Method and device for acquiring pollutant emission of diesel truck, medium and equipment

Abstract

The invention discloses a method and device for obtaining the pollutant emission amount of a diesel truck, a storage medium and computer equipment, and the method comprises the steps that the type of the diesel truck in a target area and a first parameter of each diesel truck are obtained, and the first parameters comprise the load coefficient of the diesel truck and the annual average mileage of the diesel truck in the target area; the inventory of the diesel trucks in the target area is determined; according to the types of the diesel trucks, pollutant emission factors corresponding to all the diesel trucks are obtained, and the pollutant emission factors are obtained through actual measurement of the diesel trucks of the same type in the target area; and according to the first parameter of each diesel truck and the corresponding pollutant emission factor, calculating the annual emission amount of each pollutant of each diesel truck in the target area. According to the method, the annual discharge amount of each pollutant of each diesel truck in the target area can be accurately calculated, and pollution caused by each diesel truck in the target area can be accurately reflected.

Description

Technical Field

[0001] The present application relates to the field of motor vehicle environmental protection, and in particular to a method and device for obtaining pollutant emissions from diesel trucks, a storage medium, and a computer device. Background Art

[0002] With the increasing number of motor vehicles in my country, diesel trucks, as an important type of road freight, produce exhaust gas that causes a lot of pollution to the outdoor environment. However, current research lacks relevant research on pollutants produced by diesel trucks.

[0003] At present, the research methods for motor vehicle pollutant emissions are usually to use model simulation calculations, or to obtain pollutant emission factors based on guidelines, and then calculate using the obtained pollutant emission factors. The above methods can only estimate the total amount of pollutants emitted by motor vehicles, but are not accurate enough to accurately calculate the emission of each pollutant of each diesel truck, and cannot reflect the pollution situation of each diesel truck in the local area. Summary of the invention

[0004] In view of this, the present application provides a method and device for obtaining pollutant emissions from diesel trucks, a storage medium, and a computer device, which can accurately calculate the annual emissions of each pollutant from each diesel truck in the target area, and accurately reflect the pollution caused by each diesel truck in the target area.

[0005] According to one aspect of the present application, a method for obtaining pollutant emissions from a diesel truck is provided, comprising:

[0006] Obtain the types of diesel trucks in the target area and first parameters of each diesel truck, wherein the first parameters include the load factor of the diesel truck, the average annual mileage of the diesel truck in the target area, and the number of diesel trucks in the target area;

[0007] According to the type of diesel truck, obtain the pollutant emission factor corresponding to each diesel truck, wherein the pollutant emission factor is obtained by actual measurement of the same type of diesel trucks in the target area;

[0008] The annual emission of each pollutant of each diesel truck in the target area is calculated according to the first parameter of each diesel truck and the corresponding pollutant emission factor.

[0009] According to another aspect of the present application, a device for obtaining pollutant emissions from a diesel truck is provided, characterized in that it comprises:

[0010] A first acquisition module is used to acquire the type of diesel trucks in the target area and first parameters of each diesel truck, wherein the first parameters include the load factor of the diesel truck, the average annual mileage of the diesel truck in the target area, and the number of diesel trucks in the target area;

[0011] A second acquisition module is used to acquire, according to the type of the diesel truck, a pollutant emission factor corresponding to each diesel truck, wherein the pollutant emission factor is obtained by actual measurement of the same type of diesel trucks in the target area;

[0012] The calculation module is used to calculate the annual emission of each pollutant of each diesel truck in the target area according to the first parameter of each diesel truck and the corresponding pollutant emission factor.

[0013] According to another aspect of the present application, a storage medium is provided, on which a computer program is stored, and when the program is executed by a processor, the method for obtaining the pollutant emissions of a diesel truck is implemented.

[0014] According to another aspect of the present application, a computer device is provided, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the processor implements the above-mentioned method for obtaining the pollutant emissions of diesel trucks when executing the program.

[0015] Through the above-mentioned technical scheme, the present application provides a method and device for obtaining pollutant emissions from diesel trucks, a storage medium, and a computer device. By obtaining the types of diesel trucks in the target area, as well as the first parameters and pollutant emission factors of each diesel truck, the annual emissions of each pollutant of each diesel truck in the target area can be accurately calculated, thereby accurately reflecting the pollution caused by each diesel truck in the target area.

