Method and system for evaluating environmental adaptability of motor vehicle emission real-time monitoring equipment

Abstract

The invention discloses a motor vehicle emission real-time monitoring equipment environment adaptability evaluation method and system, and the method comprises the steps: obtaining the equipment information of to-be-tested monitoring equipment, the equipment information comprises the expected data acquisition frequency of the monitoring equipment, the altitude of the monitoring equipment, the normal working time of the monitoring equipment in the test period, the total test time, the fault rate of the monitoring equipment, the response time of the monitoring equipment at the beginning of the test, the response time of the monitoring equipment at the end of the test and the use time of the monitoring equipment; a monitoring equipment evaluation model is set, the comprehensive performance score of the monitoring equipment is calculated according to the equipment information, and the monitoring equipment evaluation model comprises the steps of calculating the integrity score of data collected by the monitoring equipment, the accuracy score of the data collected by the monitoring equipment, the reliability score of the monitoring equipment and the durability score of the monitoring equipment; and evaluating the monitoring equipment according to the comprehensive performance score of the monitoring equipment. According to the invention, the accuracy of the to-be-tested monitoring equipment can be accurately found out.

Description

Technical Field

[0001] The present invention belongs to the technical field of monitoring equipment performance evaluation, and more specifically, relates to a method and system for evaluating the environmental adaptability of real-time motor vehicle emission monitoring equipment. Background Art

[0002] There are many types of equipment for monitoring motor vehicle emissions, including portable emissions measurement systems (PEMS), fixed emission detectors, remote sensing monitoring equipment, etc. These devices can detect a variety of pollutants emitted by motor vehicles, such as carbon dioxide (CO2), carbon monoxide (CO), nitrogen oxides (NO x ), hydrocarbons (HC) and particulate matter (PM), etc.

[0003] Portable Emission Measurement System (PEMS): PEMS is a device that can be installed on a vehicle and monitor emissions during actual driving. They usually include gas analyzers, particulate matter meters, vehicle speed and position tracking devices, etc. PEMS can record vehicle emission data in real time under different operating conditions and is widely used in the verification and research of vehicle emission standards.

[0004] However, at present, newly produced monitoring equipment needs to be calibrated to find out the differences with standard equipment. However, at present, the calibration is done manually, which greatly reduces the calibration efficiency. Summary of the invention

[0005] In order to solve the above technical problems, the present invention proposes a method and system for evaluating the environmental adaptability of real-time monitoring equipment for motor vehicle emissions, which can accurately find out the accuracy of the monitoring equipment to be tested, thereby providing improvement directions for R&D personnel.

[0006] The present invention provides a method for evaluating the environmental adaptability of a real-time monitoring device for motor vehicle emissions, comprising:

[0007] Obtaining device information of the monitoring device to be tested, wherein the device information includes: the number of data points actually collected by the monitoring device, the number of data points expected to be collected by the monitoring device, the expected data collection frequency of the monitoring device, the altitude at which the monitoring device is located, the normal working time of the monitoring device during the test, the total test time, the failure rate of the monitoring device, the response time of the monitoring device at the beginning of the test, the response time of the monitoring device at the end of the test, and the usage time of the monitoring device;

[0008] Setting a monitoring equipment evaluation model, and calculating a comprehensive performance score of the monitoring equipment based on the equipment information, wherein the monitoring equipment evaluation model includes: calculating a completeness score of data collected by the monitoring equipment, an accuracy score of data collected by the monitoring equipment, a reliability score of the monitoring equipment, and a durability score of the monitoring equipment;

[0009] The monitoring equipment is evaluated according to the comprehensive performance score of the monitoring equipment.

[0010] Furthermore, the monitoring equipment evaluation model includes:

[0011]

[0012] Among them, S is the comprehensive performance score of the monitoring equipment, w I is the integrity weight of the data collected by the monitoring device, I is the integrity score of the data collected by the monitoring device, a is the data integrity adjustment factor, and w A is the accuracy weight of the data collected by the monitoring device, A is the accuracy score of the data collected by the monitoring device, b is the data accuracy adjustment factor, and w R is the reliability weight of the monitoring equipment, R is the reliability score of the monitoring equipment, c is the reliability adjustment factor of the monitoring equipment, and w D is the weight of the monitoring equipment durability, D is the monitoring equipment durability score, and d is the monitoring equipment durability adjustment factor.

[0013] Furthermore, the integrity score I of the data collected by the monitoring device includes:

[0014]

[0015] Among them, N collected N is the number of data points actually collected by the monitoring device, expected is the number of data points expected to be collected by the monitoring equipment, k1 is the impact factor of altitude on data integrity, and f date is the expected data collection frequency of the monitoring equipment, E env is the altitude of the monitoring equipment, σ data The standard deviation of the data collected by the monitoring device.

