Remote sensing based method and device for monitoring pollutant emissions of gasoline vehicles

Abstract

This invention relates to the field of exhaust gas monitoring technology, specifically a method and device for monitoring gasoline vehicle pollutant emissions based on remote sensing. Based on emission detection data of pollutants from non-compliant gasoline vehicles, a pollutant concentration-vehicle speed relationship model is constructed; a pollutant concentration-specific power relationship model is also constructed; the collected measured concentration values ​​of pollutant emissions from the gasoline vehicle under test are compared with the first pollutant emission limit; the collected measured concentration values ​​of pollutant emissions from the gasoline vehicle under test are compared with the second pollutant emission limit; based on the results of the first and second level determinations, the monitoring results of the exhaust pollutant emissions from the gasoline vehicle under test are obtained. This constructs a dynamic environmental monitoring system combining remote sensing monitoring of exhaust gases with regular on-line testing, which is beneficial for timely and efficient screening of high-pollution, high-emission vehicles using remote sensing monitoring.

Description

Technical Field

[0001] This invention relates to the field of exhaust gas monitoring technology, specifically to a method and device for monitoring pollutant emissions from gasoline vehicles based on remote sensing. Background Technology

[0002] With the rapid increase in the number of motor vehicles, motor vehicles have become a significant source of air pollution in my country. To comply with relevant regulations on air pollution prevention and control, remote sensing monitoring and other technologies are being gradually adopted to conduct random emissions checks on motor vehicles on the road, and a three-tiered network of national, provincial, and municipal remote sensing monitoring platforms is being constructed. However, according to existing standards, the criteria for judging exhaust emissions through remote sensing monitoring are fixed values, unrelated to vehicle mass, speed, power-to-weight ratio, etc. This hinders the timely and efficient screening of high-polluting and high-emission vehicles by remote sensing monitoring, and fails to effectively curb excessive emissions from motor vehicles.

[0003] Meanwhile, the supervision and management of motor vehicle pollutant emissions still relies on traditional periodic on-line testing to strictly inspect vehicle exhaust emissions. This involves using a simplified transient operating condition method to simulate the transient load conditions of vehicles on the road, and employing devices such as a five-gas analyzer to collect the original emission gas concentration values ​​of gasoline vehicles. The mass of exhaust pollutants per unit distance traveled is then calculated, enabling real-time analysis of the emission mass of gaseous pollutants under road load conditions, comprehensively evaluating the vehicle's emission status, and estimating the total mass of motor vehicle pollutant emissions. However, due to various factors affecting the load conditions of motor vehicles during actual road driving, the detection data from the simplified transient operating condition method cannot be correlated and matched with remote sensing monitoring data, resulting in a weak correlation between periodic on-line testing and remote sensing monitoring.

[0004] Therefore, researching an environmental dynamic supervision system that combines remote sensing monitoring of exhaust emissions with regular online testing using technologies such as remote sensing is of great significance for screening high-pollution and high-emission vehicles and improving the dynamic supervision of vehicle operation status. Summary of the Invention

[0005] To address the aforementioned problems, this invention provides a remote sensing-based method for monitoring pollutant emissions from gasoline vehicles, the steps of which are as follows:

[0006] S1. Based on the emission test data of pollutants from substandard gasoline vehicles, obtain the real-time value of the gas emission concentration of pollutants from substandard gasoline vehicles, as well as the real-time vehicle speed and absorption power during the online test.

[0007] S2. Select the emission detection data of several unqualified gasoline vehicles, and construct a relationship model of pollutant concentration - vehicle speed based on the real-time value of the pollutant gas emission concentration and the real-time vehicle speed; and calculate the specific power of the unqualified gasoline vehicles respectively to obtain the average value of the specific power, and construct a relationship model of pollutant concentration - specific power based on the real-time value of the pollutant gas emission concentration and the average value of the specific power;

[0008] S3. Based on the relationship model of pollutant concentration - vehicle speed, obtain the real-time vehicle speed value when the gasoline vehicle to be tested is driving, calculate the first pollutant emission limit at the current vehicle speed, and perform a primary determination on the measured concentration value of the pollutant emission of the gasoline vehicle to be tested and the first pollutant emission limit;

[0009] S4. Based on the relationship model of pollutant concentration - specific power, obtain the real-time specific power value of the gasoline vehicle to be tested, calculate the second pollutant emission limit at the current specific power, and perform a secondary determination on the measured concentration value of the pollutant emission of the gasoline vehicle to be tested and the second pollutant emission limit;

[0010] S5. According to the determination results of the primary determination and the secondary determination of the pollutant emission, obtain the monitoring result of the tail gas pollutant emission of the gasoline vehicle to be tested.

