Whole vehicle reliability test progress dynamic evaluation system

Abstract

The invention discloses a vehicle reliability test progress dynamic evaluation system, which relates to the field of vehicle tests and comprises a load spectrum acquisition module, a vehicle-mounted terminal and a cloud platform. The load spectrum acquisition module is used for acquiring data of load spectrums of the test vehicle key parts; the vehicle-mounted terminal is used for receiving the data of the load spectrum of the key and heavy parts, sending the data to the cloud platform and locally processing the data of the load spectrum of the key and heavy parts; the cloud platform is used for data interaction and man-machine remote interaction with the vehicle-mounted terminal; wherein the vehicle-mounted terminal comprises a data cleaning module; the data cleaning module is used for preprocessing the received load spectrum data; the vehicle-mounted terminal is used for local processing of load spectrum data of key and heavy parts, and the data cleaning module preprocesses the received load spectrum data, including removing burrs, null values and noise and purifying the load spectrum data of the key and heavy parts.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of whole vehicle test, in particular to a whole vehicle reliability test progress dynamic evaluation system, a whole vehicle reliability test progress dynamic evaluation method, an alarm threshold setting method, a sensor application method, a whole vehicle reliability test progress dynamic evaluation device, an electronic device, a storage medium and a test platform. BACKGROUND

[0002] The current whole vehicle reliability test takes the test vehicle mileage as the evaluation index to evaluate the whole vehicle reliability test progress, that is, the test vehicle mileage reaches the specified mileage, and it is considered that the reliability test is completed. According to different reliability targets, the reliability test generally lasts for several months, during which the test road roughness, driver speed control, driving habit change and the like will affect the accuracy of the reliability test.

[0003] In order to improve the accuracy of the reliability test, the current related invention is to collect vehicle position information and the like, so as to realize monitoring of the reliability test process. For example, a whole vehicle reliability test process monitoring and statistical method and system-CN114971326A is monitored by means of electronic fence; a method and system for monitoring whole vehicle durability test process-CN116358896A is monitored by recording the position of the vehicle. The above are all based on the traditional test mileage as the evaluation index of the reliability test progress, supplemented by application management means to standardize the test execution, which can only reduce the influence of the speed non-compliance, edge pressing and the like caused by the subjective reasons of the driver on the accuracy of the reliability test to a certain extent, and cannot avoid the influence caused by the roadside roughness change and the objective reasons of the driver.

[0004] The whole vehicle reliability test specification is based on the principle of pseudo-damage equivalence, associates the defined user usage scenarios with the test site, and is executed according to the specified characteristic road, specified speed and specified mileage to achieve the verification purpose.

[0005] Therefore, a whole vehicle reliability test progress dynamic evaluation scheme is needed, which can completely monitor the pseudo-damage of the critical components in the whole vehicle reliability test process at low cost and high efficiency, and perform real-time statistical analysis, so as to fundamentally solve the influence of the road roughness change, non-standard speed and edge pressing and the like on the reliability test, and improve the accuracy of the whole vehicle reliability test. SUMMARY

[0006] The application aims to provide a whole vehicle reliability test progress dynamic evaluation system, a whole vehicle reliability test progress dynamic evaluation method, an alarm threshold setting method, a sensor application method, a whole vehicle reliability test progress dynamic evaluation device, an electronic device, a storage medium and a test platform, at least solve one of the problems of how to monitor the false damage of a key part in a whole vehicle reliability test process at low cost and high efficiency, how to realize real-time statistical analysis, how to set an alarm threshold, and how to optimize the sensor to build a test.

[0007] The application provides the following solutions:

[0008] According to a first aspect of the application, a whole vehicle reliability test progress dynamic evaluation system is provided, which comprises a load spectrum acquisition module, a vehicle terminal and a cloud platform.

[0009] The load spectrum acquisition module is used to acquire data of a key part load spectrum of a test vehicle.

[0010] The vehicle terminal is used to receive the data of the key part load spectrum and send it to the cloud platform, and locally process the key part load spectrum data.

[0011] The cloud platform is used for data interaction with the vehicle terminal and human-computer remote interaction.

[0012] The vehicle terminal comprises a data cleaning module.

[0013] The data cleaning module is used to preprocess the received load spectrum data.

[0014] Based on the local processing of the key part load spectrum data by the vehicle terminal, the preprocessing of the received load spectrum data by the data cleaning module comprises removing burrs, null values and noise, and purifying the key part load spectrum data.

[0015] Further, the load spectrum acquisition module comprises a sensor, a data acquisition instrument and a computer.

[0016] The sensor is used to acquire an analog signal of a key part of a test vehicle.

[0017] The data acquisition instrument is used to receive the analog signal acquired by the sensor and generate load spectrum data.

[0018] The computer is used to adjust the parameter setting of the data acquisition instrument.

[0019] The data acquisition requirement information is acquired.

[0020] According to the data acquisition requirement information, the analog signals of strain, acceleration, displacement, torque and pressure of the key part of the test vehicle are acquired.

[0021] The data acquisition instrument further comprises storing and amplifying and digital-analog converting the received analog signal to generate load spectrum data and sending the load spectrum data to the vehicle-mounted terminal.

[0022] Further, the vehicle-mounted terminal further comprises a data communication module and an edge computing module.

[0023] The data communication module is configured to receive the load spectrum data sent by the data acquisition instrument and send the load spectrum data of the critical component processed by the vehicle-mounted terminal to the cloud platform.

[0024] The edge computing module is configured to receive the load spectrum data of the critical component preprocessed by the data cleaning module and perform statistical calculation.

[0025] According to the statistical calculation of the edge computing module, the pseudo-damage value of the critical component is obtained.

[0026] According to the data communication module for sending data to the cloud platform, the pseudo-damage value of the critical component is sent to the cloud platform through the data communication module.

[0027] Further, the cloud platform comprises a task management module, a data management module, an abnormal data alarm module and a test progress calculation module.

[0028] The task management module is configured to issue an edge computing task, a data cleaning model and an edge computing model to the vehicle-mounted terminal.

[0029] The data management module is configured to receive and store the data sent by the vehicle-mounted terminal.

[0030] The abnormal data alarm module is configured to set an alarm threshold of abnormal data and display alarm information.

[0031] The test progress calculation module is configured to read the data in the data management module, obtain the current pseudo-damage value and the pseudo-damage progress, and perform human-computer interaction display.

[0032] The data management module receives a human-computer interaction instruction, which is configured to set the alarm threshold of abnormal data.

[0033] According to the set alarm threshold of abnormal data, the test progress calculation module obtains the current pseudo-damage value and the pseudo-damage progress.

