Fault early warning method and device for frame assembly and medium

Abstract

The invention discloses a fault early warning method and device for a frame assembly and a medium, and the method comprises the steps: determining a use condition needed for fault analysis of the frame assembly according to the historical fault data of the frame assembly; analyzing the physical characteristics and the use condition of the frame assembly to obtain characteristic parameters corresponding to the frame assembly and use data corresponding to the use condition; according to the characteristic parameters and the use data, constructing a state parameter library integrating use critical state values corresponding to a plurality of use conditions; acquiring real-time operation data of the frame assembly through a plurality of sensors arranged on the frame assembly, and matching the real-time operation data with the state parameter library to determine real-time use states of the frame assembly under different use working conditions; and generating a fault early warning strategy corresponding to the frame assembly according to the real-time use state.

Description

Technical Field

[0001] The present application relates to the technical field of vehicle frame assemblies, and in particular to a fault warning method, device and medium for a vehicle frame assembly. Background Art

[0002] As society pays more and more attention to traffic safety, the traffic safety requirements for commercial vehicles are becoming increasingly stringent. As the main load-bearing component of commercial vehicles, the frame assembly has an increasingly significant safety requirement. However, the failure of the commercial vehicle frame assembly is often highly hidden and difficult to detect in daily use. It is often only revealed when the failure is more serious, which will not only cause huge economic losses to users, but also may bury traffic safety hazards.

[0003] Therefore, real-time monitoring of the frame assembly during use has become a key link in ensuring driving safety. At present, the research and development and design of the frame assembly system has received much attention, mainly through a variety of detection and prevention methods from virtual to simulated reality to assist the design and ensure that the design can meet the user's needs. However, these data obtained at the cost of a lot of manpower and material resources are only used in the design stage, resulting in a huge waste of resources. Summary of the invention

[0004] In order to solve the above problems, the present application proposes a fault warning method for a frame assembly, comprising: Determining the operating conditions required for performing a fault analysis on the frame assembly based on historical fault data of the frame assembly; Analyzing the physical characteristics of the frame assembly and the use condition to obtain characteristic parameters corresponding to the frame assembly and use data corresponding to the use condition; According to the characteristic parameters and the usage data, a state parameter library integrating critical state values ​​corresponding to a plurality of usage conditions is constructed; By means of a plurality of sensors disposed on the frame assembly, real-time operation data of the frame assembly is collected, and the real-time operation data is matched with the state parameter library to determine the real-time use state of the frame assembly under different use conditions; A fault warning strategy corresponding to the frame assembly is generated according to the real-time usage status.

[0005] In one implementation of the present application, the operating conditions include at least one or more of the following: basic driving conditions, performance test conditions, and road type conditions.

[0006] In one implementation of the present application, the physical characteristics of the frame assembly and the use condition are analyzed to obtain characteristic parameters corresponding to the frame assembly and use data corresponding to the use condition, specifically including: Analyzing the physical characteristics of the frame assembly to determine characteristic parameters corresponding to the frame assembly; Performing finite element analysis on the frame assembly to determine the usage data and key parts of the frame assembly under basic driving conditions; According to the test results of the frame assembly obtained through bench testing, obtaining the usage data of the frame assembly under the performance test conditions; Based on the test results of the frame assembly obtained through reliability tests, the usage data of the frame under the road type working condition is obtained.

[0007] In one implementation of the present application, a state parameter library integrating critical state values ​​corresponding to multiple usage conditions is constructed based on the characteristic parameters and the usage data, specifically including: Generate a frame identification corresponding to the frame assembly according to the characteristic parameters; wherein the frame identification is used to indicate the same type of frame assemblies having the same material characteristic parameters and structural characteristic parameters; For a frame assembly carrying different frame identifiers, according to a use state corresponding to the use data of the frame assembly under each use condition, a use critical state value corresponding to the use state is determined; wherein the use state includes a safe state, a dangerous state and a fault state; According to the critical usage state value, a state parameter library consisting of critical usage state values ​​corresponding to each usage state under multiple usage conditions is constructed.

