Vehicle fault early warning system and method based on digital twin technology

Abstract

The invention relates to a vehicle fault early warning system and method based on a digital twin technology, and is suitable for early warning of vehicle faults in a production line. The digital twin platform receives the data of the data acquisition module and generates a digital twin model of the vehicle and simulation data of the vehicle; then, a vehicle comprehensive performance evaluation index model is established, a data analysis module organizes and analyzes vehicle simulation data, and when a vehicle comprehensive performance index exceeds an abnormal value of a threshold value, the abnormal value is judged as fault data; the fault early warning module receives data of the data analysis module, generates fault early warning and sends the fault early warning to the system. According to the invention, the digital twinning technology is combined, the digital twinning model is constructed for the vehicle which is not delivered, the vehicle simulation data is obtained, the sensor signal data, the load data and the fault data can be flexibly set, the test efficiency of the factory workshop for the vehicle fault is improved, and the test cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of digital twins, and particularly to a vehicle fault warning system and method based on digital twin technology. Background Art

[0002] According to statistics, the global automobile ownership has exceeded 1 billion, and people's lives are increasingly inseparable from automobiles. Before leaving the factory, vehicles will inevitably have some abnormalities or faults. If faulty vehicles are sold out of the factory, it will pose a great safety hazard.

[0003] With the development of automobiles towards electrification, networking, and intelligence, the mechanical structure and electronic systems of vehicles are becoming increasingly complex, and the number and probability of component failures will increase. Some faults will pose a very great safety hazard to driving and will also result in losses in terms of time and money.

[0004] Therefore, there is an urgent need to provide a vehicle fault warning system and method that can flexibly predict faults in advance, timely and accurately warn of vehicle faults before the vehicle leaves the factory, thereby avoiding accidents, improving the safety of vehicle use after leaving the factory, ensuring the accuracy and high efficiency of vehicle fault warning, and reducing the cost of vehicle fault prediction. Summary of the Invention

[0005] In view of the above problems, the present invention provides a vehicle fault warning system based on digital twin technology, including:

[0006] A data acquisition module for collecting vehicle operation data;

[0007] A digital twin platform, connected to the data acquisition module and generating a digital twin model of the vehicle and the vehicle simulation data;

[0008] A data analysis module, receiving the vehicle simulation data from the digital twin platform and processing and analyzing the vehicle simulation data;

[0009] A fault warning module for warning of faults in the data analyzed by the data analysis module.

[0010] Further, the data acquisition module is a sensor or a camera.

[0011] Further, the sensor is a speed sensor, a crankshaft position sensor, or a knock sensor

[0012] Further, the present invention further provides a vehicle fault warning method based on digital twin technology, and the warning method includes the following steps:

[0013] S1: The data acquisition module collects the operation data of the physical vehicle;

[0014] S2: The digital twin platform receives the data from the data acquisition module and generates a digital twin model of the vehicle and the simulation data of the vehicle;

[0015] S3: Establish a vehicle comprehensive performance evaluation index model. The data analysis module sorts out and analyzes the vehicle simulation data, and determines the abnormal values when the vehicle comprehensive performance index exceeds the threshold as fault data;

[0016] S4: Receive the data from the data analysis module and generate a fault warning to send to the user.

[0017] Further, the data of the vehicle in step S1 includes vehicle running speed, engine temperature, vehicle speed, and vehicle fuel consumption.

[0018] Further, in step S3, a vehicle comprehensive performance evaluation index model is established. The vehicle comprehensive performance Ircp = a1X1 + a2X2 + a3X3 + …… anXn, where an is the weight of the nth index and Xn is the nth index.

[0019] Further, in step S3, determining the abnormal value specifically includes the following steps:

[0020] S31: Sort the data with abnormalities in the performance indicators from small to large, and divide all the data into four equal parts to obtain the first data Q1, the second data Q2, and the third data Q3 respectively. Among them, the first data Q1 is the 25% of all the data arranged from small to large, the second data Q2 is the 50% of all the data arranged from small to large, and the third data Q3 is the 75% of all the data arranged from small to large;

[0021] S32: Define the valid value range as [Q1 - 1.2(Q3 - Q1), Q3 + 1.2(Q3 - Q1)];

[0022] S33: Determine the values exceeding the valid value range as abnormal values.

[0023] Further, after step S4, it also includes that the fault warning is sent to the client through a report or a chart.

[0024] The present invention further provides a computer storage medium, on which a computer program is stored. When the computer program is run by the processor of the computer device, it executes the instructions of the above method.

[0025] The present invention further provides a computer program product, characterized in that the computer program product includes a computer program. When the computer program is run by the processor of the computer device, it executes the instructions of the above method.