[0011] The above-mentioned S5 obtains the monitoring result of the tail gas pollutant emission of the gasoline vehicle to be tested according to the determination results of the primary determination and the secondary determination of the pollutant emission. The specific method is as follows:

[0012] If the determination results of both the primary determination and the secondary determination of the pollutant emission are unqualified, it is determined that the tail gas pollutant emission detection of the gasoline vehicle to be tested is unqualified;

[0013] If any one of the determination results of the primary determination and the secondary determination of the pollutant emission is qualified, a warning is given for the tail gas pollutant emission of the gasoline vehicle to be tested, and it is tentatively determined that the tail gas pollutant emission detection of the gasoline vehicle to be tested is qualified;

[0014] If the determination results of both the primary determination and the secondary determination of the pollutant emission are qualified, it is determined that the tail gas pollutant emission detection of the gasoline vehicle to be tested is qualified.

[0015] As a specific implementation manner, in the above-mentioned S2, constructing a relationship model of pollutant concentration - vehicle speed based on the real-time value of the pollutant gas emission concentration and the real-time vehicle speed specifically includes:

[0016] Constructing a relationship model of HC concentration of pollutant gas and vehicle speed as:

[0017] HC s = 133.39645 - 0.06673·V - 0.04936·V 2 + 0.00251·V 3 - 0.0000276257·V4 ,

[0018] In the formula, HC s V represents the real-time value of hydrocarbon concentration; V represents the real-time vehicle speed.

[0019] The relationship between CO concentration and vehicle speed is constructed as follows:

[0020] CO s =0.84045+0.00833·V-0.00203·V 2 +0.000205939·V 3 -0.00000582668·V 4 +0.0000000501023·V 5 ,

[0021] In the formula, CO s V represents the real-time value of carbon monoxide concentration; V represents the real-time vehicle speed.

[0022] The relationship model between NOx concentration and vehicle speed is constructed as follows:

[0023] NOx s =293.62039-5.04275·V+0.11845·V 2 +0.01126·V 3 ,

[0024] In the formula, NOx s V represents the real-time concentration of nitrogen and hydrogen compounds; V represents the real-time vehicle speed.

[0025] In step S2, the power-to-specific power of the substandard gasoline vehicles is calculated to obtain the average power-to-specific power:

[0026]

[0027]

[0028] In the formula, VSP is the specific power; P a For absorbed power; m r The baseline weight for substandard gasoline vehicles; VSP is the average specific power; i Let be the specific power of the i-th substandard gasoline vehicle; n represents the total number of substandard gasoline vehicles.

[0029] In step S2, a pollutant concentration-specific power relationship model is constructed based on the real-time value of the pollutant gas emission concentration and the average value of the specific power, specifically including:

[0030] The relationship model between HC concentration and specific power of pollutant gas is constructed as follows:

[0031]

[0032] Among them, HC p This represents the real-time value of hydrocarbon concentration. This represents the average specific power.

[0033] The relationship model between the concentration of pollutant gas CO and specific power is constructed as follows:

[0034]

[0035] Among them, CO p This is the real-time value of carbon monoxide concentration. This represents the average specific power.

[0036] The relationship model between NOx concentration and specific power of pollutant gas is constructed as follows:

[0037]

[0038] Among them, NOx p This represents the real-time concentration of nitrogen and hydrogen compounds. This represents the average specific power.

