Gasoline car emission detection auditing system, method and equipment

Abstract

The invention discloses a gasoline car emission detection auditing system, method and equipment, and the system comprises a data receiving and preprocessing module which is used for receiving the basic information, emission detection process data and emission detection result data of a to-be-audited vehicle, and carrying out the integrity verification; the detection method matching module is used for matching a simple transient working condition method or a double-idle-speed method according to the basic information of the vehicle to be audited; the auditing process data acquisition module is used for acquiring a plurality of pieces of auditing process data based on the plurality of pieces of emission detection process data of the to-be-audited vehicle, and comparing the plurality of pieces of auditing process data with the threshold range of each piece of auditing process data; the theoretical result calculation and comparison module is used for calculating a theoretical result according to the emission process data of the to-be-audited vehicle, comparing the theoretical result with the received emission result data of the to-be-audited vehicle, and judging whether the difference value of each index is within a threshold range or not; and the audit result feedback module is used for generating audit passing information of the to-be-audited vehicle if the early warning mark does not exist.

Description

Technical Field

[0001] The present invention mainly relates to the technical field of gasoline vehicle emission detection, and specifically to a gasoline vehicle emission detection and auditing system, method and equipment. Background Art

[0002] At present, the emission inspection of gasoline vehicles is mainly carried out through annual vehicle inspections, that is, car owners need to go to gasoline vehicle inspection agencies regularly to conduct gasoline vehicle exhaust emissions inspections. Each gasoline vehicle inspection agency is equipped with a gasoline vehicle emission detection system, which needs to be connected to the regional regulatory department platform.

[0003] First of all, the inspection time is relatively long. The inspection time for a single vehicle is 120 seconds to 195 seconds. The process data needs to be reviewed second by second. Every second involves data collected by multiple devices. There are many types of data, and manual review is difficult to process quickly. This will seriously affect the review speed and easily lead to data backlogs, affecting the timely development of subsequent business. The review efficiency is difficult to meet regulatory requirements.

[0004] Gasoline vehicle testing involves a variety of testing methods. Different testing methods have different testing processes, and the data generated are of many types and complex structures. Among them, real-time operating data and multi-dimensional emission indicators are difficult to fully cover and accurately verify through manual review.

[0005] It is difficult to fully cover the data details. The detection data not only contains a large amount of process data, but also includes result data. The slight differences in these data may affect the final audit results. It is difficult for manual audits to fully cover all data details, and potential abnormal data is easy to be overlooked.

[0006] Secondly, the discovery of data anomalies during manual review is usually delayed, especially when dealing with more complex data. Data anomalies may not be discovered until after the vehicle leaves the inspection agency, making it impossible to conduct re-inspection in a timely manner, which increases the complexity of management.

[0007] Different auditors may have different judgment standards and experiences on complex gasoline vehicle emission inspection data, which may lead to inconsistency in audit results and increase the uncertainty of data processing.

[0008] The repeatability of audit results cannot be guaranteed. Since different auditors have different understandings of the testing standards, professional knowledge and experience, the audit results may differ when faced with the same test data, affecting the consistency and reliability of the data audit.

[0009] Due to the lack of a systematic alarm mechanism, the processing efficiency of abnormal data is low, and problem vehicles cannot be identified in a timely manner, which increases the difficulty of supervision.

[0010] Finally, in order to cope with the complex and large-scale gasoline vehicle inspection data review task, a large amount of human resources is needed, and the labor cost is high. Moreover, as the number of gasoline vehicle inspections increases, the cost increases exponentially and is difficult to maintain.

[0011] Therefore, it is necessary to design a gasoline vehicle emission detection and audit system. Summary of the invention

[0012] In order to solve the problems in the above-mentioned background technology, the present invention proposes a gasoline vehicle emission detection and auditing system, method and equipment.

[0013] In order to achieve the above-mentioned object, according to one aspect of the present invention, a gasoline vehicle emission detection review system is provided, which includes: a data receiving and preprocessing module, which receives basic information of the vehicle to be reviewed, emission detection process data and emission detection result data, and performs integrity verification; if incomplete, the verification result is fed back and a request is made to receive again; if complete, the emission detection process data and emission detection result data are numbered and formatted preprocessed, and the formatting preprocessing includes data type conversion, data sorting and data structure arrangement;

[0014] The detection method matching module matches the simple transient operating condition method or the dual idle method according to the basic information of the vehicle to be reviewed; if the matching fails, the matching result is fed back and re-matching is performed;

[0015] The audit process data acquisition module acquires a number of audit process data based on a number of emission detection process data of the vehicle to be audited, and compares them with the threshold range of each audit process data. If it is not within the threshold range, the process data is marked and warned;

[0016] Theoretical result calculation and comparison module calculates theoretical results based on the emission process data of the vehicle to be audited, and compares them with the emission result data of the vehicle to be audited to determine whether the difference of each indicator is within the threshold range. If it exceeds the threshold range, the result data will be marked for warning;

[0017] The audit result feedback module, if the vehicle to be audited has a warning mark, feedback will be sent to the inspection agency; if there is no warning mark, the audit pass information of the vehicle to be audited will be generated.

