Intelligent suspension detection method and device and computer equipment

Abstract

The invention relates to an intelligent suspension detection method and device and computer equipment. The method comprises the following steps: acquiring suspension detection demand information of a vehicle to generate a suspension test process and a suspension test scheme of each suspension detection type of the vehicle; and acquiring instrument detection data and suspension test data of each suspension detection type, so as to identify a suspension test result of each suspension detection type through a suspension detection evaluation strategy of each suspension detection type, and based on the suspension test result of each suspension detection type, determining a suspension test result of each suspension detection type. Recognizing suspension detection abnormity information of the vehicle and a suspension detection abnormity reason of the vehicle; and generating a suspension detection report of the vehicle based on the suspension detection abnormality information of the vehicle and the suspension detection abnormality reason of the vehicle. By adopting the method, the detection accuracy of the vehicle suspension can be improved.

Description

Technical Field

[0001] The present application relates to the field of intelligent vehicle detection technology, and in particular to an intelligent suspension detection method, device and computer equipment. Background Art

[0002] Vehicle suspension system testing can promptly detect and repair potential faults, such as spring breakage and shock absorber oil leakage. If these faults are not promptly handled, they may cause abnormal shaking, unstable control, and even traffic accidents during driving. Therefore, how to improve the efficiency and accuracy of vehicle suspension testing is the current research focus.

[0003] The traditional vehicle suspension inspection method is to conduct subjective analysis of the vehicle suspension manually, and combine it with corresponding inspection equipment and corresponding inspection instruments to comprehensively inspect the vehicle suspension. However, manual inspection is affected by work experience and the degree of observation, resulting in a high error rate in the inspection of the vehicle suspension, which leads to poor inspection accuracy of the vehicle suspension. Summary of the invention

[0004] Based on this, it is necessary to provide an intelligent suspension detection method, device, computer equipment, computer readable storage medium and computer program product to address the above technical problems.

[0005] In a first aspect, the present application provides an intelligent suspension detection method, comprising:

[0006] Acquiring suspension detection requirement information of a vehicle, and generating a suspension test process for each suspension detection type of the vehicle and a suspension test scheme for each suspension detection type of the vehicle based on the suspension detection requirement information;

[0007] In response to the staff uploading the test data after the test based on the suspension test process of each suspension test type and the suspension test scheme of each suspension test type, collecting the instrument test data of each suspension test type and the suspension test data of each suspension test type;

[0008] Based on the instrument detection data of each suspension detection type and the suspension test data of each suspension detection type, the suspension test results of each suspension detection type are identified through the suspension detection evaluation strategy of each suspension detection type, and based on the suspension test results of each suspension detection type, the suspension detection abnormality information of the vehicle and the cause of the suspension detection abnormality of the vehicle are identified;

[0009] A suspension detection report of the vehicle is generated based on the suspension detection abnormality information of the vehicle and the suspension detection abnormality cause of the vehicle.

[0010] Optionally, generating a suspension test process for each suspension test type of the vehicle and a suspension test scheme for each suspension test type of the vehicle based on the suspension test requirement information includes:

[0011] Splitting the suspension detection requirement information into sub-suspension detection requirement information of each suspension detection type, and identifying the equipment requirement information of each suspension detection type and the suspension detection condition of each suspension detection type based on the sub-suspension detection requirement information of each suspension detection type;

[0012] For each suspension detection type, based on the equipment requirement information of the suspension detection type, identify each equipment test node of the suspension detection type, and query the test process containing each equipment test node in the database as the suspension test process of the suspension detection type;

[0013] Based on the suspension detection conditions of the suspension detection type, the node test conditions of each device test node are identified, and the node test conditions of all test nodes are used as the suspension test scheme of each suspension detection type.

[0014] Optionally, in response to the staff uploading the test data after the test based on the suspension test process of each suspension test type and the suspension test scheme of each suspension test type, before collecting the instrument test data of each suspension test type and the suspension test data of each suspension test type, the method further includes:

[0015] Generate a suspension test guidance scheme for each suspension detection type based on the suspension test process for each suspension detection type and the suspension test scheme for each suspension detection type;

[0016] The suspension test guidance scheme for each suspension detection type is sent to the staff client.

[0017] Optionally, the identifying the suspension test result of each suspension detection type based on the instrument detection data of each suspension detection type and the suspension test data of each suspension detection type through the suspension detection evaluation strategy of each suspension detection type includes:

[0018] For each suspension detection type, based on the detection data of the suspension detection type, identifying the vehicle suspension detection data distribution information corresponding to the suspension detection type, and based on the suspension test data of the suspension detection type, identifying the vehicle suspension test data distribution information corresponding to the suspension detection type;

[0019] Through the suspension detection evaluation strategy of the suspension detection type, the suspension detection results corresponding to the vehicle suspension detection data distribution information and the suspension test results corresponding to the vehicle suspension test data distribution information are identified, and the suspension detection results corresponding to the vehicle suspension detection data distribution information and the suspension test results corresponding to the vehicle suspension test data distribution information are used as the suspension test results of the suspension detection type.

