analysis model;

[0038] The vehicle analysis model at this time is recorded as the emission analysis model, and for any analysis congestion index, the interval consisting of the maximum and minimum values of all motor vehicle emissions corresponding to the analysis congestion index obtained by the vehicle analysis model is recorded as the congestion emission interval of the analysis congestion index.

[0039] Furthermore, based on the congestion emission intervals corresponding to all analyzed congestion indices, the emission analysis model, and the real-time road congestion index in the target analysis area, obtaining the motor vehicle emissions in the target analysis area includes:

[0040] Obtain a real-time road congestion index in the target analysis area, denoted as K, and input K into the vehicle analysis model to obtain real-time index analysis data in the target analysis area;

[0041] Enter the real-time index analysis data and K into the emission analysis model, and record the motor vehicle emissions corresponding to K as R; when R is in the congestion emission range of K, record R as the motor vehicle emissions in the target analysis area;

[0042] When R is not in the congestion emission interval of K, the value with the smallest difference from R in the congestion emission interval of K is recorded as the motor vehicle emissions in the target analysis area.

[0043] Beneficial effects of the present invention: The present application first obtains historical data of the road congestion index in the target analysis area, and obtains the road congestion interval and motor vehicle emission data based on the historical data; then preprocesses the motor vehicle emission data, and obtains index analysis data corresponding to each analyzed congestion index in the road congestion interval based on the preprocessing result. The advantage of this is that by obtaining the road congestion interval and motor vehicle emission data, data that can be used to effectively analyze each congestion condition can be obtained for various congestion conditions on the road, ensuring that the obtained index analysis data is data that meets each analyzed congestion parameter in the target analysis area, thereby achieving effective differentiation of motor vehicle emissions under different congestion conditions in the same road section in subsequent analysis, thereby solving the problem of inaccurate acquisition of motor vehicle emissions under different congestion conditions when the road is congested;

[0044] The present application also establishes a vehicle analysis model and trains the vehicle analysis model based on motor vehicle emission data and index analysis data; the vehicle analysis model trained based on all motor vehicle emission data is recorded as an emission analysis model, and the congestion emission interval of the analysis congestion index is obtained; finally, based on the congestion emission interval corresponding to all analysis congestion indices, the emission analysis model and the real-time road congestion index in the target analysis area, the motor vehicle emissions in the target analysis area are obtained. The advantage of this is that by establishing a vehicle analysis model and obtaining the emission analysis model and the congestion emission interval through training, the efficiency of data analysis is improved by using the emission analysis model in the actual process of emission analysis, and the congestion emission interval is used to calibrate the calculated emissions, so as to achieve the acquisition of motor vehicle emissions. The efficiency and accuracy of emission acquisition are improved under the premise that it is applicable to all road sections. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 is a flow chart of the steps of the method of the present invention;

[0046] Figure 2 A schematic diagram of obtaining a congestion difference curve according to the present invention;

[0047] Figure 3 Schematic diagram for obtaining index analysis data;

[0048] Figure 4 Schematic diagram of the structure of the electronic device of the present invention. DETAILED DESCRIPTION

[0049] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0050] Example 1, please refer to Figure 1 As shown, the present application provides a method for inverting motor vehicle emissions based on a road congestion index, comprising the following steps:

[0051] Step S1, obtaining historical data of a road congestion index within a target analysis area, and obtaining road congestion intervals and motor vehicle emission data based on the historical data, wherein the target analysis area is the area for analyzing motor vehicle emissions, and the road congestion index within the road congestion interval is recorded as the analysis congestion index;

[0052] Preprocessing the motor vehicle emission data, and obtaining index analysis data corresponding to each analysis congestion index in the road congestion interval based on the preprocessing results;

[0053] Step S1 includes: step S101, based on the historical data of the road congestion index recorded in the target analysis area, obtaining all the recorded road congestion indexes in the target analysis area, and recording the interval consisting of the maximum value and the minimum value of all the road congestion indexes as the road congestion interval;

[0054] In a specific implementation, the road congestion index in this embodiment corresponds to an interval of [0, 10]. The road congestion interval can be obtained based on the road congestion index actually recorded in the target analysis area, that is, the road congestion interval should be included in [0, 10]. For example, if the road congestion interval in an analysis is [0, 7], then 0 to 7 can be recorded as the analysis congestion index.