[0016] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0018] Figure 1 A schematic diagram of a process for obtaining pollutant emissions from a diesel truck provided in an embodiment of the present application is shown;

[0019] Figure 2 A schematic diagram showing a structure for analyzing an exhaust gas sample by an exhaust gas measurement system provided in an embodiment of the present application is shown;

[0020] Figure 3 A schematic diagram of a structure for analyzing an exhaust gas sample by a particulate matter analyzer provided in an embodiment of the present application is shown;

[0021] Figure 4 A schematic diagram of a structure for analyzing an exhaust gas sample through a particulate matter sampler provided in an embodiment of the present application is shown;

[0022] Figure 5 A schematic diagram of the structure of a device for obtaining pollutant emissions from a diesel truck provided in an embodiment of the present application is shown;

[0023] Figure 6 A schematic diagram of the device structure of a computer device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0024] The present application will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0025] In this embodiment, a method for obtaining the pollutant emission of a diesel truck is provided. Figure 1 As shown, the method includes:

[0026] Step 101, obtain the types of diesel trucks in the target area and the first parameters of each diesel truck, the first parameters including the load factor of the diesel truck, the average annual mileage of the diesel truck in the target area, and the number of diesel trucks in the target area.

[0027] In this embodiment, the target area can be a selected geographical area. Specifically, if the user wants to calculate the diesel vehicle pollutant emissions in a certain geographical area, the user can set the geographical area as the target area. This application does not limit the target area. For example, if the user wants to calculate the diesel vehicle pollutant emissions in the Liaozhongnan urban agglomeration, the Liaozhongnan urban agglomeration can be used as the target area. The load factor of a diesel truck is used to indicate the different loads of a diesel truck. For example, the load factor corresponding to a half-load diesel truck is 0.5, and the load factor corresponding to a full-load diesel truck is 1.

[0028] In this embodiment, the fleet information and activity level data of heavy diesel trucks in the city can be obtained by questionnaire and road measurement. The fleet information and activity level data include: vehicle type, load condition and mileage, activity range, and number of vehicles. The fleet information and activity level data are processed to obtain the load condition corresponding to each type of diesel truck of a certain sample. The relationship between the load and load factor of the diesel truck is established in advance according to the load condition corresponding to each type of diesel truck. The load of the diesel truck is obtained from the processed survey results, and the load factor of each type of diesel truck of a certain sample is obtained through the corresponding relationship between the load and the load factor, thereby estimating the load factor of each type of diesel truck. The activity range in the fleet information and activity level data is processed to obtain data corresponding to the target area, and then the annual average mileage of each type of diesel truck of a certain sample within the target range and the number of vehicles in the target area are obtained according to the mileage, vehicle type and number of vehicles in the fleet information and activity level data, and then the annual average mileage of each type of diesel truck in the target area and the number of vehicles in the target area are estimated.

[0029] Step 102, according to the type of diesel truck, obtain the pollutant emission factor corresponding to each diesel truck, and the pollutant emission factor is obtained by actual measurement of the same type of diesel trucks in the target area.

[0030] In this embodiment, the pollutant corresponding to each diesel truck may be at least one of CO, NO, NO2, and PM. The pollutant emission factor is the amount of pollutant emitted per unit distance, in g / km.

[0031] In this embodiment, diesel trucks of various types in the target area may be tested in advance to obtain pollutant emission factors corresponding to each type of diesel truck.

[0032] Step 103, calculating the annual emission of each pollutant of each diesel truck in the target area according to the first parameter of each diesel truck and the corresponding pollutant emission factor.

[0033] In this embodiment, the annual emission of each pollutant of each diesel truck in the target area is calculated based on the load factor of each diesel truck, the average annual mileage in the target area, the number of trucks in the target area, and the pollutant emission factor.