[0034] The data management module receives the data sent by the vehicle-mounted terminal, including the table output of the test log to the human-computer interaction terminal.

[0035] According to a second aspect of the present application, a whole vehicle reliability test progress dynamic evaluation method is provided, which is based on a whole vehicle reliability test progress dynamic evaluation system. The whole vehicle reliability test progress dynamic evaluation method comprises the following steps: installation and deployment, and load spectrum acquisition test.

[0036] The step of installing and deploying comprises:

[0037] Step 1a, installing a sensor and a data acquisition instrument;

[0038] Step 2a, using a computer to set parameters of the data acquisition instrument;

[0039] Step 3a, judging whether the sensor and the data acquisition instrument work normally;

[0040] If not, return to step 1a;

[0041] Step 1b, installing a vehicle-mounted terminal;

[0042] Step 2b, using a computer to set parameters of a communication module of the vehicle-mounted terminal;

[0043] Step 3b, judging whether the communication module works normally;

[0044] If not, return to step 1b;

[0045] Step 1c, creating a dynamic evaluation task of reliability test progress;

[0046] Step 2c, configuring a data cleaning model and an edge computing model;

[0047] Step 3c, respectively deploying the data cleaning model and the edge computing model to the vehicle-mounted terminal.

[0048] Further, the step of the load spectrum acquisition test comprises:

[0049] Step 4, based on the step of installing and deploying, performing a load spectrum acquisition test;

[0050] Step 5, judging whether the load spectrum is valid;

[0051] If not, return to step 4; if yes, enter step 6;

[0052] Step 6, judging whether the vehicle-mounted terminal works normally;

[0053] If not, return to step 2c; if yes, enter step 7;

[0054] Step 7, after configuring an abnormal data alarm module and a test progress calculation module of a cloud platform, enter step 8;

[0055] Step 8, starting a whole vehicle reliability test;

[0056] Step 9, judging whether the test progress reaches 100%;

[0057] If not, go to step 8 to continue the whole vehicle reliability test; if yes, go to step 10;

[0058] Step 10, end the test.

[0059] According to a third aspect of the present application, a warning threshold setting method is provided, which is based on the whole vehicle reliability test progress dynamic evaluation method, and the warning threshold setting method comprises:

[0060] Step 11, obtain information of test inspection interval, edge computing period, reliability test temporary interruption, and single cycle test time;

[0061] According to the whole vehicle reliability test and the four factors of inspection interval, edge computing period, reliability test temporary interruption, and single cycle test time, the number of cycles in each edge computing period is determined;

[0062] Step 12, obtain the data acquisition result based on the load spectrum;

[0063] According to the data acquisition result of the load spectrum, the pseudo-damage value of each signal in a single cycle is calculated, denoted as Di, wherein i is the number of channels;

[0064] Step 13, based on the fact that each cycle of the whole vehicle reliability test has a certain discreteness, 8 times of the dispersion is used when calculating the threshold;

[0065] Wherein, when the minimum cycle number is 1, the pseudo-damage range is 1 / 8×Di to 8×Di;

[0066] When the maximum cycle number is 4, the pseudo-damage range is 1 / 8×4×Di to 8×4×Di;

[0067] Comprehensive of the minimum cycle number and the maximum cycle number, the reasonable range of the pseudo-damage value of each signal in each edge computing period is 1 / 8×Di to 8×4×Di;

[0068] Step 14, set two groups of thresholds according to the state of the current whole vehicle reliability test progress dynamic evaluation;

[0069] Wherein, the first group of thresholds comprises a threshold lower limit of a fixed value 1E5 and a threshold upper limit of 1 / 8×Di;

[0070] The second group of thresholds comprises a threshold lower limit of 8×4×Di and a threshold upper limit of a fixed value 1E20.

[0071] According to a fourth aspect of the present application, a sensor application method is provided, which is based on the whole vehicle reliability test progress dynamic evaluation method, and the sensor application method comprises:

[0072] Use a packaged sensor to replace a strain gauge;

[0073] The linear relationship between the pseudo-damage value calculated based on the acceleration sensor signal of the vehicle key component and the pseudo-damage value calculated based on the strain value of the close position satisfies a preset corresponding relationship, and the acceleration sensor is used instead of the strain gauge.

[0074] According to a fifth aspect of the present application, a whole vehicle reliability test progress dynamic evaluation device is provided, which comprises a module for installation and deployment and a module for load spectrum collection test.

[0075] The module for installation and deployment is configured to:

[0076] Step 1a, install sensors and a data acquisition instrument;

[0077] Step 2a, use a computer to set parameters for the data acquisition instrument;

[0078] Step 3a, determine whether the sensors and the data acquisition instrument are working normally;

[0079] If not, return to step 1a;

[0080] Step 1b, install a vehicle-mounted terminal;

[0081] Step 2b, use a computer to set parameters for the communication module of the vehicle-mounted terminal;

[0082] Step 3b, determine whether the communication module is working normally;

[0083] If not, return to step 1b;

[0084] Step 1c, create a reliability test progress dynamic evaluation task;

[0085] Step 2c, configure a data cleaning model and an edge computing model;

[0086] Step 3c, respectively distribute and deploy the data cleaning model and the edge computing model to the vehicle-mounted terminal;

[0087] The module for load spectrum collection test is configured to:

[0088] Step 4, based on the completion of the installation and deployment step, perform a load spectrum collection test;

[0089] Step 5, determine whether the load spectrum is valid;

[0090] If not, return to step 4; if valid, proceed to step 6;

[0091] Step 6, determine whether the vehicle-mounted terminal is working normally;

[0092] If not, go back to step 2c; if yes, go to step 7;

[0093] Step 7, configure the abnormal data alarm module and the test progress calculation module of the cloud platform, and go to step 8;

[0094] Step 8, start the whole vehicle reliability test;

[0095] Step 9, judge whether the test progress reaches 100%;

[0096] If not, go back to step 8 to continue the whole vehicle reliability test; if yes, go to step 10;

[0097] Step 10, end the test.

[0098] According to a sixth aspect of the present application, an electronic device is provided, comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus;

[0099] The memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the whole vehicle reliability test progress dynamic evaluation method.

[0100] According to a seventh aspect of the present application, a computer readable storage medium is provided, which stores a computer program executable by an electronic device, and when the computer program runs on the electronic device, the electronic device executes the steps of the whole vehicle reliability test progress dynamic evaluation method.