[0020] Optionally, the identifying the suspension detection abnormality information of the vehicle and the cause of the suspension detection abnormality of the vehicle based on the suspension test results of each suspension detection type includes:

[0021] For each suspension detection type, based on the suspension test result of the suspension detection type, identifying the suspension test abnormality information of the vehicle through a suspension test abnormality identification network, and based on the suspension test result of the suspension detection type, identifying the suspension test abnormality information corresponding to the suspension test result through a suspension test abnormality identification network;

[0022] Based on the suspension test abnormality information and the suspension detection abnormality information, query the sub-suspension detection abnormality cause of the suspension detection type in the suspension abnormality database, and use the suspension test abnormality information and the suspension detection abnormality information as the sub-suspension detection abnormality information of the suspension detection type;

[0023] Sub-suspension detection abnormality information of all suspension detection types is used as suspension detection abnormality information of the vehicle, and sub-suspension detection abnormality causes of all suspension detection types are used as suspension detection abnormality causes of the vehicle.

[0024] Optionally, the generating a suspension detection report of the vehicle based on the suspension detection abnormality information of the vehicle and the suspension detection abnormality cause of the vehicle includes:

[0025] Obtaining a suspension test report template for the vehicle, and identifying filling position information of each suspension test type in the suspension test report template;

[0026] Extract the suspension abnormality features in the sub-suspension detection abnormality information of each suspension detection type and the abnormality cause features in the sub-suspension detection abnormality causes of each suspension detection type, and fill the suspension abnormality features of each suspension detection type and the abnormality cause features of each suspension detection type into the filling position information of each suspension detection type, respectively, to obtain the suspension detection report of the vehicle.

[0027] In a second aspect, the present application also provides an intelligent suspension detection device, comprising:

[0028] An acquisition module, used for acquiring suspension detection requirement information of a vehicle, and generating a suspension test process for each suspension detection type of the vehicle and a suspension test scheme for each suspension detection type of the vehicle based on the suspension detection requirement information;

[0029] A collection module, for collecting instrument detection data of each suspension detection type and suspension test data of each suspension detection type in response to a detection data upload operation performed by a staff member based on a suspension test process of each suspension detection type and a suspension test scheme of each suspension detection type;

[0030] an identification module, for identifying the suspension test results of each suspension detection type based on the instrument detection data of each suspension detection type and the suspension test data of each suspension detection type through the suspension detection evaluation strategy of each suspension detection type, and identifying the suspension detection abnormality information of the vehicle and the cause of the suspension detection abnormality of the vehicle based on the suspension test results of each suspension detection type;

[0031] A generating module is used to generate a suspension detection report of the vehicle based on the suspension detection abnormality information of the vehicle and the cause of the suspension detection abnormality of the vehicle.

[0032] Optionally, the acquisition module is specifically used to:

[0033] Splitting the suspension detection requirement information into sub-suspension detection requirement information of each suspension detection type, and identifying the equipment requirement information of each suspension detection type and the suspension detection condition of each suspension detection type based on the sub-suspension detection requirement information of each suspension detection type;

[0034] For each suspension detection type, based on the equipment requirement information of the suspension detection type, identify each equipment test node of the suspension detection type, and query the test process containing each equipment test node in the database as the suspension test process of the suspension detection type;

[0035] Based on the suspension detection conditions of the suspension detection type, the node test conditions of each device test node are identified, and the node test conditions of all test nodes are used as the suspension test scheme of each suspension detection type.

[0036] Optionally, the device further comprises:

[0037] A guidance scheme generating module, used for generating a suspension test guidance scheme for each suspension detection type based on the suspension test process for each suspension detection type and the suspension test scheme for each suspension detection type;

[0038] The sending module is used to send the suspension test guidance scheme of each suspension detection type to the staff client.

[0039] Optionally, the identification module is specifically used to:

[0040] For each suspension detection type, based on the detection data of the suspension detection type, identifying the vehicle suspension detection data distribution information corresponding to the suspension detection type, and based on the suspension test data of the suspension detection type, identifying the vehicle suspension test data distribution information corresponding to the suspension detection type;

[0041] Through the suspension detection evaluation strategy of the suspension detection type, the suspension detection results corresponding to the vehicle suspension detection data distribution information and the suspension test results corresponding to the vehicle suspension test data distribution information are identified, and the suspension detection results corresponding to the vehicle suspension detection data distribution information and the suspension test results corresponding to the vehicle suspension test data distribution information are used as the suspension test results of the suspension detection type.

[0042] Optionally, the identification module is specifically used to:

[0043] For each suspension detection type, based on the suspension test result of the suspension detection type, identifying the suspension test abnormality information of the vehicle through a suspension test abnormality identification network, and based on the suspension test result of the suspension detection type, identifying the suspension test abnormality information corresponding to the suspension test result through a suspension test abnormality identification network;

[0044] Based on the suspension test abnormality information and the suspension detection abnormality information, query the sub-suspension detection abnormality cause of the suspension detection type in the suspension abnormality database, and use the suspension test abnormality information and the suspension detection abnormality information as the sub-suspension detection abnormality information of the suspension detection type;

[0045] Sub-suspension detection abnormality information of all suspension detection types is used as suspension detection abnormality information of the vehicle, and sub-suspension detection abnormality causes of all suspension detection types are used as suspension detection abnormality causes of the vehicle.

[0046] Optionally, the generating module is specifically used for:

[0047] Obtaining a suspension test report template for the vehicle, and identifying filling position information of each suspension test type in the suspension test report template;

[0048] Extract the suspension abnormality features in the sub-suspension detection abnormality information of each suspension detection type and the abnormality cause features in the sub-suspension detection abnormality causes of each suspension detection type, and fill the suspension abnormality features of each suspension detection type and the abnormality cause features of each suspension detection type into the filling position information of each suspension detection type, respectively, to obtain the suspension detection report of the vehicle.

