A low-emission diesel vehicle online identification method and device based on remote monitoring data and a storage medium

Abstract

The application discloses a kind of low emission diesel vehicle online identification method, equipment and storage medium based on remote monitoring data, involve data processing field, solve the problem that traditional diesel vehicle emission monitoring is difficult to wide range, high efficiency real-time supervision.For obtaining the vehicle 12-month evaluation period vehicle-mounted operation data, after pre-processing, according to the monthly effective data time length m Statistics standard month, then according to the ladder rule, combined with NOx concentration average, concentration standard time length proportion, monthly three standard conditions of average specific emission, determine whether the vehicle is low emission diesel vehicle;Equipment is corresponding data acquisition, standard month determination, low emission vehicle determination unit, storage medium stores the program instruction for realizing the method.The application realizes low-cost real-time monitoring relying on remote monitoring data, the determination rule is scientific, reduces misjudgment, can accurately screen low emission vehicle, improves supervision efficiency, also provides technical support for future more stringent emission standard supervision.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a method, device and storage medium for online identification of low-emission diesel vehicles based on remote monitoring data. Background Technology

[0002] According to data from the "China Mobile Source Environmental Management Annual Report (2024)," in 2023, the total nitrogen oxide (NOx) emissions from motor vehicles in China were approximately 4.731 million tons. Among them, automobiles were the main contributor to NOx emissions, accounting for as much as 98.0%. Furthermore, the NOx emissions from diesel vehicles accounted for more than 87.8% of the total vehicle emissions. Therefore, it is evident that NOx emissions from diesel vehicles are a key focus of automobile pollutant prevention and emission regulation.

[0003] Currently, emissions monitoring of in-use diesel vehicles mainly relies on traditional testing methods, such as roadside spot checks and vehicle inspection stations. However, the large number of heavy-duty vehicles and the high volume of transit traffic make on-site supervision and testing by law enforcement personnel difficult, hindering the achievement of large-scale, efficient, and low-cost real-time emissions monitoring. Therefore, research on remote identification of low-emission diesel vehicles is particularly important.

[0004] In view of the above, it is necessary to improve the existing technology. Summary of the Invention

[0005] The purpose of this invention is to provide a method, device, and storage medium for online identification of low-emission diesel vehicles based on remote monitoring data, so as to accurately assess the NOx emission level of a vehicle based on on-board remote monitoring data, thereby determining whether the vehicle's emissions meet the requirements for low-emission diesel vehicles within the evaluation year.

[0006] To achieve the objectives of this invention, the technical solution provided by this invention is as follows: First aspect This invention provides an online identification method for low-emission diesel vehicles based on remote monitoring data, comprising the following steps: Step 1: Obtain the operational data uploaded by the vehicle data terminal during the vehicle evaluation period; Step 2: After preprocessing the operational data, perform validity judgment according to the first preset judgment rule to obtain the number of months with valid data. Step 3: Based on the number of months that meet the valid data requirements, judge according to the second preset judgment rule to obtain the result of whether the vehicle meets the requirements for low emission vehicles.

[0007] Furthermore, the operating data includes time, vehicle speed, coolant temperature, engine speed, indicated torque percentage, friction torque percentage, NOx concentration downstream of the SCR system, engine fuel flow rate, intake air flow rate, SCR pre-exhaust temperature, and reference torque.

[0008] Furthermore, the first preset judgment rule is to sequentially judge whether the monthly effective data duration of each month reaches the threshold m within an evaluation period of 12 months; if it reaches m, the data validity of that month meets the standard, and that month is recorded as a month with valid data meeting the standard, 20h≤m≤28h, and m is preferably 24h.