[0018] Theoretical result calculation comparison module uses humidity correction factor to correct NO x Concentration, after correction for NO x The concentration is;

[0019] C 2NOx =C NOx ×DF×k H

[0020] Among them, C 2NOxAfter correction, NO x Concentration, C NOx Yes NO x The original concentration, DF is the dilution factor, k H Humidity correction factor;

[0021]

[0022] Where H is the absolute humidity;

[0023] The calculation method of absolute humidity H is:

[0024]

[0025] Among them, P B is the atmospheric pressure, R a is the relative humidity of the ambient air, P d is the water vapor saturation pressure,

[0026] The calculation method of water vapor saturation pressure is:

[0027]

[0028] Where T is the actual temperature; T1 and T2 are two adjacent integer temperatures; P d1 and P d2 is the saturated vapor pressure corresponding to T1 and T2.

[0029] In the theoretical result calculation and comparison module, if the CO2 concentration exceeds the threshold range, based on the basic information of the vehicle to be reviewed, it is analyzed whether there are problems such as incomplete gasoline combustion, vehicle aging, bad driving habits and environmental factors.

[0030] Specifically, if the CO2 concentration exceeds the CO2 concentration threshold range and the CO concentration exceeds the CO concentration threshold maximum value at the same time, a CO2 and CO concentration change curve corresponding to the audit time is generated to determine the gasoline combustion of the vehicle to be audited. If the CO2 and CO concentrations exceed the CO2 concentration threshold range and the CO concentration threshold range for more than half of the total detection time, it is determined that the gasoline combustion is incomplete and the vehicle is marked as unhealthy.

[0031] From the basic information of the vehicle to be reviewed, the data of service life and mileage are obtained to determine whether the vehicle to be reviewed is aging. If the service life is greater than the service life threshold or the mileage is greater than the mileage threshold, the vehicle to be reviewed is determined to be aging and marked as an unhealthy vehicle.

[0032] The information of the driving environment of the vehicle to be tested is obtained. If the driving environment temperature of the vehicle to be reviewed is lower than the minimum driving environment temperature, or the altitude is higher than the maximum altitude threshold, the CO2 concentration threshold is expanded by one step. If the vehicle to be reviewed is within the expanded CO2 concentration threshold range, it is marked as a healthy vehicle.

[0033] The data of service life and mileage are obtained. If the vehicle to be reviewed does not suffer from incomplete gasoline combustion, vehicle aging and environmental factors, and the mileage is less than half of the mileage threshold, it is determined that the driver of the vehicle to be reviewed has bad driving habits and is marked as an unhealthy vehicle.

[0034] In order to achieve the above object, according to another aspect of the present invention, a gasoline vehicle emission detection and audit method is provided, comprising the following steps:

[0035] S1. Receive the basic information of the vehicle to be reviewed, the emission test process data and the emission test result data, and perform integrity check; if incomplete, feedback the verification result and request re-receiving; if complete, perform numbering and formatting preprocessing on the emission test process data and the emission test result data, and the formatting preprocessing includes data type conversion, data sorting and data structure arrangement;

[0036] S2. Match the simple transient operating condition method or the dual idle method according to the basic information of the vehicle to be reviewed; if the matching fails, feedback the matching result and perform re-matching;

[0037] S3. Based on a plurality of emission detection process data of the vehicle to be audited, a plurality of audit process data are obtained, and compared with the threshold range of each audit process data. If the data is not within the threshold range, the data is marked for early warning;

[0038] S4. Calculate theoretical results based on the emission process data of the vehicle to be audited, and compare them with the emission result data of the vehicle to be audited, and determine whether the difference of each indicator is within the threshold range. If it exceeds the threshold range, mark the result data for warning;

[0039] S5. If the vehicle to be reviewed has a warning mark, feedback is provided to the inspection agency; if there is no warning mark, review pass information for the vehicle to be reviewed is generated.

[0040] In order to achieve the above-mentioned purpose, according to another aspect of the present invention, a gasoline vehicle emission detection and auditing device is provided, which includes a processor and a memory. When the processor executes a stored computer program, the gasoline vehicle emission detection and auditing method as described above is implemented.

[0041] The beneficial effects of the present invention are:

[0042] The beneficial effects of the present invention are:

[0043] Firstly, the detection time is shortened, and each module of the audit system is processed quickly, which does not affect the audit speed, does not cause data backlogs, and does not affect the timely development of subsequent business. The audit efficiency can meet regulatory requirements.

[0044] Gasoline vehicle testing involves a variety of testing methods. Different testing methods have different testing processes, and the data generated are of many types and complex structures. Among them, the real-time operating condition data and multi-dimensional emission indicators, the audit system modules can fully cover and accurately verify.

[0045] The inspection data not only includes a large amount of process data, but also result data. Slight differences in these data may affect the final audit results. The audit system can comprehensively cover all data details and not ignore potential abnormal data.

