Diagnostic equipment function operation path determination method and related device

Abstract

The invention discloses a diagnostic equipment function operation path determination method and a related device, and the method comprises the steps: firstly obtaining the equipment data of target diagnostic equipment, the vehicle fault scene data of a target vehicle, and the user portrait data of diagnostic personnel; determining k diagnostic equipment function operation paths and k reliability degree values based on the equipment data, the vehicle fault scene data and the user portrait data, generating a first function operation path list based on the k diagnostic equipment function operation paths and the k reliability degree values, and generating first inquiry information based on the first function operation path list; and finally, determining a first target diagnosis equipment function operation path corresponding to response information of the diagnosis personnel for the first inquiry information so as to guide the diagnosis personnel to use the target diagnosis equipment to perform diagnosis operation on the target vehicle according to the first target diagnosis equipment function operation path. By adopting the embodiment of the invention, the fault diagnosis efficiency of the vehicle is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicle diagnosis, and in particular to a method for determining a functional operation path of a diagnosis device and related apparatus. BACKGROUND

[0002] In the field of vehicle fault diagnosis, a diagnosis device is a core tool for maintenance personnel to troubleshoot vehicle faults, and its functions cover fault code reading, data flow analysis, component detection, diagnosis report generation, and other aspects. With the continuous enrichment of vehicle brands, models and configurations, the fault types corresponding to different vehicles are increasingly complex, and the firmware version and software functions of the diagnosis device are also continuously iterated, resulting in an increase in the operation interface level of the diagnosis device and a complex function option. Currently, when using the diagnosis device, maintenance personnel often need to rely on their personal experience to find the operation steps that adapt to the current vehicle fault from a large number of function menus. Novice maintenance personnel are prone to make mistakes in selecting operation paths and missing key detection steps due to insufficient familiarity with device functions and fault scenarios, which not only prolongs the fault diagnosis time, but also may result in inaccurate diagnosis data or abnormal device functions due to improper operation. Therefore, how to improve the efficiency of vehicle fault diagnosis is a problem that needs to be solved. SUMMARY

[0003] The embodiments of the present application provide a method for determining a functional operation path of a diagnosis device and related apparatus, which improves the efficiency of vehicle fault diagnosis.

[0004] In a first aspect, the embodiments of the present application provide a method for determining a functional operation path of a diagnosis device, comprising: obtaining device data of a target diagnosis device, vehicle fault scenario data of a target vehicle, and user portrait data of a diagnosis personnel; determining k diagnosis device functional operation paths and k reliable degree values corresponding to the k diagnosis device functional operation paths based on the device data, the vehicle fault scenario data, and the user portrait data; k is a positive integer, each diagnosis device functional operation path corresponds to a reliable degree value, and the greater the reliable degree value, the more reliable the corresponding diagnosis device functional operation path; generating a first functional operation path list based on the k diagnosis device functional operation paths and the k reliable degree values; generating first inquiry information based on the first functional operation path list; the first inquiry information is used for the diagnosis personnel to select a diagnosis device functional operation path that the diagnosis personnel wants to use from the k diagnosis device functional operation paths; determining a first target diagnosis device functional operation path corresponding to the response information of the diagnosis personnel to the first inquiry information, to guide the diagnosis personnel to use the target diagnosis device to perform a diagnosis operation on the target vehicle according to the first target diagnosis device functional operation path.

[0005] In a second aspect, the embodiments of the present application provide a device function operation path determination apparatus, comprising an acquisition unit and a processing unit; The acquisition unit is configured to acquire device data of a target diagnosis device, vehicle fault scene data of a target vehicle, and user portrait data of a diagnosis personnel; The processing unit is configured to determine k diagnosis device function operation paths and k reliability degree values corresponding to the k diagnosis device function operation paths based on the device data, the vehicle fault scene data, and the user portrait data; k is a positive integer, each diagnosis device function operation path corresponds to a reliability degree value, and the greater the reliability degree value, the more reliable the corresponding diagnosis device function operation path; generating a first function operation path list based on the k diagnosis device function operation paths and the k reliability degree values; generating first inquiry information based on the first function operation path list; the first inquiry information is used for the diagnosis personnel to select a diagnosis device function operation path that the diagnosis personnel wants to use from the k diagnosis device function operation paths; determining a first target diagnosis device function operation path corresponding to response information of the diagnosis personnel to the first inquiry information, so as to guide the diagnosis personnel to use the target diagnosis device to perform diagnosis operation on the target vehicle according to the first target diagnosis device function operation path.

[0006] In a third aspect, the embodiments of the present application provide an electronic device, comprising a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor to enable the electronic device to perform the method of the first aspect.

[0007] In a fourth aspect, the embodiments of the present application provide a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the method of the first aspect.

[0008] In a fifth aspect, the embodiments of the present application provide a computer program product, which comprises a non-transitory computer readable storage medium storing a computer program, so that a computer executes the method of the first aspect.

[0009] The embodiments of the present application have the following beneficial effects: As can be seen, the diagnostic equipment function operation path determination method described in the embodiments of the present application first acquires equipment data of a target diagnostic equipment, vehicle fault scene data of a target vehicle and user portrait data of a diagnostic personnel, then determines k diagnostic equipment function operation paths and k reliable degree values corresponding to the k diagnostic equipment function operation paths based on the equipment data, the vehicle fault scene data and the user portrait data, wherein k is a positive integer, each diagnostic equipment function operation path corresponds to a reliable degree value, the greater the reliable degree value, the more reliable the corresponding diagnostic equipment function operation path, then generates a first function operation path list based on the k diagnostic equipment function operation paths and the k reliable degree values, then generates first inquiry information based on the first function operation path list, the first inquiry information is used for the diagnostic personnel to select a diagnostic equipment function operation path wanted to use from the k diagnostic equipment function operation paths, and finally determines a first target diagnostic equipment function operation path corresponding to response information of the diagnostic personnel to the first inquiry information, so as to guide the diagnostic personnel to use the target diagnostic equipment to perform diagnostic operation on the target vehicle according to the first target diagnostic equipment function operation path. By using the embodiments of the present application, the fault diagnosis efficiency of the vehicle is improved. BRIEF DESCRIPTION OF DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the background art, the drawings required to be used in the embodiments of the present application or the background art will be described below.

[0011] Figure 1 is a flowchart of a diagnostic equipment function operation path determination method provided by the embodiments of the present application; Figure 2 is a flowchart of determining k diagnostic equipment function operation paths provided by the embodiments of the present application; Figure 3 is a flowchart of determining n reliable degree values provided by the embodiments of the present application; Figure 4 is a flowchart of determining a reliable degree value corresponding to a first diagnostic equipment function operation path provided by the embodiments of the present application; Figure 5 is a flowchart of determining diagnostic timeout prompt information provided by the embodiments of the present application; Figure 6 is a flowchart of determining a second target diagnostic equipment function operation path provided by the embodiments of the present application; Figure 7 is a structural schematic diagram of a diagnostic equipment function operation path determination device provided by the embodiments of the present application; Figure 8is a structural schematic diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0012] In order for those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the present application.