[0009] Furthermore, the second preset judgment rule is: (1) If the number of months with valid data does not exceed 6 months within a 12-month evaluation period, the vehicle does not meet the low-emission vehicle requirements for that evaluation period. (2) If the number of months with valid data compliance is 7-9 months within an evaluation period of 12 months, and the number of months with monthly NOx emissions compliance is not less than N-1 months, where N is the number of months with valid data compliance, then the vehicle is deemed to be compliant with emissions during the evaluation period and meets the requirements for low-emission vehicles during that evaluation period. (3) If the number of months with valid data meeting the standard is more than 10 months within an evaluation cycle of 12 months, and the number of months with monthly NOx emissions meeting the standard is not less than 9 months, then the vehicle is deemed to be compliant with emissions during the evaluation cycle and meets the requirements for low-emission vehicles during that evaluation cycle. The rules for determining monthly NOx emission compliance for vehicles are as follows, with the following determinations made based on valid monthly data: 1) The monthly average NOx concentration is less than ppm; 2) The percentage of time during which NOx concentration is less than θppm should be greater than [a certain percentage]. ; 3) The average NOx emission level is lower than β mg / kWh; For a vehicle to be deemed to have met the monthly NOx emission standard, both the NOx concentration and the NOx emission ratio must meet all three conditions mentioned above. Otherwise, the monthly NOx emission standard will not be met. The average NOx emission ratio is: ; In the formula, NOx emission average, mg / kWh; : No. t NOx mass flow rate per second, mg / s; ： No. t Transient power per second, kW; ; In the formula, : No. t The exhaust mass flow rate per second, kg / h, is calculated based on the fuel flow rate and the intake air flow rate. : No. t NOx concentration downstream of the SCR system, in ppm; The relative molecular mass of NOx; ： No. t seconds, kW; = ; In the formula, Reference torque, Nm; : No. t Indicated torque percentage in seconds, % : No. t Friction torque percentage per second, % : No. t Engine speed in seconds, rpm; in, The range is 70ppm ~ 90ppm, and the range of θ is 180ppm ~ 220ppm. The range is 85% to 95%, and the preferred range for β is 800 mg / kWh to 1200 mg / kWh.

[0010] in, =80ppm, θ=200ppm, =90%, β=1000mg / kWh.

[0011] Second aspect This invention provides an online identification device for low-emission diesel vehicles based on remote monitoring data, comprising the following units: a data acquisition unit, a valid data compliance month determination unit, and a low-emission vehicle determination unit; The data acquisition unit is used to acquire the operating data uploaded by the vehicle data terminal during the vehicle evaluation period; The effective data compliance month judgment unit is used to preprocess the running data and then judge its validity according to the first preset judgment rule to obtain the effective data compliance month. The low-emission vehicle judgment unit is used to judge whether a vehicle meets the low-emission vehicle requirements based on the number of months that the valid data meets the standard, according to the second preset judgment rule.

[0012] Furthermore, the operating data includes time, vehicle speed, coolant temperature, engine speed, indicated torque percentage, friction torque percentage, NOx concentration downstream of the SCR system, engine fuel flow rate, intake air flow rate, SCR pre-exhaust temperature, and reference torque.

[0013] Furthermore, the first preset judgment rule is to sequentially judge whether the monthly effective data duration of each month reaches the threshold m within an evaluation period of 12 months; if it reaches m, the data validity of that month meets the standard, and that month is recorded as a month with valid data meeting the standard, 20h≤m≤28h, and m is preferably 24h.