[0049] In a third aspect, the present application provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0050] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0051] In a fifth aspect, the present application provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0052] The above-mentioned intelligent suspension detection method, device and computer equipment obtain the suspension detection requirement information of the vehicle, and based on the suspension detection requirement information, generate the suspension test process of each suspension detection type of the vehicle and the suspension test scheme of each suspension detection type of the vehicle; in response to the staff's uploading operation of detection data after detection based on the suspension test process of each suspension detection type and the suspension test scheme of each suspension detection type, collect the instrument detection data of each suspension detection type and the suspension test data of each suspension detection type; based on the instrument detection data of each suspension detection type and the suspension test data of each suspension detection type, identify the suspension test results of each suspension detection type through the suspension detection evaluation strategy of each suspension detection type, and based on the suspension test results of each suspension detection type, identify the suspension detection abnormality information of the vehicle and the cause of the suspension detection abnormality of the vehicle; based on the suspension detection abnormality information of the vehicle and the cause of the suspension detection abnormality of the vehicle, generate a suspension detection report of the vehicle. This solution, by analyzing and splitting the suspension detection requirements of the vehicle, generates the suspension test process and suspension test scheme of each suspension detection type corresponding to the optional detection requirement information of the vehicle, thereby guiding the staff to perform suspension testing and detection, avoiding the inefficiency and high error problems of manual testing and detection, and improving the efficiency of suspension testing. Then, after obtaining the instrument detection data and suspension test data, this solution can intelligently analyze the test and detection data to identify the abnormal suspension detection information of the vehicle and the abnormal cause of the suspension detection of the vehicle, avoiding the judgment error caused by manual experience, and improving the comprehensiveness and accuracy of the analysis of suspension test abnormalities. Finally, the suspension detection report of the vehicle is directly generated, which is convenient for the staff and users to more intuitively and efficiently identify the suspension detection results, avoiding the inefficiency, low intuitiveness, and high error rate of manual analysis, thereby comprehensively improving the detection accuracy of the vehicle suspension. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0054] Figure 1 A schematic diagram of a flow chart of an intelligent suspension detection method in one embodiment;

[0055] Figure 2 A schematic diagram of a process of an intelligent suspension detection example in an embodiment;

[0056] Figure 3 is a structural block diagram of an intelligent suspension detection device in an embodiment;

[0057] Figure 4 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0059] The intelligent suspension detection method provided by the embodiment of the present application can be applied to the application environment of vehicle suspension detection. Among them, the method can be applied to a terminal, a server, or a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. Among them, the terminal can be, but is not limited to, various personal computers, laptops, medium-sized computers, etc. Among them, the terminal analyzes and splits the suspension detection requirements of the vehicle, generates the suspension test process of each suspension detection type corresponding to the optional detection requirement information of the vehicle, and the suspension test scheme of each suspension detection type, thereby guiding the staff to perform suspension testing and detection, avoiding the inefficiency and high error problems of manual testing and detection, and improving the efficiency of suspension testing. Then, after obtaining the instrument detection data and the suspension test data, this solution can perform intelligent analysis on the test and detection data, thereby identifying the abnormal suspension detection information of the vehicle and the abnormal cause of the suspension detection of the vehicle, avoiding the problem of judgment error affected by manual experience, and improving the comprehensiveness and accuracy of the analysis of suspension test abnormalities. Finally, the vehicle's suspension test report is directly generated, which allows staff and users to identify the suspension test results more intuitively and efficiently, avoiding the inefficiency, low intuitiveness, and high error rate of manual analysis, thereby comprehensively improving the detection accuracy of vehicle suspension.

[0060] In an exemplary embodiment, Figure 1 As shown, a smart suspension detection method is provided, which is described by taking the method applied to a terminal as an example, and includes the following steps S101 to S104. Among them:

[0061] Step S101 , obtaining suspension detection requirement information of the vehicle, and generating suspension test processes of various suspension detection types of the vehicle and suspension test schemes of various suspension detection types of the vehicle based on the suspension detection requirement information.

[0062] In this embodiment, the terminal obtains the suspension detection requirement information of the vehicle in response to the user's information upload operation. Since different users have different requirements for vehicle suspension detection, the optional detection methods for different vehicles are also different. For example, users report that the vehicle suspension vibrates too much, the vehicle transmission system is abnormal, the vehicle suspension is unbalanced, and other problems. For different problems, the terminal presets the suspension detection requirement information of different problems, and then, the terminal adapts each suspension detection requirement information based on the problems reported by the user. Among them, the suspension detection requirement information includes the sub-suspension detection requirement information of each suspension detection type. Among them, each suspension detection type is used to test the suspension at different angles, detect the corresponding test, and the detection type. The suspension detection type includes but is not limited to the suspension shock absorption performance test type, the suspension braking shock absorption performance test type, the suspension resonance attenuation performance test type, and the suspension rebound performance test type. Each suspension test process is a process for detecting different suspension detection types, and each suspension test scheme is a test method for each suspension detection type. Among them, the suspension test schemes corresponding to each suspension detection type are: testing the suspension rebound performance test type by pressing the body method, testing the suspension shock absorption performance test type by dropping method, testing the suspension braking shock absorption performance test type by braking method, and testing the suspension resonance attenuation performance test type by resonance method. After the above test methods, it also includes the detection type of structural detection of the suspension and the detection process of structural detection. Among them, structural detection is used to check whether the suspension spring has cracks, deformation, fragments, missing pieces, etc.; check whether the shock absorber has oil leakage, wear, corrosion and abnormal noise; check whether the suspension support rubber is aging, whether the buffer block is invalid, whether the connection and fastening bolts of the spring and guide device are loose, and other appearance structures. The specific identification process will be described in detail later.