[0046] Secondly, the audit system has no lag, especially when dealing with more complex data. Data anomalies are discovered and rechecked in a timely manner, reducing the complexity of management.

[0047] Different auditors may have different judgment standards and experience for complex gasoline vehicle emission inspection data, which may lead to inconsistency in audit results and increase uncertainty in data processing. However, the audit system audits according to a unified threshold range or regulations to ensure that the audit results are unified and stable.

[0048] To ensure the repeatability of the audit results, since the standards and regulations are unified, there is no uneven understanding of the testing standards, professional knowledge and experience, therefore, it does not affect the consistency and reliability of the data audit.

[0049] The systematized alarm mechanism can efficiently process abnormal data, timely identify problem vehicles and reduce management difficulty.

[0050] To cope with the complex and large-scale gasoline vehicle inspection data review task, there is no need to invest a lot of human resources, the cost is low, and it can be continuously controlled as the number of gasoline vehicle inspections increases. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In the attached picture:

[0052] Figure 1 The figure is a structural diagram of a gasoline vehicle emission detection and audit system. DETAILED DESCRIPTION

[0053] See also Figure 1 In order to make those skilled in the art better understand the scheme of the present invention, combined with Figure 1 , the present invention is elaborated in detail.

[0054] An embodiment of the present invention provides a gasoline vehicle emission detection and auditing system, comprising:

[0055] Data receiving and preprocessing module: Receive the basic information of the vehicle to be reviewed, the emission test process data and the emission test result data, and perform integrity verification; if incomplete, feedback the verification results and request re-receiving; if complete, the emission test process data and the emission test result data are numbered and formatted for preprocessing. The formatting preprocessing includes data type conversion, data sorting and data structure organization.

[0056] Specifically, the data receiving and preprocessing module receives data including basic information of the vehicle to be reviewed, emission detection process data and emission detection result data, and performs integrity verification to check whether any of the three parts of data are missing.

[0057] If any of the above three parts is missing, the integrity check fails, the data receiving and preprocessing module will lock the vehicle, and immediately feedback the audit results, requiring re-testing. The audit result information of the vehicle to be audited is: [Data audit failed; warning information: Uploaded vehicle basic information / test process data / test result data is missing. The vehicle has been locked, please re-test! ]

[0058] After the integrity check of the vehicle to be reviewed passes, the data receiving and preprocessing module performs unified formatting preprocessing on the received data to prepare for subsequent data verification. The specific operations of formatting preprocessing are completed by the following modules:

[0059] 1. Data type conversion module: The data receiving and preprocessing module unifies the accuracy and type according to the requirements of different detection items.

[0060] 2. Data sorting module: For data that are not arranged in the actual detection order, the data receiving and preprocessing module will sort the data in chronological order to ensure that the data is processed in the correct logical order and mark the serial number.

[0061] 3. Data structure arrangement module: The data receiving and preprocessing module will group and arrange the working conditions during the audit process, and mark each working condition with a corresponding working condition identification.

[0062] After completing the above processing, the system enters the detection method matching module and performs matching according to the set matching method.

[0063] Detection method matching module: matches the simple transient operating condition method or the dual idle method according to the basic information of the vehicle to be reviewed; if the matching fails, the matching result is fed back and re-matching is performed.

[0064] Detection method matching module, the detection method matching module extracts the detection method field information from the basic information of the vehicle to be reviewed, and the detection method matching module compares the information with the built-in data dictionary. The detection method field information 1 of the vehicle to be reviewed is the simple transient operating condition method, and the detection method field information 2 of the vehicle to be reviewed is the dual idle method.

[0065] If the detection method field information in the basic vehicle information of the vehicle to be reviewed does not exist, priority will be given to matching the detection methods of historically reviewed vehicles with similar mileage (such as a difference of no more than 1,000 kilometers) and the same brand, model, and engine.

[0066] If the detection method field information of the vehicle to be reviewed does not exist, and there is no historical review vehicle with the same usage time, the same brand, the same model, and the same vehicle engine as the vehicle to be reviewed in the gasoline vehicle emission detection review system, then the fuel consumption parameters, weight, usage time, engine model, and engine power information of the vehicle to be reviewed are obtained from the basic information of the vehicle to be reviewed, and the detection method matching model is imported to classify the detection method. The detection method matching model is a classification model based on a deep learning algorithm.

[0067] Specifically, the detection method is determined by the fuel consumption parameters, weight, usage time, engine model, and engine power of the vehicle to be reviewed. The fuel consumption parameters, weight, usage time, engine model, engine power of historically reviewed vehicles and the determined detection method label are input into the classification network for learning and training to obtain a detection method matching model. The fuel consumption parameters, weight, usage time, engine model, and engine power of the vehicle to be reviewed that is to be matched with the detection method are input into the detection method matching model to obtain a classification label, and the detection method corresponding to the classification label with the highest probability is selected as the detection method that matches the vehicle to be reviewed.