[0101] According to an eighth aspect of the present application, a test platform is provided, comprising:

[0102] An electronic device is used to implement the steps of the whole vehicle reliability test progress dynamic evaluation method;

[0103] A processor runs a program, and when the program runs, the steps of the whole vehicle reliability test progress dynamic evaluation method are executed on the data output from the electronic device;

[0104] A storage medium is used to store the program, and when the program runs, the steps of the whole vehicle reliability test progress dynamic evaluation method are executed on the data output from the electronic device.

[0105] Through the above scheme, the following beneficial technical effects are obtained:

[0106] The present application takes pseudo damage as an evaluation index of reliability test progress, which well solves the influence of factors such as road unevenness change, non-standard vehicle speed, driving under the influence of edge, etc. on reliability test, and has high precision.

[0107] The application realizes the strategy of taking pseudo-damage as the evaluation index of the reliability test progress through the whole vehicle reliability test progress dynamic evaluation.

[0108] The application sets the alarm threshold by considering 8 times the dispersion, so that the evaluation process and result are more reasonable.

[0109] The application solves the problem of poor stability of the strain test system by using a packaged sensor instead of a strain gauge. BRIEF DESCRIPTION OF DRAWINGS

[0110] Figure 1 is a structural diagram of a whole vehicle reliability test progress dynamic evaluation system provided by one or more embodiments of the application.

[0111] Figure 2 is a flowchart of a whole vehicle reliability test progress dynamic evaluation method provided by one or more embodiments of the application.

[0112] Figure 3 is a flowchart of an alarm threshold setting method provided by one or more embodiments of the application.

[0113] Figure 4 is a flowchart of a sensor application method provided by one or more embodiments of the application.

[0114] Figure 5 is a structural diagram of a whole vehicle reliability test progress dynamic evaluation device provided by one or more embodiments of the application.

[0115] Figure 6 is an electronic device structural block diagram of a whole vehicle reliability test progress dynamic evaluation method provided by one or more embodiments of the application. DETAILED DESCRIPTION

[0116] The technical solutions of the application will be described below in detail with reference to the drawings. Obviously, the described embodiments are part of the embodiments of the application, rather than all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the application.

[0117] Figure 1 is a structural diagram of a whole vehicle reliability test progress dynamic evaluation system provided by one or more embodiments of the application.

[0118] As Figure 1 shown, the whole vehicle reliability test progress dynamic evaluation system comprises a load spectrum acquisition module, a vehicle-mounted terminal and a cloud platform.

[0119] The load spectrum acquisition module is used to acquire data of the load spectrum of the key parts of the test vehicle.

[0120] The vehicle terminal is used for receiving the data of the critical component load spectrum and sending to the cloud platform, and local processing of the critical component load spectrum data;

[0121] The cloud platform is used for data interaction with the vehicle terminal and human-computer remote interaction;

[0122] The vehicle terminal comprises a data cleaning module;

[0123] The data cleaning module is used for preprocessing the received load spectrum data;

[0124] Based on the local processing of the critical component load spectrum data by the vehicle terminal, the preprocessing of the received load spectrum data by the data cleaning module comprises eliminating burrs, null values and noises, and purifying the critical component load spectrum data.

[0125] In the embodiment, the load spectrum acquisition module comprises a sensor, a data acquisition instrument and a computer;

[0126] The sensor is used for acquiring the analog signal of the critical component of the test vehicle;

[0127] The data acquisition instrument is used for receiving the analog signal acquired by the sensor and generating load spectrum data;

[0128] The computer is used for adjusting the parameter setting of the data acquisition instrument;

[0129] The data acquisition requirement information is acquired;

[0130] According to the data acquisition requirement information, the analog signals of the strain, acceleration, displacement, torque and pressure of the critical component of the test vehicle are acquired;

[0131] The data acquisition instrument further comprises storing the received analog signals, amplifying and digital-analog converting the received analog signals to generate load spectrum data and sending the load spectrum data to the vehicle terminal.

[0132] In the embodiment, the vehicle terminal further comprises a data communication module and an edge computing module;

[0133] The data communication module is used for receiving the load spectrum data sent by the data acquisition instrument and sending the critical component load spectrum data processed locally by the vehicle terminal to the cloud platform;

[0134] The edge computing module is used for receiving the critical component load spectrum data preprocessed by the data cleaning module and then performing statistical calculation;

[0135] According to the statistical calculation of the edge computing module, the critical component pseudo-damage value is obtained;

[0136] According to the data communication module for sending data to the cloud platform, the critical component pseudo-damage value is sent to the cloud platform through the data communication module.

[0137] In the embodiment, the cloud platform comprises a task management module, a data management module, an abnormal data alarm module and a test progress calculation module.

[0138] The task management module is configured to issue an edge computing task, a data cleaning model and an edge computing model to the vehicle terminal.

[0139] The data management module is configured to receive and store data sent by the vehicle terminal.

[0140] The abnormal data alarm module is configured to set an alarm threshold of abnormal data and display alarm information.

[0141] The test progress calculation module is configured to read data in the data management module, obtain a current pseudo-damage value and a pseudo-damage progress, and perform human-computer interaction display.

[0142] The data management module receives a human-computer interaction instruction, and is configured to set the alarm threshold of abnormal data.

[0143] According to the set alarm threshold of abnormal data, the test progress calculation module obtains the current pseudo-damage value and the pseudo-damage progress.

[0144] The data management module receives data sent by the vehicle terminal, and outputs a table of test logs to the human-computer interaction terminal.

[0145] Specifically, as shown in Figure 1 the whole vehicle reliability test progress dynamic evaluation system comprises a load spectrum acquisition module, a vehicle terminal and a cloud platform. The load spectrum acquisition module comprises a sensor, a data acquisition instrument and a computer. The vehicle terminal comprises a data communication module, a data cleaning module and an edge computing module. The cloud platform comprises a task management module, a data management module, an abnormal data alarm module and a test progress calculation module.

[0146] Further, the load spectrum acquisition module is configured to acquire the load spectrum of the test vehicle key components in real time, which is the basis for realizing the whole vehicle reliability test progress dynamic evaluation. According to different requirements, appropriate sensors are selected to obtain strain, acceleration, displacement, torque, pressure and other analog signal of the test vehicle key components. The data acquisition instrument mainly comprises a signal amplifier, a digital-to-analog converter and a storage device, which is configured to receive and store the analog signal sent by the sensor, and send the load spectrum to the vehicle terminal. The computer is configured to adjust the parameter setting of the data acquisition instrument.