[0013] The terms “first”, “second”, and the like in the specification and claims of the present application and the above-described drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms “include” and “have” and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but can optionally include steps or units not listed, or can optionally include other steps or units inherent to the process, method, product, or device.

[0014] Reference herein to “an embodiment” means that a particular feature, structure, or characteristic described in connection with an embodiment can be included in at least one embodiment of the present application. The appearance of the phrase in various places in the specification does not necessarily all refer to the same embodiment, nor is it necessarily mutually exclusive of other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0015] Please refer to Figure 1 , Figure 1 is a flowchart of a diagnostic equipment function operation path determination method provided by an embodiment of the present application, including but not limited to the following steps: S101: Obtain equipment data of a target diagnostic equipment, vehicle fault scene data of a target vehicle, and user portrait data of a diagnostic personnel.

[0016] In the present embodiment, the equipment data of the target diagnostic equipment is key data for clearly defining the basic information, function state, and adaptation capability of the diagnostic equipment, and the core is to provide equipment level basis for subsequent matching of compatible operation paths. Specifically, it includes equipment brand and model, current firmware version and software version, activated function modules (such as the new energy high-voltage system diagnosis function has been opened, and the transmission gearbox deep detection module has not been activated), equipment hardware state and historical use record. These data directly determine whether the operation path can be normally executed on the equipment, avoiding path failure due to version incompatibility or function inactivation.

[0017] The vehicle fault scene data of the target vehicle is core data that characterizes vehicle fault related information and basic state, provides vehicle level support for positioning fault type and generating accurate diagnosis path, and specifically includes vehicle brand, model and year, vehicle identification code, current reported fault code and interpretation, fault associated frozen frame data, current basic state of the vehicle and past fault records. These data directly determine the detection direction and core steps that the path needs to include, ensuring that the path can accurately point to the current fault.

[0018] The user portrait data of the diagnosis personnel is multi-dimensional data that comprehensively characterizes the professional ability, operation habit and adaptation needs of the diagnosis personnel, provides personnel level reference for generating personalized path that fits individual characteristics, and specifically includes skill experience, operation preference, historical operation performance and scene demand. These data directly determine the detailed level of path guidance, operation logic and auxiliary functions, ensuring that the path can match the ability level of the diagnosis personnel and fit their operation habit and current work scene.

[0019] When obtaining the device data of the target diagnosis equipment, the device data can be automatically collected through the system interface of the diagnosis equipment itself. The device can report basic information such as brand, model, firmware version and software version in real time, detect and record the current hardware running state, and also can call the historical use log of the device to extract the past frequently used function module call frequency, the main diagnosed vehicle type range and other data. The device data can be obtained without manual input by the diagnosis personnel. When obtaining the vehicle fault scene data of the target vehicle, the diagnosis equipment is connected with the vehicle port first, the vehicle identification code is read automatically to confirm the basic identity information such as brand, model and year, the fault code and corresponding fault interpretation stored in the vehicle control system are called, the frozen frame data such as voltage, current and temperature at the time of fault occurrence are synchronously collected, the current basic state data of the vehicle such as battery power and engine running state are obtained, and if the device supports, the past fault repair records of the vehicle can be inquired, so that the vehicle fault scene related data are collected completely. When obtaining the user portrait data of the diagnosis personnel, some basic information can be obtained through the registration information of the diagnosis personnel when using the device for the first time, and the operation behavior of the diagnosis personnel can be recorded automatically by the system to supplement the data, and the diagnosis personnel can manually set personal operation preferences such as whether detailed step guidance is needed and whether voice prompt is turned on. Combined with the automatically collected and manually set information, the complete user portrait data of the diagnosis personnel can be obtained.

[0020] S102: Determine k diagnosis equipment function operation paths and k reliable degree values corresponding to the k diagnosis equipment function operation paths based on the device data, the vehicle fault scene data and the user portrait data.

[0021] In the embodiment, k is a positive integer, each diagnostic equipment function operation path corresponds to a reliability degree value, and the greater the reliability degree value, the more reliable the corresponding diagnostic equipment function operation path.

[0022] When the k diagnostic equipment function operation paths and the corresponding reliability degree values are determined based on the equipment data vehicle fault scene data and the user portrait data, the data can be input into a preset path generation model. The model first screens out operation processes compatible with the current diagnostic equipment firmware version and supported by the function module according to the equipment data, excludes paths that cannot be executed due to mismatched equipment versions or inactive functions, further locks paths suitable for the current fault code vehicle model year and fault state from the screened processes in combination with the vehicle fault scene data, ensures that the paths can solve the current vehicle fault, then adjusts the step details of the paths by referring to the user portrait data, and thus the k diagnostic equipment function operation paths are determined.

[0023] After the k diagnostic equipment function operation paths are determined, the k reliability degree values corresponding to the k diagnostic equipment function operation paths can be determined by analyzing the historical successful diagnosis rates of the diagnostic equipment function operation paths, and the specific determination manner is not limited herein. It should be explained that the reliability degree value in the embodiment can also be a confidence degree corresponding to the diagnostic equipment function operation path, and the k diagnostic equipment function operation paths can be 3 to 5 diagnostic equipment function operation paths, which are not limited herein.

[0024] S103: Generate a first function operation path list based on the k diagnostic equipment function operation paths and the k reliability degree values.

[0025] In the embodiment, when the list is generated, the k diagnostic equipment function operation paths can be arranged in order of reliability degree value from large to small as the core sorting basis, so that the diagnostic personnel can intuitively see the paths with higher reliability first, and the screening time is reduced. Meanwhile, the key information of each path is clearly presented in the first function operation path list, including the corresponding reliability degree value, the core operation step summary of the path, such as the main diagnostic links and key actions covered by the path, the equipment version range, vehicle fault type and diagnostic personnel skill level requirement adapted by the path, and the like, so that the diagnostic personnel can quickly understand the applicable scene and operation focus of each path through the list. In addition, the presentation form of the first function operation path list is optimized in combination with the interface design of the diagnostic equipment, such as adopting a simple entry type layout, each path is a separate entry, and the key information is highlighted to let the diagnostic personnel clearly distinguish the differences between different paths when viewing.