[0055] Step S102: For any analysis congestion index in the road congestion interval, the monitoring data of all vehicles in the target analysis area corresponding to each recording of the analysis congestion index, including fuel type, vehicle model structure, emission stage, operation nature, vehicle mass, vehicle model, etc., is recorded as the motor vehicle emission data corresponding to the analysis congestion index. The same analysis congestion index can correspond to multiple motor vehicle emission data.

[0056] In the specific implementation process, for example, if the congestion index of the analysis is 5, in the monitoring data of all vehicles in the target analysis area, the road congestion index of 5 occurs 3 times, then the monitoring data of all vehicles corresponding to the 3 times can be recorded as the motor vehicle emission data of the congestion index of 5, so as to fully analyze the index analysis data corresponding to the congestion index of 5 in subsequent analysis;

[0057] Step S103, obtaining all motor vehicle emission data corresponding to all analyzed congestion indices;

[0058] Step S104: randomly obtain motor vehicle emission data corresponding to a minimum analysis congestion index, use AI image recognition to identify all motor vehicles in the motor vehicle emission data, and record the average speed of all motor vehicles as the normal driving speed, wherein the minimum analysis congestion index is recorded as G;

[0059] During the specific implementation process, the purpose of obtaining the regular driving speed is to obtain the driving speed of vehicles in the lowest congestion state in the target analysis area. Compared with the regular driving speed obtained by speed limit on the road section, the regular driving speed obtained based on the average speed of all motor vehicles is more consistent with the actual vehicle driving status in the target analysis area, so as to ensure that the data obtained from subsequent analysis is more accurate.

[0060] Step S105, pre-processing includes: Step S1051, identifying all motor vehicles in the motor vehicle emission data based on AI image recognition, and recording them in sequence as recorded motor vehicle JD1 to recorded motor vehicle JD c ;

[0061] Step S1052: For any recorded motor vehicle JD v , based on motor vehicle emission data, the motor vehicle JD will be recorded v The distance traveled in the target analysis area is recorded as L1, and the JD of the recorded motor vehicle is obtained. v Vehicle parameters, and based on the recorded motor vehicle JD v Vehicle parameter acquisition record motor vehicle JD v The emissions when driving L1 at normal speed are recorded as normal emissions;

[0062] Step S1053, based on the recorded vehicle JD v Vehicle parameters and motor vehicle emission data are recorded in the motor vehicle JD v The driving status of the motor vehicle is recorded v Simulate driving in motor vehicle emission data and obtain and record motor vehicle JD after the simulation. v emissions and recorded as congestion emissions;

[0063] In the specific implementation process, the driving simulation of the recorded motor vehicle JD can be carried out by obtaining the motor vehicle parameters of the recorded motor vehicle JD, and then simplifying the calculation using the coefficients specified in the "Technical Guidelines for the Compilation of Road Mobile Source Emission Inventories" issued by the Ministry of Ecology and Environment. A fixed emission factor table divided by road type, vehicle type and operating conditions is provided, and congestion emissions are efficiently obtained, so as to improve the efficiency of data acquisition while ensuring data accuracy;

[0064] Step S1054, obtaining the normal emission and congestion emission corresponding to all motor vehicles in the motor vehicle emission data;

[0065] Step S1055: When any two motor vehicles A and B in the motor vehicle emission data are of the same vehicle type, the congestion emissions of motor vehicles A and B are adjusted to the average of the congestion emissions of motor vehicles A and B of the corresponding vehicle types;

[0066] In a specific implementation, for example, during a data analysis, the model calculates that the pollutant emissions per unit time under congestion conditions are: hydrocarbon (HC) emissions of vehicle A are 200 g / h, and HC emissions of vehicle B are 210 g / h. The congestion emissions corresponding to these vehicles can be set to the average HC emissions of vehicle A and vehicle B when the congestion index is 5, i.e., 205 g / h, to facilitate subsequent data processing.

[0067] Step S1056, obtaining the normal emission and congestion emission corresponding to all motor vehicles in all motor vehicle emission data;

[0068] Step S1057: any motor vehicle JD recorded in all motor vehicle emission data v : Establish a plane rectangular coordinate system and record it as the emission analysis coordinate system, where the X axis of the emission analysis coordinate system is a constant axis and the unit of the Y axis is L; record the JD of the motor vehicle v The average value of the conventional emissions in all motor vehicle emission data is recorded as T, and Y = T is recorded as the JD of the recorded motor vehicle. v Conventional discharge line;

[0069] Step S1058: Analyze the congestion index corresponding to the motor vehicle emission data and record the motor vehicle JD in all motor vehicle emission data. v The congestion emission is marked as the horizontal and vertical coordinates in the emission analysis coordinate system, and the curve obtained by fitting all the marks is recorded as the congestion emission curve;