[0039] As a specific implementation method, S3 obtains the real-time vehicle speed value of the actual gasoline vehicle during driving based on the pollutant concentration-vehicle speed relationship model, and calculates the pollutant emission limit at the current vehicle speed. The specific method is as follows:

[0040] Substitute the real-time vehicle speed value into the pollutant concentration-vehicle speed relationship model constructed in step S2, and calculate the real-time values ​​of hydrocarbon concentration, carbon monoxide concentration, and nitrogen oxide concentration at the current vehicle speed, respectively, and use them as the first pollutant emission limit for determining unqualified gasoline vehicles.

[0041] The measured concentration values ​​of the collected pollutant emissions are compared with the first pollutant emission limit for primary determination. If the measured concentration value of any pollutant emission at the current vehicle speed is greater than or equal to the corresponding first pollutant emission limit, the primary determination result is unqualified.

[0042] S4, based on the pollutant concentration-specific power relationship model, obtains the real-time specific power value of the actual gasoline vehicle and calculates the pollutant emission limit two at the current vehicle speed. The specific method is as follows:

[0043] Substitute the real-time value of specific power into the pollutant concentration-specific power relationship model constructed in step S2, and calculate the real-time values ​​of hydrocarbon concentration, carbon monoxide concentration, and nitrogen-hydrogen compound concentration under the current specific power, and use them as the second pollutant emission limit for determining unqualified gasoline vehicles.

[0044] The measured concentration values ​​of the collected pollutant emissions are compared with the second pollutant emission limit for secondary judgment. If the measured concentration value of any pollutant emission under the current specific power is greater than or equal to the corresponding second pollutant emission limit, the secondary judgment result is unqualified.

[0045] The present invention also provides a remote sensing-based gasoline vehicle pollutant emission monitoring device, including a processor and a memory, wherein the processor executes program data stored in the memory to implement the remote sensing-based gasoline vehicle pollutant emission monitoring method described above.

[0046] The beneficial effects are:

[0047] (1) Based on the non-compliant pollutant emission test data of gasoline vehicles that are regularly tested, this application analyzes the correlation between exhaust gas remote sensing monitoring data and regularly tested data, and constructs a pollutant concentration calculation model for high-emission vehicles based on vehicle speed and power ratio, so as to realize the dynamic judgment standard of exhaust gas remote sensing monitoring based on different vehicle conditions.

[0048] (2) This application uses remote sensing monitoring to obtain the vehicle speed and specific power information of gasoline vehicles on the road, and determines the pollutant concentration limit of the exhaust gas of the tested vehicle based on the constructed pollutant model. It is convenient, efficient and easy to implement, which is conducive to the promotion of remote sensing monitoring.

[0049] (3) This application constructs an environmental dynamic supervision system that combines exhaust gas remote sensing monitoring with regular online testing. This is conducive to timely and efficient screening of high-pollution and high-emission vehicles by remote sensing monitoring, thereby effectively curbing the excessive emission behavior of motor vehicles and improving the real-time dynamic supervision of vehicle operation status. Attached Figure Description

[0050] Figure 1 This is a flowchart of a remote sensing-based method for monitoring pollutant emissions from gasoline vehicles.

[0051] Figure 2 This is a schematic diagram of a simplified transient operating system.

[0052] Figure 3 This is a flowchart illustrating the monitoring results of pollutant emissions from gasoline vehicle exhaust. Detailed Implementation

[0053] Exemplary embodiments of this disclosure will now be described in more detail with reference to the accompanying drawings.

[0054] Example 1

[0055] See Figure 1 This application provides a remote sensing-based method for monitoring pollutant emissions from gasoline vehicles, the specific implementation steps of which are as follows:

[0056] S1. Based on the emission test data of pollutants from substandard gasoline vehicles, obtain the real-time value of the gas emission concentration of pollutants from substandard gasoline vehicles, as well as the real-time vehicle speed and absorption power during the online test.