[0026] The presentation form of the first function operation path list is designed in combination with the interface interaction logic of the diagnostic equipment and the viewing habits of the diagnostic personnel, and the overall layout is mainly clear and intuitive in the form of entries. Each diagnostic equipment function operation path is arranged as an independent entry. Key information is sequentially displayed in each entry. Usually, the core identifier of the path is marked at the top, and the corresponding reliability value is followed below. The reliability value is highlighted in bold font or color, such as bold black numbers or green gradient font, so that the diagnostic personnel can quickly capture the reliability level. The core characteristics of the path are briefly presented in the middle of the entry, such as the number of key operation steps, the time length of the expected diagnosis, the adapted equipment firmware version range, and whether it is suitable for beginners or experienced diagnostic personnel. These contents are arranged in simple words in rows or areas to avoid information congestion. The list of some devices also sets auxiliary identifiers on the right side of the entry, such as adding star icons for paths with high reliability values, or marking recommended labels for paths that adapt to the skill level of the current diagnostic personnel. The bottom of the list may set a scroll bar or page button to facilitate the diagnostic personnel to quickly switch and view different entries when k is large. The overall interface is kept simple and free of redundant elements to ensure that the diagnostic personnel can quickly browse and understand the core information of each path in a short time.

[0027] S104: generating first inquiry information based on the first function operation path list.

[0028] In the present embodiment, the first inquiry information is used for the diagnostic personnel to select the diagnostic equipment function operation path that the diagnostic personnel wants to use from the k diagnostic equipment function operation paths. First, the diagnostic personnel is explicitly informed in the inquiry information that there are currently k adapted diagnostic equipment function operation paths for selection, and the purpose of selecting the path is briefly explained to match the current diagnostic equipment vehicle fault scene and personal operation habits, so that the diagnostic personnel can clearly understand the significance of the selection. Then, the key information in the first function operation path list is integrated into the inquiry information, usually in the form of simple entries to present the core content of each path, including the reliability value corresponding to the path name and the adapted key scene information, such as the fault type or the skill level suitable for a certain path. The information presentation maintains the same reliability order as the list to facilitate the diagnostic personnel to continue the viewing logic. Finally, explicit operation guidance is added in the inquiry information, such as prompting the diagnostic personnel to determine the path they want to use by clicking the path entry or selecting the corresponding serial number. Some devices also set confirm and cancel buttons at the bottom of the inquiry information, so that the diagnostic personnel can clearly know how to complete the selection operation.

[0029] The first inquiry information is combined with the interface form and operation scene of the diagnostic device to be displayed to the diagnostic personnel in an intuitive and easy-to-interact manner. If the diagnostic device is a portable device with a touch screen, the inquiry information is usually presented in the form of a pop-up window or a semi-pop-up window in the central or upper area of the screen. The pop-up window background can be slightly distinguished from the main interface of the device to highlight the information level and avoid interference from other content. The pop-up window can first display a guiding title, such as "Please select the diagnostic operation path", and then sequentially display the core information of each path in the order of the reliability of the first function operation path list. Each path exists in the form of an independent option box or a clickable item, and the item clearly marks the path name, reliability value and key adaptation information. The option box can be provided with a single selection button or a check box to facilitate the diagnostic personnel to quickly mark and select. The bottom of the pop-up window can be provided with clear function buttons, such as "Confirm selection" and "Review again". The buttons are highlighted in color or bold style to ensure that the diagnostic personnel can quickly identify the operation entrance. If the diagnostic device supports voice interaction, the inquiry information can also be delivered to the diagnostic personnel in the form of voice broadcast. The voice content is concise and summarizes the key information of the selection requirements and the highly reliable path, which helps the diagnostic personnel to understand the selection content when it is inconvenient to view the screen. The overall display process takes into account the convenience of vision and operation, so as to ensure that the diagnostic personnel can quickly understand and complete the path selection.

[0030] S105: Determine the first target diagnostic device function operation path corresponding to the response information of the diagnostic personnel to the first inquiry information.

[0031] In this embodiment, the first target diagnostic device function operation path is used to guide the diagnostic personnel to use the target diagnostic device to perform diagnostic operation on the target vehicle according to the first target diagnostic device function operation path.

[0032] The system corresponding to the diagnostic equipment function operation path can monitor the interactive actions of the diagnostic personnel for the first inquiry information in real time, such as the diagnostic personnel clicking the option box corresponding to a path on the touch screen, selecting the path entry, or confirming a path through a voice instruction. These operations can be identified by the system as response information. The system can match the response information with the content in the first function operation path list, find the diagnostic equipment function operation path finally selected by the diagnostic personnel, and define it as the first target diagnostic equipment function operation path. After determining the target path, the system can provide continuous guidance to the diagnostic personnel around the path, such as gradually popping up operation prompts for the next step on the diagnostic equipment interface, automatically jumping to the function module page corresponding to the path, and marking matters needing attention at key operation nodes. If the diagnostic personnel deviates from the path process, the system can also give timely correction suggestions to ensure that the diagnostic personnel can strictly follow the steps of the first target diagnostic equipment function operation path and successfully use the target diagnostic equipment to complete the fault diagnosis operation on the target vehicle, improving the accuracy and efficiency of the diagnosis process.

[0033] It can be seen that, first, by obtaining the device data of the target diagnostic equipment, the vehicle fault scene data of the target vehicle, and the user portrait data of the diagnostic personnel in advance, the diagnostic path generated subsequently can fully adapt to the current state of the equipment, the specific fault of the vehicle, and the operation ability of the personnel, avoiding operation errors caused by incompatible equipment versions, mismatched paths and faults, or exceeding the skill range of the personnel, and greatly reducing the probability of interruption of the diagnosis process or inaccurate diagnosis results. Second, by generating k paths with reliability values and arranging them into a list for personnel selection, the diagnostic personnel's autonomous decision-making space is retained, and a clear reference is provided through the reliability ranking, especially for inexperienced diagnostic personnel, which can help them quickly lock in more likely successful diagnostic paths and reduce wasted time due to improper path selection. At the same time, based on the selected target path, whole-process guidance is provided, which allows the diagnostic personnel to not rely on memory or experience to sort out operation steps, especially when dealing with unfamiliar fault types or using new equipment. The diagnostic process can be steadily pushed forward through step-by-step prompts, improving operation efficiency. The overall process also takes into account the needs of diagnostic personnel of different levels, providing detailed guidance for novice diagnostic personnel and leaving a simplified operation space for experienced diagnostic personnel, ultimately achieving the goal of more efficient and accurate operation and more convenient diagnosis process, effectively improving the overall quality and efficiency of vehicle fault diagnosis.

[0034] Please refer to Figure 2 , Figure 2 is a flowchart provided by the embodiments of the present application for determining k diagnostic equipment function operation paths, including but not limited to the following steps: S201: inputting the device data, the vehicle fault scene data, and the user portrait data into a preset large model to obtain n diagnostic equipment function operation paths.