[0070] In the specific implementation process, for example, during a data analysis, the emission analysis coordinate system obtained is as follows: Figure 2 As shown in the figure, the straight line TT is the normal emission line, the curve YP is the congestion emission curve, and through analysis, the curve YC is the congestion difference curve. By obtaining the congestion difference curve, the additional emissions of the same motor vehicle under different congestion conditions compared to the normal driving state of the motor vehicle can be obtained, so as to facilitate the subsequent calculation of motor vehicle emissions based on the real-time road congestion index;

[0071] Step S1059: for any point (X1, Y1) in the congestion emission curve, record the point (X1, Y1-T) as a congestion difference point; record the curve formed by all congestion difference points corresponding to the congestion emission curve as a congestion difference curve;

[0072] Step S1061, obtain all recorded motor vehicle JDs v The corresponding congestion difference curve;

[0073] Step S1062: For any analyzed congestion index α, the index analysis data corresponding to the analyzed congestion index α is: the JD of all recorded motor vehicles recorded in the emission data of all motor vehicles and the reference emission corresponding to each JD of the recorded motor vehicle, wherein the reference emission is the ordinate corresponding to the point whose abscissa is the analyzed congestion index α in the congestion difference curve;

[0074] In the specific implementation process, for example, during a data analysis, the congestion difference curve corresponding to all recorded motor vehicle JDs is as follows: Figure 3 As shown in YC1 to YC4 in , the index analysis data corresponding to the congestion index 2 are the motor vehicles corresponding to YC1 to YC4 and α1 to α4; by obtaining the index analysis data of each congestion index based on the congestion difference curve corresponding to all recorded motor vehicles JD, it can be ensured that the obtained index analysis data is data that meets each congestion parameter in the target analysis area, thereby effectively distinguishing the emissions of motor vehicles under different congestion conditions in the same road section in subsequent analysis, so as to solve the problem of inaccurate acquisition of the emissions of motor vehicles under different congestion conditions when the road is congested.

[0075] Step S2: Establish a vehicle analysis model and train the vehicle analysis model based on the vehicle emission data and the index analysis data; record the vehicle analysis model trained based on all vehicle emission data as the emission analysis model, and obtain the congestion emission interval for analyzing the congestion index;

[0076] Step S2 includes: Step S201, establishing a vehicle analysis model, wherein the vehicle analysis model includes AI image recognition and records all index analysis data;

[0077] In step S202, the vehicle analysis model includes a vehicle analysis method, which includes: step S2021, inputting the motor vehicle emission data into the vehicle analysis model, identifying all vehicles in the motor vehicle emission data based on AI image recognition, and sequentially obtaining all recorded motor vehicles JD appearing in the motor vehicle emission data based on the recognition results, and recording them as analyzed motor vehicles FJ, wherein the analyzed motor vehicles FJ may contain motor vehicles of the same model;

[0078] Step S2022: record the analysis congestion index corresponding to the motor vehicle emission data as D. When D is greater than G, obtain the reference emissions corresponding to all analyzed motor vehicles FJ when the analysis congestion index is D based on the index analysis data, and Denote as the motor vehicle emissions corresponding to D, where b is the number of analyzed motor vehicles FJ, f i is the reference emission of the i-th analyzed motor vehicle FJ among all analyzed motor vehicles FJ, g i is the conventional emission of the i-th analyzed motor vehicle FJ among all analyzed motor vehicles FJ;

[0079] In a specific implementation process, for example, in a data analysis, the HC conventional emissions of all analyzed vehicles FJ are 100 g / h, 50 g / h, 75 g / h, and 80 g / h, and the HC reference emissions of all analyzed vehicles FJ are 90 g / h, -10 g / h, 50 g / h, and 30 g / h, respectively. Then, through calculation, it can be obtained that the HC emission of vehicle D is 465 g / h.

[0080] Step S2023: When D is equal to G, the motor vehicle emission corresponding to G is recorded as the sum of the normal emissions of all analyzed motor vehicles FJ.