[0008] In one implementation of the present application, before collecting the real-time operation data of the frame assembly, the method further includes: A frame identification corresponding to the frame assembly is obtained, and target critical state values ​​corresponding to each use condition matching the frame identification are screened out from the state parameter library.

[0009] In one implementation of the present application, the real-time operation data is matched with the critical state value of each use condition in the state parameter library to determine the real-time use state of the frame assembly under different use conditions, specifically including: Determining a specified operating condition corresponding to the real-time operating data; The real-time operation data is compared with the target critical state values ​​of use corresponding to each use state under the specified use condition to determine the real-time use state of the frame assembly under the specified use condition.

[0010] In one implementation of the present application, a fault warning strategy corresponding to the frame assembly is generated according to the real-time usage status, specifically including: When the real-time usage status under the specified usage condition is a dangerous state, locating the sensor with abnormality; Determine whether the detection range corresponding to the sensor covers the key parts of the frame assembly, and if so, generate a fault prediction strategy for early warning of the key parts; When the real-time usage status under the specified usage condition is a fault state, a fault warning strategy for the detection range is generated according to the detection range of the sensor.

[0011] In one implementation of the present application, the basic driving conditions include vertical conditions, turning conditions, torsional conditions and braking conditions; The performance test conditions include bending stiffness and stress test conditions, bending fatigue test conditions, torsional stiffness and stress test conditions, and torsional fatigue test conditions; The road type conditions include expressway conditions, mountain road conditions and reinforced road conditions.

[0012] The embodiment of the present application provides a fault warning device for a frame assembly, the device comprising: at least one processor; and, a memory communicatively coupled to the at least one processor; The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to: Determining the operating conditions required for performing a fault analysis on the frame assembly based on historical fault data of the frame assembly; Analyzing the physical characteristics of the frame assembly and the use condition to obtain characteristic parameters corresponding to the frame assembly and use data corresponding to the use condition; According to the characteristic parameters and the usage data, a state parameter library integrating critical state values ​​corresponding to a plurality of usage conditions is constructed; By means of a plurality of sensors disposed on the frame assembly, real-time operation data of the frame assembly is collected, and the real-time operation data is matched with the state parameter library to determine the real-time use state of the frame assembly under different use conditions; A fault warning strategy corresponding to the frame assembly is generated according to the real-time usage status.

[0013] The embodiment of the present application provides a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured as follows: Determining the operating conditions required for performing a fault analysis on the frame assembly based on historical fault data of the frame assembly; Analyzing the physical characteristics of the frame assembly and the use condition to obtain characteristic parameters corresponding to the frame assembly and use data corresponding to the use condition; According to the characteristic parameters and the usage data, a state parameter library integrating critical state values ​​corresponding to a plurality of usage conditions is constructed; By means of a plurality of sensors disposed on the frame assembly, real-time operation data of the frame assembly is collected, and the real-time operation data is matched with the state parameter library to determine the real-time use state of the frame assembly under different use conditions; A fault warning strategy corresponding to the frame assembly is generated according to the real-time usage status.

[0014] The fault warning method for a vehicle frame assembly proposed in this application can bring the following beneficial effects: By collecting real-time operating data through sensors and matching it with the status parameter library, the real-time usage status of the frame assembly under different operating conditions can be quickly and accurately determined, thereby generating a fault warning strategy in a timely manner. This not only improves driving safety, but also avoids the problem of resource waste in traditional detection methods where a large amount of manpower and material resources are consumed and the data obtained is only used in the design stage. This allows the data in the design stage to be continuously used throughout the life cycle of the frame assembly, significantly improving the reliability and service life of the frame assembly. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings: Figure 1 A schematic flow chart of a fault warning method for a vehicle frame assembly provided in an embodiment of the present application; Figure 2 A schematic structural diagram of a fault warning device for a vehicle frame assembly provided in an embodiment of the present application. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0017] The technical solutions provided by various embodiments of the present application are described in detail below in conjunction with the accompanying drawings.