[0035] In the embodiment, n is an integer greater than or equal to k. The preset large model can be a path generation model of different types. The path generation model can be selected according to the data characteristics and the diagnostic scene requirements. Common types include a rule-based expert system model. The rule-based expert system model first sorts out the professional knowledge in the vehicle diagnostic field. The operation specifications of different equipment models, the diagnostic processes corresponding to different fault types, and the operation preferences of diagnostic personnel with different skill levels are converted into an explicit rule base. After receiving the equipment data, the vehicle fault scene data, and the user portrait data, the rule matching is used to filter out the paths that meet the equipment compatibility requirements, adapt to the current fault, and are consistent with the operation habits of the personnel.

[0036] The preset large model can also be a machine learning model, such as a model based on a decision tree or a random forest. Such a model first uses a large amount of historical diagnostic data for training, learns the association rules between the equipment data, the vehicle fault scene data, the user portrait data, and the effective diagnostic path, and generates multiple groups of candidate paths by traversing the trained decision tree or forest structure through the input of the three types of data in actual application.

[0037] The preset large model can also be a large language model or a multi-modal model. Such a model has strong semantic understanding and multi-data fusion capabilities, can deeply analyze the technical parameters in the equipment data, the fault logic in the vehicle fault scene data, and the operation preferences in the user portrait data, and can construct a diagnostic path that adapts to the current scene through generative inference.

[0038] When the equipment data, vehicle fault scene data, and user portrait data are input into the preset large model to obtain n diagnostic equipment function operation paths, a large model of a suitable type is selected according to the data characteristics and diagnostic scene requirements. If a rule-based expert system model is selected, the model calls a pre-arranged vehicle diagnostic field rule library, matches the input equipment data with the operation specifications of different equipment models in the rule library, matches the vehicle fault scene data with the diagnostic processes of different fault types, and matches the user portrait data with the operation preferences of personnel of different skill levels. Through multi-dimensional rule screening, n diagnostic equipment function operation paths that are compatible with the fault and conform to the habits are generated. If a machine learning model based on a decision tree or a random forest is selected, the model uses the association rules between the three types of data learned in the training stage and the effective diagnostic paths to perform traversal analysis on the input data, and outputs multiple groups of candidate paths that adapt to the current scene as the n diagnostic equipment function operation paths according to the tree structure or the integrated reasoning logic of multiple trees. If a large language model or a multi-modal model is selected, the model first deeply analyzes the technical parameter meanings in the equipment data, the fault occurrence logic in the vehicle fault scene data, and the operation preference characteristics in the user portrait data, and then constructs n diagnostic equipment function operation paths that conform to the data characteristics and adapt to the current diagnostic requirements through generative reasoning capability. In actual operation, other large models can also be selected, which are not limited herein.

[0039] S202: Determine a reliable degree value corresponding to each of the n diagnostic equipment function operation paths, to obtain n reliable degree values.

[0040] In this embodiment, the historical application data of each path can be referred to to statistically determine the proportion of the number of successful completions in the past to the total number of uses in the same type of equipment, the same type of vehicle fault scene, and the same type of skill level diagnostic personnel. This historical success rate is the core basis for evaluating the reliable degree. Secondly, the matching depth of each path with the current diagnostic scene can be analyzed, including whether the path is completely compatible with the firmware version and function module of the target diagnostic equipment, whether it accurately covers the key detection link of the current fault of the target vehicle, and whether it conforms to the operation habits and skill level of the diagnostic personnel. The higher the matching degree, the higher the basic score of the reliable degree value. At the same time, the integrity and safety of the path itself can also be considered, such as whether the path contains necessary safety confirmation steps, whether it covers possible abnormal situation handling processes, and whether the step logic is clear, non-redundant, or missing. Finally, the evaluation results of the historical success rate, scene matching degree, path integrity, and safety in different dimensions can be integrated into a specific numerical value by a preset weighting algorithm, which is the reliable degree value corresponding to each diagnostic equipment function operation path. After the evaluation process is completed for the n paths one by one, n reliable degree values corresponding to the path quantity are obtained.

[0041] S203: Determine the reliability degree value greater than the preset reliability degree value in the n reliability degree values, and obtain k reliability degree values.

[0042] In this embodiment, the reliability degree value of the preset reliability degree value is based on a large amount of vehicle diagnosis history data, processing requirements of different fault scenes, and operation specifications of diagnostic equipment, which can consider the basic demand for path reliability in the conventional diagnosis scene, and can also adjust the complexity of the target vehicle fault and the safety risk of the diagnosis operation.

[0043] The n reliability degree values are compared with the preset reliability degree value one by one, and it is judged whether each reliability degree value exceeds the preset standard. For the values greater than the preset reliability degree value, it is determined that the corresponding diagnosis path can meet the needs of the current diagnosis scene in reliability, and these qualified reliability degree values are extracted to obtain k reliability degree values.

[0044] S204: Determine the diagnosis equipment function operation path corresponding to each reliability degree value in the k reliability degree values, and obtain k diagnosis equipment function operation paths.

[0045] In this embodiment, since each diagnosis equipment function operation path corresponds to a reliability degree value, the diagnosis equipment function operation path corresponding to each reliability degree value in the k reliability degree values can be determined, and k diagnosis equipment function operation paths are obtained.

[0046] As can be seen, first, n paths are generated by processing three types of core data through the preset large model, which can cover more possibilities suitable for the current scene with the help of the professional analysis ability of the preset large model, avoid the single path selection or omission of better solutions due to the limitations of manual experience, then calculate the reliability degree value corresponding to each diagnosis equipment function operation path, which can convert the reliability of the diagnosis equipment function operation path from fuzzy judgment to quantitative index, make the comparison of different diagnosis equipment function operation paths more intuitive, help subsequent screening with clear evaluation basis, avoid the uncertainty caused by relying on subjective experience to select the path, then filter out k qualified values through the preset reliability degree value, which can quickly eliminate the diagnosis equipment function operation paths with insufficient reliability, reduce the selection cost of the diagnosis personnel on the low-quality diagnosis equipment function operation path, and the existence of the preset standard can also ensure that the finally retained diagnosis equipment function operation path meets the basic requirements in accuracy and safety, reduce the probability of diagnosis failure or operation risk caused by unreliable path, and finally determine k high-quality diagnosis equipment function operation paths through the correspondence between the reliability degree value and the diagnosis equipment function operation path, so as to accurately lock the diagnosis equipment function operation path which is suitable for the equipment vehicle and personnel demand and has high reliability.

[0047] Please refer to Figure 3 ,Figure 3 is a flowchart provided by an embodiment of the present application for determining n reliability values, including but not limited to the following steps: S301: Obtain historical diagnosis data of the target diagnosis device within a preset historical time period.