[0057] like Figure 2 As shown, a simplified transient operating condition system is used to simulate the acceleration inertia and road resistance of a gasoline vehicle, and to perform online testing of gasoline vehicle exhaust emissions. This simplified transient operating condition system includes a chassis dynamometer, a five-gas analyzer, a flow analyzer, and a computational control system. The chassis dynamometer is used to simulate the transient operating load of the vehicle while it is driving on the road. The high-precision five-gas analyzer's sampling probes acquire the original exhaust gases CO, CO2, HC, and NO from the gasoline vehicle. X The O2 concentration was measured, and the flow rate, pressure, temperature, and dilution oxygen concentration of the dilution gas drawn into the flow measurement tube by the fan were measured using a flow analyzer (the dilution gas consisted of a mixture of exhaust gas remaining after excluding the exhaust gas entering the five-gas analyzer and ambient air). The dilution ratio of the gas before and after dilution was calculated by measuring the O2 concentration of the original gas emitted by the gasoline vehicle and the O2 concentration of the mixed dilution gas, thus obtaining the actual exhaust gas flow rate. The exhaust emission pollutants CO, CO2, HC, and NO were calculated using a computational control system. X Emissions per unit driving distance are used to obtain pollutant emission test data for gasoline vehicles.

[0058] Based on the pollutant emission test data of gasoline vehicles, the test data of gasoline vehicles that failed the online test were screened out. By extracting the sampling data second by second, the sampling number of the gasoline vehicle, the real-time value of HC (ppm), CO (%), CO2 (%), NOx (ppm) of the pollutant gas emission concentration of the non-compliant gasoline vehicle, and the real-time vehicle speed and absorption power of the gasoline vehicle during the road driving simulation of the online test were obtained.

[0059] S2. Select emission test data of pollutants from several unqualified gasoline vehicles, and construct a pollutant concentration-vehicle speed relationship model based on the real-time value of pollutant gas emission concentration and real-time vehicle speed; calculate the specific power of the unqualified gasoline vehicles to obtain the average specific power, and construct a pollutant concentration-specific power relationship model based on the real-time value of pollutant gas emission concentration and the average specific power.

[0060] S2.1 Construct a pollutant concentration-vehicle speed relationship model based on the real-time values ​​of pollutant gas emission concentrations and real-time vehicle speed, specifically including:

[0061] The relationship between the concentration of HC pollutant gas in substandard gasoline vehicles and vehicle speed is constructed as follows:

[0062] HC s =133.39645-0.06673·V-0.04936·V2 +0.00251·V 3 -0.0000276257·V 4 ,

[0063] In the formula, HC s V represents the real-time value of hydrocarbon concentration; V represents the real-time vehicle speed.

[0064] The model for the relationship between CO concentration and vehicle speed in substandard gasoline vehicles is as follows:

[0065] CO s =0.84045+0.00833·V-0.00203·V 2 +0.000205939·V 3 -0.00000582668·V 4 +0.0000000501023·V 5 ,

[0066] In the formula, CO s V represents the real-time value of carbon monoxide concentration; V represents the real-time vehicle speed.

[0067] The relationship between NOx concentration and vehicle speed in substandard gasoline vehicles is constructed as follows:

[0068] NOx s =293.62039-5.04275·V+0.11845·V 2 +0.01126·V 3 ,

[0069] In the formula, NOx s V represents the real-time concentration of nitrogen and hydrogen compounds; V represents the real-time vehicle speed.

[0070] S2.2. Based on the power absorption of the substandard gasoline vehicle, calculate the specific power of the substandard gasoline vehicle with the corresponding vehicle's reference mass. The calculation formula is as follows:

[0071]

[0072] In the formula, VSP is the specific power; P a For absorbed power; m r The baseline weight for substandard gasoline vehicles;

[0073] Based on the number of unqualified gasoline vehicles selected, the average power-to-weight ratio was calculated as follows:

[0074]

[0075] In the formula, VSP is the average specific power; iLet be the specific power of the i-th substandard gasoline vehicle; n represents the total number of substandard gasoline vehicles.

[0076] S2.3. Construct a pollutant concentration-specific power relationship model based on the real-time values ​​of pollutant gas emission concentrations and the average specific power, specifically including:

[0077] The relationship model between the HC concentration and specific power of substandard gasoline vehicles is constructed as follows:

[0078]

[0079] Among them, HC p This represents the real-time value of hydrocarbon concentration. This represents the average specific power.

[0080] The relationship model between CO concentration and specific power in substandard gasoline vehicles is constructed as follows:

[0081]

[0082] Among them, CO p This is the real-time value of carbon monoxide concentration. This represents the average specific power.