[0018] like Figure 1 As shown, an embodiment of the present application provides a fault warning method for a frame assembly, comprising: S101: Determine the operating conditions required for performing a fault analysis on the frame assembly based on historical fault data of the frame assembly.

[0019] The frame assembly is a component of a car with independent functions assembled from multiple parts, components and assemblies, covering the frame and various spare parts related to it. As an important component of the car, the frame assembly has multiple functions such as support, connection and load bearing. During use, its safety and reliability need to be fully considered. Therefore, the embodiment of the present application applies the frame assembly test data given by the design end to the user end, so that the real-time use status of the frame assembly can be detected according to the test data during use, which not only improves the safety of vehicle operation, but also realizes the reuse of data from design end to design end, and improves the availability of data resources.

[0020] The test data of the frame assembly is obtained by testing multiple usage conditions at the R&D and design end. The usage conditions refer to the various working states and conditions that the frame assembly experiences during actual use. Therefore, the premise of testing the frame assembly is to clarify the usage conditions in which failures will occur during its use, so that the working condition simulation test can be carried out for these usage conditions, making the test scope more targeted. Specifically, the historical failure data of the frame assembly is obtained from various channels such as vehicle maintenance records, accident investigation forms, and user feedback. Based on the historical failure data, the usage conditions in which failures can occur in the frame assembly are clarified. The usage conditions not only cover the driving state of the vehicle on different roads and environments, but also include the performance of the frame under various loads and forces, including basic driving conditions, performance test conditions, and road type conditions. Basic driving conditions refer to basic driving conditions, performance test conditions, and road type conditions. Performance test conditions refer to basic driving conditions, performance test conditions, and road type conditions. Road type conditions refer to highway conditions, mountain road conditions, and reinforced road conditions.

[0021] S102: Analyze the physical characteristics and usage conditions of the frame assembly to obtain characteristic parameters corresponding to the frame assembly and usage data corresponding to the usage conditions.

[0022] On the R&D and design side, the physical characteristics and operating conditions of the frame assembly are analyzed through finite element analysis, bench testing, and reliability testing, and the characteristic parameters of the frame assembly and its usage data under various operating conditions can be obtained. Physical characteristics refer to structural characteristics and material characteristics. Based on physical characteristics, the usage data of the same type of frame assemblies with the same characteristic parameters can be classified to facilitate the integration of usage data and subsequent analysis and use.

[0023] Specifically, the physical characteristics of the frame assembly are analyzed to determine the characteristic parameters corresponding to the frame assembly, which include structural characteristic parameters and material characteristic parameters. Finite element analysis is used to simulate the stress, strain and deformation of the frame assembly under basic driving conditions, establish a finite element model of the frame, and apply boundary conditions and loads consistent with the actual driving conditions. By solving the finite element equation, the stress distribution, deformation and stress state of key parts of the frame under basic driving conditions can be obtained. This information is of great significance for evaluating the strength and stiffness of the frame, optimizing the structural design and predicting potential failure points. Bench test is a method of performing performance testing on the frame assembly in a laboratory environment. The frame is installed on a special test bench and various performance test conditions are simulated. By measuring the deformation, stress and fatigue life of the frame during the test, the use data of the frame under various performance test conditions can be obtained based on the test results. Reliability test refers to the long-term operation test of the frame assembly under the actual road environment. The frame assembly is installed on the test vehicle and a long-term driving test is performed under different road type conditions. By monitoring the deformation, crack extension, fatigue life and other parameters of the frame during the test, the use data of the frame assembly under different road conditions can be obtained based on the test results. It should be noted that the above use data exists in the form of waveform data.

[0024] S103: Constructing a state parameter library integrating critical state values ​​corresponding to multiple usage conditions according to characteristic parameters and usage data.

[0025] Based on the usage data, the critical state values ​​of the frame assembly in different usage states are determined, and then a state parameter library integrating the critical state values ​​corresponding to multiple usage conditions is constructed. The critical state values ​​can be used to evaluate the performance of the frame and predict potential failures.