[0068] Now there are two gasoline vehicles for emission pollution testing, which are named VMAS001 and TSI001. Vehicle VMAS001 is tested using the simple transient operating method, and vehicle TSI001 is tested using the dual idle method.

[0069] The data obtained after processing by the above two modules enters the audit process data acquisition module.

[0070] The audit process data acquisition module audits the vehicles to be audited using the simple transient operating condition method and the dual idle method based on several emission detection process data of the vehicles to be audited, obtains several audit process data, and compares them with the threshold range of each audit process data. If the data is not within the threshold range, the process data is marked and warned.

[0071] The audit process data acquisition module needs to complete the audit of the simple transient operating condition method, including vehicle speed deviation audit, CO+CO2 concentration audit, exhaust gas analyzer concentration audit, flow meter flow audit, engine oil temperature audit, engine speed audit, environmental parameters audit and driving distance audit; the dual idle method emission process data audit includes CO+CO2 concentration audit, engine oil temperature audit, engine speed and environmental parameters audit.

[0072] It can be seen from this that the workload is huge. Therefore, the audit process data acquisition module also includes a vehicle speed deviation audit module, a CO+CO2 concentration audit module, an exhaust gas analyzer concentration audit module, a flow meter flow audit module, an engine oil temperature audit module, an engine speed audit module, an environmental parameter audit module and a driving distance audit module.

[0073] The following introduces each sub-module based on the simple transient operating condition method and dual idle method.

[0074] It should be noted that the simple transient operating condition method is divided into three operating conditions: equipment preparation, idle preparation before detection and 195-second detection. Among them, the equipment preparation stage requires at least one set of data, the idle preparation stage before detection requires 40 sets of data, and the 195-second detection stage requires 195 sets of data.

[0075] 1. Speed ​​deviation audit module: The simple transient working condition method requires that the speed per second of the 195-second test condition should not exceed ±3km / h compared with the standard speed for more than 2s.

[0076] For the i-th second, the vehicle speed deviation is calculated as:

[0077] ΔV i =V i -V standard，i

[0078] Where, ΔV i is the vehicle speed deviation, V i is the vehicle speed in i seconds of the 195-second test condition, V standard，i The standard speed.

[0079] If ΔV i If it exceeds ±3km / h, the serial number of that second will be recorded in the excess queue; if the number of consecutive seconds in the currently recorded excess queue is less than 3 seconds, and the speed deviation returns to within ±3km / h in the next second, the serial number of that second in the excess queue will be cleared; after processing all the speed data per second of the 195-second test conditions, the final excess queue of vehicles to be reviewed will be recorded and saved.

[0080] 2CO+CO2 concentration audit module: The simple transient condition method test requires that the sum of the CO+CO2 concentrations in the acceleration section and the uniform speed section of the 195-second test condition cannot be less than 6%, otherwise the test is invalid. For the i-th second, the CO+CO2 concentration is calculated as:

[0081]

[0082] in, is the sum of CO+CO2 concentrations at the ith second, CO i is the CO concentration at the ith second, CO 2i is the CO2 concentration at the ith second.

[0083] Audit process data acquisition module checks whether it exists If there is a situation, record the sequence number of that second and mark the warning.

[0084] 3. Exhaust gas analyzer concentration audit module: The simple transient working condition method test requires that the exhaust gas analysis in the 195-second test condition must not have the following conditions: CO2>16% or O2<-0.1% or CO<-0.6% or HC<-13ppm. The audit process data acquisition module will check the exhaust gas analyzer concentration data in the emission test process data of the vehicle to be audited second by second. If any of the above conditions occurs, an early warning will be marked.

[0085] 4. Flow meter flow audit module: Simple transient condition method detection requires that the flow meter flow rate cannot be less than 2m for 5 consecutive seconds in the 195-second detection condition. 3 / min,

[0086] Since the actual received process data unit is L / s, it is necessary to convert the unit before calculating the flow rate. The specific calculation method is:

[0087]

[0088] Among them, Flow i is the flow rate at the ith second, and checks whether there is a flow rate below 2 m / s for 5 consecutive seconds. 3 / min, if the flow rate is lower than 2m 3 / min, the sequence number of the second is recorded in the abnormal value queue. If the number of consecutive seconds in the currently recorded low flow queue is less than 5 seconds, and the flow rate in the next second returns to ≥2m 3 / min, the serial number of the second will be deleted from the abnormal value queue. If the number of consecutive seconds recorded in the abnormal value queue reaches or exceeds 5 seconds, an alert will be marked.

[0089] 5. Engine oil temperature audit module: During the idle preparation before the test and the 195-second test condition, the engine oil temperature is within the threshold range of -20°C to 150°C. If it exceeds the threshold range, a warning will be marked.

[0090] 6 Engine speed review module: During the idle preparation before testing and the 195-second test condition, the engine speed should be within the range of 0 to the rated engine speed of the vehicle to be reviewed. If it exceeds the threshold range, a warning will be marked.