[0026] The present invention relates to a vehicle fault warning system and method based on digital twin technology, which is applicable to the production line for warning vehicle faults. The data acquisition module collects the operation data of the physical vehicle; the digital twin platform receives the data from the data acquisition module and generates the digital twin model of the vehicle and the simulated data of the vehicle; then a vehicle comprehensive performance evaluation index model is established, and the data analysis module sorts out and analyzes the vehicle simulated data. When the abnormal value of the vehicle comprehensive performance index exceeds the threshold, it is determined as fault data; the fault warning module receives the data from the data analysis module, generates a fault warning and sends it to the system. By combining digital twin technology, the present invention constructs a digital twin model for testing the vehicle that has not left the factory and obtains the vehicle simulated data, and can flexibly set the sensor signal data, load data and fault data, improving the test efficiency of vehicle faults in the factory workshop and reducing the test cost. Description of the Drawings

[0027] Figure 1 Schematic diagram of a vehicle fault warning system based on digital twin technology according to the present invention;

[0028] Figure 2 Flowchart of a vehicle fault warning method based on digital twin technology according to the present invention;

[0029] Description of the Reference Numerals

[0030] 1 Data acquisition module 2 Digital twin platform 3 Data analysis module

[0031] 4 Fault warning module. Detailed Embodiment

[0032] For a further understanding of the purpose, structure, features and functions of the present invention, the following is a detailed description in conjunction with the embodiments.

[0033] The present invention provides a vehicle fault warning system based on digital twin technology, including a data acquisition module 1, a digital twin platform 2, a data analysis module 3 and a fault warning module 4; the data acquisition module 1 collects vehicle data; the digital twin platform 2 is connected to the data acquisition module 1 and generates the digital twin model of the vehicle and the simulated data of the vehicle; the data analysis module 3 receives the vehicle simulated data from the digital twin platform and processes and analyzes the vehicle simulated data; the fault warning module 4 performs fault warning on the data analyzed by the data analysis module 3 and sends the fault warning result to the client.

[0034] The digital twin platform 2 is based on the physical vehicle. According to the vehicle data collected by the data acquisition module 1, it constructs the corresponding vehicle digital twin model, respectively establishes the twin models of components such as the vehicle body, vehicle engine, on-vehicle air conditioner, vehicle chassis, and vehicle wheels, and after assembling and combining them, it is used to simulate the vehicle operation state. The real-time data of the vehicle operation drives the vehicle digital twin model, enabling the vehicle twin model to simulate the test vehicle for operation and gradually approaching the operation state of the physical vehicle.

[0035] Furthermore, the data acquisition module 1 is a sensor or a camera. When the data acquisition module 1 is a sensor, the sensor collects the vehicle data in the real world and transmits the vehicle data to the digital twin platform. The sensor can sense and measure the physical quantities of the vehicle. The sensor can be a speed sensor, installed beside the output shaft of the vehicle gearbox to detect the rotational speed of the gearbox. The sensor can also be a crankshaft position sensor, generally installed at the front end of the crankshaft, the front end of the camshaft, and the flywheel to detect the crankshaft angle, engine speed, vehicle speed signal, etc. The sensor can also be a knock sensor, generally installed on the engine block to detect the vibration of the engine. The data acquisition module 1 can also be a digital twin camera, which is one of the devices used for data acquisition in digital twin technology. The digital twin camera integrates a panoramic camera and a lidar system, providing a complete set of simple 3D laser scanning solutions for the vehicle, providing an accurate basis for constructing the digital twin model of the vehicle.

[0036] The digital twin platform 2 is connected to the data acquisition module 1 and receives the vehicle data collected by the data acquisition module 1. The communication method for the digital twin platform 2 to receive data can be either a wired method or a wireless method. When transmitting wired, the vehicle data is transmitted from the sensor or camera to the computer or server through wired media such as cables or optical fibers. Wireless transmission can use wireless networks or Bluetooth, etc. Specifically, wired transmission has a fast speed, high stability, and good data security. Wireless transmission is relatively flexible and convenient and is suitable for various scenarios. The present invention does not limit the communication method between the digital twin platform and the data acquisition module.

[0037] The present invention further provides a vehicle fault warning method based on digital twin technology, which depends on the above-mentioned vehicle fault warning system based on digital twin technology. The warning method includes the following steps:

[0038] S1: The data acquisition module collects the operation data of the physical vehicle;

[0039] S2: The digital twin platform receives the data from the data acquisition module and generates the digital twin model of the vehicle and the simulation data of the vehicle;

[0040] S3: Establish a vehicle comprehensive performance evaluation index model. The data analysis module sorts and analyzes the vehicle simulation data, and determines the abnormal values when the vehicle comprehensive performance index exceeds the threshold as fault data;

[0041] S4: Receive the data from the data analysis module to generate a fault warning and send it to the user.