[0026] In one embodiment, a frame identification corresponding to the frame assembly is generated according to the characteristic parameters. The frame identification can be a code or a detailed description containing all key characteristic parameters, which is used to indicate the same type of frame assemblies with the same material characteristic parameters and structural characteristic parameters. The frame identification can generate a corresponding unique index for each type of frame assembly. By retrieving the frame identification in the state parameter library, the critical state value of the corresponding frame assembly can be matched. For frame assemblies carrying different frame identifications, the acquired usage data is analyzed to determine the corresponding usage state of the frame assembly under each usage condition. The usage state includes a safe state, a dangerous state and a fault state. In the safe state, all usage data of the frame assembly are within the normal range and can meet the normal driving requirements of the vehicle. When the frame assembly enters a dangerous state, the frame may have a certain degree of deformation or crack expansion, but it can still maintain the basic driving function of the vehicle. When the frame assembly enters a fault state, its usage data has clearly exceeded the design critical value, and the frame can no longer maintain the normal driving function of the vehicle. At this time, the frame may be severely deformed, cracked or even broken, causing the vehicle to be unable to continue driving or posing serious safety hazards.

[0027] According to the analyzed usage data, the critical state value of the frame assembly under each usage condition is determined, and the critical state value is used to distinguish the performance of the frame under different usage conditions. Based on the critical state values ​​of different usage conditions, a state parameter library consisting of the critical state values ​​corresponding to each usage state under multiple usage conditions is constructed. Through this state parameter library, the critical state values ​​of different types of frame assemblies in each usage state can be retrieved. In this way, by detecting the real-time operating state of the frame assembly with the critical state value, the use data can be transferred and utilized at the user end, and it is clear whether there are safety hazards in the use of the frame assembly.

[0028] S104: collecting real-time operation data of the frame assembly through a plurality of sensors disposed on the frame assembly, and matching the real-time operation data with a state parameter library to determine the real-time use state of the frame assembly under different use conditions.

[0029] Sensors, such as stress sensors, displacement sensors, acceleration sensors, etc., are installed on different parts of the frame assembly to monitor the real-time operation data of the frame, such as deformation, stress distribution, vibration, etc. The state parameter library mentioned above is a collection of the extreme operation data of the frame assembly obtained based on various analysis methods at the R&D and design end. At the use end, the sensor transmits the real-time monitored frame operation data to the vehicle ECU module via wired or wireless means. The ECU matches the processed real-time operation data with the state parameter library, and judges the real-time use status of the frame assembly by comparing the difference between the real-time operation data and each critical state value.

[0030] It should be noted that since the state parameter library stores critical state values ​​of various frame assemblies, before comparing the data, it is necessary to first obtain the frame identification corresponding to the frame assembly, and then filter out the target critical state values ​​corresponding to each usage condition that matches the frame identification from the state parameter library.

[0031] By matching the data type and sensor type of the acquired real-time operation data with the predefined use condition type, the specified use condition of the frame assembly is determined. According to the specified use condition, the target use critical state values ​​corresponding to each use state under the condition, i.e., the safe state, dangerous state, and fault state, are retrieved from the state parameter library. The real-time operation data is compared with the target use critical state values ​​corresponding to each use state under the specified use condition, and the real-time use state of the frame assembly under the specified use condition is determined according to the comparison result. If the real-time operation data is far below the safety state critical value, the frame assembly is in a safe state. If the real-time operation data is close to or slightly exceeds the safety state critical value, but has not yet reached the dangerous state critical value, the frame assembly is in a dangerous state. If the real-time operation data exceeds the dangerous state critical value, or even approaches or reaches the fault state critical value, the frame assembly is in a fault state, and immediate measures need to be taken to repair or replace it.

[0032] S105: Generate a fault warning strategy corresponding to the frame assembly according to the real-time usage status.

[0033] The corresponding fault warning strategy is generated according to the real-time usage status of the frame assembly, aiming to ensure that appropriate warning measures can be taken when the frame assembly is in different usage states.