[0014] Furthermore, the second preset judgment rule is: (1) If the number of months with valid data does not exceed 6 months within a 12-month evaluation period, the vehicle does not meet the low-emission vehicle requirements for that evaluation period. (2) If the number of months with valid data compliance is 7-9 months within an evaluation period of 12 months, and the number of months with monthly NOx emissions compliance is not less than N-1 months, where N is the number of months with valid data compliance, then the vehicle is deemed to be compliant with emissions during the evaluation period and meets the requirements for low-emission vehicles during that evaluation period. (3) If the number of months with valid data meeting the standard is more than 10 months within an evaluation cycle of 12 months, and the number of months with monthly NOx emissions meeting the standard is not less than 9 months, then the vehicle is deemed to be compliant with emissions during the evaluation cycle and meets the requirements for low-emission vehicles during that evaluation cycle. The rules for determining monthly NOx emission compliance for vehicles are as follows, with the following determinations made based on valid monthly data: 1) The monthly average NOx concentration is less than ppm; 2) The percentage of time during which NOx concentration is less than θppm should be greater than [a certain percentage]. ; 3) The average NOx emission level is lower than β mg / kWh; For a vehicle to be deemed to have met the monthly NOx emission standard, both the NOx concentration and the NOx emission ratio must meet all three conditions mentioned above. Otherwise, the monthly NOx emission standard will not be met. The average NOx emission ratio is: ; In the formula, NOx emission average, mg / kWh; : No. t NOx mass flow rate per second, mg / s; ： No. t Transient power per second, kW; ; In the formula, : No. t The exhaust mass flow rate per second, kg / h, is calculated based on the fuel flow rate and the intake air flow rate. : No. t NOx concentration downstream of the SCR system, in ppm; The relative molecular mass of NOx; ： No. t seconds, kW; = ; In the formula, Reference torque, Nm; : No. t Indicated torque percentage in seconds, % : No. t Friction torque percentage per second, % : No. t Engine speed in seconds, rpm; in, The range is 70ppm ~ 90ppm, and the range of θ is 180ppm ~ 220ppm. The range is 85% to 95%, and the preferred range for β is 800 mg / kWh to 1200 mg / kWh.

[0015] Third aspect The present invention provides a computer-readable storage medium having a computer program / instruction stored thereon, which, when executed by a processor, implements the aforementioned method for online identification of low-emission diesel vehicles based on remote monitoring data.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention performs online analysis based on vehicle-mounted remote monitoring data, avoiding the lag of traditional road spot checks or inspection stations, and realizing large-scale, low-cost real-time monitoring of diesel vehicle emissions; Among them, a tiered judgment rule is used to balance data integrity and emission fluctuations, thereby reducing misjudgments; (2) Data preprocessing and validity rules are used to ensure a solid analytical foundation; monthly emission determination is based on three conditions: average NOx concentration, duration ratio, and average emission ratio, to improve the robustness of the results. In summary, the technical solution proposed in this invention, through comprehensive analysis of NOx concentration and NOx emission ratio, achieves accurate and efficient screening of low-emission diesel vehicles. Furthermore, this method involves fewer characteristic parameters in the calculation, enabling low-emission in-use diesel vehicles for real-time remote prediction at low cost. Vehicles that meet emission requirements within the evaluation period can be exempted from regular environmental testing, significantly improving the efficiency of emission supervision. Attached Figure Description

[0017] Figure 1 This is a schematic flowchart of the online identification method for low-emission diesel vehicles based on remote monitoring data provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the vehicle monthly NOx emission compliance determination process provided in an embodiment of the present invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0019] It should be noted that the acquisition of data and collection of information in this application are legal, compliant, or obtained with the consent of the subject of the data collection.

[0020] This invention provides a method and technology for remote online identification of low-emission diesel vehicles, enabling low-cost, high-precision real-time remote screening of such vehicles and improving the efficiency of emission supervision. This is particularly important for accurately implementing vehicle inspection system reforms and achieving scientific and efficient automotive environmental supervision. The technical framework of this invention is not only applicable to vehicle supervision under current emission standards, but its core idea of ​​long-term, dynamic emission evaluation based on remote monitoring data can also provide technical support for the compliance management of in-use vehicles under future stricter emission standards (such as China VII).

[0021] like Figure 1 , Figure 2 As shown, this embodiment of the invention provides an online identification method for low-emission diesel vehicles based on remote monitoring data, including the following steps: Step 1: Obtain the operational data uploaded by the vehicle data terminal during the vehicle evaluation period; The operating data includes time, vehicle speed, coolant temperature, engine speed, indicated torque percentage, friction torque percentage, NOx concentration downstream of the SCR system, engine fuel flow, intake air flow, and exhaust temperature before SCR. In addition, torque (this data is available in the system when the vehicle is registered) should also be considered.

[0022] Step 2: After preprocessing the running data, the validity is judged according to the first preset judgment rule to obtain the number of months with valid data. It should be noted that the data retained after data preprocessing is the valid data.