[0081] Step S2 further includes: step S203, sequentially inputting all motor vehicle emission data into the vehicle analysis model, and obtaining motor vehicle emission amounts corresponding to the analysis congestion index obtained after all motor vehicle emission data are analyzed by the vehicle analysis model;

[0082] In step S204, the vehicle analysis model at this time is recorded as the emission analysis model, and for any analysis congestion index, the interval consisting of the maximum and minimum values of all motor vehicle emissions corresponding to the analysis congestion index obtained by the vehicle analysis model is recorded as the congestion emission interval of the analysis congestion index; in the specific implementation process, by obtaining the congestion emission interval of each analysis congestion index, the normal emission interval of the motor vehicle emissions corresponding to each analysis congestion index in the target analysis area can be obtained, which helps to calibrate the obtained motor vehicle emissions when obtaining real-time motor vehicle emissions, so as to improve the accuracy of data analysis.

[0083] In the specific implementation process, the default target analysis area is a single road, that is, all vehicles travel the same distance in the target analysis area; when there are multiple branch roads in the target analysis area during actual analysis, each branch road can be analyzed separately;

[0084] Step S3, obtaining the motor vehicle emissions in the target analysis area based on the congestion emission intervals corresponding to all analyzed congestion indices, the emission analysis model, and the real-time road congestion index in the target analysis area;

[0085] Step S3 includes: step S301, obtaining a real-time road congestion index in a target analysis area, recorded as K, and recording monitoring data of all vehicles in the target analysis area when K is obtained as real-time monitoring data;

[0086] Step S302: Enter the real-time monitoring data and K into the emission analysis model, and record the vehicle emissions corresponding to K as R. When R is within the congestion emission range of K, R is recorded as the vehicle emissions in the target analysis area.

[0087] In the specific implementation process, for example, in a data analysis, K is obtained as 5, and the HC emissions in the congestion emission interval of K are [400g / h, 600g / h]. After entering the real-time monitoring data and K into the emission analysis model, the obtained R is 465g / h. This means that R is within the normal emission interval when the road congestion index is 5 in the target analysis area. R can be directly used as the motor vehicle emissions in the target analysis area.

[0088] Step S303 : When R is not in the congested emission interval of K, the value with the smallest difference from R in the congested emission interval of K is recorded as the motor vehicle emissions in the target analysis area.

[0089] Example 2, please refer to Figure 4 As shown, Figure 4 A schematic diagram of the structure of an electronic device is provided. The electronic device may include: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus. The memory stores computer-readable instructions, and the processor can call the instructions in the memory. When the computer-readable instructions are executed by the processor, the steps of a method for inverting motor vehicle emissions based on a road congestion index are executed to implement the following functions: first, historical data of the road congestion index in a target analysis area is obtained, and road congestion intervals and motor vehicle emission data are obtained based on the historical data; then, the motor vehicle emission data is preprocessed, and index analysis data corresponding to each analysis congestion index in the road congestion interval is obtained based on the preprocessing results; a vehicle analysis model is established and trained based on the motor vehicle emission data and the index analysis data; the vehicle analysis model trained based on all motor vehicle emission data is recorded as an emission analysis model, and the congestion emission interval of the analysis congestion index is obtained; finally, motor vehicle emissions in the target analysis area are obtained based on the congestion emission intervals corresponding to all analysis congestion indices, the emission analysis model, and the real-time road congestion index in the target analysis area.

[0090] In addition, the logical instructions in the above-mentioned memory can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0091] Example 3. The present application also provides a computer program product, which includes a computer program stored on a computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute a method provided by the above methods for inverting motor vehicle emissions based on a road congestion index. The method includes: first, obtaining historical data of the road congestion index in the target analysis area, and obtaining road congestion intervals and motor vehicle emission data based on the historical data; then, preprocessing the motor vehicle emission data, and obtaining index analysis data corresponding to each analysis congestion index in the road congestion interval based on the preprocessing result; establishing a vehicle analysis model, and training the vehicle analysis model based on the motor vehicle emission data and the index analysis data; recording the vehicle analysis model trained based on all motor vehicle emission data as an emission analysis model, and obtaining the congestion emission interval of the analysis congestion index; finally, obtaining the motor vehicle emissions in the target analysis area based on the congestion emission intervals corresponding to all analysis congestion indices, the emission analysis model, and the real-time road congestion index in the target analysis area.

[0092] Example 4. The present application also provides a computer-readable storage medium. The present application provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the method for inverting motor vehicle emissions based on the road congestion index are executed to achieve the following functions: first, historical data of the road congestion index in the target analysis area are obtained, and road congestion intervals and motor vehicle emission data are obtained based on the historical data; then the motor vehicle emission data are preprocessed, and index analysis data corresponding to each analysis congestion index in the road congestion interval is obtained based on the preprocessing results; a vehicle analysis model is established, and the vehicle analysis model is trained based on the motor vehicle emission data and the index analysis data; the vehicle analysis model trained based on all motor vehicle emission data is recorded as an emission analysis model, and the congestion emission interval of the analysis congestion index is obtained; finally, based on the congestion emission intervals corresponding to all analysis congestion indices, the emission analysis model and the real-time road congestion index in the target analysis area, the motor vehicle emissions in the target analysis area are obtained.