[0034] Specifically, when the frame assembly is in a dangerous state, although there is no obvious fault in the frame assembly, there are still certain safety hazards in the actual operation process. At this time, the frame assembly needs to be monitored in real time to ensure the safe operation of the vehicle. However, close monitoring of the entire frame assembly in a non-faulty state requires a large number of sensors and data acquisition equipment, which will increase the hardware cost and system complexity. Therefore, based on the key parts proposed by the finite element analysis model, the real-time monitoring of the frame assembly is achieved only through sensors located at key parts in a dangerous state, which can significantly reduce the monitoring cost. In addition, the key parts are usually areas in the frame assembly where stress is concentrated, vulnerable or difficult to repair. Focusing on the detection of key parts can effectively reduce the probability of major failures.

[0035] Based on this, by analyzing the sensor data, the abnormal sensor is located, and it is determined whether the detection range corresponding to the abnormal sensor covers the key parts of the frame assembly, such as connection points, stress concentration areas, vulnerable parts, etc. If the detection range of the abnormal sensor covers the key parts of the frame assembly, a fault prediction strategy for early warning of these key parts is generated, such as sound alarm, light alarm, information push, etc.

[0036] When the frame assembly is in a faulty state, the detection range of all sensors is directly analyzed, and then a fault warning strategy for the detection range is generated based on the detection range of the sensor, such as immediate parking inspection, limiting vehicle speed, avoiding use under specific working conditions, etc. At the same time, the ECU needs to convey the warning information to the driver or maintenance personnel, and the warning information must include the specific location of the fault, which can be located according to the sensor setting position.

[0037] The above are embodiments of the method proposed in this application. Based on the same idea, some embodiments of this application also provide devices and non-volatile computer storage media corresponding to the above methods.

[0038] Figure 2 The present invention provides a schematic diagram of a fault warning device for a vehicle frame assembly. Figure 2 As shown, including: at least one processor; and, at least one processor is communicatively connected to a memory; wherein, The memory stores instructions executable by at least one processor, the instructions being executed by at least one processor to enable the at least one processor to: Determine the operating conditions required for fault analysis of the frame assembly based on historical failure data of the frame assembly; Analyze the physical characteristics and usage conditions of the frame assembly to obtain characteristic parameters corresponding to the frame assembly and usage data corresponding to the usage conditions; Based on characteristic parameters and usage data, a state parameter library integrating critical state values ​​corresponding to multiple usage conditions is constructed; By using a plurality of sensors disposed on the frame assembly, real-time operation data of the frame assembly is collected, and the real-time operation data is matched with a state parameter library to determine the real-time use state of the frame assembly under different use conditions; Generate a fault warning strategy corresponding to the frame assembly based on the real-time usage status.

[0039] The embodiment of the present application provides a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured as follows: Determine the operating conditions required for fault analysis of the frame assembly based on historical failure data of the frame assembly; Analyze the physical characteristics and usage conditions of the frame assembly to obtain characteristic parameters corresponding to the frame assembly and usage data corresponding to the usage conditions; Based on characteristic parameters and usage data, a state parameter library integrating critical state values ​​corresponding to multiple usage conditions is constructed; By using a plurality of sensors disposed on the frame assembly, real-time operation data of the frame assembly is collected, and the real-time operation data is matched with a state parameter library to determine the real-time use state of the frame assembly under different use conditions; Generate a fault warning strategy corresponding to the frame assembly based on the real-time usage status.

[0040] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0041] The devices and media provided in the embodiments of the present application correspond one-to-one to the methods. Therefore, the devices and media also have similar beneficial technical effects as the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.

[0042] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0043] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1A device that provides the functions specified in a block or multiple blocks.

[0044] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0045] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0046] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0047] Memory may include non-permanent storage in a computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0048] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0049] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0050] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A fault warning method for a vehicle frame assembly, characterized in that: The method comprises: Determining the operating conditions required for performing a fault analysis on the frame assembly based on historical fault data of the frame assembly; Analyzing the physical characteristics of the frame assembly and the use condition to obtain characteristic parameters corresponding to the frame assembly and use data corresponding to the use condition; According to the characteristic parameters and the usage data, a state parameter library integrating critical state values ​​corresponding to a plurality of usage conditions is constructed; By means of a plurality of sensors disposed on the frame assembly, real-time operation data of the frame assembly is collected, and the real-time operation data is matched with the state parameter library to determine the real-time use state of the frame assembly under different use conditions; A fault warning strategy corresponding to the frame assembly is generated according to the real-time usage status.