[0063] Step S102, in response to the staff uploading the test data after the test based on the suspension test process of each suspension test type and the suspension test scheme of each suspension test type, collect the instrument test data of each suspension test type and the suspension test data of each suspension test type.

[0064] In this embodiment, the terminal responds to the staff's test data upload operation after the staff performs the test based on the suspension test process of each suspension test type and the suspension test scheme of each suspension test type, and collects the instrument test data of each suspension test type and the suspension test data of each suspension test type. Before the staff performs the test, the terminal generates a test process to guide the staff, thereby guiding the staff to perform the test and suspension test. The specific generation process will be described in detail later.

[0065] Step S103, based on the instrument detection data of each suspension detection type and the suspension test data of each suspension detection type, the suspension test results of each suspension detection type are identified through the suspension detection evaluation strategy of each suspension detection type, and based on the suspension test results of each suspension detection type, the vehicle's suspension detection abnormality information and the vehicle's suspension detection abnormality cause are identified.

[0066] In this embodiment, the terminal identifies the suspension test results of each suspension detection type based on the instrument detection data of each suspension detection type and the suspension test data of each suspension detection type through the suspension detection evaluation strategy of each suspension detection type, and identifies the suspension detection abnormality information of the vehicle and the cause of the suspension detection abnormality of the vehicle based on the suspension test results of each suspension detection type. Among them, the suspension test results include the suspension detection results corresponding to each suspension detection type and the suspension test results. The specific identification process will be described in detail later.

[0067] Step S104: generating a suspension detection report of the vehicle based on the suspension detection abnormality information of the vehicle and the cause of the suspension detection abnormality of the vehicle.

[0068] In this embodiment, the terminal generates a suspension detection report for the vehicle based on the suspension detection abnormality information and the cause of the suspension detection abnormality of the vehicle. The suspension detection report is used to intuitively feedback the abnormal information and cause of the vehicle to the staff and the user of the vehicle, thereby improving the intuitiveness of the abnormal information and cause of the abnormality and the recognition efficiency.

[0069] Based on the above scheme, by analyzing and splitting the suspension detection requirements of the vehicle, the suspension test process and suspension test scheme of each suspension detection type corresponding to the optional detection requirement information of the vehicle are generated, so as to guide the staff to perform suspension testing and detection, avoid the inefficiency and high error of manual testing and detection, and improve the efficiency of suspension testing. Then, after obtaining the instrument detection data and suspension test data, this scheme can intelligently analyze the test and detection data to identify the abnormal suspension detection information of the vehicle and the abnormal cause of the suspension detection of the vehicle, avoid the judgment error caused by manual experience, and improve the comprehensiveness and accuracy of the analysis of suspension test abnormalities. Finally, the suspension detection report of the vehicle is directly generated, which is convenient for the staff and users to more intuitively and efficiently identify the suspension detection results, avoid the inefficiency, low intuitiveness, and high error rate of manual analysis, and thus comprehensively improve the detection accuracy of the vehicle suspension.

[0070] Optionally, based on the suspension detection requirement information, a suspension test process for each suspension detection type of the vehicle and a suspension test scheme for each suspension detection type of the vehicle are generated, including: splitting the suspension detection requirement information into sub-suspension detection requirement information of each suspension detection type, and identifying the equipment requirement information of each suspension detection type and the suspension detection conditions of each suspension detection type based on the sub-suspension detection requirement information of each suspension detection type; for each suspension detection type, based on the equipment requirement information of the suspension detection type, identifying each equipment test node of the suspension detection type, and querying the test process containing each equipment test node in the database as the suspension test process of the suspension detection type; based on the suspension detection conditions of the suspension detection type, identifying the node test conditions of each equipment test node, and using the node test conditions of all test nodes as the suspension test scheme for each suspension detection type.

[0071] In this embodiment, the terminal splits the suspension detection requirement information into sub-suspension detection requirement information of each suspension detection type, and identifies the equipment requirement information of each suspension detection type and the suspension detection conditions of each suspension detection type based on the sub-suspension detection requirement information of each suspension detection type. Among them, the equipment requirement information is the requirement information of the suspension detection type for the detection equipment, and the suspension detection condition is the restriction condition of the test method of the suspension detection type, which is used to limit the test scope, test degree, or test frequency / frequency of the suspension detection type. For example, vibration intensity, vibration progressive intensity, braking speed, braking progressive speed, rebound pressure, rebound progressive pressure and other restriction conditions.

[0072] Then, for each suspension detection type, the terminal identifies each device test node of the suspension detection type based on the equipment requirement information of the suspension detection type, and queries the test process containing each device test node in the database as the suspension test process of the suspension detection type. Among them, the database includes the device test nodes corresponding to each detection device contained in each suspension test process, and the suspension test process corresponding to each device test node is the process information obtained by the staff through a lot of experience. Finally, the terminal identifies the node test conditions of each device test node based on the suspension detection conditions of the suspension detection type, and uses the node test conditions of all test nodes as the suspension test scheme for each suspension detection type.

[0073] Based on the above solution, the suspension detection requirement information is split into sub-suspension detection requirement information of each suspension detection type, thereby performing type identification, thereby improving the comprehensiveness and accuracy of the identification of the suspension detection requirement information.