[0034] Specifically, taking the pollutant NO, the type of diesel truck as a heavy-duty diesel truck of the National V emission standard, and the target area as the Liaozhongnan urban agglomeration as an example, the annual NO emissions of heavy-duty diesel trucks of the National V emission standard in the Liaozhongnan urban agglomeration are calculated based on the load factor of heavy-duty diesel trucks of the National V emission standard, the average annual mileage of heavy-duty diesel trucks of the National V emission standard in the target area, the number of heavy-duty diesel trucks of the National V emission standard in the target area, and the emission factor of the pollutant NO of heavy-duty diesel trucks of the National V emission standard as 11.336g / km.

[0035] By applying the technical solution of this embodiment, by obtaining the types of diesel trucks in the target area, as well as the first parameters and pollutant emission factors of each diesel truck, the annual emissions of each pollutant of each diesel truck in the target area can be accurately calculated, accurately reflecting the pollution caused by each diesel truck in the target area.

[0036] In the embodiment of the present application, optionally, the method further includes:

[0037] Step 201, gridding the target area using road network distribution grid data to obtain a plurality of target grids.

[0038] In this embodiment, the target area is gridded using the road network distribution grid data, that is, the target area is gridded using GIS software to obtain a plurality of target grids.

[0039] Step 202, obtaining a second parameter corresponding to each target grid, wherein the second parameter includes a road slip coefficient and a road length in an area where the target grid is located, and a traffic flow of each type of diesel truck in the target grid per unit time.

[0040] In this embodiment, taking the target area as the Liaozhongnan urban agglomeration as an example, the local road slippery coefficient in the local information is collected according to the natural environment characteristics of the Liaozhongnan urban agglomeration, that is, the road slippery coefficient of each location in the target area is obtained. According to the position correspondence between the target area and the target grid, the road slippery coefficient corresponding to each target grid is obtained. In addition, the road length of each target grid and the traffic volume of each diesel truck in each target grid per unit time are obtained.

[0041] Step 203 , calculating a target emission amount according to a second parameter corresponding to any target grid, and a load factor and a target pollutant emission factor of a target type of diesel truck in any target grid.

[0042] Based on the road slipperiness coefficient and road length corresponding to any target grid, the traffic volume of the target type of diesel trucks in the target grid per unit time, and the load factor and target pollutant emission factor of the target type of diesel trucks in the target grid, the target emission amount, that is, the target emission amount of the target pollutants of the target type of diesel trucks in the target grid, is calculated.

[0043] Specifically, taking the target grid m as an example, assuming that the nth diesel truck is the target type of diesel truck, and the target pollutant is NO. According to the road slipperiness coefficient and road length corresponding to the target grid m, the traffic volume of the nth diesel truck in the target grid m per unit time, and the load factor and NO emission factor of the nth diesel truck in the target grid m, the target emission, i.e., the NO emission of the nth diesel truck in the target grid m, is calculated.

[0044] By applying the technical solution of this embodiment, the target emission of the target pollutant of each target grid can be accurately calculated, wherein the target grid is obtained after the target area is gridded, and the target pollutant is one of the pollutants generated by the target type of diesel vehicles. Each target grid corresponds to a part of the target area, that is, the pollution situation of each local area is reflected according to the target emission.

[0045] In the embodiment of the present application, optionally, the method further includes: calculating the target emission amount using the following formula:

[0046] E ijw =a ij ×V i ×Q ij ×L i ×EF jw

[0047] Among them, E ijw is the target emission of the wth pollutant of the jth diesel truck in the target grid i, a ij is the load factor of the j-th diesel truck in the target grid i, V i is the road slipperiness coefficient of the target grid i, Q ij is the traffic volume of the j-th diesel truck in the target grid i per unit time, L i is the road length of the target grid i, EF jw is the wth pollutant emission factor of the jth diesel truck. The road slippery coefficient is used to indicate the slipperiness of the road.

[0048] It should be noted that E ijwIt is the target emission of the wth pollutant of the jth diesel truck in the target grid i, that is, the emission of the wth pollutant of the jth diesel truck in the target grid i per unit time, in g / h. Among them, the target grid i can be any grid that needs to calculate the target emission after the target area is gridded. The diesel truck types mentioned above include the jth diesel truck. The pollutants measured by the jth diesel truck include the wth pollutant. Q ij is the traffic volume of the jth diesel truck in the target grid i in unit time. This application does not limit the unit time, which can be 1 hour or half an hour, and can be limited according to the needs. For the sake of ease of understanding, the unit time will be described as 1 hour in the following. ij , in units of vehicles / h. Li is the road length in the area where the target grid i is located, in units of km. EF jw It is the emission factor of the wth pollutant of the jth diesel truck, and its unit is g / (km / vehicle).