[0016] Furthermore, the accuracy score A of the data collected by the monitoring device includes:

[0017]

[0018] Among them, w i is the weight of the i-th data point, n is the number of data points, X i，self is the measured value of the i-th data point of the monitoring device, X i，refis the measured value of the i-th data point of the standard equipment, k4 is the influence factor of altitude on data accuracy, E env The altitude at which the monitoring device is located.

[0019] Furthermore, the monitoring equipment reliability score R includes:

[0020]

[0021] Among them, T normal To monitor the time the equipment is working normally during the test, T total is the total test time, k2 is the influence factor of altitude on the reliability of monitoring equipment, E env is the altitude of the monitoring equipment, k5 is the failure rate influencing factor, F rate To monitor the failure rate of equipment.

[0022] Furthermore, the durability score D of the monitoring equipment includes:

[0023]

[0024] Among them, P end The response time of the monitoring device at the beginning of the test, P start is the response time of the monitoring equipment at the end of the test, k3 is the influence factor of altitude on the durability of the monitoring equipment, E env is the altitude of the monitoring equipment, k6 is the influence factor of the use time on the durability of the monitoring equipment, T usage To monitor the usage time of the equipment, T total is the total test time.

[0025] The present invention also proposes an environmental adaptability evaluation system for real-time monitoring equipment for motor vehicle emissions, comprising:

[0026] A data acquisition module is used to acquire device information of the monitoring device to be tested, wherein the device information includes: the number of data points actually collected by the monitoring device, the number of data points expected to be collected by the monitoring device, the expected data collection frequency of the monitoring device, the altitude at which the monitoring device is located, the normal working time of the monitoring device during the test, the total test time, the failure rate of the monitoring device, the response time of the monitoring device at the beginning of the test, the response time of the monitoring device at the end of the test, and the usage time of the monitoring device;

[0027] A scoring calculation module is used to set a monitoring equipment evaluation model and calculate the comprehensive performance score of the monitoring equipment according to the equipment information, wherein the monitoring equipment evaluation model includes: calculating the integrity score of the data collected by the monitoring equipment, the accuracy score of the data collected by the monitoring equipment, the reliability score of the monitoring equipment and the durability score of the monitoring equipment;

[0028] An evaluation module is used to evaluate the monitoring device according to the comprehensive performance score of the monitoring device.

[0029] Furthermore, the monitoring equipment evaluation model includes:

[0030]

[0031] Among them, S is the comprehensive performance score of the monitoring equipment, W I is the integrity weight of the data collected by the monitoring device, I is the integrity score of the data collected by the monitoring device, a is the data integrity adjustment factor, and w A is the accuracy weight of the data collected by the monitoring device, A is the accuracy score of the data collected by the monitoring device, b is the data accuracy adjustment factor, and w R is the reliability weight of the monitoring equipment, R is the reliability score of the monitoring equipment, c is the reliability adjustment factor of the monitoring equipment, and w D is the weight of the monitoring equipment durability, D is the monitoring equipment durability score, and d is the monitoring equipment durability adjustment factor.

[0032] Furthermore, the integrity score I of the data collected by the monitoring device includes:

[0033]

[0034] Among them, N collected N is the number of data points actually collected by the monitoring device, expected is the number of data points expected to be collected by the monitoring equipment, k1 is the impact factor of altitude on data integrity, and f data is the expected data collection frequency of the monitoring equipment, E env is the altitude of the monitoring equipment, σ data The standard deviation of the data collected by the monitoring device.

[0035] Furthermore, the accuracy score A of the data collected by the monitoring device includes:

[0036]

[0037] Among them, w i is the weight of the i-th data point, n is the number of data points, X i，self is the measured value of the i-th data point of the monitoring device, X i，ref is the measured value of the i-th data point of the standard equipment, k4 is the influence factor of altitude on data accuracy, E env The altitude at which the monitoring device is located.

[0038] The present invention also proposes a storage medium storing a plurality of instructions, wherein the instructions are used to implement the environmental adaptability evaluation method of a real-time motor vehicle emission monitoring device. The storage medium can be located in any computer terminal in a computer terminal group in a computer network, or in any mobile terminal in a mobile terminal group.

[0039] The present invention also proposes an electronic device, including a processor and a storage medium connected to the processor, wherein the storage medium stores a plurality of instructions, and the instructions can be loaded and executed by the processor, so that the processor can execute a method for evaluating the environmental adaptability of a real-time monitoring device for motor vehicle emissions. The electronic device can be a computer terminal, and the computer terminal can include: one or more processors, and a storage medium.