[0147] Furthermore, unlike conventional T-BOXs, the vehicle-mounted terminal, in addition to its basic functions of receiving various signals and sending them to the cloud platform, can also perform data processing functions. Specifically: the data communication module receives various signals sent by the vehicle bus and data acquisition unit and uploads them to the cloud platform. The data cleaning module preprocesses the received load spectrum, removing glitch, null values, noise, etc., to obtain a clean load spectrum. The edge computing module calculates various statistics from the load spectrum. In the dynamic evaluation system and method for vehicle reliability testing progress in this application, the edge computing module calculates the pseudo-damage values ​​of critical components.

[0148] Furthermore, the cloud platform interacts with the vehicle-mounted terminal on one hand, including but not limited to issuing edge computing tasks, data cleaning models, and edge computing models to the vehicle-mounted terminal; on the other hand, it interacts with engineers, including but not limited to displaying vehicle numbers, pseudo-damage progress, and alarm information. Specifically: the task management module issues edge computing tasks, data cleaning models, and edge computing models to the vehicle-mounted terminal, and can be flexibly adjusted according to different data analysis needs. Edge computing tasks can be terminated through the task management module after the test. The data management module receives and stores the calculation results sent by the vehicle-mounted terminal, supporting export as a table in the form of test logs for convenient offline analysis by engineers. The abnormal data alarm module sets abnormal data alarm thresholds and displays alarm information. When engineers manually modify the abnormal value to within the normal threshold range through the data management module, the alarm prompt is canceled. The test progress calculation module reads data from the data management module, calculates the current pseudo-damage value, and further obtains the pseudo-damage progress, which is displayed through a progress bar. When engineers manually modify the abnormal value to within the normal threshold range through the data management module, the current pseudo-damage value and pseudo-damage progress in the test progress module are also adjusted accordingly.

[0149] Figure 2 This is a flowchart of a method for dynamically evaluating the progress of vehicle reliability testing provided by one or more embodiments of the present invention.

[0150] like Figure 2 The dynamic evaluation method for the progress of vehicle reliability testing shown is based on the dynamic evaluation system for the progress of vehicle reliability testing. The dynamic evaluation method for the progress of vehicle reliability testing includes: the steps of installation and deployment and the steps of load spectrum acquisition test.

[0151] The installation and deployment steps include:

[0152] Step 1a, install the sensor and data acquisition device;

[0153] Step 2a: Use a computer to set the parameters of the data acquisition instrument;

[0154] Step 3a, judge whether the sensor and data acquisition instrument work normally;

[0155] If not, return to step 1a;

[0156] Step 1b, install the vehicle terminal;

[0157] Step 2b, use the computer to set the parameters of the communication module of the vehicle terminal;

[0158] Step 3b, judge whether the communication module works normally;

[0159] If not, return to step 1b;

[0160] Step 1c, create a reliability test progress dynamic evaluation task;

[0161] Step 2c, configure the data cleaning model and the edge computing model;

[0162] Step 3c, deploy the data cleaning model and the edge computing model to the vehicle terminal respectively.

[0163] Further, the steps of the load spectrum acquisition test include:

[0164] Step 4, based on the completion of the installation and deployment step, perform the load spectrum acquisition test;

[0165] Step 5, judge whether the load spectrum is valid;

[0166] If not, return to step 4; if valid, go to step 6;

[0167] Step 6, judge whether the vehicle terminal works normally;

[0168] If not, return to step 2c; if normal, go to step 7;

[0169] Step 7, configure the abnormal data alarm module and the test progress calculation module of the cloud platform, and go to step 8;

[0170] Step 8, start the whole vehicle reliability test;

[0171] Step 9, judge whether the test progress reaches 100%;

[0172] If not, return to step 8 to continue the whole vehicle reliability test; if yes, go to step 10;

[0173] Step 10, end the test.

[0174] Specifically, as shown in the whole vehicle reliability test progress dynamic evaluation method, Figure 2 includes the following steps:

[0175] Step 1a, start the test, install sensors and data acquisition instruments on the test vehicle, and correctly connect the sensors and data acquisition instruments.

[0176] Step 2a, use a computer to set parameters for the data acquisition instrument.

[0177] Step 3a, check the data to determine whether the sensor and data acquisition instrument are working normally, if not, return to step 1a.

[0178] Step 1b, start the test, install the vehicle terminal on the test vehicle.

[0179] Step 2b, use a computer to set parameters for the vehicle terminal communication module.

[0180] Step 3b, determine whether the vehicle terminal communication module is working normally, if not, return to step 1b.

[0181] Step 1c, start the test, create a reliability test progress dynamic evaluation task in the task management module of the cloud platform.

[0182] Step 2c, configure data cleaning models and edge computing models.

[0183] Step 3c, deploy the configured data cleaning models and edge computing models to the data cleaning module and edge computing module of the vehicle terminal respectively.

[0184] The above steps complete the deployment and preliminary debugging of a whole vehicle reliability test progress dynamic evaluation system.

[0185] Step 4, use the deployed whole vehicle reliability test progress dynamic evaluation system to perform load spectrum acquisition test, and the acquired load spectrum is a key input for further debugging, and also can be used to further judge the current state of the system.

[0186] Step 5, determine whether the load spectrum is valid, if not, return to step 4.

[0187] Step 6, perform data analysis on the valid load spectrum to determine whether the vehicle terminal is working normally, focusing on the data cleaning module and edge computing module, if not, return to step 2c.

[0188] Step 7, configure an abnormal data alarm module and a test progress calculation module in the cloud platform.

[0189] Step 8, formally start the whole vehicle reliability test, and apply a whole vehicle reliability test progress dynamic evaluation system and method to perform test progress dynamic evaluation during the process.

[0190] Step 9, whether the test progress reaches 100% is judged according to the test progress bar displayed in the cloud platform, if not, return to step 8 to continue the test.

[0191] Step 10, the test is ended.

[0192] Figure 3 is a flowchart of an alarm threshold setting method provided by one or more embodiments of the application.