[0083] Constructing the NO pollutant gas from substandard gasoline vehicles x The relationship between concentration and specific power is modeled as follows:

[0084]

[0085] Among them, NOx p This represents the real-time concentration of nitrogen and hydrogen compounds. This represents the average specific power.

[0086] S3. Based on the pollutant concentration-vehicle speed relationship model, obtain the real-time vehicle speed value of the gasoline vehicle under test, calculate the pollutant emission limit one at the current vehicle speed, and make a first-level judgment by comparing the collected measured concentration value of pollutant emissions from the gasoline vehicle under test with the pollutant emission limit one.

[0087] The real-time speed of the gasoline vehicle under test is obtained through remote sensing measurement. This real-time speed value is then substituted into the pollutant concentration-vehicle speed relationship model constructed in step S2 to calculate the HC concentration at the current vehicle speed. s CO s NOx s The real-time concentrations of each pollutant are used as the first pollutant emission limit for determining non-compliant gasoline vehicles. Simultaneously, the measured concentrations of pollutant emissions from gasoline vehicles are obtained through remote sensing, and the collected measured concentrations of pollutant emissions (HC) are used as the basis for determining non-compliant gasoline vehicles. a CO a NOxa A primary determination is made based on the pollutant emission limit I. If the measured concentration of any pollutant emission at the current vehicle speed is greater than or equal to the corresponding pollutant emission limit I, i.e., HC... a ≥HC s or CO a ≥CO s or NOx a ≥NOx s If so, the first-level judgment result is unqualified.

[0088] S4. Based on the pollutant concentration-specific power relationship model, obtain the real-time value of the specific power of the gasoline vehicle under test, calculate the second pollutant emission limit under the current specific power, and make a secondary judgment by comparing the collected measured concentration value of pollutant emissions from the gasoline vehicle under test with the second pollutant emission limit.

[0089] The real-time specific power of the gasoline vehicle under test is obtained by remote sensing measurement. This real-time specific power value is then substituted into the pollutant concentration-specific power relationship model constructed in step S2 to calculate the HC content at the current specific power. p CO p NOx p This will be used as the second pollutant emission limit for determining non-compliant vehicles. The collected pollutant emission concentration values ​​(HC) will be used as the reference. a CO a NOx a A secondary determination is made based on the pollutant emission limit II. If the measured concentration of any pollutant emission under the current specific power is greater than or equal to the corresponding pollutant emission limit II, i.e., HC... a ≥HC p or CO a ≥CO p or NOx a ≥NOx p If so, the secondary judgment result is unqualified.

[0090] S5. Based on the results of the first-level and second-level determinations of pollutant emissions, the monitoring results of the exhaust pollutant emissions of the gasoline vehicle under test are obtained.

[0091] like Figure 3 As shown, based on the results of the first and second level determinations of pollutant emissions from gasoline vehicles, if both the first and second level determinations of pollutant emissions are unqualified, then the gasoline vehicle under test is determined to be unqualified in the exhaust pollutant emission test.

[0092] If either the primary or secondary determination of pollutant emissions is qualified, that is, the primary determination result of the vehicle speed of the gasoline vehicle under test is unqualified, but the secondary determination result of the power ratio is qualified; or the primary determination result of the vehicle speed of the gasoline vehicle under test is qualified, but the secondary determination result of the power ratio is unqualified, then an early warning will be issued for the exhaust pollutant emissions of the gasoline vehicle under test, and the exhaust pollutant emissions test of the gasoline vehicle under test will be temporarily deemed qualified.

[0093] If both the primary and secondary assessments of pollutant emissions are satisfactory, then the gasoline vehicle under test is deemed to have passed the exhaust pollutant emission test.

[0094] Example 2

[0095] A remote sensing-based method for monitoring gasoline vehicle pollutant emissions was developed. Pollutant emission data from 30 substandard gasoline vehicles were collected during online monitoring. Relationship models between pollutant concentration and vehicle speed, and between pollutant concentration and specific power, were constructed for these substandard vehicles. The detection data used to construct these models are shown in Table 1. Table 1 presents the pollutant concentration, real-time vehicle speed, and specific power of the 30 substandard gasoline vehicles.