[0093] Through the description of the above embodiments, the embodiments of the present invention can be provided as methods, systems or computer program products. Based on this understanding, the above technical solutions, in essence or in other words, the part that contributes to the prior art, can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiment.

[0094] In the embodiments provided in this application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are merely illustrative. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of systems, modules and units can be electrical, mechanical or other forms.

[0095] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for inverting motor vehicle emissions based on road congestion index, characterized in that: The steps include: Obtaining historical data of a road congestion index within a target analysis area, and obtaining road congestion intervals and motor vehicle emission data based on the historical data, wherein the target analysis area is the area for analyzing motor vehicle emissions, and the road congestion index within the road congestion interval is recorded as the analysis congestion index; Preprocessing the motor vehicle emission data, and obtaining index analysis data corresponding to each analysis congestion index in the road congestion interval based on the preprocessing results; Establish a vehicle analysis model and train the vehicle analysis model based on the motor vehicle emission data and the index analysis data; record the vehicle analysis model trained based on all motor vehicle emission data as the emission analysis model, and obtain the congestion emission range for analyzing the congestion index; Based on the congestion emission intervals corresponding to all analyzed congestion indices, the emission analysis model, and the real-time road congestion index in the target analysis area, the motor vehicle emissions in the target analysis area are obtained.

2. The method for inverting motor vehicle emissions based on road congestion index according to claim 1, characterized in that: Obtain historical data on the road congestion index within the target analysis area, and based on the historical data, obtain road congestion intervals and motor vehicle emission data, including: Based on historical data of road congestion indexes recorded in the target analysis area, all recorded road congestion indexes in the target analysis area are obtained, and an interval consisting of the maximum and minimum values of all road congestion indexes is recorded as a road congestion interval; For any analysis congestion index in the road congestion interval, the monitoring data of all vehicles in the target analysis area corresponding to each time the analysis congestion index is recorded is recorded as the motor vehicle emission data corresponding to the analysis congestion index, wherein the same analysis congestion index may correspond to multiple motor vehicle emission data; Obtain all motor vehicle emission data corresponding to all analyzed congestion indices; Randomly obtain the motor vehicle emission data corresponding to the minimum analysis congestion index, and use AI image recognition to identify all motor vehicles in the motor vehicle emission data, and then record the average speed of all motor vehicles as the regular driving speed, where the minimum analysis congestion index is recorded as G.

3. The method for inverting motor vehicle emissions based on road congestion index according to claim 2, characterized in that: Preprocessing includes: Based on AI image recognition, all motor vehicles in the motor vehicle emission data are identified and recorded in sequence as recorded motor vehicle JD1 to recorded motor vehicle JD c ; For any recorded motor vehicle JD v , based on motor vehicle emission data, the motor vehicle JD will be recorded v The distance traveled in the target analysis area is recorded as L1, and the JD of the recorded motor vehicle is obtained. v Vehicle parameters, and based on the recorded motor vehicle JD v Vehicle parameter calculation record of motor vehicle JD v The emissions when driving L1 at normal speed are recorded as normal emissions.

4. The method for inverting motor vehicle emissions based on road congestion index according to claim 3, characterized in that: Preprocessing also includes: Based on record motor vehicle JD v Vehicle parameters and motor vehicle emission data are recorded in the motor vehicle JD v The driving status of the motor vehicle is recorded v Simulate driving in motor vehicle emission data and obtain and record motor vehicle JD after the simulation. v emissions and recorded as congestion emissions; Obtain the regular emissions and congestion emissions corresponding to all motor vehicles in the motor vehicle emission data; When any two motor vehicles A and B in the motor vehicle emission data are of the same vehicle type, the congestion emissions of motor vehicles A and B are adjusted to the average of the congestion emissions of the motor vehicle types.