[0049] In the embodiment of the present application, optionally, the method further includes:

[0050] Step 301 : determining a target time period from each time period, and determining a first average traffic flow of each type of diesel truck in each target grid within the target time period.

[0051] In this embodiment, taking dividing a day into multiple time periods evenly as an example, a target time period is determined from the divided time periods, and a first average traffic flow of each type of diesel truck in each target grid within the target time period is determined.

[0052] Step 302, obtaining the road congestion delay index corresponding to the area where each target grid is located in the remaining time periods except the target time period, and obtaining the second average traffic flow of each type of diesel truck in each target grid in the remaining time periods based on the first average traffic flow and the road congestion delay index.

[0053] In this embodiment, according to the road congestion delay index = travel time through traffic congestion / travel time through free flow, the road congestion delay index corresponding to the area where each target grid is located in the remaining time periods except the target time period is obtained. And according to the first average traffic flow and the road congestion delay index, the second average traffic flow of each type of diesel truck in each target grid in the remaining time periods is estimated. For example, the road congestion delay index corresponding to the target time period is a, the first average traffic flow of α-type diesel trucks is A, and the road congestion delay index corresponding to a certain remaining time period is b, then the second average traffic flow of α-type diesel trucks corresponding to the remaining time period is A*b / a.

[0054] Step 303: Obtain the traffic flow of each diesel truck in a unit time in each target grid according to the first average traffic flow and the second average traffic flow of each diesel truck in each target grid.

[0055] According to the first average traffic flow and the second average traffic flow of each diesel truck in each target grid, the total traffic flow is first obtained, and then the total traffic flow is averaged to obtain the traffic flow of each diesel truck in the target grid per unit time.

[0056] In the embodiment of the present application, optionally, step 301 includes:

[0057] Step 301 - 1 : for any target grid, obtain the video acquisition data of the target time period in the target grid.

[0058] In this embodiment, the video acquisition data of a target time period in any target grid is acquired through a road camera.

[0059] Step 302-2: Analyze the video acquisition data to obtain a first average traffic flow of diesel trucks of the target type in any target grid.

[0060] In this embodiment, the video acquisition data is analyzed by the counter software to obtain the traffic flow corresponding to each vehicle type in the target time period in any target grid, and the traffic flow of the target type of diesel trucks, that is, the first average traffic flow, is obtained. Specifically, the counter software can be used to analyze the video acquisition data frame by frame to find all the diesel trucks contained in each frame, and the diesel trucks corresponding to different frames in the target time period are aggregated and deduplicated, and the number of diesel trucks of each type is further counted, and then the first average traffic flow of the target type of diesel trucks can be determined.

[0061] In the embodiment of the present application, optionally, the method further comprises: calculating the annual emission of each pollutant of each diesel truck in the target area using the following formula:

[0062] E an =a n ×P n ×EF n ×VKT n ×10 6

[0063] Among them, E an is the annual emission of any pollutant of the nth type of diesel truck in the target area, a n is the load factor of the nth diesel truck in the target area, P n is the number of the nth type of diesel trucks in the target area, EF nis the emission factor of any pollutant of the nth diesel truck in the target area, VKT n is the average annual mileage of the nth type of diesel trucks in the target area.

[0064] It should be noted that the nth type of diesel truck in the target area is one of the types of diesel trucks in the target area. n EF is the number of diesel trucks of the nth type in the target area, in units of vehicles. n VKT is the emission factor of any pollutant of the nth diesel truck in the target area, in g / (km / vehicle). n is the average annual mileage of the nth type of diesel trucks in the target area, in km.

[0065] In the embodiment of the present application, optionally, in step 102, “according to the type of diesel truck, obtaining the pollutant emission factor corresponding to each diesel truck” includes:

[0066] Step 102-1, collecting exhaust gas samples of each type of diesel truck when it is traveling in the target area through a probe, and the probe is placed at a horizontal position of the exhaust pipe of the diesel truck.