[0040] Compared with the prior art, the above technical solution conceived by the present invention has the following beneficial effects:

[0041] The present invention compares with standard monitoring equipment and calculates the comprehensive performance score of the monitoring equipment, so as to accurately find out the accuracy of the monitoring equipment to be tested, thereby providing improvement directions for research and development personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 is a flow chart of an environmental adaptability evaluation method for a real-time monitoring device for motor vehicle emissions according to Embodiment 1 of the present invention;

[0043] Figure 2 is a structural diagram of an environmental adaptability evaluation system for a motor vehicle emission real-time monitoring device according to Embodiment 2 of the present invention;

[0044] Figure 3 It is a flow chart of a method for comparing and testing motor vehicle emission real-time monitoring equipment according to an example of Embodiment 1 of the present invention. DETAILED DESCRIPTION

[0045] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0046] The method provided by the present invention can be implemented in the following terminal environment, and the terminal may include one or more of the following components: a processor, a storage medium, and a display screen. Among them, at least one instruction is stored in the storage medium, and the instruction is loaded and executed by the processor to implement the method described in the following embodiment. The processor may include one or more processing cores. The processor uses various interfaces and lines to connect various parts in the entire terminal, and executes various functions of the terminal and processes data by running or executing instructions, programs, code sets or instruction sets stored in the storage medium, and calling data stored in the storage medium. The storage medium may include a random access memory (RAM) or a read-only memory (ROM). The storage medium can be used to store instructions, programs, codes, code sets or instructions. The display screen is used to display the interaction sections of each application. In addition, those skilled in the art can understand that the structure of the above terminal does not constitute a limitation on the terminal, and the terminal may include more or fewer components, or combine certain components, or arrange different components. For example, the terminal also includes components such as radio frequency circuits, input units, sensors, audio circuits, power supplies, etc., which are not repeated here.

[0047] All subscripts in the formulas of the present invention are only used to distinguish parameters and have no actual meaning.

[0048] Example 1

[0049] like Figure 1 As shown, an embodiment of the present invention provides a method for evaluating environmental adaptability of a real-time monitoring device for motor vehicle emissions, comprising:

[0050] Step 101, obtaining the equipment information of the monitoring equipment to be tested, wherein the equipment information includes: the number of data points actually collected by the monitoring equipment, the number of data points expected to be collected by the monitoring equipment, the expected data collection frequency of the monitoring equipment, the altitude of the monitoring equipment, the normal working time of the monitoring equipment during the test, the total test time, the failure rate of the monitoring equipment, the response time of the monitoring equipment at the beginning of the test, the response time of the monitoring equipment at the end of the test, and the usage time of the monitoring equipment; Step 102, setting a monitoring equipment evaluation model, and calculating the comprehensive performance score of the monitoring equipment based on the equipment information, wherein the monitoring equipment evaluation model includes: calculating the integrity score of the data collected by the monitoring equipment, the accuracy score of the data collected by the monitoring equipment, the reliability score of the monitoring equipment, and the durability score of the monitoring equipment; Step 103, evaluating the monitoring equipment based on the comprehensive performance score of the monitoring equipment.

[0051] Specifically, the monitoring equipment evaluation model includes:

[0052]

[0053] Among them, S is the comprehensive performance score of the monitoring equipment, w I is the integrity weight of the data collected by the monitoring device, I is the integrity score of the data collected by the monitoring device, a is the data integrity adjustment factor, and w A is the accuracy weight of the data collected by the monitoring device, A is the accuracy score of the data collected by the monitoring device, b is the data accuracy adjustment factor, and w R is the reliability weight of the monitoring equipment, R is the reliability score of the monitoring equipment, c is the reliability adjustment factor of the monitoring equipment, and w D is the weight of the monitoring equipment durability, D is the monitoring equipment durability score, and d is the monitoring equipment durability adjustment factor.

[0054] Specifically, the integrity score I of the data collected by the monitoring equipment includes:

[0055]

[0056] Among them, N collected N is the number of data points actually collected by the monitoring device, expected is the number of data points expected to be collected by the monitoring equipment, k1 is the impact factor of altitude on data integrity, and f data is the expected data collection frequency of the monitoring equipment, E env is the altitude of the monitoring equipment, σ data The standard deviation of the data collected by the monitoring device.

[0057] Specifically, the accuracy score A of the data collected by the monitoring device includes:

[0058]

[0059] Among them, w i is the weight of the i-th data point, n is the number of data points, X i，self is the measured value of the i-th data point of the monitoring device, X i，ref is the measured value of the i-th data point of the standard equipment, k4 is the influence factor of altitude on data accuracy, E env The altitude at which the monitoring device is located.

[0060] Specifically, the monitoring equipment reliability score R includes:

[0061]

[0062] Among them, T notmal To monitor the time the equipment is working normally during the test, T totalis the total test time, k2 is the influence factor of altitude on the reliability of monitoring equipment, E env is the altitude of the monitoring equipment, k5 is the failure rate influencing factor, F rate To monitor the failure rate of equipment.