[0023] The preprocessing method is as follows: Eliminate invalid operating conditions: Based on the vehicle sensor dew point protection mechanism, invalid data with coolant temperature below 70℃ and NOx emission concentration greater than 2500ppm are deleted; at the same time, non-operating condition data with engine speed below 400rpm are also deleted.

[0024] Regeneration status data processing: Filter out data on vehicles in DPF regeneration status to ensure the validity of emissions assessment results.

[0025] Singularity removal and data repair: Remove singular points from the dataset; for single points and a small number of discrete invalid values, use the interpolation averaging method to complete the data repair.

[0026] The first preset judgment rule is to sequentially judge whether the monthly effective data duration reaches the threshold m within a 12-month evaluation period; if it reaches m, the data validity of that month meets the standard, and that month is recorded as a month with valid data meeting the standard, and vehicle NOx emission compliance can be judged. Wherein, 20h ≤ m ≤ 28h, and m is preferably 24h.

[0027] Step 3: Based on the number of months that meet the valid data requirements, judge according to the second preset judgment rule to obtain the result of whether the vehicle meets the requirements for low emission vehicles.

[0028] The second preset judgment rule is that within a 12-month evaluation cycle, based on the number of months in which valid data meets the standards, if the number of months in which emissions meet the requirements meets the requirements of Table 1, then the vehicle is judged to be compliant with emissions during the evaluation cycle, i.e., a low-emission vehicle; otherwise, it does not meet the requirements for a low-emission vehicle during the evaluation cycle.

[0029] Given that vehicle remote monitoring data may be missing and actual emissions may fluctuate, this invention takes into account both data integrity and emission volatility to ensure the stability and reliability of the evaluation results. Based on the statistical analysis of a large amount of historical remote monitoring data of diesel vehicles throughout the year, the following two judgment conditions are set: (1) the monthly stable valid data is not lower than the threshold m; (2) on the basis of the valid data meeting the standard, the step-by-step judgment rules shown in Table 1 are used to judge low-emission vehicles within the evaluation period.

[0030] Table 1. Step-by-step judgment rules for low-emission vehicles in the evaluation cycle.

[0031] Among these measures, monthly NOx emission compliance for vehicles is determined, and the following criteria are applied to the valid monthly data: 1) The monthly average NOx concentration is less than ppm; 2) The percentage of time during which NOx concentration is less than θppm should be greater than [a certain percentage]. ; 3) The average NOx emission is lower than β mg / kWh.

[0032] For a vehicle to be deemed to meet the low-emission requirements for a given month, both NOx concentration and NOx emission ratio must meet all three conditions mentioned above. Otherwise, the monthly NOx emissions will not meet the monthly compliance requirements. The average NOx emission ratio is: ; In the formula, NOx emission average, mg / kWh; : No. t NOx mass flow rate per second, mg / s; ： No. t Transient power per second, kW.

[0033] ; In the formula, : No. t The exhaust mass flow rate per second, kg / h, is calculated based on the fuel flow rate and the intake air flow rate. : No. t NOx concentration downstream of the SCR system, in ppm; The relative molecular mass of NOx; ： No. t seconds, kW; = ; In the formula, Reference torque, Nm; : No. t Indicated torque percentage in seconds, % : No. t Friction torque percentage per second, % : No. t Engine speed in seconds, rpm.

[0034] Based on comparative analysis of historical operating data from a large number of compliant diesel vehicles, the optimal ranges for each threshold are determined as follows: The range is 70ppm ~ 90ppm, and the range of θ is 180ppm ~ 220ppm. The range is 85% to 95%, and the range of β is 800 mg / kWh to 1200 mg / kWh.

[0035] A particularly preferred embodiment is: =80ppm, θ=200ppm, =90%, β=1000mg / kWh.

[0036] In addition, embodiments of the present invention provide an online identification device for low-emission diesel vehicles based on remote monitoring data, including the following units: a data acquisition unit, a valid data compliance month determination unit, and a low-emission vehicle determination unit; The data acquisition unit is used to acquire the operating data uploaded by the vehicle data terminal during the vehicle evaluation period; The effective data compliance month judgment unit is used to preprocess the running data and then judge its validity according to the first preset judgment rule to obtain the effective data compliance month. The low-emission vehicle judgment unit is used to judge whether a vehicle meets the low-emission vehicle requirements based on the number of months that the valid data meets the standard, according to the second preset judgment rule.