[0067] In this embodiment, exhaust gas samples of each type of diesel truck are collected by the probe when it is traveling in the target area, that is, exhaust gas samples of each type of measured diesel truck are collected by the probe when it is traveling in the target area, and each type of measured diesel truck corresponds one-to-one to each type of diesel truck to be calculated in step 103.

[0068] The physical structure corresponding to the exhaust gas sample collection, such as Figure 2-Figure 4As shown. During the actual measurement, the tailpipe of each type of diesel truck can be regarded as having three parts. Among them, the first part is the upper end of the tailpipe in contact with the air, the second part is the lower end of the tailpipe connected to the exhaust gas component of the diesel truck, and the third part is the middle section connected to the upper end and the lower end of the tailpipe. The upper end and the lower end of the tailpipe are preferably perpendicular to the ground. The middle section is the horizontal position of the tailpipe, and the middle section and the upper end of the tailpipe, and the middle section and the lower end of the tailpipe are both at an angle of about 90 degrees. Among them, the connection between the middle section and the upper end and the lower end of the tailpipe can be connected with an arc. The tailpipe 7 of each type of diesel truck is connected to the probe 5, the probe 10 and the probe 11. The probe 5 is connected to one end of the exhaust gas measurement system 3 through the sampling pipeline 4, and the other end of the exhaust gas measurement system 3 is connected to one end of the laptop computer 1 through the data transmission line 2, and the other end of the laptop computer 1 is connected to the power cord 6. The probe 10 is connected to one end of the particle analyzer 8 through a sampling line 12, and the other end of the particle analyzer 8 is connected to one end of the laptop computer 1 through a data transmission line 13, and the other end of the laptop computer 1 is connected to the power line 6. The probe 11 is connected to one end of the particle sampler 9 through a sampling line 14, and the other end of the particle sampler 9 is connected to one end of the laptop computer 1 through a data transmission line 15, and the other end of the laptop computer 1 is connected to the power line 6.

[0069] This application does not limit the types of probes, exhaust gas measurement systems, particulate matter analyzers, and particulate matter samplers, which can be selected according to actual needs.

[0070] Step 102-2, the collected exhaust gas samples are processed by the exhaust gas measurement system, the particulate matter analyzer and the particulate matter sampler to obtain the pollutant emission factors corresponding to each type of diesel truck.

[0071] The exhaust gas sample collected is analyzed by the exhaust gas measurement system for CO\CO2\NO\NO2\HC\O2 and other gases. The particle analyzer is used to analyze the particles ranging from a few nanometers to 2.5 microns in the exhaust gas sample collected. The particle sampler is used to sample the particles in the exhaust gas sample and then analyze the PM 10 and PM 2.5 Through the particulate matter analysis, the pollutant emission factors corresponding to each type of diesel truck are obtained.

[0072] By applying the technical solution of this embodiment, placing the probe at a horizontal position of the exhaust pipe of the diesel truck to collect exhaust gas samples, the accuracy of the amount of the collected exhaust gas samples can be ensured.

[0073] Further, as a refinement and extension of the specific implementation of the above embodiment, in order to fully illustrate the specific implementation process of this embodiment, another method for obtaining the pollutant emissions of a diesel truck is provided, the method comprising:

[0074] Step 401, the annual emission of each pollutant of each diesel truck in the target area is calculated by formula (1), and formula (1) is as follows:

[0075] E an =a n ×P n ×EF n ×VKT n ×10 6 (1)

[0076] Among them, E an is the annual emission of any pollutant of the nth type of diesel truck in the target area, a n is the load factor of the nth diesel truck in the target area, P n is the number of diesel trucks of type n in the target area, EF n VKT is the emission factor of any pollutant of the nth diesel truck in the target area, n is the average annual mileage of the nth type of diesel trucks in the target area.