[0048] In the embodiment, the historical diagnosis data within the preset historical time period is various types of relevant information generated when the diagnosis task is actually performed in a specific time range in the past. These data can intuitively reflect the diagnosis performance of the target diagnosis device under different scenarios, and specifically include the vehicle brand and model that the target diagnosis device has diagnosed, the corresponding fault type, the functional operation path adopted for each diagnosis, whether the diagnosis process is successfully completed, whether the fault is finally solved, abnormal situations occurring in the diagnosis process and the processing results, etc. The historical diagnosis data of the target diagnosis device within the preset historical time period can be obtained by retrieving the local storage log or cloud backup record of the target diagnosis device.

[0049] S302: Determine the historical successful diagnosis rate of the first diagnosis device functional operation path based on the historical diagnosis data.

[0050] In the embodiment, the first diagnosis device functional operation path is any one of the n diagnosis device functional operation paths.

[0051] First, in the collected historical diagnosis data, the diagnosis device functional operation path used by each record is checked one by one, and diagnosis records that have adopted the first diagnosis device functional operation path are extracted. These records cover the application of the path under different vehicle fault scenarios and different diagnosis personnel operations. Then, the extracted records can be classified to distinguish successful diagnosis records and unsuccessful diagnosis records. The successful diagnosis records refer to records in which the vehicle fault is finally accurately identified through the first diagnosis device functional operation path, and the fault repair is completed according to the diagnosis result of the path. The unsuccessful diagnosis records include records in which the fault is misjudged due to path guidance deviation, the fault root is not found, or the diagnosis process is interrupted. Then, the total number of successful diagnosis records and the total number of first diagnosis device functional operation path related diagnosis records extracted are counted. Finally, the number of successful diagnosis records is divided by the total number of first diagnosis device functional operation path related diagnosis records, and the result obtained is the historical successful diagnosis rate corresponding to the first diagnosis device functional operation path.

[0052] S303: Determine the reliability value corresponding to the first diagnosis device functional operation path based on the historical successful diagnosis rate.

[0053] In the embodiment, after determining the reliability degree value corresponding to the first diagnostic device function operation path based on the historical success diagnosis rate, since the first diagnostic device function operation path is any one of the n diagnostic device function operation paths, the reliability degree value corresponding to each of the n diagnostic device function operation paths can be determined according to the determination manner of the reliability degree value corresponding to the first diagnostic device function operation path, and n reliability degree values are obtained.

[0054] It can be seen that, first, by obtaining the historical diagnosis data of the target diagnostic device in a preset historical time period, the real diagnosis records of the device in the past can be directly used as the evaluation basis, ensuring that the evaluation basis is real and reliable, then the historical success diagnosis rate of each path is determined based on the historical data, which can intuitively reflect the effectiveness of the path in actual application, and a high success diagnosis rate indicates that the path performs more stably and is more likely to achieve the diagnosis target in the past similar scenarios, providing a quantifiable core reference index for the reliability degree value, and finally the reliability degree value is determined based on the historical success diagnosis rate, which can convert the reliability of the path from a fuzzy judgment to a specific numerical value, making the reliability degree of different paths more clear, and at the same time, this evaluation method based on historical data of the device can make the reliability degree value more suitable for the actual performance and use environment of the diagnostic device, avoiding the mismatching problem caused by the general standard, and the n reliability degree values obtained are more accurate to reflect the real reliability degree of each path in the current diagnosis scenario.

[0055] Please refer to Figure 4 , Figure 4 is a flowchart provided by the embodiment of the present application for determining the reliability degree value corresponding to the first diagnostic device function operation path, including but not limited to the following steps: S401: Obtain the mapping relationship between the historical success diagnosis rate and the reference reliability degree value.

[0056] In the embodiment, the mapping relationship between the historical success diagnosis rate and the reference reliability degree value determines the reference reliability degree value corresponding to the historical success diagnosis rate in different ranges. The range of the reference reliability degree value can be 1 to 10 or 1 to 100, which is not limited herein. For example, the historical success diagnosis rate of 90% or above corresponds to the reference reliability degree value of 95, the historical success diagnosis rate of 80% to 89% corresponds to the reference reliability degree value of 85, and so on.

[0057] S402: Determine the reference reliability degree value corresponding to the historical success diagnosis rate based on the mapping relationship.

[0058] In the embodiment, after obtaining the historical success diagnosis rate of the first diagnosis device function operation path, the historical success diagnosis rate is compared with the mapping relationship between the acquired historical success diagnosis rate and the reference reliability value, a numerical range in which the historical success diagnosis rate is located is found, and a specific reference reliability value corresponding to the range is extracted. For example, if the historical success diagnosis rate of a diagnosis device function operation path is 88%, and the mapping relationship shows that the reference reliability value corresponding to 80% to 89% is 85, then 85 is determined as the reference reliability value of the diagnosis device function operation path.

[0059] S403: Obtain a feedback praise rate of the first diagnosis device function operation path in the preset historical time period.

[0060] In the embodiment, the feedback praise rate of the first diagnosis device function operation path in the preset historical time period is evaluation data of the first diagnosis device function operation path from personnel who have used the path for diagnosis in the preset historical time. The proportion of the number of positive evaluations (such as considering that the path steps are clear, the operation is convenient, and the fault can be efficiently solved) in the total evaluation number is calculated, and the proportion is the feedback praise rate. The feedback praise rate can reflect the actual practicability of the first diagnosis device function operation path from the perspective of user experience, and therefore the feedback praise rate of the first diagnosis device function operation path in the preset historical time period needs to be obtained.

[0061] S404: Determine an adjustment parameter corresponding to the feedback praise rate.

[0062] In the embodiment, the mapping relationship between the preset feedback praise rate and the adjustment parameter can be determined based on the mapping relationship.

[0063] S405: Adjust the reference reliability value based on the adjustment parameter to obtain a reliability value corresponding to the first diagnosis device function operation path.

[0064] In the embodiment, the reliability value corresponding to the first diagnosis device function operation path is calculated according to the following formula: The reliability value corresponding to the first diagnosis device function operation path = the reference reliability value x (1 + the adjustment parameter). According to the above formula, the reference reliability value can be adjusted based on the adjustment parameter to obtain the reliability value corresponding to the first diagnosis device function operation path.