[0074] Optionally, in response to the staff uploading the test data after the test based on the suspension test process of each suspension detection type and the suspension test plan of each suspension detection type, before collecting the instrument test data of each suspension detection type and the suspension test data of each suspension detection type, it also includes: generating a suspension test guidance plan for each suspension detection type based on the suspension test process of each suspension detection type and the suspension test plan of each suspension detection type; and sending the suspension test guidance plan for each suspension detection type to the staff client.

[0075] In this embodiment, the terminal generates a suspension test guidance scheme for each suspension detection type based on the suspension test process of each suspension detection type and the suspension test scheme of each suspension detection type. Specifically, the terminal generates a test flow table for each suspension detection type based on the suspension test process of each suspension detection type, and adds the node test condition of each test node to the test flow table to obtain the suspension test guidance scheme for each suspension detection type.

[0076] Finally, the terminal sends the suspension test guidance plan for each suspension detection type to the staff client.

[0077] Based on the above scheme, by generating a suspension test guidance scheme, test guidance is provided to the staff when they perform suspension tests, thereby improving the staff's suspension test accuracy and suspension test efficiency.

[0078] Optionally, based on the instrument detection data of each suspension detection type and the suspension test data of each suspension detection type, the suspension test results of each suspension detection type are identified through the suspension detection evaluation strategy of each suspension detection type, including: for each suspension detection type, based on the detection data of the suspension detection type, identifying the vehicle suspension detection data distribution information corresponding to the suspension detection type, and based on the suspension test data of the suspension detection type, identifying the vehicle suspension test data distribution information corresponding to the suspension detection type; through the suspension detection evaluation strategy of the suspension detection type, identifying the suspension detection results corresponding to the vehicle suspension detection data distribution information and the suspension test results corresponding to the vehicle suspension test data distribution information, and using the suspension detection results corresponding to the vehicle suspension detection data distribution information and the suspension test results corresponding to the vehicle suspension test data distribution information as the suspension test results of the suspension detection type.

[0079] In this embodiment, for each suspension detection type, the terminal identifies the vehicle suspension detection data distribution information corresponding to the suspension detection type based on the detection data of the suspension detection type, and identifies the vehicle suspension test data distribution information corresponding to the suspension detection type based on the suspension test data of the suspension detection type. The vehicle suspension test data distribution information is the distribution information obtained by arranging the suspension test data of different test results generated by the suspension test methods of different suspension detection types when multiple batches of suspensions are tested to different degrees. The vehicle suspension detection data distribution information is the distribution information obtained by arranging the appearance detection results obtained by performing the appearance detection of the vehicle structure corresponding to the different suspension detection types according to the distribution position of the appearance structure.

[0080] Then, the terminal identifies the suspension detection results corresponding to the vehicle suspension detection data distribution information and the suspension test results corresponding to the vehicle suspension test data distribution information through the suspension detection evaluation strategy of the suspension detection type, and uses the suspension detection results corresponding to the vehicle suspension detection data distribution information and the suspension test results corresponding to the vehicle suspension test data distribution information as the suspension test results of the suspension detection type. Among them, the suspension detection evaluation strategy is an evaluation strategy for evaluating the distribution range of each distribution information and the distribution trend of each distribution information, and the evaluation strategy includes the corresponding relationship between each distribution range, distribution trend range and evaluation value. Based on the distribution range of each distribution information and the distribution information, the terminal queries the evaluation value corresponding to each distribution information, and obtains the suspension detection results corresponding to the vehicle suspension detection data distribution information and the suspension test results corresponding to the vehicle suspension test data distribution information.

[0081] Based on the above scheme, the suspension test data distribution information of each vehicle and the suspension detection data distribution information of each vehicle are identified and evaluated and analyzed to obtain the suspension test results of each suspension detection type, thereby improving the comprehensiveness and accuracy of the identification of the suspension test results.

[0082] Optionally, based on the suspension test results of each suspension detection type, the suspension detection abnormality information of the vehicle and the cause of the suspension detection abnormality of the vehicle are identified, including: for each suspension detection type, based on the suspension test results of the suspension detection type, the suspension test abnormality information of the vehicle is identified through a suspension detection abnormality identification network, and based on the suspension detection result of the suspension detection type, the suspension detection abnormality information corresponding to the suspension detection result is identified through a suspension test abnormality identification network; based on the suspension test abnormality information and the suspension detection abnormality information, the sub-suspension detection abnormality cause of the suspension detection type is queried in a suspension abnormality database, and the suspension test abnormality information and the suspension detection abnormality information are used as the sub-suspension detection abnormality information of the suspension detection type; the sub-suspension detection abnormality information of all suspension detection types is used as the suspension detection abnormality information of the vehicle, and the sub-suspension detection abnormality causes of all suspension detection types are used as the suspension detection abnormality causes of the vehicle.

[0083] In this embodiment, the terminal identifies the suspension test abnormality information of the vehicle through a suspension test abnormality recognition network based on the suspension test results of the suspension test type for each suspension detection type. The suspension test abnormality recognition network is a neural network obtained by training a reinforcement learning artificial neural network through sample suspension test results and sample suspension test abnormality information of each suspension detection type.

[0084] Then, the terminal identifies the suspension detection abnormality information corresponding to the suspension detection result through the suspension test abnormality recognition network based on the suspension detection result of the suspension detection type. The suspension test abnormality recognition network is a neural network obtained by training a reinforcement learning type artificial neural network through sample suspension detection results of each suspension detection type and sample suspension detection abnormality information.