[0063] Specifically, the durability score D of the monitoring equipment includes:

[0064]

[0065] Among them, P end The response time of the monitoring device at the beginning of the test, P atart is the response time of the monitoring equipment at the end of the test, k3 is the influence factor of altitude on the durability of the monitoring equipment, E env is the altitude of the monitoring equipment, k6 is the influence factor of the use time on the durability of the monitoring equipment, T usage To monitor the usage time of the equipment, T total is the total test time.

[0066] The following is an example of the present invention. Figure 3 As shown, specifically:

[0067] Taking light and heavy-duty vehicles and non-road mobile machinery as test objects, measurement comparison tests were carried out in environmental simulation cabins / actual roads at different altitudes and extreme temperatures using self-developed equipment (including CO2 and PM sensors, portable online monitoring equipment) and regulatory certified equipment. The test altitudes included 0-1300 meters and 1300-2400 meters, and ambient temperatures were -7°C and 40°C. A multi-dimensional evaluation method was constructed from the aspects of the integrity and accuracy of the measurement data, the reliability and durability of the measurement equipment, etc.

[0068] Five typical National VI light and heavy vehicles and National IV non-road diesel machinery (see Table 1 for the main technical characteristics of the proposed selected test vehicles / machines) were selected to install self-developed equipment (PM, CO2 sensors and multi-component portable emission online test equipment), and self-developed sensors were compared with regulatory instruments in high altitude and extreme temperature environments in two test environments, namely the laboratory and the actual road. In the experimental test, the gasoline and diesel used by the test vehicles were 95# benchmark automotive gasoline and 0# benchmark automotive diesel, respectively, and the natural gas used was commercially available natural gas fuel. Based on the test data, a multi-dimensional evaluation method was constructed from the aspects of the completeness and accuracy of the measurement data to complete the evaluation of the performance of the self-developed equipment.

[0069] Table 1 Main technical features of the proposed test vehicles / machines

[0070]

[0071] Laboratory conditions: The high-altitude environmental simulation laboratories for light and heavy-duty vehicles in Tianjin and Yancheng, and the Kunming plateau emission laboratory (1,914 meters above sea level) are used as test bases. Comparative tests are carried out on light and heavy-duty vehicles in the vehicle environmental simulation laboratory in accordance with the WLTC and CHTC conditions of regulatory certification equipment (constant volume sampling exhaust emission analysis system CVS in HORIBA and AVL test equipment) and self-developed equipment. The data acquisition frequency is 1Hz. The altitude test environment conditions are 0-1,300 meters and 1,300-2,400 meters, and the ambient temperature is -7°C and 40°C. In the test study, in order to control the altitude condition factor variable, the altitude is intended to be set to 0 meters and 1,900 meters respectively.

[0072] Actual road conditions: Relying on the three-dimensional altitude geographical environment conditions of Yunnan, 5 typical light and heavy-duty vehicles and non-road diesel machinery were selected to install self-developed equipment under different altitude conditions (0-1300m, 1300-2400m) to carry out actual road tests and emission in-situ monitoring, and compared with regulatory certified PEMS equipment (using HORIBA's OBS-ONE portable vehicle emission test system) under actual road conditions. The ambient temperature is based on the actual local environment (the overall ambient temperature range is 15-25°C), and the data collection frequency is 1Hz. Taking into account the differentiated characteristics of laboratory altitude conditions and the differences between laboratory and actual road test results under the same altitude conditions, the actual road conditions in Jianshui (700 meters) and Kunming (1900 meters) were selected to carry out testing and evaluation of the performance of monitoring equipment.

[0073] Table 2 Measurement parameters of main pollutants of OBD-ONE

[0074]

[0075] In the actual road tests of light-duty vehicles, heavy-duty vehicles and non-road diesel machinery, test tests were carried out for the first time in accordance with the actual road emission test technical specifications in the three standards GB18352.6-2016, GB17691-2018 and HJ1014-2020. The driving recorder was used to record information such as vehicle speed and route, and to form an actual road test operating condition characteristic curve. In subsequent tests, actual road tests were carried out according to the same operating condition curve to control deviations in test results due to differences in roads and operating conditions.

[0076] Equipment performance evaluation: for different test vehicle types (light and heavy-duty vehicles and non-road diesel machinery), altitudes (three altitude points: 0, 700, and 1900 meters) and temperatures (-7°C and 40°C), based on self-developed equipment (it can also be equipment from other manufacturers, the present invention only takes self-developed equipment as an example, not including the structural composition of self-developed equipment) under laboratory and actual road conditions and CVS and PEMS test transient data, a multi-dimensional evaluation method system is proposed from the aspects of the integrity and accuracy of the measurement data, the reliability and durability of the measurement equipment, etc., to complete the comprehensive evaluation of the performance of the self-developed equipment.