[0065] It can be seen that, first, by obtaining the mapping relationship between the historical success diagnosis rate and the reference reliability value and determining the reference value, the actual diagnosis effect of the past operation path of the diagnostic equipment function can be taken as the core basis, the calculation of the reliability value can be based on standardized corresponding rules, the deviation caused by subjective judgment can be avoided, the value can have basic objectivity and accuracy, then the feedback rate is introduced and the corresponding adjustment parameter is determined, the actual experience of the diagnostic personnel after using the path can be included in the evaluation, such as whether the steps of the diagnostic equipment function operation path are clear, whether the operation is convenient and other user experience factors, the use experience dimension that may be ignored by relying only on the historical success diagnosis rate is made up, finally the reference reliability value is optimized by the adjustment parameter, the objective historical diagnosis effect and the subjective user experience feedback are combined, the reliability value obtained finally covers the core value dimension of the diagnostic equipment function operation path more comprehensively, which meets the effectiveness requirements of actual diagnosis and meets the operation needs of the diagnostic personnel.

[0066] Please refer to Figure 5 , Figure 5 is a flowchart provided by the embodiment of the application for determining diagnosis timeout prompt information, including but not limited to the following steps: S501: When guiding the diagnostic personnel to use the target diagnostic equipment to perform diagnostic operation on the target vehicle based on the first target diagnostic equipment function operation path, determining the diagnosis time length of the current function operation performed by the diagnostic personnel.

[0067] In the embodiment, the current function operation is any one function operation included in the first target diagnostic equipment function operation path.

[0068] When the diagnostic personnel performs the diagnostic operation according to the selected first target path, the time length of the operation can be automatically recorded from the moment when the diagnostic personnel starts to perform the operation, so as to determine the diagnosis time length of the current function operation performed by the diagnostic personnel.

[0069] S502: Obtaining the diagnosis time length threshold required by the current function operation.

[0070] In the embodiment, the diagnosis time length threshold required by the current function operation is the basis for judging whether the current function operation is timed out, and the diagnosis time length threshold is formulated based on the average completion time of the function operation under a large number of similar diagnosis scenes, the complexity of the operation, the response speed of the equipment and the conventional operation efficiency of the diagnostic personnel and other factors, and different function operations correspond to different time length thresholds.

[0071] S503: When the diagnosis time length is greater than the diagnosis time length threshold, generating diagnosis timeout prompt information based on the diagnosis time length.

[0072] In this embodiment, the diagnostic timeout prompt message is used to notify the diagnostic personnel that the current diagnostic operation has timed out.

[0073] You can first compare the diagnostic time consumed by the current function operation with the corresponding diagnostic time threshold. Once it is found that the diagnostic time exceeds the diagnostic time threshold, a targeted prompt will be generated based on the length of time exceeded. The message will clearly indicate the name of the function operation currently in progress and the difference between the actual time consumed and the threshold, so that the diagnostic personnel can clearly understand the specific situation and operation steps of the timeout.

[0074] The notification method for diagnostic timeout messages is designed based on the usage scenario and ease of operation of the diagnostic equipment. It mainly includes two forms: visual and auditory prompts. Visual prompts usually appear as a prominent prompt window popping up on the operating interface of the diagnostic equipment. The background of the window may use warning colors such as yellow or orange, and the text is in bold black or red to enhance visibility. Some devices will also display a scrolling prompt bar at the top or bottom of the interface to ensure that the diagnostic personnel can notice it even if they are focused on the operation. Auditory prompts are generally emitted by the built-in speaker of the device. The frequency and volume of the prompt sound are controlled within a range that will not interfere with the communication of the diagnostic personnel but can effectively attract their attention. Some diagnostic equipment can also support the simultaneous triggering of visual and auditory prompts to further improve the effectiveness of the prompts and help the diagnostic personnel to promptly detect the timeout status and take countermeasures such as checking the device connection or adjusting the operation procedure.

[0075] It needs to be explained that after the diagnostic personnel complete the current function operation according to the first target diagnostic device's function operation path, they also need to switch to the execution entry point of the subsequent function operation adjacent to the current operation in the first target diagnostic device's function operation path. After the diagnostic personnel trigger this entry point, they are then guided to use the target diagnostic device to perform the next function operation on the target vehicle. This ensures that the diagnostic operation proceeds in an orderly manner according to the path steps. For example, when the diagnostic personnel complete the current function operation, an execution entry point for switching to the next function operation is generated. The next function operation is the function operation in the first target diagnostic device's function operation path that is located after the current function operation and adjacent to the current function operation. Specifically, the completion of the current function operation is determined by the diagnostic device's operation records (such as the diagnostic personnel clicking the "Complete" button, the diagnostic device detecting that the data required for the current operation has been collected, etc.). Once completion is confirmed, an execution entry point for switching to the next operation is immediately generated on the device interface. This entry point may be a clear button (such as "Proceed to the next step") or a clickable option.

[0076] For example, when the diagnostic personnel trigger the execution entry point, they are guided to use the target diagnostic device to perform the next functional operation on the target vehicle. Specifically, after the diagnostic personnel make a triggering action (such as clicking the "Proceed to Next Step" button on the interface), the system will not directly jump to the next operation after detecting the trigger signal. Instead, it will first provide clear guidance to the diagnostic personnel, such as displaying specific steps for the next functional operation on the device interface (e.g., "Please select the 'Fault Code Reading' function in the device menu") and operation key points prompts to help the diagnostic personnel quickly understand how to operate. At the same time, the system will automatically adjust the interface state of the diagnostic device according to the needs of the next functional operation (e.g., jump to the corresponding functional module page, activate the relevant detection functions of the device) to ensure that the diagnostic personnel can use the target diagnostic device smoothly under guidance and perform the next functional operation on the target vehicle step by step. Once the diagnostician completes the current operation, an execution entry point for switching to the next operation is generated. This clearly marks the end of the current step and the beginning of the next step, preventing diagnosticians from missing steps or confusing the order of operations in complex processes. This is especially helpful for those unfamiliar with the process, providing clear guidance for subsequent steps. At the same time, the next functional operation is limited to the adjacent subsequent steps of the current operation in the path, ensuring that the diagnostic process strictly follows the logic of the optimal path and does not skip steps or deviate from the core process. The next operation is only guided after the diagnostician actively triggers the execution entry point. This respects the diagnostician's operating rhythm and helps them quickly grasp the key points of the next operation through guidance content, reducing errors caused by unfamiliarity with the steps.

[0077] As can be seen, firstly, by determining the diagnostic duration of the current function operation in real time while guiding the diagnostic personnel to operate according to the target diagnostic equipment's functional operation path, the system can accurately grasp the progress of each operation, avoiding delays in the overall diagnostic process caused by the diagnostic personnel focusing on the operation and ignoring the passage of time. Secondly, by obtaining the diagnostic duration threshold corresponding to the current function operation, a clear time standard is provided for judging whether the operation is normal. This threshold is based on the complexity of the operation and the usual efficiency, ensuring that the judgment is based on scientific and reasonable criteria. Finally, when the diagnostic duration exceeds the threshold, a timeout prompt message is generated, which can promptly remind the diagnostic personnel that there is an anomaly in the current operation, helping them to quickly detect potential problems, such as equipment connection failures or deviations in operation steps, avoiding wasting time due to prolonged ineffective operations. At the same time, it can also prevent the operation timeout from affecting the connection of subsequent diagnostic steps, ensuring that the overall diagnostic process proceeds as planned and improving diagnostic efficiency.