[0042] Further, the execution subject in step S1 can be a computer service device with data processing, network communication, and program running functions. The collected operation data of the physical vehicle can be the vehicle's running speed, engine temperature, vehicle speed, and vehicle fuel consumption. The operation data of the vehicle is for supporting the present invention and is not used as a limitation.

[0043] Further, step S2 generates a digital twin model of the vehicle based on the physical vehicle. According to the vehicle data collected by the data acquisition module, a corresponding vehicle digital twin model is constructed. Twin models of components such as the vehicle body, vehicle engine, on-vehicle air conditioner, vehicle chassis, and vehicle wheels are established respectively, and after being assembled and combined, they are used to simulate the vehicle operation state. The real-time data of the vehicle operation drives the vehicle digital twin model, enabling the vehicle twin model to simulate the test vehicle to run and gradually approach the operation state of the physical vehicle, thereby generating the vehicle simulation data.

[0044] In step S3, a vehicle comprehensive performance evaluation index model is established. The physical vehicle may change due to various factors during operation. Therefore, the operation data of the physical vehicle under various conditions is synchronized to the digital twin model of the vehicle, and the faults of the physical vehicle are detected based on the updated operation data of the vehicle twin model. Specifically, the vehicle comprehensive performance is evaluated. The vehicle comprehensive performance Ircp = a1X1 + a2X2 + a3X3 +... + anXn, where an is the weight of the nth index and Xn is the nth index. The comprehensive performance index can evaluate the overall performance of the vehicle. The performance indexes of the vehicle to be tested include the vehicle's power performance, vehicle fuel economy performance, vehicle braking performance, vehicle handling stability, etc. The braking ability of the vehicle includes the maximum vehicle speed that can be traveled, the vehicle's acceleration ability, and the vehicle's climbing ability. The weight of the index determines the weight ratio of each performance in specific evaluation criteria and requirements. Evaluating the vehicle comprehensive performance index can ensure the overall safety, comfort, and reliability of the vehicle. When it is determined that the vehicle comprehensive performance index exceeds the threshold, the data analysis module sorts and analyzes the vehicle simulation data. The present invention can flexibly set the indexes and their weights according to actual needs. For example, sensor signal data, load data, and fault data can be flexibly set, improving the test efficiency and reducing the test cost.

[0045] In step S3, determining the abnormal value specifically includes the following steps:

[0046] S31: Sort the data with anomalies in the performance metrics from smallest to largest, and divide all the data into four equal parts to obtain the first data Q1, the second data Q2, and the third data Q3 respectively. Among them, the first data Q1 is the 25% of all the data arranged from smallest to largest, the second data Q2 is the 50% of all the data arranged from smallest to largest, and the third data Q3 is the 75% of all the data arranged from smallest to largest;

[0047] S32: Define the valid value range as [Q1 - 1.2(Q3 - Q1), Q3 + 1.2(Q3 - Q1)];

[0048] S33: Determine the values exceeding the valid value range as outliers.

[0049] In step S31 of the present invention, specifically, taking the engine temperature as an example, when an outlier appears in the vehicle engine temperature among the performance metrics, first, all the temperature values of the vehicle engine temperature collected are sorted from smallest to largest and divided into four equal parts to obtain the first data Q1, the second data Q2, and the third data Q3 respectively; then calculate the fluctuation range 1.2(Q3 - Q1), and define the valid value range as [Q1 - 1.2(Q3 - Q1), Q3 + 1.2(Q3 - Q1)]. When the value of the engine temperature is outside [Q1 - 1.2(Q3 - Q1), Q3 + 1.2(Q3 - Q1)], it is determined as an abnormal value of the engine. This range can effectively screen out the outliers of each performance data and provide a more accurate early warning for vehicle failures.

[0050] Furthermore, after step S4, it further includes sending the fault warning to the client through a report or a chart. The communication method for sending to the client can be implemented in any way, for example, through a local area network, a wide area network (such as the Internet), a point-to-point connection, etc., or any combination thereof. The communication protocol can include any combination of hardwired links, wireless links, routers, gateway functions, name servers, etc. governed by any protocol or protocol combination.

[0051] The present invention further provides a computer storage medium, on which a computer program is stored. When the computer program is run by the processor of the computer device, it executes the instructions of the above method. It can include high-speed random access memory, and can also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, at least one disk storage device, a flash device, or other volatile solid-state storage devices.