[0037] In addition, the present invention provides a computer-readable storage medium storing a computer program / instruction thereon, which, when executed by a processor, implements the aforementioned method for online identification of low-emission diesel vehicles based on remote monitoring data.

[0038] Finally, it should be noted that the above embodiments are merely illustrative and explanatory of the present invention, and are not intended to limit the present invention to the scope of the described embodiments. Furthermore, those skilled in the art will understand that the present invention is not limited to the above embodiments, and many more variations and modifications can be made based on the teachings of the present invention, all of which fall within the scope of protection claimed by the present invention.

Claims

1. A method for online identification of low-emission diesel vehicles based on remote monitoring data, characterized in that, Includes the following steps: Step 1: Obtain the operational data uploaded by the vehicle data terminal during the vehicle evaluation period; Step 2: After preprocessing the operational data, perform validity judgment according to the first preset judgment rule to obtain the number of months with valid data. Step 3: Based on the number of months that meet the valid data requirements, judge according to the second preset judgment rule to obtain the result of whether the vehicle meets the requirements for low emission vehicles.

2. The online identification method for low-emission diesel vehicles based on remote monitoring data according to claim 1, characterized in that, The operating data includes time, vehicle speed, coolant temperature, engine speed, indicated torque percentage, friction torque percentage, NOx concentration downstream of the SCR system, engine fuel flow rate, intake air flow rate, SCR front exhaust temperature, and reference torque.

3. The online identification method for low-emission diesel vehicles based on remote monitoring data according to claim 2, characterized in that, The first preset judgment rule is to judge whether the monthly effective data duration of each month reaches the threshold m within an evaluation period of 12 months; if it reaches m, the data validity of that month meets the standard, and that month is recorded as a month with valid data. 20h≤m≤28h, and m is preferably 24h.

4. The online identification method for low-emission diesel vehicles based on remote monitoring data according to claim 3, characterized in that, The second preset judgment rule is: (1) If the number of months with valid data does not exceed 6 months within a 12-month evaluation period, the vehicle does not meet the low-emission vehicle requirements for that evaluation period. (2) If the number of months with valid data compliance is 7-9 months within an evaluation period of 12 months, and the number of months with monthly NOx emissions compliance is not less than N-1 months, where N is the number of months with valid data compliance, then the vehicle is deemed to be compliant with emissions during the evaluation period and meets the requirements for low-emission vehicles during that evaluation period. (3) If the number of months with valid data meeting the standard is 10 or more within a 12-month evaluation period, and the number of months with monthly NOx emissions meeting the standard is not less than 9 months, then the vehicle is deemed to be compliant with emissions during the evaluation period and meets the requirements for low-emission vehicles during that evaluation period. The rules for determining monthly NOx emission compliance for vehicles are as follows, with the following determinations made based on valid monthly data: 1) The monthly average NOx concentration is less than ppm; 2) The percentage of time during which NOx concentration is less than θppm should be greater than [a certain percentage]. ; 3) The average NOx emission level is lower than β mg / kWh; For a vehicle to be deemed to have met the monthly NOx emission standard, both the NOx concentration and the NOx emission ratio must meet all three conditions mentioned above. Otherwise, the monthly NOx emission standard will not be met. The average NOx emission ratio is: ； In the formula, NOx emission average, mg / kWh; : No. t NOx mass flow rate per second, mg / s; ： No. t Transient power per second, kW; ； In the formula, : No. t The exhaust mass flow rate per second, kg / h, is calculated based on the fuel flow rate and the intake air flow rate. : No. t NOx concentration downstream of the SCR system, in ppm; The relative molecular mass of NOx; ： No. t seconds, kW; = ； In the formula, Reference torque, Nm; : No. t Indicated torque percentage in seconds, % : No. t Friction torque percentage per second, % : No. t Engine speed in seconds, rpm; in, The range is 70ppm ~ 90ppm, and the range of θ is 180ppm ~ 220ppm. The range is 85% to 95%, and the preferred range for β is 800 mg / kWh to 1200 mg / kWh.