[0077] In this embodiment, the method of obtaining the parameters in formula (1) includes: taking the Liaozhongnan urban agglomeration in the target area as a cold region as an example. The urban heavy-duty diesel truck fleet information and activity level data can be obtained through questionnaires and road measurements. The above fleet information and activity level data include: vehicle type, load conditions and mileage, activity range, and number of vehicles. The above fleet information and activity level data are processed to obtain the load conditions corresponding to a certain sample of each type of diesel truck. The relationship between the load and the load factor of the diesel truck is established in advance based on the load conditions corresponding to each type of diesel truck. Obtain the load of the diesel truck, and obtain the relationship between the load and the load factor of the diesel truck. Through the corresponding relationship between the above load and the load factor, the load factor of each type of diesel truck in a certain sample is obtained, thereby estimating the load factor of each type of diesel truck, that is, the load factor a of the nth type of diesel truck in the target area in the above formula (1). nThe fleet information and activity level data are processed to obtain the average annual mileage of each diesel truck type within the target range and the number of trucks in the target area for a certain sample, and then the average annual mileage of each diesel truck type within the target range and the number of trucks in the target area are estimated. The estimated average annual mileage of each diesel truck type within the target range is the number of trucks in the target area in the above formula (1), P = n The estimated average annual mileage of each type of diesel truck within the target range is VKT, which is the average annual mileage of the nth type of diesel truck in the target area in the above formula (1). n .

[0078] EF n is the emission factor of any pollutant of the nth type of diesel truck in the target area, which is obtained as follows:

[0079] Through Figure 2-4 The probes 5, 10 and 11 shown in the figure collect exhaust gas samples of each type of measured diesel truck when it is driving in the target area. The collected exhaust gas samples are analyzed for CO\CO2\NO\NO2\HC\O2 and other gases by the SEMTECH-DS portable exhaust gas measurement system to obtain the pollutant (CO, NO, NO2) emission factors corresponding to each type of diesel truck. The particles from a few nanometers to 2.5 microns in the collected exhaust gas samples are analyzed by the PPS Mi2 particulate matter analyzer, and the PM is measured by the HY 100WS high-load particulate matter sampler after the particle film is collected. 10 and PM 2.5 The particulate matter is analyzed to obtain the pollutant emission factors corresponding to each type of diesel truck.

[0080] Among them, the specific process of analyzing the PM2.5 samples obtained by the PPS Mi2 particle analyzer and the HY 100WS high-load particle sampler using the water-soluble ion analysis method includes:

[0081] Use a membrane gun to select diesel car samples and blank membranes of equal area, add them to the experimental bottles washed with deionized water, add 5ml of high-purity water, oscillate at constant temperature (20℃) for 35 minutes with an ultrasonic cleaner, filter with a 0.45μm microporous filter head, and transfer to a test tube for refrigeration. Use ion chromatography to analyze, perform qualitative analysis according to the different retention times corresponding to the ions, and use external standard method for quantitative analysis according to the ion peak area.

[0082] The weighed PM2.5 sample, i.e. the sampling membrane (Teflon membrane), is cut into pieces by elemental analysis and placed in a clean digestion tank. The digestion tank needs to be soaked in 5% HNO3 for 24 hours in advance and cleaned with high-purity water. 8mL of concentrated HNO3 and 2mL of 30% H2O2 are added in sequence, and then the digestion tank is tightened, and then the water is wiped with a paper towel to avoid scratches on the outside of the digestion tank. The digestion tank is placed in a microwave digestion instrument according to the compiled sequence for high-temperature digestion. The digestion heating program adopts a 3-level heating program. After the digestion is completed, take it out and cool it for 1 hour. Pour the cooled acid solution into a PP volumetric flask and dilute it to 50mL. The digestion tank is rinsed 3 times. The PP volumetric flask is soaked in 5% nitric acid for 24 hours in advance, and then cleaned with high-purity water. After the volume was fixed, the PM2.5 sample was shaken up and down several times, filtered through a 0.45μm microporous filter (Teflon material), stored in a sample tube for refrigeration, and finally measured by the Thermo Fisher Scientific Xseries2 inductively coupled plasma mass spectrometer (ICPMS). The test standard sample was Merck30 mixed standard, measured by external standard method, and two internal standards, Rh and Tb, were used to monitor the sensitivity of the signal, and the internal standard recovery rate was guaranteed to be 95%105% during the test.