[0096]

[0097]

[0098] The real-time vehicle speed and specific power of the gasoline vehicle under test were measured using remote sensing on actual roads. These values ​​were then substituted into the constructed pollutant concentration-vehicle speed relationship model and the pollutant concentration-specific power relationship model, respectively. The pollutant emission limits at the current vehicle speed (first limit) and at the current specific power (second limit) were calculated. The measured concentration values ​​of pollutant emissions from the gasoline vehicle under test were then used to determine the emission levels. The results are shown in Tables 2 and 3.

[0099] Table 2 shows the data of 10 gasoline vehicles that failed the pollutant emission monitoring tests conducted by remote sensing during actual road driving.

[0100]

[0101]

[0102] Table 3 shows the data of 10 gasoline vehicles that failed the pollutant emission monitoring tests conducted by remote sensing during actual road driving.

[0103]

[0104]

[0105]

[0106] According to Tables 2 and 3, the first-level judgment result based on the pollutant concentration-vehicle speed relationship model and the second-level judgment result based on the pollutant concentration-specific power relationship model are consistent and both are unqualified. Therefore, it is determined that the monitoring result of the exhaust pollutant emissions of the gasoline vehicle under test measured by remote sensing is unqualified.

[0107] The above description is merely a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations, additions, or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

[0108] Furthermore, the present invention also provides a remote sensing-based gasoline vehicle pollutant emission monitoring device, including a processor and a memory, wherein the processor executes program data stored in the memory to implement the remote sensing-based gasoline vehicle pollutant emission monitoring method.

Claims

1. A method for monitoring pollutant emissions from gasoline vehicles based on remote sensing, characterized in that, Including: S1. Obtain the real-time value of the pollutant gas emission concentration of the unqualified gasoline vehicle and the real-time vehicle speed and absorption power during on-line detection according to the emission detection data of the pollutants of the unqualified gasoline vehicle. S2. Select the emission detection data of pollutants of several unqualified gasoline vehicles, and construct a relationship model of pollutant concentration - vehicle speed based on the real-time value of the pollutant gas emission concentration and the real-time vehicle speed; and calculate the specific power of the unqualified gasoline vehicle respectively to obtain the average specific power value, and construct a relationship model of pollutant concentration - specific power based on the real-time value of the pollutant gas emission concentration and the average specific power value. The construction of the relationship model of pollutant concentration - specific power based on the real-time value of the pollutant gas emission concentration and the average specific power value specifically includes: Construct the relationship model of the HC concentration of the pollutant gas and the specific power as: , in, This represents the real-time value of hydrocarbon concentration. This represents the average specific power. Construct the relationship model of the CO concentration of the pollutant gas and the specific power as: , in, This is the real-time value of carbon monoxide concentration. This represents the average specific power. Construct the relationship model of the NOx concentration of the pollutant gas and the specific power as: , in, This represents the real-time concentration of nitrogen and hydrogen compounds. This represents the average specific power. S3. Based on the relationship model of pollutant concentration - vehicle speed, obtain the real-time vehicle speed value when the待测 gasoline vehicle is driving, calculate the first pollutant emission limit value at the current vehicle speed, and perform a primary determination on the measured concentration value of the pollutants emitted by the待测 gasoline vehicle collected and the first pollutant emission limit value. S4. Based on the relationship model of pollutant concentration - specific power, obtain the real-time specific power value of the待测 gasoline vehicle, calculate the second pollutant emission limit value at the current specific power, and perform a secondary determination on the measured concentration value of the pollutants emitted by the待测 gasoline vehicle collected and the second pollutant emission limit value. S5. Obtain the monitoring result of the exhaust pollutant emission of the待测 gasoline vehicle according to the determination results of the primary determination and the secondary determination of the pollutant emission.