[0091] 7 Environmental parameter audit module: audit whether each environmental parameter meets the requirements. The specific requirements are as follows:

[0092] -20℃≤Temperature i ≤45℃

[0093] 10% ≤ Humidity i ≤90%

[0094] 30kPa≤Airpressure i ≤110kPa

[0095] Among them, Temperature i is the temperature at the i-th second, Humidity i is the humidity at the i-th second, Airpressure i is the atmospheric pressure at the i-th second.

[0096] 8 Driving distance review module: The simple transient working condition method detection requires that the vehicle's mileage on the chassis dynamometer should be within the range of 1.013±0.2km. If it exceeds the threshold range, a warning will be marked.

[0097] The data acquisition of the double idle method audit process is as follows:

[0098] The dual idle method test is divided into five operating conditions: 70% rated speed, high idle preparation, high idle detection, idle preparation and idle detection. The data volume requirements for each operating condition are: 70% rated speed requires 30 groups, high idle preparation requires 15 groups, high idle detection requires 30 groups, idle preparation requires 15 groups, and idle detection requires 30 groups.

[0099] The CO+CO2 concentration, engine oil temperature, and environmental parameter audit threshold ranges of the dual idle method and the simple transient operating condition method are the same, and the audit method is the same. In addition, the engine speed audit of the dual idle method is specifically as follows:

[0100] In the 70% rated speed condition, the engine speed is ≥0.7×the vehicle's rated speed r / min; in the high idle preparation and high idle detection conditions, the engine speed of the vehicle to be reviewed with a total mass >3500kg is within the range of 1800±200r / min, and the engine speed of the vehicle to be reviewed with a total mass ≤3500kg is within the range of 2500±200r / min; in the idle preparation and high idle detection conditions, the speed of the vehicle to be reviewed is ≤1000r / min; if the corresponding engine speed of the vehicle to be reviewed in each condition exceeds the above threshold range, a warning will be marked.

[0101] After being processed by the submodule, if it is not within the specified range, the serial number of the data will be recorded; after the system has been traversed and checked, if it is within the required range, the item will pass.

[0102] The data obtained after processing by the above modules enters the theoretical result calculation and comparison module.

[0103] The theoretical results are calculated based on the emission process data of the vehicle to be audited, and compared with the emission result data of the vehicle to be audited to determine whether the difference of each indicator is within the threshold range. If it exceeds the threshold range, the result data will be marked for warning;

[0104] Theoretical result calculation and comparison module calculates theoretical results based on the emission process data of the vehicle to be audited, and compares them with the emission result data of the vehicle to be audited to determine whether the difference of each indicator is within the threshold range. If it exceeds the threshold range, the result data will be marked for warning;

[0105] Among them, the theoretical result calculation of the simplified transient operating method includes original concentration and correction, density and exhaust flow, calculation of emission mass per unit time, and calculation of final emission mass;

[0106] Therefore, the theoretical result calculation and comparison module for the simple transient operating method includes: original concentration and correction, density and exhaust flow, emission mass calculation per unit time, and calculation of the final emission mass sub-module.

[0107] The dual idle method theoretical result calculation includes high idle result data calculation and idle detection data calculation; if the error exceeds the threshold range, the abnormal information is recorded; the theoretical result calculation and comparison module for the dual idle method theoretical result calculation includes: high idle result data calculation and idle detection data calculation sub-modules.

[0108] The calculation and comparison of the theoretical results of the simplified transient operating method are as follows: HC, CO, CO2, O2, NO are obtained from the emission test process data of the vehicle to be reviewed. x Concentration, these gas concentration data are measured by exhaust gas analyzer, including HC, CO, NO xCorrection is required. The specific correction method is:

[0109] 1. Original concentration and correction submodule: Dilution correction factor calculation, dilution factor is used to correct CO, HC, NO x When the calculated dilution factor is greater than 3.0, the dilution factor is taken as 3.0. The calculation formula of the dilution factor is as follows:

[0110]

[0111] Where DF is the dilution factor, is the CO2 emission concentration measurement correction value, is the measured value of CO2 emission concentration, C CO测 is the measured value of CO emission concentration, α is the combustion calculation coefficient, and the value is 4.644 for gasoline vehicles;

[0112] Set the CO2 threshold range to 12%-16%, and the CO threshold range to 0.5%-5%. If the CO2 concentration exceeds the threshold range, perform a health analysis of the vehicle to be reviewed based on the basic information of the vehicle to be reviewed to determine whether the vehicle to be reviewed has health problems such as insufficient gasoline combustion, vehicle aging, bad driving habits, and environmental factors. Specifically, if the CO2 concentration exceeds the CO2 concentration threshold range and the CO concentration exceeds the maximum CO concentration threshold, generate a CO2 and CO concentration change curve corresponding to the review time to determine the gasoline combustion of the vehicle to be reviewed. If the CO2 and CO concentrations exceed the CO2 concentration threshold range and the CO concentration threshold range for more than half of the total 195-second working condition detection time, it is determined that the gasoline is not burned sufficiently, and the unhealthy vehicle is marked, and an alert for insufficient gasoline combustion is issued.