[0085] Then, based on the suspension test abnormality information and the suspension detection abnormality information, the terminal queries the sub-suspension detection abnormality cause of the suspension detection type in the suspension abnormality database, and uses the suspension test abnormality information and the suspension detection abnormality information as the sub-suspension detection abnormality information of the suspension detection type. Finally, the terminal uses the sub-suspension detection abnormality information of all suspension detection types as the suspension detection abnormality information of the vehicle, and uses the sub-suspension detection abnormality causes of all suspension detection types as the suspension detection abnormality causes of the vehicle.

[0086] Based on the above scheme, the trained neural network is used to identify each suspension test abnormality information and suspension detection abnormality information respectively, and then the sub-suspension abnormality cause of each suspension type is queried, thereby improving the recognition efficiency and accuracy of suspension abnormality information and the recognition efficiency of suspension abnormality causes.

[0087] Optionally, based on the vehicle's suspension detection abnormality information and the vehicle's suspension detection abnormality cause, a suspension detection report for the vehicle is generated, including: obtaining the vehicle's suspension detection report template, and identifying the filling position information of each suspension detection type in the suspension detection report template; extracting the suspension abnormality features in the sub-suspension detection abnormality information of each suspension detection type, and the abnormality cause features in the sub-suspension detection abnormality cause of each suspension detection type, and filling the suspension abnormality features of each suspension detection type and the abnormality cause features of each suspension detection type into the filling position information of each suspension detection type, respectively, to obtain the vehicle's suspension detection report.

[0088] In this embodiment, the terminal obtains the suspension detection report template of the vehicle and identifies the filling position information of each suspension detection type in the suspension detection report template. Then, the terminal extracts the suspension abnormality features in the text information corresponding to the sub-suspension detection abnormality information of each suspension detection type and the abnormality cause features in the text information corresponding to the sub-suspension detection abnormality cause of each suspension detection type through the text feature extraction network, and fills the suspension abnormality features of each suspension detection type and the abnormality cause features of each suspension detection type into the filling position information of each suspension detection type, respectively, to obtain the suspension detection report of the vehicle.

[0089] Based on the above scheme, the suspension abnormality features of each suspension detection type and the abnormal cause features of each suspension detection type are extracted by feature extraction, and then the suspension detection report of the vehicle is generated, which not only improves the generation efficiency of the suspension detection report, but also improves the visualization effect of the suspension detection report.

[0090] This application also provides an example of intelligent suspension detection, such as Figure 2 As shown, the specific processing process includes the following steps:

[0091] Step S201, obtaining suspension detection requirement information of the vehicle.

[0092] Step S202, splitting the suspension detection requirement information into sub-suspension detection requirement information of each suspension detection type, and identifying the equipment requirement information of each suspension detection type and the suspension detection condition of each suspension detection type based on the sub-suspension detection requirement information of each suspension detection type.

[0093] Step S203, for each suspension detection type, based on the equipment requirement information of the suspension detection type, identify each equipment test node of the suspension detection type, and query the test process containing each equipment test node in the database as the suspension test process of the suspension detection type.

[0094] Step S204, based on the suspension detection conditions of the suspension detection type, identifying the node test conditions of each device test node, and using the node test conditions of all test nodes as the suspension test scheme of each suspension detection type.

[0095] Step S205, in response to the staff uploading the test data after the test based on the suspension test process of each suspension test type and the suspension test scheme of each suspension test type, collect the instrument test data of each suspension test type and the suspension test data of each suspension test type.

[0096] Step S206, for each suspension detection type, based on the detection data of the suspension detection type, identify the vehicle suspension detection data distribution information corresponding to the suspension detection type, and based on the suspension test data of the suspension detection type, identify the vehicle suspension test data distribution information corresponding to the suspension detection type.

[0097] Step S207, through the suspension detection evaluation strategy of the suspension detection type, identify the suspension detection results corresponding to the vehicle suspension detection data distribution information, and the suspension test results corresponding to the vehicle suspension test data distribution information, and use the suspension detection results corresponding to the vehicle suspension detection data distribution information, and the suspension test results corresponding to the vehicle suspension test data distribution information as the suspension test results of the suspension detection type.

[0098] Step S208, for each suspension detection type, based on the suspension test results of the suspension detection type, the suspension test abnormality information of the vehicle is identified through the suspension detection abnormality recognition network, and based on the suspension detection results of the suspension detection type, the suspension detection abnormality information corresponding to the suspension detection result is identified through the suspension test abnormality recognition network.

[0099] Step S209, based on the suspension test abnormality information and the suspension detection abnormality information, query the suspension detection type sub-suspension detection abnormality cause in the suspension abnormality database, and use the suspension test abnormality information and the suspension detection abnormality information as the suspension detection type sub-suspension detection abnormality information.

[0100] Step S210: taking the sub-suspension detection abnormality information of all suspension detection types as the suspension detection abnormality information of the vehicle, and taking the sub-suspension detection abnormality causes of all suspension detection types as the suspension detection abnormality causes of the vehicle.

[0101] Step S211, obtaining a suspension test report template of the vehicle, and identifying filling position information of each suspension test type in the suspension test report template.

[0102] Step S212, extract the suspension abnormality features in the sub-suspension detection abnormality information of each suspension detection type, and the abnormality cause features in the sub-suspension detection abnormality causes of each suspension detection type, and fill the suspension abnormality features of each suspension detection type and the abnormality cause features of each suspension detection type into the filling position information of each suspension detection type, respectively, to obtain the suspension detection report of the vehicle.