[0193] As Figure 3 indicated in the alarm threshold setting method, based on the whole vehicle reliability test progress dynamic evaluation method, the alarm threshold setting method comprises:

[0194] Step 11, the information of test inspection interval, edge computing period, reliability test temporary interruption and single cycle test time is obtained;

[0195] According to the whole vehicle reliability test and the inspection interval, the edge computing period, the reliability test temporary interruption and the single cycle test time, the cycle number of the reliability test in each edge computing period is determined;

[0196] Step 12, the data acquisition result based on the load spectrum is obtained;

[0197] According to the data acquisition result of the load spectrum, the pseudo damage value of each signal in a single cycle is calculated, denoted as Di, wherein i is the channel number;

[0198] Step 13, based on the test of each cycle of the whole vehicle reliability test, there is a certain discreteness, and 8 times of the dispersion is used when calculating the threshold value;

[0199] Wherein, when the minimum cycle number is 1, the pseudo damage range is 1 / 8*Di to 8*Di;

[0200] When the maximum cycle number is 4, the pseudo damage range is 1 / 8*4*Di to 8*4*Di;

[0201] Comprehensive minimum cycle number and maximum cycle number, the reasonable range of pseudo damage value of each signal in each edge computing period is 1 / 8*Di to 8*4*Di;

[0202] Step 14, according to the state of the current whole vehicle reliability test progress dynamic evaluation, two groups of threshold values are set;

[0203] Wherein, the first group of threshold values comprises that the lower limit of the threshold value is a fixed value 1E5, and the upper limit of the threshold value is 1 / 8*Di;

[0204] The second group of threshold values comprises that the lower limit of the threshold value is 8*4*Di, and the upper limit of the threshold value is a fixed value: 1E20.

[0205] Specifically, during the test process, due to problems such as sensor itself, wiring harness connection and sealing, electromagnetic interference, etc., abnormal values may be generated in the original load signal, which may have different manifestations in the time domain, but will affect the calculation of pseudo-damage, and further affect the dynamic evaluation of the progress of the whole vehicle reliability test, so it is necessary to set an alarm threshold to prompt the engineer to timely troubleshoot problems. A whole vehicle reliability test progress dynamic evaluation system provides 2 sets of alarm threshold setting interfaces, each set of thresholds includes an upper limit value and a lower limit value, and when the signal is abnormal, the engineer is prompted to handle the problem. After the problem is handled, the abnormal value is manually modified to within the normal threshold range through the data management module, and the alarm prompt is cancelled. Both sets of alarm thresholds can be modified and refreshed, and the historical data is not reverified. A whole vehicle reliability test progress dynamic evaluation method includes an alarm threshold setting method considering 8 times the dispersion, which helps engineers to set alarm thresholds reasonably.

[0206] Figure 4 is a flowchart of a sensor application method provided by one or more embodiments of the present application.

[0207] As shown in the sensor application method shown in Figure 4 , the sensor application method is based on the whole vehicle reliability test progress dynamic evaluation method, and the sensor application method includes:

[0208] Step 15, using a packaged sensor instead of a strain gauge;

[0209] Wherein, the linear relationship between the pseudo-damage value calculated based on the application of the acceleration sensor signal of the vehicle critical component and the pseudo-damage value calculated based on the strain value of the nearby position satisfies a preset corresponding relationship, and the acceleration sensor is used instead of the strain gauge.

[0210] Specifically, the strain gauge is a sensor that directly reflects the stress state of the vehicle critical component and is widely used in dynamic evaluation of the progress of the whole vehicle reliability test. Since the strain gauge is not a pre-packaged sensor, it needs to be waterproof, impact-proof and other protective treatments after installation. Compared with packaged sensors such as acceleration sensors, strain gauges are more prone to damage and failure. For some critical components of the vehicle, the pseudo-damage value calculated by applying the body acceleration sensor signal and the pseudo-damage value calculated by the strain value near the position have a good linear relationship, and the acceleration sensor can be used instead of the strain gauge to improve the stability of a whole vehicle reliability test progress dynamic evaluation system and reduce operation and maintenance costs.

[0211] The whole vehicle reliability test progress dynamic evaluation system and method of the above embodiments can be extended to whole vehicle level, system level, assembly level, and component level bench tests, and the progress of the above bench tests can be dynamically evaluated.

[0212] Figure 5It is a structural diagram of a whole vehicle reliability test progress dynamic evaluation device provided by one or more embodiments of the present application.

[0213] As Figure 5 indicated, the whole vehicle reliability test progress dynamic evaluation device comprises a module for installation and deployment and a module for load spectrum collection test.

[0214] The module for installation and deployment is configured to:

[0215] Step 1a, install sensors and a data acquisition instrument.

[0216] Step 2a, use a computer to set parameters for the data acquisition instrument.

[0217] Step 3a, judge whether the sensors and the data acquisition instrument are working normally.

[0218] If not, return to step 1a.

[0219] Step 1b, install a vehicle-mounted terminal.

[0220] Step 2b, use a computer to set parameters for a communication module of the vehicle-mounted terminal.

[0221] Step 3b, judge whether the communication module is working normally.

[0222] If not, return to step 1b.

[0223] Step 1c, create a reliability test progress dynamic evaluation task.

[0224] Step 2c, configure a data cleaning model and an edge computing model.

[0225] Step 3c, respectively issue and deploy the data cleaning model and the edge computing model to the vehicle-mounted terminal.

[0226] The module for load spectrum collection test is configured to:

[0227] Step 4, based on the completion of the installation and deployment step, perform a load spectrum collection test.

[0228] Step 5, judge whether the load spectrum is valid.

[0229] If not, return to step 4; if valid, proceed to step 6.

[0230] Step 6, judge whether the vehicle-mounted terminal is working normally.

[0231] If not, return to step 2c; if normal, proceed to step 7.

[0232] Step 7, after configuring an abnormal data alarm module and a test progress calculation module of a cloud platform, proceed to step 8.

[0233] Step 8, start the vehicle reliability test;

[0234] Step 9, judge whether the test progress reaches 100%;

[0235] If not, return to step 8 to continue the vehicle reliability test; if yes, go to step 10;

[0236] Step 10, test end.

[0237] It is worth noting that although the system / device only discloses the installation and deployment module and the load spectrum acquisition test module, it does not mean that the device is limited to the above basic function modules. On the contrary, the meaning expressed by the present application is that on the basis of the above basic function modules, those skilled in the art can add one or more function modules to form infinite embodiments or technical solutions in combination with the prior art. That is to say, the system / device is open rather than closed, and it cannot be considered that the protection scope of the present application is limited to the above disclosed basic function modules because the present embodiment only discloses individual basic function modules.

[0238] In one specific embodiment, a vehicle reliability test progress dynamic evaluation system is disclosed, comprising: a load spectrum acquisition module, a vehicle terminal, and a cloud platform. The load spectrum acquisition module comprises: a sensor, a data acquisition instrument, and a computer. The vehicle terminal comprises: a data communication module, a data cleaning module, and an edge computing module. The cloud platform comprises: a task management module, a data management module, an abnormal data alarm module, and a test progress calculation module.

[0239] The load spectrum acquisition module is used to acquire the load spectrum of the test vehicle in real time, and is the basis for realizing the dynamic evaluation of the vehicle reliability test progress. In the present example, the sensor uses a strain gauge and an acceleration sensor to reflect the vertical strain and acceleration of the front axle, the data acquisition instrument uses an imc32 channel data acquisition instrument, and the computer is a notebook computer.