[0077] Example 2

[0078] like Figure 2 As shown, an embodiment of the present invention further proposes an environmental adaptability evaluation system for real-time monitoring equipment of motor vehicle emissions, including: a data acquisition module, used to obtain equipment information of the monitoring equipment to be tested, wherein the equipment information includes: the number of data points actually collected by the monitoring equipment, the number of data points expected to be collected by the monitoring equipment, the expected data collection frequency of the monitoring equipment, the altitude at which the monitoring equipment is located, the time during which the monitoring equipment works normally during the test, the total test time, the failure rate of the monitoring equipment, the response time of the monitoring equipment at the beginning of the test, the response time of the monitoring equipment at the end of the test, and the usage time of the monitoring equipment; a scoring calculation module, used to set a monitoring equipment evaluation model, and calculate a comprehensive performance score of the monitoring equipment based on the equipment information, wherein the monitoring equipment evaluation model includes: calculating the integrity score of the data collected by the monitoring equipment, the accuracy score of the data collected by the monitoring equipment, the reliability score of the monitoring equipment, and the durability score of the monitoring equipment; an evaluation module, used to evaluate the monitoring equipment based on the comprehensive performance score of the monitoring equipment.

[0079] Specifically, the monitoring equipment evaluation model includes:

[0080]

[0081] Among them, S is the comprehensive performance score of the monitoring equipment, W I is the integrity weight of the data collected by the monitoring device, I is the integrity score of the data collected by the monitoring device, a is the data integrity adjustment factor, and w A is the accuracy weight of the data collected by the monitoring device, A is the accuracy score of the data collected by the monitoring device, b is the data accuracy adjustment factor, and w R is the reliability weight of the monitoring equipment, R is the reliability score of the monitoring equipment, c is the reliability adjustment factor of the monitoring equipment, and w D is the weight of the monitoring equipment durability, D is the monitoring equipment durability score, and d is the monitoring equipment durability adjustment factor.

[0082] Specifically, the integrity score I of the data collected by the monitoring equipment includes:

[0083]

[0084] Among them, N collected N is the number of data points actually collected by the monitoring device, expected is the number of data points expected to be collected by the monitoring equipment, k1 is the impact factor of altitude on data integrity, and f data is the expected data collection frequency of the monitoring equipment, E env is the altitude of the monitoring equipment, σ data The standard deviation of the data collected by the monitoring device.

[0085] Specifically, the accuracy score A of the data collected by the monitoring device includes:

[0086]

[0087] Among them, w i is the weight of the i-th data point, n is the number of data points, X i，self is the measured value of the i-th data point of the monitoring device, X i，ref is the measured value of the i-th data point of the standard equipment, k4 is the influence factor of altitude on data accuracy, E env The altitude at which the monitoring device is located.

[0088] Specifically, the monitoring equipment reliability score R includes:

[0089]

[0090] Among them, T normal To monitor the time the equipment is working normally during the test, T total is the total test time, k2 is the influence factor of altitude on the reliability of monitoring equipment, E env is the altitude of the monitoring equipment, k5 is the failure rate influencing factor, F rate To monitor the failure rate of equipment.

[0091] Specifically, the durability score D of the monitoring equipment includes:

[0092]

[0093] Among them, P end The response time of the monitoring device at the beginning of the test, P start is the response time of the monitoring equipment at the end of the test, k3 is the influence factor of altitude on the durability of the monitoring equipment, E envis the altitude of the monitoring equipment, k6 is the influence factor of the use time on the durability of the monitoring equipment, T usage To monitor the usage time of the equipment, T total is the total test time.

[0094] Example 3

[0095] The embodiment of the present invention further provides a storage medium storing a plurality of instructions, wherein the instructions are used to implement the environmental adaptability evaluation method of a real-time monitoring device for motor vehicle emissions.

[0096] Optionally, in this embodiment, the above storage medium can be located in any one of the computer terminals in the computer terminal group in the computer network, or in any one of the mobile terminals in the mobile terminal group. Optionally, in this embodiment, the storage medium is configured to store program codes for executing the following steps: Step 101, obtaining device information of the monitoring device to be tested, wherein the device information includes: the number of data points actually collected by the monitoring device, the number of data points expected to be collected by the monitoring device, the expected data collection frequency of the monitoring device, the altitude at which the monitoring device is located, the normal working time of the monitoring device during the test, the total test time, the failure rate of the monitoring device, the response time of the monitoring device at the beginning of the test, the response time of the monitoring device at the end of the test, and the use time of the monitoring device; Step 102, setting a monitoring device evaluation model, and calculating the comprehensive performance score of the monitoring device based on the device information, wherein the monitoring device evaluation model includes: calculating the integrity score of the data collected by the monitoring device, the accuracy score of the data collected by the monitoring device, the reliability score of the monitoring device, and the durability score of the monitoring device; Step 103, evaluating the monitoring device based on the comprehensive performance score of the monitoring device.