2. A fault warning method for a vehicle frame assembly according to claim 1, characterized in that: The operating conditions include at least one or more of the following: basic driving conditions, performance test conditions and road type conditions.

3. A fault warning method for a vehicle frame assembly according to claim 2, characterized in that: Analyzing the physical characteristics of the frame assembly and the use condition to obtain characteristic parameters corresponding to the frame assembly and use data corresponding to the use condition, specifically includes: Analyzing the physical characteristics of the frame assembly to determine characteristic parameters corresponding to the frame assembly; Performing finite element analysis on the frame assembly to determine the usage data and key parts of the frame assembly under basic driving conditions; According to the test results of the frame assembly obtained through bench testing, obtaining the usage data of the frame assembly under the performance test conditions; Based on the test results of the frame assembly obtained through reliability tests, the usage data of the frame under the road type working condition is obtained.

4. A fault warning method for a vehicle frame assembly according to claim 1, characterized in that: According to the characteristic parameters and the usage data, a state parameter library integrating critical state values ​​corresponding to multiple usage conditions is constructed, specifically including: Generate a frame identification corresponding to the frame assembly according to the characteristic parameters; wherein the frame identification is used to indicate the same type of frame assemblies having the same material characteristic parameters and structural characteristic parameters; For a frame assembly carrying different frame identifiers, according to a use state corresponding to the use data of the frame assembly under each use condition, a use critical state value corresponding to the use state is determined; wherein the use state includes a safe state, a dangerous state and a fault state; According to the critical usage state value, a state parameter library consisting of critical usage state values ​​corresponding to each usage state under multiple usage conditions is constructed.

5. A fault warning method for a vehicle frame assembly according to claim 1, characterized in that: Before collecting the real-time operation data of the frame assembly, the method further includes: A frame identification corresponding to the frame assembly is obtained, and target critical state values ​​corresponding to each use condition matching the frame identification are screened out from the state parameter library.

6. A fault warning method for a vehicle frame assembly according to claim 5, characterized in that: Matching the real-time operation data with the critical state values ​​corresponding to each use condition in the state parameter library to determine the real-time use state of the frame assembly under different use conditions specifically includes: Determining a specified operating condition corresponding to the real-time operating data; The real-time operation data is compared with the target critical state values ​​of use corresponding to each use state under the specified use condition to determine the real-time use state of the frame assembly under the specified use condition.

7. A fault warning method for a vehicle frame assembly according to claim 6, characterized in that: Generating a fault warning strategy corresponding to the frame assembly according to the real-time usage status, specifically including: When the real-time usage status under the specified usage condition is a dangerous state, locating the sensor with abnormality; Determine whether the detection range corresponding to the sensor covers the key parts of the frame assembly, and if so, generate a fault prediction strategy for early warning of the key parts; When the real-time usage status under the specified usage condition is a fault state, a fault warning strategy for the detection range is generated according to the detection range of the sensor.

8. The fault warning method for a vehicle frame assembly according to claim 2, characterized in that: The basic driving conditions include vertical conditions, turning conditions, torsion conditions and braking conditions; The performance test conditions include bending stiffness and stress test conditions, bending fatigue test conditions, torsional stiffness and stress test conditions, and torsional fatigue test conditions; The road type conditions include expressway conditions, mountain road conditions and reinforced road conditions.

9. A fault warning device for a vehicle frame assembly, characterized in that: The device comprises: at least one processor; and, a memory communicatively coupled to the at least one processor; Wherein, the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute a fault warning method for a vehicle frame assembly as described in any one of claims 1-8.

10. A non-volatile computer storage medium storing computer executable instructions, characterized in that: The computer executable instructions are configured to: A fault warning method for a vehicle frame assembly as described in any one of claims 1 to 8.

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