[0240] The vehicle terminal is different from the conventional T-BOX. On the basis of the basic function of receiving various signals and sending them to the cloud platform, it can also realize data processing function. In the present example, the INS-7201W model is used.

[0241] The cloud platform interacts with the vehicle terminal on one hand, including but not limited to issuing edge computing tasks, data cleaning models, edge computing models, etc. to the vehicle terminal, and interacts with engineers on the other hand, including but not limited to displaying vehicle number, pseudo-damage progress, alarm information, etc.

[0242] The task management module is used to issue edge computing tasks, data cleaning models, edge computing models, etc. to the vehicle terminal. The data cleaning model used in this example is to eliminate the set maximum and minimum thresholds. According to actual needs, a filter can be set to eliminate burr data cleaning models. The edge computing model used in this example is a pseudo-damage calculation model. Specifically, the load range value and corresponding cycle number contained in the load spectrum are obtained by the rainflow counting method, and then the pseudo-damage is calculated according to the linear fatigue cumulative damage criterion (Palmgren-Miner criterion). In this example, the slope of the S-N curve is assumed to be -4, the Bin of the rainflow counting is 16, and the calculation period is 3600s. The edge computing model can be flexibly adjusted according to different data analysis needs. After the test is completed, the edge computing task can be ended through the task management module.

[0243] The data management module is used to receive and store the calculation results sent by the vehicle terminal, including serial number, signal name, vehicle terminal number, edge computing result of each calculation period, result reporting time, etc. Engineers can modify the reported edge computing results through the data management module. The data management module supports exporting as a table in the form of a test log, which is convenient for engineers to perform offline analysis.

[0244] The abnormal data alarm module is used to set abnormal data alarm thresholds and display alarm information. In this example, two sets of thresholds can be set, each including an upper threshold and a lower threshold. When the edge computing result is between the upper and lower thresholds of one of the alarm thresholds, the alarm information displays "abnormal". When the edge computing result is not between the upper and lower thresholds of any of the alarm thresholds, the alarm information displays "normal". For abnormal data, the engineer manually modifies the edge computing result to be within the upper and lower thresholds of any of the alarm thresholds through the data management module, and the alarm information is changed from "abnormal" to "normal".

[0245] The test progress calculation module can read the data in the data management module, calculate the current pseudo-damage value, further calculate the pseudo-damage progress, and display it through a progress bar. When the engineer manually modifies the abnormal value to be within the normal threshold range through the data management module, the current pseudo-damage value and the pseudo-damage progress in the test progress module are also adjusted.

[0246] In another specific embodiment, a whole vehicle reliability test progress dynamic evaluation method is disclosed, comprising the following steps:

[0247] Step 1a, start the test, install sensors and data acquisition instruments on the test vehicle, and correctly connect the sensors and data acquisition instruments.

[0248] Step 2a, use a computer to set parameters for the data acquisition instrument.

[0249] Step 3a, check the sensor and data acquisition instrument by verifying the data to determine if they are working normally. If not, return to step 1a.

[0250] Step 1b, start the test, install the vehicle terminal on the test vehicle.

[0251] Step 2b, use a computer to set parameters for the vehicle terminal communication module.

[0252] Step 3b, determine if the vehicle terminal communication module is working normally. If not, return to step 1b.

[0253] Step 1c, start the test, create a reliability test progress dynamic evaluation task in the task management module of the cloud platform.

[0254] Step 2c, configure data cleaning models and edge computing models.

[0255] Step 3c, deploy the configured data cleaning models and edge computing models to the data cleaning module and edge computing module of the vehicle terminal, respectively.

[0256] The above steps complete the deployment and preliminary debugging of a whole vehicle reliability test progress dynamic evaluation system.

[0257] Step 4, use the deployed whole vehicle reliability test progress dynamic evaluation system to conduct a load spectrum acquisition test. The acquired load spectrum is a key input for further debugging and can also be used to further judge the current state of the system.

[0258] Step 5, determine if the load spectrum is valid. If not, return to step 4.

[0259] Step 6, analyze the valid load spectrum data to determine if the vehicle terminal is working normally, focusing on the data cleaning module and edge computing module. If not, return to step 2c.

[0260] Step 7, configure an abnormal data alarm module and a test progress calculation module in the cloud platform.

[0261] Step 8, officially start the whole vehicle reliability test, and apply a whole vehicle reliability test progress dynamic evaluation system and method to dynamically evaluate the test progress during the test.

[0262] Step 9, determine if the test progress has reached 100% based on the test progress bar displayed in the cloud platform. If not, return to step 8 to continue the test.

[0263] Step 10, end the test.

[0264] In another specific embodiment, a whole vehicle reliability test progress dynamic evaluation system and method includes an alarm threshold setting method considering 8 times dispersion, specifically:

[0265] Step 11, the number of cycles of the reliability test in each edge computing period is determined according to the reliability test and vehicle inspection interval, edge computing period, reliability test temporary interruption, and single cycle test time 4 factors. In this example: the reliability test and vehicle inspection interval is 2 hours of vehicle inspection once, and the vehicle inspection time is about 15 minutes; the edge computing period is 3600s, i.e. 1 hour; when a special situation causes temporary interruption of the reliability test, the cycle is completed before leaving the test site; the single cycle test time is 15 minutes. Therefore, it can be determined that the minimum cycle number of the reliability test in each edge computing period under normal circumstances is 1, and the maximum cycle number is 4.

[0266] Step 12, according to the load spectrum acquisition result, the pseudo-damage value of each signal in a single cycle is calculated, denoted as Di, i is the channel number.

[0267] Step 13, since there is a certain dispersion in each cycle of the whole vehicle reliability test, 8 times dispersion is considered when calculating the threshold, i.e. the pseudo-damage range is 1 / 8×Di to 8×Di when the minimum cycle number is 1; the pseudo-damage range is 1 / 8×4×Di to 8×4×Di when the maximum cycle number is 4. Combining the minimum cycle number and the maximum cycle number, the reasonable range of the pseudo-damage value of each signal in each edge computing period is 1 / 8×Di to 8×4×Di.

[0268] Step 14, two groups of thresholds are reasonably set according to the actual situation. In this example, problems of the sensor itself will cause the pseudo-damage value obtained by edge computing to be much smaller than the normal range, and signal transmission problems such as wire harness connection and sealing, electromagnetic interference will cause the pseudo-damage value obtained by edge computing to be much larger than the normal range. Therefore, threshold 1 for exploring problems of the sensor itself is set: the lower threshold is a fixed value 1E5, and the upper threshold is 1 / 8×Di; threshold 2 for exploring signal transmission problems is set: the lower threshold is 8×4×Di, and the upper threshold is a fixed value: 1E20.