[0103] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0104] Based on the same inventive concept, the embodiment of the present application also provides an intelligent suspension detection device for implementing the intelligent suspension detection method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more intelligent suspension detection device embodiments provided below can refer to the limitations of the intelligent suspension detection method above, and will not be repeated here.

[0105] In an exemplary embodiment, Figure 3 As shown, an intelligent suspension detection device is provided, including: an acquisition module 310, a collection module 320, a recognition module 330 and a generation module 340, wherein:

[0106] An acquisition module 310, configured to acquire suspension detection requirement information of a vehicle, and generate a suspension test process for each suspension detection type of the vehicle and a suspension test scheme for each suspension detection type of the vehicle based on the suspension detection requirement information;

[0107] The collection module 320 is used for collecting instrument detection data of each suspension detection type and suspension test data of each suspension detection type in response to the staff uploading the detection data after the detection based on the suspension test process of each suspension detection type and the suspension test scheme of each suspension detection type;

[0108] an identification module 330, configured to identify the suspension test results of each suspension detection type based on the instrument detection data of each suspension detection type and the suspension test data of each suspension detection type through the suspension detection evaluation strategy of each suspension detection type, and to identify the suspension detection abnormality information of the vehicle and the cause of the suspension detection abnormality of the vehicle based on the suspension test results of each suspension detection type;

[0109] The generating module 340 is used to generate a suspension detection report of the vehicle based on the suspension detection abnormality information of the vehicle and the cause of the suspension detection abnormality of the vehicle.

[0110] Optionally, the acquisition module 310 is specifically configured to:

[0111] Splitting the suspension detection requirement information into sub-suspension detection requirement information of each suspension detection type, and identifying the equipment requirement information of each suspension detection type and the suspension detection condition of each suspension detection type based on the sub-suspension detection requirement information of each suspension detection type;

[0112] For each suspension detection type, based on the equipment requirement information of the suspension detection type, identify each equipment test node of the suspension detection type, and query the test process containing each equipment test node in the database as the suspension test process of the suspension detection type;

[0113] Based on the suspension detection conditions of the suspension detection type, the node test conditions of each device test node are identified, and the node test conditions of all test nodes are used as the suspension test scheme of each suspension detection type.

[0114] Optionally, the device further comprises:

[0115] A guidance scheme generating module, used for generating a suspension test guidance scheme for each suspension detection type based on the suspension test process for each suspension detection type and the suspension test scheme for each suspension detection type;

[0116] The sending module is used to send the suspension test guidance scheme of each suspension detection type to the staff client.

[0117] Optionally, the identification module 330 is specifically used to:

[0118] For each suspension detection type, based on the detection data of the suspension detection type, identifying the vehicle suspension detection data distribution information corresponding to the suspension detection type, and based on the suspension test data of the suspension detection type, identifying the vehicle suspension test data distribution information corresponding to the suspension detection type;

[0119] Through the suspension detection evaluation strategy of the suspension detection type, the suspension detection results corresponding to the vehicle suspension detection data distribution information and the suspension test results corresponding to the vehicle suspension test data distribution information are identified, and the suspension detection results corresponding to the vehicle suspension detection data distribution information and the suspension test results corresponding to the vehicle suspension test data distribution information are used as the suspension test results of the suspension detection type.

[0120] Optionally, the identification module 330 is specifically used to:

[0121] For each suspension detection type, based on the suspension test result of the suspension detection type, identifying the suspension test abnormality information of the vehicle through a suspension test abnormality identification network, and based on the suspension test result of the suspension detection type, identifying the suspension test abnormality information corresponding to the suspension test result through a suspension test abnormality identification network;

[0122] Based on the suspension test abnormality information and the suspension detection abnormality information, query the sub-suspension detection abnormality cause of the suspension detection type in the suspension abnormality database, and use the suspension test abnormality information and the suspension detection abnormality information as the sub-suspension detection abnormality information of the suspension detection type;

[0123] Sub-suspension detection abnormality information of all suspension detection types is used as suspension detection abnormality information of the vehicle, and sub-suspension detection abnormality causes of all suspension detection types are used as suspension detection abnormality causes of the vehicle.

[0124] Optionally, the generating module 340 is specifically configured to:

[0125] Obtaining a suspension test report template for the vehicle, and identifying filling position information of each suspension test type in the suspension test report template;

[0126] Extract the suspension abnormality features in the sub-suspension detection abnormality information of each suspension detection type and the abnormality cause features in the sub-suspension detection abnormality causes of each suspension detection type, and fill the suspension abnormality features of each suspension detection type and the abnormality cause features of each suspension detection type into the filling position information of each suspension detection type, respectively, to obtain the suspension detection report of the vehicle.

[0127] Each module in the above-mentioned intelligent suspension detection device can be implemented in whole or in part by software, hardware and their combination. Each module can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each module.

[0128] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 4 As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a smart suspension detection method is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0129] Those skilled in the art will understand that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0130] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps corresponding to the intelligent suspension detection method when executing the computer program.

[0131] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps corresponding to the intelligent suspension detection method are implemented.

[0132] In one embodiment, a computer program product is provided, including a computer program, which implements the steps corresponding to the intelligent suspension detection method when executed by a processor.