5. The method for inverting motor vehicle emissions based on road congestion index according to claim 4, characterized in that: Preprocessing also includes: Obtain the conventional emissions and congestion emissions corresponding to all motor vehicles in all motor vehicle emission data; Any motor vehicle JD recorded in all motor vehicle emission data v : Establish a plane rectangular coordinate system and record it as the emission analysis coordinate system, where the X axis of the emission analysis coordinate system is a constant axis and the unit of the Y axis is L; record the JD of the motor vehicle v The average value of the conventional emissions in all motor vehicle emission data is recorded as T, and Y = T is recorded as the JD of the recorded motor vehicle. v Conventional discharge line.

6. The method for inverting motor vehicle emissions based on road congestion index according to claim 5, characterized in that: Preprocessing also includes: The congestion index corresponding to the motor vehicle emission data of all motor vehicle emission data and the recorded motor vehicle JD v The congestion emission is marked as the horizontal and vertical coordinates in the emission analysis coordinate system, and the curve obtained by fitting all the marks is recorded as the congestion emission curve; For any point (X1, Y1) in the congestion emission curve, the point (X1, Y1-T) is recorded as the congestion difference point; the curve composed of all congestion difference points corresponding to the congestion emission curve is recorded as the congestion difference curve; Get all records of motor vehicle JD v The corresponding congestion difference curve; For any analytical congestion index α, the index analysis data corresponding to the analytical congestion index α is: the recorded motor vehicle JD recorded in all motor vehicle emission data and the reference emissions corresponding to each recorded motor vehicle JD, wherein the reference emissions are the vertical coordinate corresponding to the point in the congestion difference curve whose horizontal coordinate is the analytical congestion index α.

7. The method for inverting motor vehicle emissions based on road congestion index according to claim 6, characterized in that: Establishing a vehicle analysis model and training it based on motor vehicle emission data and index analysis data includes: Establish a vehicle analysis model, which includes AI image recognition and records all index analysis data; The vehicle analysis model includes a vehicle analysis method, which includes: entering the motor vehicle emission data into the vehicle analysis model, identifying all vehicles in the motor vehicle emission data based on AI image recognition, and obtaining all recorded motor vehicles JD appearing in the motor vehicle emission data in sequence based on the recognition results, and recording them as analyzed motor vehicles FJ, wherein motor vehicles of the same type in the analyzed motor vehicles FJ can be aggregated and counted.

8. The method for inverting motor vehicle emissions based on road congestion index according to claim 7, characterized in that: Vehicle analysis methods also include: The analysis congestion index corresponding to the motor vehicle emission data is recorded as D. When D is greater than G, the reference emissions corresponding to all analyzed motor vehicles FJ when the analysis congestion index is D are obtained based on the index analysis data, and Denote as the motor vehicle emissions corresponding to D, where b is the number of analyzed motor vehicles FJ, f i is the reference emission of the i-th type of analyzed motor vehicle FJ among all analyzed motor vehicles FJ, g i is the conventional emission of the i-th type of analyzed motor vehicle FJ among all analyzed motor vehicles FJ; When D is equal to G, the vehicle emissions corresponding to G are recorded as the sum of the conventional emissions of all analyzed vehicles FJ.

9. The method for inverting motor vehicle emissions based on road congestion index according to claim 8, characterized in that: The vehicle analysis model trained based on all motor vehicle emission data is recorded as the emission analysis model, and the congestion emission intervals for the congestion index analysis are obtained, including: Entering all motor vehicle emission data into the vehicle analysis model in sequence, and obtaining motor vehicle emission amounts corresponding to the analysis congestion index obtained after all motor vehicle emission data are analyzed by the vehicle analysis model; The vehicle analysis model at this time is recorded as the emission analysis model, and for any analysis congestion index, the interval consisting of the maximum and minimum values of all motor vehicle emissions corresponding to the analysis congestion index obtained by the vehicle analysis model is recorded as the congestion emission interval of the analysis congestion index.

10. The method for inverting motor vehicle emissions based on road congestion index according to claim 9, characterized in that: Based on the congestion emission intervals corresponding to all analyzed congestion indices, the emission analysis model, and the real-time road congestion index in the target analysis area, the motor vehicle emissions in the target analysis area are obtained, including: Obtain a real-time road congestion index in the target analysis area, denoted as K, and input K into the vehicle analysis model to obtain real-time index analysis data in the target analysis area; Enter the real-time index analysis data and K into the emission analysis model, and record the real-time motor vehicle emissions corresponding to K as R. When R is in the congestion emission range of K, R is recorded as the motor vehicle emissions in the target analysis area; When R is not in the congestion emission interval of K, the value with the smallest difference from R in the congestion emission interval of K is recorded as the motor vehicle emissions in the target analysis area.

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