[0269] In another specific embodiment, a whole vehicle reliability test progress dynamic evaluation system and method are disclosed, including a method of using a packaged sensor instead of a strain gauge. The strain gauge is a sensor that directly reflects the stress state of the vehicle key component and is widely used in the whole vehicle reliability test progress dynamic evaluation. Since the strain gauge is not a pre-packaged sensor, waterproof, impact protection and other protection treatments need to be performed after installation. Compared with the packaged sensor such as the acceleration sensor, the strain gauge is more prone to damage and failure. For some key components of the vehicle, the pseudo-damage value calculated by the body acceleration sensor signal has a good linear relationship with the pseudo-damage value calculated by the strain value close to the position, and the acceleration sensor can be used instead of the strain gauge to improve the stability of a whole vehicle reliability test progress dynamic evaluation system and reduce the operation and maintenance cost.

[0270] Through the above embodiments:

[0271] 1. Evaluation index: Pseudo-damage is used as an index instead of mileage, which can fundamentally solve the problems of road roughness change, non-standard speed, underpass, and edge compression, and is more accurate than the traditional test mileage evaluation index.

[0272] 2. System architecture: A whole vehicle reliability test progress dynamic evaluation system is provided, which is a complete solution.

[0273] 3. Method steps: A whole vehicle reliability test progress dynamic evaluation method is provided, which is a complete solution.

[0274] 4. Threshold setting: A warning threshold setting method considering 8 times dispersion is provided, which is scientific and reasonable.

[0275] 5. Specific execution: A method of using a packaged sensor instead of a strain gauge is provided to solve the problem of poor stability of the strain test system.

[0276] 6. Application and promotion: It can be promoted to whole vehicle level, system level, assembly level, and component level bench test.

[0277] Figure 6 is a structural block diagram of an electronic device provided by one or more embodiments of the whole vehicle reliability test progress dynamic evaluation method.

[0278] As Figure 6 shown, the present application provides an electronic device, which includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus.

[0279] The memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the whole vehicle reliability test progress dynamic evaluation method.

[0280] The application further provides a computer readable storage medium, which stores a computer program executable by an electronic device, and when the computer program runs on the electronic device, the electronic device executes the steps of the whole vehicle reliability test progress dynamic evaluation method.

[0281] The application further provides a test platform, comprising:

[0282] The electronic device is used to implement the steps of the whole vehicle reliability test progress dynamic evaluation method.

[0283] The processor runs the program, and when the program runs, the steps of the whole vehicle reliability test progress dynamic evaluation method are executed on the data output from the electronic device.

[0284] The storage medium is used to store the program, and when the program runs, the steps of the whole vehicle reliability test progress dynamic evaluation method are executed on the data output from the electronic device.

[0285] The communication bus mentioned above can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The communication bus can be divided into an address bus, a data bus, a control bus, etc. For the convenience of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or only one type of bus.

[0286] The electronic device comprises a hardware layer, an operating system layer running on the hardware layer, and an application layer running on the operating system. The hardware layer comprises central processing units (CPUs), memory management units (MMUs), memories and other hardware. The operating system can be any one or more computer operating systems that realize the control of the electronic device through processes, such as a Linux operating system, a Unix operating system, an Android operating system, an iOS operating system or a windows operating system, etc. In the embodiments of the application, the electronic device can be a handheld device such as a smart phone or a tablet computer, or can be an electronic device such as a desktop computer or a portable computer, and the application is not particularly limited in the embodiments.

[0287] The execution subject of the electronic device control in the embodiment of the present application can be an electronic device, or a functional module in the electronic device capable of calling and executing a program. The electronic device can acquire firmware corresponding to the storage medium, the firmware corresponding to the storage medium is provided by a supplier, and the firmware corresponding to different storage media can be the same or different, which is not limited herein. After the electronic device acquires the firmware corresponding to the storage medium, the electronic device can write the firmware corresponding to the storage medium into the storage medium, specifically, burn the firmware corresponding to the storage medium into the storage medium. The process of burning the firmware into the storage medium can be implemented by using the prior art, which is not described in detail in the embodiment of the present application.

[0288] The electronic device can also acquire a reset command corresponding to the storage medium, the reset command corresponding to the storage medium is provided by a supplier, and the reset commands corresponding to different storage media can be the same or different, which is not limited herein.

[0289] At this time, the storage medium of the electronic device is the storage medium in which the corresponding firmware is written, and the electronic device can respond to the reset command corresponding to the storage medium in the storage medium in which the corresponding firmware is written, so that the electronic device resets the storage medium in which the corresponding firmware is written according to the reset command corresponding to the storage medium. The process of resetting the storage medium according to the reset command can be implemented by using the prior art, which is not described in detail in the embodiment of the present application.

[0290] For the convenience of description, the above device is described as various units and modules in terms of functions. Of course, the functions of the units and modules can be implemented in the same or multiple software and / or hardware in the implementation of the present application.

[0291] Those skilled in the art can understand that, unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meaning as that generally understood by those skilled in the art to which the present application belongs. It should also be understood that terms such as those defined in general dictionaries should be understood as having meanings consistent with those in the context of the prior art, and should not be interpreted in an idealized or overly formal sense unless specifically defined.

[0292] For the method embodiments, for the convenience of description, they are all described as a combination of a series of actions, but those skilled in the art should know that the embodiments of the present application are not limited by the order of the described actions, because according to the embodiments of the present application, certain steps can be performed in other order or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions involved are not necessarily essential to the embodiments of the present application.

[0293] Those skilled in the art can clearly understand the application by the description of the above embodiments that the application can be implemented by means of software and the necessary universal hardware platform. Based on such understanding, the technical solutions of the application can be embodied in the form of a software product, which can be stored in a storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, and the like, and includes a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, and the like) execute the methods described in each of the embodiments or some parts of the embodiments of the application.

[0294] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the application, rather than limit them; although the application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the application.

Claims

1. A whole vehicle reliability test progress dynamic evaluation system, characterized in that, The whole vehicle reliability test progress dynamic evaluation system comprises a load spectrum acquisition module, a vehicle terminal and a cloud platform. The load spectrum acquisition module is used for acquiring data of the test vehicle critical component load spectrum. The vehicle terminal is used for receiving the critical component load spectrum data and sending it to the cloud platform, and locally processing the critical component load spectrum data. The cloud platform is used for data interaction with the vehicle terminal and human-computer remote interaction. The vehicle terminal comprises a data cleaning module. The data cleaning module is used for preprocessing the received load spectrum data. Based on the local processing of the critical component load spectrum data by the vehicle terminal, the preprocessing of the received load spectrum data by the data cleaning module comprises removing burrs, null values and noise, and purifying the critical component load spectrum data.