[0113] From the basic information of the vehicle to be reviewed, the data of service life and mileage are obtained, and the service life threshold is set to 10 years and the mileage threshold is set to 500,000 kilometers. It is judged whether the vehicle to be reviewed is aging. If the service life is greater than the service life threshold or the mileage is greater than the mileage threshold, the vehicle to be reviewed is judged to be aging, marked as an unhealthy vehicle, and an aging warning is issued;

[0114] The information of the driving environment of the vehicle to be reviewed is obtained. If the driving environment temperature of the vehicle to be reviewed is lower than the minimum driving environment temperature, or the altitude is higher than the maximum altitude threshold, the CO2 concentration threshold is expanded by one step.

[0115] Set the standard driving environment temperature to -18℃-45℃, the standard altitude threshold to 0-500 meters, and find the CO2 concentration ratio between the driving environment and the standard environment, specifically;

[0116]

[0117] Among them, C B is the CO2 concentration at standard altitude, C D is the CO2 concentration of the driving environment of the vehicle to be reviewed, h a is the altitude of the driving environment of the vehicle to be reviewed, B is the CO2 concentration threshold step size;

[0118] If the vehicle to be reviewed is within the expanded CO2 concentration threshold range, it will be marked as a healthy vehicle;

[0119] The data of service life and mileage are obtained. If the vehicle to be reviewed does not suffer from incomplete gasoline combustion, vehicle aging and environmental factors, and the mileage is less than half of the mileage threshold, it is determined that the driver of the vehicle to be reviewed has bad driving habits and is marked as an unhealthy vehicle.

[0120] Calculation of humidity correction factor, humidity correction factor is used to correct NO x The concentration is calculated as:

[0121]

[0122] Among them, k H is the humidity correction factor, H is the absolute humidity, R a -Relative humidity of ambient air, P d It is the saturated vapor pressure of water vapor at the test ambient temperature. If the ambient temperature is higher than 30℃, the saturated vapor pressure of water vapor at 30℃ will be used instead.

[0123]

[0124] Among them, P B is the atmospheric pressure,

[0125] In the actual detection process, the temperature is generally a small value. According to the real-time temperature during the detection process, combined with the difference calculation, the corresponding water vapor saturated vapor pressure is obtained. The calculation formula for water vapor saturated vapor pressure is as follows:

[0126]

[0127] Where T is the actual temperature; T1 and T2 are two adjacent integer temperatures; P d1 and P d2 is the saturated vapor pressure corresponding to T1 and T2.

[0128] After correction NO x The concentration is;

[0129] C 2NOx =C NOx ×DF×k H

[0130] Among them, C 2NOx After correction, NO x Concentration, C NOx Yes NO x is the original concentration, and DF is the dilution factor.

[0131] 2 Density and exhaust flow calculation submodule: Under standard conditions, the densities of various pollutants are: CO density = 1.25g / L; NO2 density = 2.05g / L; HC density. Since the volume concentration value of hydrocarbons in the exhaust pollutant gas is converted according to n-hexane equivalent, the density calculation formula of HC is, HC density = ((12×6)+(1×14)) / 22.4≈3.839g / L.

[0132] The standard exhaust flow calculation formula is:

[0133] Exhaust flow rate = diluted exhaust flow rate × dilution ratio

[0134] The dilution ratio calculation formula is:

[0135]

[0136] 3. Unit time emission mass calculation submodule: Specific processing method:

[0137] Emission mass per second = corrected concentration × density × exhaust flow rate

[0138] Cumulative emission mass calculation: the emission mass per second in the 195-second working condition is accumulated to obtain the total mass of gaseous pollutants, and then the total mass of each pollutant is divided by the vehicle's driving distance to obtain CO, HC, NO per kilometer respectively. x Emission quality:

[0139]

[0140] The calculation and comparison of the theoretical results of the dual idle method are as follows: the dual idle method test is divided into five working conditions, each working condition corresponds to different test duration and data collection points; 70% rated speed corresponds to 30 seconds of data collection; high idle preparation corresponds to 15 seconds of data collection; high idle detection corresponds to 30 seconds of data collection; idle preparation corresponds to 15 seconds of data collection; idle detection corresponds to 30 seconds of data collection.

[0141] 4 High idle result data calculation submodule: High idle result data calculation includes high idle CO result calculation, extracting CO concentration data in high idle test conditions from the emission test process data of the vehicle to be reviewed, calculating the average value, and retaining 1 decimal place:

[0142]

[0143] The high idle HC result calculation extracts the HC concentration data in the high idle test condition from the emission test process data of the vehicle to be reviewed, and then calculates the average value of these data, retaining integer precision:

[0144]

[0145] The excess air coefficient result calculation is to extract the high idle speed test condition from the emission test process data of the vehicle to be reviewed, and then calculate the average value of these data, retaining 2 decimal places:

[0146]

[0147] 5 Idle speed detection data calculation module: including idle speed CO result calculation and idle speed HC result calculation. Idle speed CO result calculation is to extract CO concentration data in idle speed detection condition from the emission detection process data of the vehicle to be reviewed, and then calculate the average value of these data, retaining 1 decimal place:

[0148]

[0149] Calculate the idle HC result, extract the HC concentration data in the idle test condition from the emission test process data of the vehicle to be reviewed, and then calculate the average value of these data, retaining integer precision:

[0150]

[0151] Compare the result data, calculate the theoretical result and compare it with the actual emission test result data of the vehicle to be reviewed, and check whether the deviation between the two is within the allowable range, that is, ±5%. The specific deviation calculation method is:

[0152]

[0153] If the deviation to be reviewed exceeds the deviation threshold range, the result data will be marked with an early warning, with the specific content being: [The error of the vehicle TSI001 CO result value is too large, calculated value: 1.4, uploaded value: 1.9;].

[0154] The data processed by the above modules are transferred to the audit result feedback module.

[0155] The audit result feedback module, if the vehicle to be audited has a warning mark, it will be fed back to the inspection agency. If the warning information of the vehicle to be audited that matches the simple transient operating condition method includes CO2 concentration warning information, the result of the health analysis of the vehicle to be audited will be added; if there is no warning mark, the audit pass information of the vehicle to be audited will be generated.

[0156] In order to achieve the above object, according to another aspect of the present invention, a gasoline vehicle emission detection and audit method is provided, comprising the following steps:

[0157] S1. Receive the basic information of the vehicle to be reviewed, the emission test process data and the emission test result data, and perform integrity check; if incomplete, feedback the verification result and request re-receiving; if complete, perform numbering and formatting preprocessing on the emission test process data and the emission test result data, and the formatting preprocessing includes data type conversion, data sorting and data structure arrangement;

[0158] S2. Match the simple transient operating condition method or the dual idle method according to the basic information of the vehicle to be reviewed; if the matching fails, feedback the matching result and perform re-matching;

[0159] S3. Based on a plurality of emission detection process data of the vehicle to be audited, a plurality of audit process data are obtained, and compared with the threshold range of each audit process data. If the data is not within the threshold range, the data is marked for early warning;

[0160] S4. Calculate theoretical results based on the emission process data of the vehicle to be audited, and compare them with the emission result data of the vehicle to be audited, and determine whether the difference of each indicator is within the threshold range. If it exceeds the threshold range, mark the result data for warning;

[0161] S5. If the vehicle to be reviewed has a warning mark, feedback is provided to the inspection agency; if there is no warning mark, review pass information for the vehicle to be reviewed is generated.

[0162] In order to achieve the above-mentioned purpose, according to another aspect of the present invention, a gasoline vehicle emission detection and auditing device is provided, which includes a processor and a memory. When the processor executes a stored computer program, the gasoline vehicle emission detection and auditing method as described above is implemented.

[0163] The beneficial effects of the present invention are:

[0164] Firstly, the detection time is shortened, and each module of the audit system is processed quickly, which does not affect the audit speed, does not cause data backlogs, and does not affect the timely development of subsequent business. The audit efficiency can meet regulatory requirements.

[0165] Gasoline vehicle testing involves a variety of testing methods. Different testing methods have different testing processes, and the data generated are of many types and complex structures. Among them, the real-time operating condition data and multi-dimensional emission indicators, the audit system modules can fully cover and accurately verify.

[0166] The inspection data not only includes a large amount of process data, but also result data. Slight differences in these data may affect the final audit results. The audit system can comprehensively cover all data details and not ignore potential abnormal data.

[0167] Secondly, the audit system has no lag, especially when dealing with more complex data. Data anomalies are discovered and rechecked in a timely manner, reducing the complexity of management.

[0168] Different auditors may have different judgment standards and experience for complex gasoline vehicle emission inspection data, which may lead to inconsistency in audit results and increase uncertainty in data processing. However, the audit system audits according to a unified threshold range or regulations to ensure that the audit results are unified and stable.

[0169] To ensure the repeatability of the audit results, since the standards and regulations are unified, there is no uneven understanding of the testing standards, professional knowledge and experience, therefore, it does not affect the consistency and reliability of the data audit.

[0170] The systematized alarm mechanism can efficiently process abnormal data, timely identify problem vehicles and reduce management difficulty.

[0171] To cope with the complex and large-scale gasoline vehicle inspection data review task, there is no need to invest a lot of human resources, the cost is low, and it can be continuously controlled as the number of gasoline vehicle inspections increases.