[0097] Specifically, the monitoring equipment evaluation model includes:

[0098]

[0099] Among them, S is the comprehensive performance score of the monitoring equipment, w I is the integrity weight of the data collected by the monitoring device, I is the integrity score of the data collected by the monitoring device, a is the data integrity adjustment factor, and w A is the accuracy weight of the data collected by the monitoring device, A is the accuracy score of the data collected by the monitoring device, b is the data accuracy adjustment factor, and w R is the reliability weight of the monitoring equipment, R is the reliability score of the monitoring equipment, c is the reliability adjustment factor of the monitoring equipment, and w D is the weight of the monitoring equipment durability, D is the monitoring equipment durability score, and d is the monitoring equipment durability adjustment factor.

[0100] Specifically, the integrity score I of the data collected by the monitoring equipment includes:

[0101]

[0102] Among them, N collected N is the number of data points actually collected by the monitoring device, expected is the number of data points expected to be collected by the monitoring equipment, k1 is the impact factor of altitude on data integrity, and f data is the expected data collection frequency of the monitoring equipment, E env is the altitude of the monitoring equipment, σ data The standard deviation of the data collected by the monitoring device.

[0103] Specifically, the accuracy score A of the data collected by the monitoring device includes:

[0104]

[0105] Among them, w i is the weight of the i-th data point, n is the number of data points, X i，self is the measured value of the i-th data point of the monitoring device, X i，ref is the measured value of the i-th data point of the standard equipment, k4 is the influence factor of altitude on data accuracy, E env The altitude at which the monitoring device is located.

[0106] Specifically, the monitoring equipment reliability score R includes:

[0107]

[0108] Among them, T normal To monitor the time the equipment is working normally during the test, T total is the total test time, k2 is the influence factor of altitude on the reliability of monitoring equipment, E env is the altitude of the monitoring equipment, k5 is the failure rate influencing factor, F rate To monitor the failure rate of equipment.

[0109] Specifically, the durability score D of the monitoring equipment includes:

[0110]

[0111] Among them, P end The response time of the monitoring device at the beginning of the test, P start is the response time of the monitoring equipment at the end of the test, k3 is the influence factor of altitude on the durability of the monitoring equipment, E envis the altitude of the monitoring equipment, k6 is the influence factor of the use time on the durability of the monitoring equipment, T usage To monitor the usage time of the equipment, T total is the total test time.

[0112] Example 4

[0113] An embodiment of the present invention also proposes an electronic device, including a processor and a storage medium connected to the processor, wherein the storage medium stores multiple instructions, and the instructions can be loaded and executed by the processor to enable the processor to execute a method for evaluating the environmental adaptability of a real-time monitoring device for motor vehicle emissions.

[0114] Specifically, the electronic device of this embodiment may be a computer terminal, and the computer terminal may include: one or more processors, and a storage medium. Among them, the storage medium can be used to store software programs and modules, such as a method for evaluating environmental adaptability of a real-time monitoring device for motor vehicle emissions in an embodiment of the present invention, and corresponding program instructions / modules. The processor executes various functional applications and data processing by running the software programs and modules stored in the storage medium, that is, realizing the above-mentioned method for evaluating environmental adaptability of a real-time monitoring device for motor vehicle emissions. The storage medium may include a high-speed random storage medium, and may also include a non-volatile storage medium, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state storage media. In some instances, the storage medium may further include a storage medium remotely arranged relative to the processor, and these remote storage media may be connected to the terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0115] The processor can call the information and application stored in the storage medium through the transmission system to execute the following steps: Step 101, obtaining the device information of the monitoring device to be tested, wherein the device information includes: the number of data points actually collected by the monitoring device, the number of data points expected to be collected by the monitoring device, the expected data collection frequency of the monitoring device, the altitude at which the monitoring device is located, the normal working time of the monitoring device during the test, the total test time, the failure rate of the monitoring device, the response time of the monitoring device at the beginning of the test, the response time of the monitoring device at the end of the test, and the usage time of the monitoring device; Step 102, setting a monitoring device evaluation model, and calculating the comprehensive performance score of the monitoring device based on the device information, wherein the monitoring device evaluation model includes: calculating the integrity score of the data collected by the monitoring device, the accuracy score of the data collected by the monitoring device, the reliability score of the monitoring device, and the durability score of the monitoring device; Step 103, evaluating the monitoring device based on the comprehensive performance score of the monitoring device.