5. The online identification method for low-emission diesel vehicles based on remote monitoring data according to claim 4, characterized in that, =80ppm,θ=200ppm, =90%, β=1000mg / kWh.

6. An online identification device for low-emission diesel vehicles based on remote monitoring data, characterized in that, It includes the following units: data acquisition unit, effective data compliance month determination unit, and low emission vehicle determination unit; The data acquisition unit is used to acquire the operating data uploaded by the vehicle data terminal during the vehicle evaluation period; The effective data compliance month judgment unit is used to preprocess the running data and then judge its validity according to the first preset judgment rule to obtain the effective data compliance month. The low-emission vehicle judgment unit is used to judge whether a vehicle meets the low-emission vehicle requirements based on the number of months that the valid data meets the standard, according to the second preset judgment rule.

7. The online identification device for low-emission diesel vehicles based on remote monitoring data according to claim 6, characterized in that, The operating data includes time, vehicle speed, coolant temperature, engine speed, indicated torque percentage, friction torque percentage, NOx concentration downstream of the SCR system, engine fuel flow rate, intake air flow rate, SCR front exhaust temperature, and reference torque.

8. The online identification device for low-emission diesel vehicles based on remote monitoring data according to claim 7, characterized in that, The first preset judgment rule is to judge whether the monthly effective data duration of each month reaches the set threshold m within an evaluation period of 12 months; if it reaches m, the data validity of that month meets the standard, and the month is recorded as a month with valid data. 20h≤m≤28h, and m is preferably 24h.

9. The online identification device for low-emission diesel vehicles based on remote monitoring data according to claim 8, characterized in that, The second preset judgment rule is: (1) If the number of months with valid data does not exceed 6 months within a 12-month evaluation period, the vehicle does not meet the low-emission vehicle requirements for that evaluation period. (2) If the number of months with valid data compliance is 7-9 months within an evaluation period of 12 months, and the number of months with monthly NOx emissions compliance is not less than N-1 months, where N is the number of months with valid data compliance, then the vehicle is deemed to be compliant with emissions during the evaluation period and meets the requirements for low-emission vehicles during that evaluation period. (3) If the number of months with valid data meeting the standard is more than 10 months within an evaluation cycle of 12 months, and the number of months with monthly NOx emissions meeting the standard is not less than 9 months, then the vehicle is deemed to be compliant with emissions during the evaluation cycle and meets the requirements for low-emission vehicles during that evaluation cycle. The rules for determining monthly NOx emission compliance for vehicles are as follows, with the following determinations made based on valid monthly data: 1) The monthly average NOx concentration is less than ppm; 2) The percentage of time during which NOx concentration is less than θppm should be greater than [a certain percentage]. ; 3) The average NOx emission level is lower than β mg / kWh; For a vehicle to be deemed to have met the monthly NOx emission standard, both the NOx concentration and the NOx emission ratio must meet all three conditions mentioned above. Otherwise, the monthly NOx emission standard will not be met. The average NOx emission ratio is: ； In the formula, NOx emission average, mg / kWh; : No. t NOx mass flow rate per second, mg / s; ： No. t Transient power per second, kW; ； In the formula, : No. t The exhaust mass flow rate per second, kg / h, is calculated based on the fuel flow rate and the intake air flow rate. : No. t NOx concentration downstream of the SCR system, in ppm; The relative molecular mass of NOx; ： No. t seconds, kW; = ； In the formula, Reference torque, Nm; : No. t Indicated torque percentage in seconds, % : No. t Friction torque percentage per second, % : No. t Engine speed in seconds, rpm; in, The range is 70ppm ~ 90ppm, and the range of θ is 180ppm ~ 220ppm. The range is 85% to 95%, and the preferred range for β is 800 mg / kWh to 1200 mg / kWh.

10. A computer-readable storage medium having a computer program / instructions stored thereon, characterized in that, When the computer program / instruction is executed by the processor, it implements the online identification method for low-emission diesel vehicles based on remote monitoring data as described in any one of claims 1-5.

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