Claims

1. A gasoline vehicle emission detection and audit system, characterized in that: include: The data receiving and preprocessing module receives the basic information of the vehicle to be reviewed, the emission test process data and the emission test result data, and performs integrity verification; If it is incomplete, feedback the verification results and request re-receiving; if it is complete, the emission detection process data and emission detection result data are numbered and formatted for pre-processing, and the formatting pre-processing includes data type conversion, data sorting and data structure arrangement; The detection method matching module matches the simple transient operating condition method or the dual idle method according to the basic information of the vehicle to be reviewed; If the matching fails, the matching result is fed back and re-matching is performed; The audit process data acquisition module acquires a number of audit process data based on a number of emission detection process data of the vehicle to be audited, and compares them with the threshold range of each audit process data. If it is not within the threshold range, the process data is marked and warned; Theoretical result calculation and comparison module calculates theoretical result data based on the emission process data of the vehicle to be reviewed, compares it item by item with the emission result data of the vehicle to be reviewed, and determines whether the difference is within the threshold range. If it exceeds the threshold range, the emission result data of this item will be marked for warning; The audit result feedback module, if the vehicle to be audited has a warning mark, feedback will be sent to the inspection agency; if there is no warning mark, the audit pass information of the vehicle to be audited will be generated.

2. A gasoline vehicle emission detection and auditing system according to claim 1, characterized in that: The theoretical result calculation comparison module uses the humidity correction coefficient to correct NO x Concentration, after correction for NO x The concentration is; C 2NOx =C NOx ×DF×k H Among them, C 2NOx After correction, NO x Concentration, C NOx Yes NO x The original concentration, DF is the dilution factor, k H Humidity correction factor; Where H is the absolute humidity; The calculation method of absolute humidity H is: Among them, P B is the atmospheric pressure, R a is the relative humidity of the ambient air, P d is the water vapor saturation pressure, The calculation method of water vapor saturation pressure is: Where T is the actual temperature; T1 and T2 are two adjacent integer temperatures; P d1 and P d2 is the saturated vapor pressure corresponding to T1 and T2.

3. A gasoline vehicle emission detection and audit system according to claim 1, characterized in that: In the theoretical result calculation and comparison module, if the CO2 concentration exceeds the threshold range, based on the basic information of the vehicle to be reviewed, it is analyzed whether there are problems such as insufficient gasoline combustion, vehicle aging, bad driving habits and environmental factors.

4. A gasoline vehicle emission detection and auditing system according to claim 3, characterized in that: If the CO2 concentration exceeds the CO2 concentration threshold range and the CO concentration exceeds the CO concentration threshold maximum value at the same time, a CO2 and CO concentration change curve corresponding to the audit time is generated to determine the gasoline combustion condition of the vehicle to be audited. If the CO2 and CO concentrations exceed the CO2 concentration threshold range and the CO concentration threshold range for more than half of the total detection time, it is judged as incomplete gasoline combustion and the vehicle is marked as unhealthy.

5. A gasoline vehicle emission detection and auditing system according to claim 3, characterized in that: From the basic information of the vehicle to be reviewed, obtain the data of service life and mileage to determine whether the vehicle to be reviewed is aging. If the age is greater than the age threshold or the mileage is greater than the mileage threshold, the vehicle to be reviewed is judged to be aging and is marked as an unhealthy vehicle.

6. A gasoline vehicle emission detection and auditing system according to claim 3, characterized in that: From the basic information of the vehicle to be reviewed, obtain the information of the driving environment of the vehicle to be tested. If the driving environment temperature of the vehicle to be reviewed is lower than the minimum driving environment temperature, or the altitude is higher than the maximum altitude threshold, the CO2 concentration threshold is expanded by one step. If the vehicle to be reviewed is within the expanded CO2 concentration threshold range, it is marked as a healthy vehicle.

7. A gasoline vehicle emission detection and auditing system according to claim 3, characterized in that: From the basic information of the vehicle to be reviewed, obtain the data on age and mileage. If the vehicle to be reviewed does not have incomplete gasoline combustion, vehicle aging and environmental factors, and the mileage is less than half of the mileage threshold, it is determined that the driver of the vehicle to be reviewed has bad driving habits and is marked as an unhealthy vehicle.

8. A gasoline vehicle emission detection and audit method, characterized in that: The steps include: S1. Receive the basic information of the vehicle to be reviewed, the emission test process data and the emission test result data, and perform integrity check; if incomplete, feedback the verification result and request re-receiving; if complete, perform numbering and formatting preprocessing on the emission test process data and the emission test result data, and the formatting preprocessing includes data type conversion, data sorting and data structure arrangement; S2. Match the simple transient operating condition method or the dual idle method according to the basic information of the vehicle to be reviewed; if the matching fails, feedback the matching result and perform re-matching; S3. Based on a plurality of emission detection process data of the vehicle to be audited, a plurality of audit process data are obtained, and compared with the threshold range of each audit process data. If the data is not within the threshold range, the process data is marked for early warning; S4. Calculate theoretical results based on the emission process data of the vehicle to be audited, and compare them with the emission result data of the vehicle to be audited received to determine whether the difference of each indicator is within the threshold range. If it exceeds the threshold range, mark the result data for warning; S5. If the vehicle to be reviewed has a warning mark, feedback is provided to the inspection agency; if there is no warning mark, review pass information for the vehicle to be reviewed is generated.

9. A gasoline vehicle emission detection and auditing device, characterized in that: It includes a processor and a memory. When the processor executes a stored computer program, the gasoline vehicle emission detection and audit method as described above is implemented.

Images