[0116] Specifically, the monitoring equipment evaluation model includes:

[0117]

[0118] Among them, S is the comprehensive performance score of the monitoring equipment, W I is the integrity weight of the data collected by the monitoring device, I is the integrity score of the data collected by the monitoring device, a is the data integrity adjustment factor, and w A is the accuracy weight of the data collected by the monitoring device, A is the accuracy score of the data collected by the monitoring device, b is the data accuracy adjustment factor, and w R is the reliability weight of the monitoring equipment, R is the reliability score of the monitoring equipment, c is the reliability adjustment factor of the monitoring equipment, and w D is the weight of the monitoring equipment durability, D is the monitoring equipment durability score, and d is the monitoring equipment durability adjustment factor.

[0119] Specifically, the integrity score I of the data collected by the monitoring equipment includes:

[0120]

[0121] Among them, N collected N is the number of data points actually collected by the monitoring device, expected is the number of data points expected to be collected by the monitoring equipment, k1 is the impact factor of altitude on data integrity, and f data is the expected data collection frequency of the monitoring equipment, E env is the altitude of the monitoring equipment, σ data The standard deviation of the data collected by the monitoring device.

[0122] Specifically, the accuracy score A of the data collected by the monitoring device includes:

[0123]

[0124] Among them, w i is the weight of the i-th data point, n is the number of data points, X i，self is the measured value of the i-th data point of the monitoring device, X i，ref is the measured value of the i-th data point of the standard equipment, k4 is the influence factor of altitude on data accuracy, E env The altitude at which the monitoring device is located.

[0125] Specifically, the monitoring equipment reliability score R includes:

[0126]

[0127] Among them, T normalTo monitor the time the equipment is working normally during the test, T total is the total test time, k2 is the influence factor of altitude on the reliability of monitoring equipment, E env is the altitude of the monitoring equipment, k5 is the failure rate influencing factor, F rate To monitor the failure rate of equipment.

[0128] Specifically, the durability score D of the monitoring equipment includes:

[0129]

[0130] Among them, P end The response time of the monitoring device at the beginning of the test, P satart is the response time of the monitoring equipment at the end of the test, k3 is the influence factor of altitude on the durability of the monitoring equipment, E env is the altitude of the monitoring equipment, k6 is the influence factor of the use time on the durability of the monitoring equipment, T usage To monitor the usage time of the equipment, T totak is the total test time.

[0131] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0132] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0133] In the several embodiments provided by the present invention, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the system embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0134] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0135] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0136] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only storage medium (ROM, Read-Only Memory), random access storage medium (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0137] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A method for evaluating the environmental adaptability of a real-time monitoring device for motor vehicle emissions, characterized in that: include: Obtaining device information of the monitoring device to be tested, wherein the device information includes: the number of data points actually collected by the monitoring device, the number of data points expected to be collected by the monitoring device, the expected data collection frequency of the monitoring device, the altitude at which the monitoring device is located, the normal working time of the monitoring device during the test, the total test time, the failure rate of the monitoring device, the response time of the monitoring device at the beginning of the test, the response time of the monitoring device at the end of the test, and the usage time of the monitoring device; Setting a monitoring equipment evaluation model, and calculating a comprehensive performance score of the monitoring equipment based on the equipment information, wherein the monitoring equipment evaluation model includes: calculating a completeness score of data collected by the monitoring equipment, an accuracy score of data collected by the monitoring equipment, a reliability score of the monitoring equipment, and a durability score of the monitoring equipment; The monitoring equipment is evaluated according to the comprehensive performance score of the monitoring equipment.

2. A method for evaluating environmental adaptability of a real-time monitoring device for motor vehicle emissions as claimed in claim 1, characterized in that: The monitoring equipment evaluation model includes: Among them, S is the comprehensive performance score of the monitoring equipment, w I is the integrity weight of the data collected by the monitoring device, O is the integrity score of the data collected by the monitoring device, a is the data integrity adjustment factor, and w A is the accuracy weight of the data collected by the monitoring device, A is the accuracy score of the data collected by the monitoring device, b is the data accuracy adjustment factor, and w R is the reliability weight of the monitoring equipment, R is the reliability score of the monitoring equipment, c is the reliability adjustment factor of the monitoring equipment, and w D is the weight of the monitoring equipment durability, D is the monitoring equipment durability score, and d is the monitoring equipment durability adjustment factor.

3. A method for evaluating environmental adaptability of a real-time monitoring device for motor vehicle emissions as claimed in claim 2, characterized in that: The integrity score I of the data collected by the monitoring equipment includes: Among them, N collected N is the number of data points actually collected by the monitoring device, expected is the number of data points expected to be collected by the monitoring equipment, k1 is the impact factor of altitude on data integrity, and f data is the expected data collection frequency of the monitoring equipment, E env is the altitude of the monitoring equipment, σ data The standard deviation of the data collected by the monitoring device.