[0078] Please see Figure 6 , Figure 6 This is a flowchart of a method for determining the functional operation path of a second target diagnostic device, provided by an embodiment of this application, including but not limited to the following steps: S601: Generate a second functional operation path list based on a diagnostic device functional operation paths other than the first target diagnostic device functional operation path and a reliability values ​​corresponding to the a diagnostic device functional operation paths.

[0079] In this embodiment, when guiding the diagnostic personnel to use the target diagnostic equipment to perform diagnostic operations on the target vehicle according to the first target diagnostic equipment functional operation path, if feedback information of auxiliary tool mismatch is received from the diagnostic personnel, a second functional operation path list is generated based on a diagnostic equipment functional operation paths other than the first target diagnostic equipment functional operation path and a reliability values ​​corresponding to the a diagnostic equipment functional operation paths. Each of the a diagnostic equipment functional operation paths can overcome the auxiliary tool mismatch, where a is a positive integer less than or equal to k-1.

[0080] During the process of guiding diagnostic personnel to perform diagnostic operations on the target vehicle using the target diagnostic equipment according to the previously determined first target diagnostic equipment functional operation path, if the diagnostic personnel receive feedback that the auxiliary tools are incompatible (such as the special connectors or detection software plug-ins required for diagnosis being incompatible with the current equipment or vehicle), the first target diagnostic equipment functional operation path that is already in use will be excluded from the initially determined k diagnostic equipment functional operation paths, and the remaining a diagnostic equipment functional operation paths will be selected. The common feature of these a paths is that they can all solve the problem of incompatibility of the current auxiliary tools. At the same time, a reliability values ​​corresponding to each of these a paths will be extracted, and then these paths and their corresponding reliability values ​​will be used to generate a list of second functional operation paths.

[0081] S602: Generate a second query message based on the second function operation path list.

[0082] In this embodiment, the second query information is used by the diagnostic personnel to select the desired diagnostic device function operation path from the k-1 diagnostic device function operation paths. The second query information provides the diagnostic personnel with a new selection range, allowing them to choose the desired diagnostic device function operation path from the k-1 path range remaining after excluding the first target diagnostic device function operation path from the initial k paths. This can provide the diagnostic personnel with a new selection basis that is suitable for the current tool conditions when auxiliary tools encounter incompatibility issues.

[0083] S603: Determine the diagnostic device function operation path in the response information of the diagnostic personnel to the second inquiry information, and obtain the second target diagnostic device function operation path.

[0084] In this embodiment, the second target diagnostic device function operation path is used to guide the diagnostic personnel to use the target diagnostic device to perform diagnostic operations on the target vehicle.

[0085] Once the diagnostic personnel respond to the second inquiry (e.g., by clicking to select a path), the corresponding diagnostic equipment function operation path in the response can be identified and determined, resulting in the second target diagnostic equipment function operation path. This second target diagnostic equipment function operation path will replace the previous first target path, guiding the diagnostic personnel to continue using the target diagnostic equipment to perform diagnostic operations on the target vehicle. This ensures that the diagnostic process can proceed smoothly provided that the problem of mismatch between auxiliary tools is resolved, thereby improving the diagnostic efficiency of the target vehicle.

[0086] In summary, implementing the embodiments of the present invention has the following beneficial effects: As can be seen, the diagnostic equipment function operation path determination method described in this embodiment of the invention first acquires the equipment data of the target diagnostic equipment, the vehicle fault scenario data of the target vehicle, and the user profile data of the diagnostic personnel. Then, based on the equipment data, the vehicle fault scenario data, and the user profile data, it determines k diagnostic equipment function operation paths and k reliability values ​​corresponding to the k diagnostic equipment function operation paths, where k is a positive integer, and each diagnostic equipment function operation path corresponds to a reliability value. The larger the reliability value, the more reliable the corresponding diagnostic equipment function operation path. Then, it generates a first function operation path list based on the k diagnostic equipment function operation paths and the k reliability values. Next, it generates a first query message based on the first function operation path list. The first query message is used by the diagnostic personnel to select the diagnostic equipment function operation path they want to use from the k diagnostic equipment function operation paths. Finally, it determines the first target diagnostic equipment function operation path corresponding to the diagnostic personnel's response to the first query message, so as to guide the diagnostic personnel to use the target diagnostic equipment to perform diagnostic operations on the target vehicle according to the first target diagnostic equipment function operation path. By adopting the embodiment of this application, the efficiency of vehicle fault diagnosis is improved.

[0087] Please see Figure 7 , Figure 7 This is a schematic diagram of the structure of a diagnostic device function operation path determination device provided in an embodiment of this application. The diagnostic device function operation path 700 includes: an acquisition unit 701 and a processing unit 702. The acquisition unit 701 is used to acquire the equipment data of the target diagnostic equipment, the vehicle fault scenario data of the target vehicle, and the user profile data of the diagnostic personnel. The processing unit 702 is used to determine k diagnostic device function operation paths and k reliability values ​​corresponding to the k diagnostic device function operation paths based on the device data, the vehicle fault scenario data and the user profile data; k is a positive integer, each diagnostic device function operation path corresponds to a reliability value, and the larger the reliability value, the more reliable the corresponding diagnostic device function operation path is. A first functional operation path list is generated based on the k diagnostic device functional operation paths and the k reliability values; A first inquiry message is generated based on the first functional operation path list; the first inquiry message is used by the diagnostic personnel to select the desired diagnostic device functional operation path from the k diagnostic device functional operation paths. The first target diagnostic device function operation path corresponding to the diagnostic personnel's response to the first inquiry information is determined, so as to guide the diagnostic personnel to use the target diagnostic device to perform diagnostic operations on the target vehicle according to the first target diagnostic device function operation path.

[0088] In some possible implementations, in determining k diagnostic device function operation paths and k reliability values ​​corresponding to the k diagnostic device function operation paths based on the device data, the vehicle fault scenario data, and the user profile data, the processing unit 702 is specifically used for: The device data, vehicle fault scenario data, and user profile data are input into a preset large model to obtain n diagnostic device function operation paths; n is an integer greater than or equal to k. Determine the reliability value corresponding to each of the n diagnostic equipment function operation paths to obtain n reliability values; Determine the reliability values ​​that are greater than the preset reliability value from the n reliability values ​​to obtain k reliability values; Determine the diagnostic device function operation path corresponding to each of the k reliability values ​​to obtain the k diagnostic device function operation paths.