[0052] The present invention further provides a computer program product, characterized in that the computer program product includes a computer program which, when run by a processor of a computer device, executes the instructions of the above method.

[0053] The present invention relates to a vehicle fault warning system and method based on digital twin technology, which is applicable to the production line for warning vehicle faults. The operation data of the physical vehicle is collected by a data collection module; the digital twin platform receives the data of the data collection module and generates a digital twin model of the vehicle and the simulation data of the vehicle; then a vehicle comprehensive performance evaluation index model is established, and the data analysis module sorts and analyzes the vehicle simulation data, and determines the abnormal values when the vehicle comprehensive performance index exceeds the threshold as fault data; the fault warning module receives the data of the data analysis module and generates a fault warning to be sent to the system. By combining digital twin technology, the present invention constructs a digital twin model for testing the vehicle that has not left the factory and obtains the vehicle simulation data, and can flexibly set the sensor signal data, load data and fault data, improving the testing efficiency of vehicle faults in the factory workshop and reducing the testing cost.

[0054] In the description of this specification, the descriptions referring to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. mean that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. Moreover, the specific features, structures, materials or characteristics described may be combined in a suitable manner in any one or more embodiments or examples. In addition, without conflict, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples.

[0055] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a definable sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus or device), or in combination with these instruction execution systems, apparatus or devices.

[0056] The present invention has been described by the above related embodiments. However, the above embodiments are only examples for implementing the present invention. It must be pointed out that the disclosed embodiments do not limit the scope of the present invention. On the contrary, all changes and modifications made without departing from the spirit and scope of the present invention fall within the scope of patent protection of the present invention.

Claims

1. A vehicle fault warning system based on digital twin technology, characterized in that, Including: A data acquisition module, configured to acquire vehicle operation data; A digital twin platform, connected to the data acquisition module, and generating a digital twin model of the vehicle and the vehicle simulation data; A data analysis module, receiving the vehicle simulation data from the digital twin platform, and processing and analyzing the vehicle simulation data; A fault warning module, warning of faults for the data analyzed by the data analysis module.

2. The vehicle fault warning system based on digital twin technology according to claim 1, wherein The data acquisition module is a sensor or a camera.

3. The vehicle fault warning system based on digital twin technology according to claim 2, characterized in that, The sensor is a speed sensor, a crankshaft position sensor or a knock sensor.

4. A vehicle fault warning method based on digital twin technology, relying on a vehicle fault warning system based on digital twin technology described in claim 1, characterized in that, The warning method includes the following steps: S1: The data acquisition module acquires the operation data of the physical vehicle; S2: The digital twin platform receives the data from the data acquisition module, and generates a digital twin model of the vehicle and the vehicle simulation data; S3: Establish a vehicle comprehensive performance evaluation index model. The data analysis module sorts out and analyzes the vehicle simulation data, and determines the abnormal values when the vehicle comprehensive performance index exceeds the threshold as fault data; S4: Receive the data from the data analysis module to generate a fault warning and send it to the user.

5. The vehicle fault warning method based on digital twin technology according to claim 4, characterized in that The data of the vehicle in step S1 includes the vehicle running speed, engine temperature, vehicle speed and vehicle fuel consumption.

6. The vehicle fault warning method based on digital twin technology according to claim 4, characterized in that, In step S3, a vehicle comprehensive performance evaluation index model is established. The vehicle comprehensive performance Ircp = a1X1 + a2X2 + a3X3 + …… anXn, where an is the weight of the nth index and Xn is the nth index.

7. A vehicle fault warning method based on digital twin technology according to claim 4, characterized in that, In step S3, determining the abnormal value specifically includes the following steps: S31: Sort the data with abnormalities in the performance indexes from small to large, and divide all the data into four equal parts to obtain the first data Q1, the second data Q2 and the third data Q3 respectively; S32: Define the effective value range as [Q1 - 1.2(Q3 - Q1), Q3 + 1.2(Q3 - Q1)]; S33: Determine the values exceeding the effective value range as abnormal values. Among them, the first data Q1 is the 25% data of all the data arranged from small to large, the second data Q2 is the 50% data of all the data arranged from small to large, and the third data Q3 is the 75% data of all the data arranged from small to large.

8. A vehicle fault warning method based on digital twin technology according to claim 4, characterized in that After step S4, it further includes that the fault warning is sent to the client through a report or a chart.

9. A computer storage medium having a computer program stored thereon, characterized in that, When the computer program is run by the processor of the computer device, it executes the instructions of the method according to any one of claims 4 - 8.

10. A computer program product, characterized in that, The computer program product includes a computer program. When the computer program is run by the processor of the computer device, it executes the instructions of the method according to any one of claims 4 - 8.

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