[0083] Step 402, calculate the target emission amount by formula (2), which is as follows:

[0084] E ijw =a ij ×V i ×Q ij ×L i ×EF jw (2)

[0085] Among them, E ijw is the target hourly emission of the wth pollutant of the jth diesel truck in the target grid i, a ij is the load factor of the j-th diesel truck in the target grid i, V i is the road slipperiness coefficient of the target grid i, Q ij is the traffic volume of the j-th diesel truck in the target grid i per unit time, L i is the road length in the area where the target grid i is located, EF jw is the wth pollutant emission factor of the jth diesel truck.

[0086] In this embodiment, the method for obtaining the parameters in formula (2) includes: using GIS software to grid the target area to obtain multiple target grids. ijis the load factor of the jth diesel truck in the target grid i, and the value of the load factor is the same as the value in the above formula 1. By consulting the local information, the road slippery coefficient of each location in the current target area can be obtained. According to the position correspondence between the target grid and the target area, the road slippery coefficient V in the area where the target grid i is located is obtained. i . Get the road length L of the target grid i area i EF jw is the wth pollutant emission factor of the jth diesel truck, which is obtained in the same way as the pollutant emission factor in the above formula (1) and will not be repeated here.

[0087] Q ij is the traffic volume of the j-th diesel truck in the target grid i per unit time, which is obtained as follows:

[0088] The video acquisition data of the target time period in any target grid is obtained through the road camera. The video acquisition data is analyzed by the counter software to obtain the first average traffic flow of the target type (jth type) diesel trucks in the target grid i. According to the road delay index and the first average traffic flow in the target time period in each target grid i, the second average traffic flow of the jth type diesel truck in the remaining time period in the target grid i can be estimated. According to the first average traffic flow of the jth type diesel truck in the target grid i and the second average traffic flow of the jth type diesel truck in the target grid i as well as the target time period and the remaining time period, the traffic flow of the jth type diesel truck in the target grid i per hour can be obtained, that is, Q ij .

[0089] By applying the technical solution of this embodiment, the annual emission of each pollutant of each diesel truck in the target area is accurately calculated by obtaining the types of diesel trucks in the target area, as well as the first parameters and pollutant emission factors of each diesel truck, and the pollution caused by each diesel truck in the target area is accurately reflected. And the pollution situation in each local area is reflected according to the target emission.

[0090] Further, as Figure 1 The specific implementation of the method, the embodiment of the present application provides a device for obtaining the pollutant emissions of a diesel truck, such as Figure 5 As shown, the device comprises:

[0091] A first acquisition module is used to acquire the type of diesel trucks in the target area and first parameters of each diesel truck, wherein the first parameters include the load factor of the diesel truck, the average annual mileage of the diesel truck in the target area, and the number of diesel trucks in the target area;

[0092] A second acquisition module is used to acquire, according to the type of the diesel truck, a pollutant emission factor corresponding to each diesel truck, wherein the pollutant emission factor is obtained by actual measurement of the same type of diesel trucks in the target area;

[0093] The calculation module is used to calculate the annual emission of each pollutant of each diesel truck in the target area according to the first parameter of each diesel truck and the corresponding pollutant emission factor.

[0094] It should be noted that for other corresponding descriptions of the functional units involved in the device for obtaining the pollutant emission amount of a diesel truck provided in the embodiment of the present application, reference can be made to Figures 1 to 4 The corresponding description in the method will not be repeated here.

[0095] The present application also provides a computer device, which may be a personal computer, a server, a network device, etc. Figure 6 As shown, the computer device includes a bus, a processor, a memory and a communication interface, and may also include an input and output interface and a display device. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store location information. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the steps in each method embodiment are implemented.

[0096] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0097] In one embodiment, a computer-readable storage medium is provided. The computer-readable storage medium may be non-volatile or volatile, and stores a computer program thereon. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0098] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0099] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0100] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0101] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0102] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for obtaining pollutant emissions from diesel trucks, characterized in that: include: Obtain the types of diesel trucks in the target area and first parameters of each diesel truck, wherein the first parameters include the load factor of the diesel truck, the average annual mileage of the diesel truck in the target area, and the number of diesel trucks in the target area; According to the type of diesel truck, obtain the pollutant emission factor corresponding to each diesel truck, wherein the pollutant emission factor is obtained by actual measurement of the same type of diesel trucks in the target area; The annual emission of each pollutant of each diesel truck in the target area is calculated according to the first parameter of each diesel truck and the corresponding pollutant emission factor.