2. The method for monitoring pollutant emissions from gasoline vehicles according to claim 1, characterized in that, The specific method for S5 to obtain the monitoring result of the exhaust pollutant emission of the待测 gasoline vehicle according to the determination results of the primary determination and the secondary determination of the pollutant emission is as follows: If the determination results of both the primary determination and the secondary determination of the pollutant emission are unqualified, it is determined that the exhaust pollutant emission detection of the待测 gasoline vehicle is unqualified. If any one of the determination results of the primary determination and the secondary determination of the pollutant emission is qualified, a warning is given for the exhaust pollutant emission of the待测 gasoline vehicle, and the exhaust pollutant emission detection of the待测 gasoline vehicle is tentatively determined to be qualified. If the determination results of both the primary determination and the secondary determination of the pollutant emission are qualified, it is determined that the exhaust pollutant emission detection of the待测 gasoline vehicle is qualified.

3. The method for monitoring pollutant emissions from gasoline vehicles according to claim 1, characterized in that, The specific method for constructing the relationship model of pollutant concentration - vehicle speed based on the real-time value of the pollutant gas emission concentration and the real-time vehicle speed in S2 specifically includes: Construct the relationship model of the HC concentration of the pollutant gas and the vehicle speed as: , In the formula, This represents the real-time value of hydrocarbon concentration; This represents the real-time vehicle speed. Construct the relationship model of the CO concentration of the pollutant gas and the vehicle speed as: , In the formula, This is the real-time value of carbon monoxide concentration; This represents the real-time vehicle speed. Construct the relationship model of the NOx concentration of the pollutant gas and the vehicle speed as: , In the formula, This represents the real-time concentration of nitrogen and hydrogen compounds. This represents the real-time vehicle speed.

4. The method for monitoring pollutant emissions from gasoline vehicles according to claim 1, characterized in that, The average specific power value obtained by calculating the specific power of the unqualified gasoline vehicle respectively in S2 is: , , In the formula, Specific power; To absorb power; The baseline weight for substandard gasoline vehicles; This represents the average specific power. Let be the power-to-weight ratio of the i-th substandard gasoline vehicle; n This indicates the total number of substandard gasoline vehicles.

5. The method for monitoring pollutant emissions from gasoline vehicles according to claim 3, characterized in that, The specific method for S3 to obtain the real-time vehicle speed value when the actual gasoline vehicle is driving based on the relationship model of pollutant concentration - vehicle speed and calculate the first pollutant emission limit value at the current vehicle speed is as follows: Substitute the real-time vehicle speed value into the pollutant concentration-vehicle speed relationship model constructed in step S2, and calculate the real-time values ​​of hydrocarbon concentration, carbon monoxide concentration, and nitrogen oxide concentration at the current vehicle speed, respectively, and use them as the first pollutant emission limit for determining unqualified gasoline vehicles.

6. The method for monitoring pollutant emissions from gasoline vehicles according to claim 5, characterized in that, The measured concentration values ​​of the collected pollutant emissions are compared with the first pollutant emission limit for primary determination. If the measured concentration value of any pollutant emission at the current vehicle speed is greater than or equal to the corresponding first pollutant emission limit, the primary determination result is unqualified.

7. The method for monitoring pollutant emissions from gasoline vehicles according to claim 1, characterized in that, S4, based on the pollutant concentration-specific power relationship model, obtains the real-time specific power value of the actual gasoline vehicle and calculates the pollutant emission limit two at the current vehicle speed. The specific method is as follows: Substitute the real-time value of specific power into the pollutant concentration-specific power relationship model constructed in step S2, and calculate the real-time values ​​of hydrocarbon concentration, carbon monoxide concentration, and nitrogen-hydrogen compound concentration under the current specific power, and use them as the second pollutant emission limit for determining unqualified gasoline vehicles.

8. The method for monitoring pollutant emissions from gasoline vehicles according to claim 7, characterized in that, The measured concentration values ​​of the collected pollutant emissions are compared with the second pollutant emission limit for secondary judgment. If the measured concentration value of any pollutant emission under the current specific power is greater than or equal to the corresponding second pollutant emission limit, the secondary judgment result is unqualified.

9. A remote sensing-based gasoline vehicle pollutant emission monitoring device, characterized in that, The system includes a processor and a memory, wherein the processor executes program data stored in the memory to implement the remote sensing-based gasoline vehicle pollutant emission monitoring method according to any one of claims 1-8.

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