[0133] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0134] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0135] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0136] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. An intelligent suspension detection method, characterized in that: The method comprises: Acquiring suspension detection requirement information of a vehicle, and generating a suspension test process for each suspension detection type of the vehicle and a suspension test scheme for each suspension detection type of the vehicle based on the suspension detection requirement information; In response to the staff uploading the test data after the test based on the suspension test process of each suspension test type and the suspension test scheme of each suspension test type, collecting the instrument test data of each suspension test type and the suspension test data of each suspension test type; Based on the instrument detection data of each suspension detection type and the suspension test data of each suspension detection type, the suspension test results of each suspension detection type are identified through the suspension detection evaluation strategy of each suspension detection type, and based on the suspension test results of each suspension detection type, the suspension detection abnormality information of the vehicle and the cause of the suspension detection abnormality of the vehicle are identified; A suspension detection report of the vehicle is generated based on the suspension detection abnormality information of the vehicle and the suspension detection abnormality cause of the vehicle.

2. The method according to claim 1, characterized in that The generating, based on the suspension detection requirement information, a suspension test process for each suspension detection type of the vehicle and a suspension test scheme for each suspension detection type of the vehicle comprises: Splitting the suspension detection requirement information into sub-suspension detection requirement information of each suspension detection type, and identifying the equipment requirement information of each suspension detection type and the suspension detection condition of each suspension detection type based on the sub-suspension detection requirement information of each suspension detection type; For each suspension detection type, based on the equipment requirement information of the suspension detection type, identify each equipment test node of the suspension detection type, and query the test process containing each equipment test node in the database as the suspension test process of the suspension detection type; Based on the suspension detection conditions of the suspension detection type, the node test conditions of each device test node are identified, and the node test conditions of all test nodes are used as the suspension test scheme of each suspension detection type.

3. The method according to claim 1, characterized in that In response to the staff uploading the test data after the test based on the suspension test process of each suspension test type and the suspension test scheme of each suspension test type, before collecting the instrument test data of each suspension test type and the suspension test data of each suspension test type, it also includes: Generate a suspension test guidance scheme for each suspension detection type based on the suspension test process for each suspension detection type and the suspension test scheme for each suspension detection type; The suspension test guidance scheme for each suspension detection type is sent to the staff client.

4. The method according to claim 1, characterized in that: The method of identifying the suspension test results of each suspension detection type based on the instrument detection data of each suspension detection type and the suspension test data of each suspension detection type by using the suspension detection evaluation strategy of each suspension detection type includes: For each suspension detection type, based on the detection data of the suspension detection type, identifying the vehicle suspension detection data distribution information corresponding to the suspension detection type, and based on the suspension test data of the suspension detection type, identifying the vehicle suspension test data distribution information corresponding to the suspension detection type; Through the suspension detection evaluation strategy of the suspension detection type, the suspension detection results corresponding to the vehicle suspension detection data distribution information and the suspension test results corresponding to the vehicle suspension test data distribution information are identified, and the suspension detection results corresponding to the vehicle suspension detection data distribution information and the suspension test results corresponding to the vehicle suspension test data distribution information are used as the suspension test results of the suspension detection type.

5. The method according to claim 4, characterized in that The identifying the abnormal suspension detection information of the vehicle and the abnormal suspension detection cause of the vehicle based on the suspension test results of each suspension detection type includes: For each suspension detection type, based on the suspension test result of the suspension detection type, identifying the suspension test abnormality information of the vehicle through a suspension test abnormality identification network, and based on the suspension test result of the suspension detection type, identifying the suspension test abnormality information corresponding to the suspension test result through a suspension test abnormality identification network; Based on the suspension test abnormality information and the suspension detection abnormality information, query the sub-suspension detection abnormality cause of the suspension detection type in the suspension abnormality database, and use the suspension test abnormality information and the suspension detection abnormality information as the sub-suspension detection abnormality information of the suspension detection type; Sub-suspension detection abnormality information of all suspension detection types is used as suspension detection abnormality information of the vehicle, and sub-suspension detection abnormality causes of all suspension detection types are used as suspension detection abnormality causes of the vehicle.

6. The method according to claim 5, characterized in that The generating of the suspension detection report of the vehicle based on the suspension detection abnormality information of the vehicle and the suspension detection abnormality cause of the vehicle includes: Obtaining a suspension test report template for the vehicle, and identifying filling position information of each suspension test type in the suspension test report template; Extract the suspension abnormality features in the sub-suspension detection abnormality information of each suspension detection type and the abnormality cause features in the sub-suspension detection abnormality causes of each suspension detection type, and fill the suspension abnormality features of each suspension detection type and the abnormality cause features of each suspension detection type into the filling position information of each suspension detection type, respectively, to obtain the suspension detection report of the vehicle.

7. An intelligent suspension detection device, characterized in that: The device comprises: An acquisition module, used for acquiring suspension detection requirement information of a vehicle, and generating a suspension test process for each suspension detection type of the vehicle and a suspension test scheme for each suspension detection type of the vehicle based on the suspension detection requirement information; A collection module, for collecting instrument detection data of each suspension detection type and suspension test data of each suspension detection type in response to a detection data upload operation performed by a staff member based on a suspension test process of each suspension detection type and a suspension test scheme of each suspension detection type; an identification module, for identifying the suspension test results of each suspension detection type based on the instrument detection data of each suspension detection type and the suspension test data of each suspension detection type through the suspension detection evaluation strategy of each suspension detection type, and identifying the suspension detection abnormality information of the vehicle and the cause of the suspension detection abnormality of the vehicle based on the suspension test results of each suspension detection type; A generating module is used to generate a suspension detection report of the vehicle based on the suspension detection abnormality information of the vehicle and the cause of the suspension detection abnormality of the vehicle.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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