2. The method according to claim 1, characterized in that The method further comprises: Gridding the target area using road network distribution grid data to obtain a plurality of target grids; Obtaining a second parameter corresponding to each target grid, the second parameter including a road slipperiness coefficient and a road length in an area where the target grid is located, and a traffic flow rate of each type of diesel truck in the target grid per unit time; The target emission amount is calculated based on the second parameter corresponding to any target grid, and the load factor and target pollutant emission factor of the target type of diesel truck in any target grid.

3. The method according to claim 2, characterized in that The method further comprises: The target emissions are calculated using the following formula: AND ijw =a ij ×V i ×Q ij ×L i ×EF jw Among them, E ijw is the target emission of the wth pollutant of the jth diesel truck in the target grid i, a ij is the load factor of the j-th diesel truck in the target grid i, V i is the road slipperiness coefficient of the target grid i, Q ij is the traffic volume of the j-th diesel truck in the target grid i per unit time, L i is the road length of the target grid i, EF jw is the wth pollutant emission factor of the jth diesel truck.

4. The method according to claim 2 or 3, characterized in that: Before obtaining the second parameter corresponding to each target grid, the method further includes: Determine a target time period from each time period, and determine a first average traffic flow of each type of diesel truck in each target grid within the target time period; Obtaining a road congestion delay index corresponding to the area where each target grid is located in each time period other than the target time period, and obtaining a second average traffic flow of each type of diesel truck in each target grid in each time period according to the first average traffic flow and the road congestion delay index; According to the first average traffic flow and the second average traffic flow of each type of diesel truck in each target grid, the traffic flow of each type of diesel truck in the target grid per unit time is obtained.

5. The method according to claim 4, characterized in that The determining of a first average traffic flow of each type of diesel truck in each target grid within the target time period includes: For any target grid, obtain the video acquisition data of the target time period in the any target grid; The video acquisition data is analyzed to obtain a first average traffic flow of diesel trucks of the target type in any target grid.

6. The method according to claim 1, characterized in that The method further comprises: The annual emissions of each pollutant from each diesel truck in the target area are calculated using the following formula: AND an =a n ×P n ×EF n ×VKT n ×10 6 Among them, E a is the annual emission of any pollutant of the nth type of diesel truck in the target area, a n is the load factor of the nth diesel truck in the target area, P n is the number of the nth type of diesel trucks in the target area, EF n is the emission factor of any pollutant of the nth diesel truck in the target area, VKT n is the average annual mileage of the nth type of diesel trucks in the target area.

7. The method according to claim 1, characterized in that The step of obtaining, according to the type of diesel truck, the pollutant emission factor corresponding to each diesel truck comprises: Collect exhaust gas samples of each type of diesel truck when it is traveling in the target area by using a probe, wherein the probe is placed at a horizontal position on the exhaust pipe of the diesel truck; The collected exhaust gas samples are processed through the exhaust gas measurement system, particulate matter analyzer and particulate matter sampler to obtain the pollutant emission factors corresponding to each type of diesel truck.

8. A device for obtaining pollutant emissions from diesel trucks, characterized in that: include: A first acquisition module is used to acquire the type of diesel trucks in the target area and first parameters of each diesel truck, wherein the first parameters include the load factor of the diesel truck, the average annual mileage of the diesel truck in the target area, and the number of diesel trucks in the target area; A second acquisition module is used to acquire, according to the type of the diesel truck, a pollutant emission factor corresponding to each diesel truck, wherein the pollutant emission factor is obtained by actual measurement of the same type of diesel trucks in the target area; The calculation module is used to calculate the annual emission of each pollutant of each diesel truck in the target area according to the first parameter of each diesel truck and the corresponding pollutant emission factor.

9. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

10. A computer device comprising a storage medium, a processor, and a computer program stored in the storage medium and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

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