2. The whole vehicle reliability test progress dynamic evaluation system according to claim 1, characterized in that, The load spectrum acquisition module comprises a sensor, a data acquisition instrument and a computer. The sensor is used for acquiring analog signal of the test vehicle critical component. The data acquisition instrument is used for receiving the analog signal acquired by the sensor and generating load spectrum data. The computer is used for adjusting the parameter setting of the data acquisition instrument. The data acquisition requirement information is acquired. According to the data acquisition requirement information, the analog signals of strain, acceleration, displacement, torque and pressure of the test vehicle critical component are acquired. The data acquisition instrument further comprises storing, amplifying and digital-analog converting the received analog signal to generate load spectrum data and sending it to the vehicle terminal.

3. The vehicle reliability test progress dynamic evaluation system according to claim 2, characterized in that, The vehicle terminal further comprises a data communication module and an edge computing module. The data communication module is used for receiving the load spectrum data sent by the data acquisition instrument and sending the locally processed critical component load spectrum data of the vehicle terminal to the cloud platform. The edge computing module is used for statistical calculation after receiving the preprocessed critical component load spectrum data of the data cleaning module. The critical component pseudo-damage value is obtained according to the statistical calculation of the edge computing module. The critical component pseudo-damage value is sent to the cloud platform through the data communication module.

4. The vehicle reliability test progress dynamic evaluation system according to claim 3, characterized in that, The cloud platform comprises a task management module, a data management module, an abnormal data alarm module and a test progress calculation module. The task management module is used for issuing edge computing tasks, data cleaning models and edge computing models to the vehicle terminal. The data management module is used for receiving and storing the data sent by the vehicle terminal. The abnormal data alarm module is used for setting the alarm threshold of abnormal data and displaying the alarm information. The test progress calculation module is used for reading the data in the data management module, obtaining the current pseudo-damage value and pseudo-damage progress, and displaying the human-computer interaction. The data management module receives human-computer interaction instructions to set the alarm threshold of abnormal data. According to the set alarm threshold of abnormal data, the current pseudo-damage value and pseudo-damage progress obtained by the test progress calculation module are adjusted. The data management module receives the data sent by the vehicle terminal, including the table output of the test log to the human-computer interaction terminal.

5. A method for dynamically evaluating the progress of a vehicle reliability test, characterized in that The whole vehicle reliability test progress dynamic evaluation system according to any one of claims 1 to 4, the whole vehicle reliability test progress dynamic evaluation method comprises a step of installation and deployment and a step of load spectrum acquisition test. The step of installation and deployment comprises: Step 1a, install sensor and data acquisition instrument; Step 2a, use computer to set parameters for data acquisition instrument; Step 3a, judge whether sensor and data acquisition instrument work normally; If not, return to step 1a; Step 1b, install vehicle terminal; Step 2b, use computer to set parameters for communication module of vehicle terminal; Step 3b, judge whether communication module works normally; If not, return to step 1b; Step 1c, create reliability test progress dynamic evaluation task; Step 2c, configure data cleaning model and edge computing model; Step 3c, deploy data cleaning model and edge computing model to vehicle terminal respectively.

6. The vehicle reliability test progress dynamic evaluation method according to claim 5, characterized in that, The steps of the load spectrum collection test include: Step 4, after the installation and deployment steps are completed, perform load spectrum collection test; Step 5, judge whether the load spectrum is valid; If not, return to step 4; if yes, go to step 6; Step 6, judge whether the vehicle terminal works normally; If not, return to step 2c; if yes, go to step 7; Step 7, after configuring the abnormal data alarm module and test progress calculation module of the cloud platform, go to step 8; Step 8, start the whole vehicle reliability test; Step 9, judge whether the test progress reaches 100%; If not, return to step 8 to continue the whole vehicle reliability test; if yes, go to step 10; Step 10, test ends.

7. A method of setting an alarm threshold, characterized by The whole vehicle reliability test progress dynamic evaluation method based on claim 5 or 6, the alarm threshold setting method includes: Step 11, obtain information of test interval, edge computing period, reliability test temporary interruption, and single cycle test time; According to the whole vehicle reliability test and the test interval, edge computing period, reliability test temporary interruption, and single cycle test time, the number of cycles in each edge computing period is determined; Step 12, obtain data collection results based on load spectrum; According to the data collection results of load spectrum, calculate the pseudo-damage value of each signal in a single cycle, denoted as Di, where i is the channel number; Step 13, based on the test of each cycle of the whole vehicle reliability test, a certain dispersion exists, and 8 times of dispersion is adopted when calculating the threshold; Wherein, when the minimum cycle number is 1, the pseudo-damage range is 1 / 8×Di to 8×Di; When the maximum cycle number is 4, the pseudo-damage range is 1 / 8×4×Di to 8×4×Di; Comprehensive minimum cycle number and maximum cycle number, the reasonable range of pseudo-damage value of each signal in each edge computing period is 1 / 8×Di to 8×4×Di; Step 14, according to the state of current whole vehicle reliability test progress dynamic evaluation, set two groups of thresholds; Wherein, the first group of thresholds includes that the lower threshold is a fixed value 1E5, and the upper threshold is 1 / 8×Di; The second group of thresholds includes that the lower threshold is 8×4×Di, and the upper threshold is a fixed value: 1E20.

8. A sensor application method characterized by, The sensor application method based on claim 5 or 6 includes: Use packaged sensor instead of strain gauge; The linear relationship between the pseudo-damage value calculated based on the acceleration sensor signal of the vehicle key component and the pseudo-damage value calculated based on the strain value of the close position satisfies a preset corresponding relationship, and the acceleration sensor is used to replace the strain gauge.

9. An electronic device, comprising: The method comprises the following steps: The processor, the communication interface, and the memory are in communication with each other through the communication bus. The memory stores a computer program executable by the processor, and when the computer program is executed by the processor, the processor executes the steps of the whole vehicle reliability test progress dynamic evaluation method according to any one of claims 5 or 6.

10. A computer-readable storage medium, characterized in that, The memory stores a computer program executable by the electronic device, and when the computer program runs on the electronic device, the electronic device executes the steps of the whole vehicle reliability test progress dynamic evaluation method according to any one of claims 5 or 6.

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