4. A method for evaluating environmental adaptability of a real-time monitoring device for motor vehicle emissions as claimed in claim 2, characterized in that: The accuracy score A of the data collected by the monitoring device includes: Among them, w i is the weight of the i-th data point, n is the number of data points, X i，self is the measured value of the i-th data point of the monitoring device, X i，ref is the measured value of the i-th data point of the standard equipment, k4 is the influence factor of altitude on data accuracy, E env The altitude at which the monitoring device is located.

5. The environmental adaptability evaluation method of a real-time vehicle emission monitoring device according to claim 2, characterized in that: The monitoring equipment reliability score R includes: Among them, T normal To monitor the time the equipment is working normally during the test, T total is the total test time, k2 is the influence factor of altitude on the reliability of monitoring equipment, E env is the altitude of the monitoring equipment, k5 is the failure rate influencing factor, F rate To monitor the failure rate of equipment.

6. A method for evaluating environmental adaptability of a real-time monitoring device for motor vehicle emissions as claimed in claim 2, characterized in that: The monitoring equipment durability score D includes: Among them, P end The response time of the monitoring device at the beginning of the test, P start is the response time of the monitoring equipment at the end of the test, k3 is the influence factor of altitude on the durability of the monitoring equipment, E env is the altitude of the monitoring equipment, k6 is the influence factor of the use time on the durability of the monitoring equipment, T usage To monitor the usage time of the equipment, T total is the total test time.

7. A system for evaluating environmental adaptability of real-time monitoring equipment for motor vehicle emissions, characterized in that: include: A data acquisition module is used to acquire device information of the monitoring device to be tested, wherein the device information includes: the number of data points actually collected by the monitoring device, the number of data points expected to be collected by the monitoring device, the expected data collection frequency of the monitoring device, the altitude at which the monitoring device is located, the normal working time of the monitoring device during the test, the total test time, the failure rate of the monitoring device, the response time of the monitoring device at the beginning of the test, the response time of the monitoring device at the end of the test, and the usage time of the monitoring device; A scoring calculation module is used to set a monitoring equipment evaluation model and calculate the comprehensive performance score of the monitoring equipment according to the equipment information, wherein the monitoring equipment evaluation model includes: calculating the integrity score of the data collected by the monitoring equipment, the accuracy score of the data collected by the monitoring equipment, the reliability score of the monitoring equipment and the durability score of the monitoring equipment; An evaluation module is used to evaluate the monitoring device according to the comprehensive performance score of the monitoring device.

8. The environmental adaptability evaluation system for real-time monitoring equipment for motor vehicle emissions according to claim 7, characterized in that: The monitoring equipment evaluation model includes: Among them, S is the comprehensive performance score of the monitoring equipment, W I is the integrity weight of the data collected by the monitoring device, I is the integrity score of the data collected by the monitoring device, a is the data integrity adjustment factor, and w A is the accuracy weight of the data collected by the monitoring device, A is the accuracy score of the data collected by the monitoring device, b is the data accuracy adjustment factor, and w R is the reliability weight of the monitoring equipment, R is the reliability score of the monitoring equipment, c is the reliability adjustment factor of the monitoring equipment, and w D is the weight of the monitoring equipment durability, D is the monitoring equipment durability score, and d is the monitoring equipment durability adjustment factor.

9. The environmental adaptability evaluation system for real-time monitoring equipment for motor vehicle emissions according to claim 8, characterized in that: The integrity score I of the data collected by the monitoring equipment includes: Among them, N collected N is the number of data points actually collected by the monitoring device, expected is the number of data points expected to be collected by the monitoring equipment, k1 is the impact factor of altitude on data integrity, and f data is the expected data collection frequency of the monitoring equipment, E env is the altitude of the monitoring equipment, σ data The standard deviation of the data collected by the monitoring device.

10. The environmental adaptability evaluation system for real-time monitoring equipment for motor vehicle emissions according to claim 8, characterized in that: The accuracy score A of the data collected by the monitoring device includes: Among them, w i is the weight of the i-th data point, n is the number of data points, X i，self is the measured value of the i-th data point of the monitoring device, X i，ref is the measured value of the i-th data point of the standard equipment, k4 is the influence factor of altitude on data accuracy, E env To monitor the altitude of the equipment; The monitoring equipment reliability score R includes: Among them, T normal To monitor the time the equipment is working normally during the test, T total is the total test time, k2 is the influence factor of altitude on the reliability of monitoring equipment, E env is the altitude of the monitoring equipment, k5 is the failure rate influencing factor, F rate To monitor the failure rate of equipment; The monitoring equipment durability score D includes: Among them, P end The response time of the monitoring device at the beginning of the test, P start is the response time of the monitoring equipment at the end of the test, k3 is the influence factor of altitude on the durability of the monitoring equipment, E env is the altitude of the monitoring equipment, k6 is the influence factor of the use time on the durability of the monitoring equipment, T usage To monitor the usage time of the equipment, T total is the total test time.

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