[0089] In some possible implementations, in determining the reliability value corresponding to each of the n diagnostic device function operation paths to obtain n reliability values, the processing unit 702 is specifically used for: Acquire historical diagnostic data of the target diagnostic device within a preset historical time period; The historical success rate of diagnosis is determined based on the historical diagnostic data for the first diagnostic device's functional operation path; the first diagnostic device's functional operation path is any one of the n diagnostic device functional operation paths. The reliability value corresponding to the functional operation path of the first diagnostic device is determined based on the historical successful diagnosis rate.

[0090] In some possible implementations, in determining the reliability value corresponding to the functional operation path of the first diagnostic device based on the historical successful diagnostic rate, the processing unit 702 is specifically used for: Obtain the mapping relationship between historical successful diagnosis rates and reference reliability values; Based on the mapping relationship, a reference reliability value corresponding to the historical successful diagnosis rate is determined; Obtain the positive feedback rate of the first diagnostic device's functional operation path within the preset historical time period; Determine the adjustment parameters corresponding to the positive feedback rate; Based on the adjustment parameters, the reference reliability value is adjusted to obtain the reliability value corresponding to the functional operation path of the first diagnostic device.

[0091] In some possible implementations, the processing unit 702 is further specifically used for: When the diagnostic personnel are guided to use the target diagnostic equipment to perform diagnostic operations on the target vehicle based on the first target diagnostic equipment function operation path, the diagnostic time for the diagnostic personnel to perform the current function operation is determined; the current function operation is any function operation included in the first target diagnostic equipment function operation path; Obtain the diagnostic time threshold required for the current function operation; When the diagnosis time exceeds the diagnosis time threshold, a diagnosis timeout prompt message is generated based on the diagnosis time; the diagnosis timeout prompt message is used to indicate to the diagnostic personnel that the current diagnostic operation is in a timeout state.

[0092] In some possible implementations, the processing unit 702 is further specifically used for: When the diagnostic personnel complete the current function operation, an execution entry point for switching to the next function operation is generated; the next function operation is a function operation in the function operation path of the first target diagnostic device that is located after the current function operation and adjacent to the current function operation; When the diagnostic personnel trigger the execution entry point, they are guided to use the target diagnostic equipment to perform the next functional operation on the target vehicle.

[0093] In some possible implementations, the processing unit 702 is further specifically used for: When guiding the diagnostic personnel to use the target diagnostic equipment to perform diagnostic operations on the target vehicle according to the first target diagnostic equipment functional operation path, if feedback information of auxiliary tool mismatch is received from the diagnostic personnel, a second functional operation path list is generated based on a diagnostic equipment functional operation paths other than the first target diagnostic equipment functional operation path and a reliability values ​​corresponding to the a diagnostic equipment functional operation paths; each of the a diagnostic equipment functional operation paths can overcome the auxiliary tool mismatch, where a is a positive integer less than or equal to k-1; A second query message is generated based on the second function operation path list; the second query message is used by the diagnostic personnel to select the desired diagnostic device function operation path from the k-1 diagnostic device function operation paths. The diagnostic device function operation path in the response information of the diagnostic personnel to the second inquiry information is determined to obtain the second target diagnostic device function operation path; the second target diagnostic device function operation path is used to guide the diagnostic personnel to use the target diagnostic device to perform diagnostic operations on the target vehicle.

[0094] Please see Figure 8 , Figure 8 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. For example... Figure 8 As shown, the electronic device 800 includes a transceiver 801, a processor 802, and a memory 803. These are connected via a bus 804. The memory 803 stores computer programs and data, and the transceiver 801 can transmit data stored in the memory 803 to the processor 802. The program includes instructions for performing the following steps: Acquire equipment data of the target diagnostic equipment, vehicle fault scenario data of the target vehicle, and user profile data of the diagnostic personnel; Based on the device data, the vehicle fault scenario data, and the user profile data, k diagnostic device function operation paths and k reliability values ​​corresponding to the k diagnostic device function operation paths are determined; k is a positive integer, and each diagnostic device function operation path corresponds to a reliability value. The larger the reliability value, the more reliable the corresponding diagnostic device function operation path. A first functional operation path list is generated based on the k diagnostic device functional operation paths and the k reliability values; A first inquiry message is generated based on the first functional operation path list; the first inquiry message is used by the diagnostic personnel to select the desired diagnostic device functional operation path from the k diagnostic device functional operation paths. The first target diagnostic device function operation path corresponding to the diagnostic personnel's response to the first inquiry information is determined, so as to guide the diagnostic personnel to use the target diagnostic device to perform diagnostic operations on the target vehicle according to the first target diagnostic device function operation path.

[0095] In some possible implementations, regarding the determination of k diagnostic device function operation paths and k reliability values ​​corresponding to the k diagnostic device function operation paths based on the device data, the vehicle fault scenario data, and the user profile data, the above procedure includes instructions for performing the following steps: The device data, vehicle fault scenario data, and user profile data are input into a preset large model to obtain n diagnostic device function operation paths; n is an integer greater than or equal to k. Determine the reliability value corresponding to each of the n diagnostic equipment function operation paths to obtain n reliability values; Determine the reliability values ​​that are greater than the preset reliability value from the n reliability values ​​to obtain k reliability values; Determine the diagnostic device function operation path corresponding to each of the k reliability values ​​to obtain the k diagnostic device function operation paths.

[0096] In some possible implementations, the above procedure includes instructions for performing the following steps in order to determine the reliability value corresponding to each of the n diagnostic device function operation paths and obtain n reliability values: Acquire historical diagnostic data of the target diagnostic device within a preset historical time period; The historical success rate of diagnosis is determined based on the historical diagnostic data for the first diagnostic device's functional operation path; the first diagnostic device's functional operation path is any one of the n diagnostic device functional operation paths. The reliability value corresponding to the functional operation path of the first diagnostic device is determined based on the historical successful diagnosis rate.

[0097] In some possible implementations, the above procedure includes instructions for performing the following steps in determining the reliability value corresponding to the functional operation path of the first diagnostic device based on the historical successful diagnostic rate: Obtain the mapping relationship between historical successful diagnosis rates and reference reliability values; Based on the mapping relationship, a reference reliability value corresponding to the historical successful diagnosis rate is determined; Obtain the positive feedback rate of the first diagnostic device's functional operation path within the preset historical time period; Determine the adjustment parameters corresponding to the positive feedback rate; Based on the adjustment parameters, the reference reliability value is adjusted to obtain the reliability value corresponding to the functional operation path of the first diagnostic device.

[0098] In some possible implementations, the above procedure includes instructions for performing the following steps: When the diagnostic personnel are guided to use the target diagnostic equipment to perform diagnostic operations on the target vehicle based on the first target diagnostic equipment function operation path, the diagnostic time for the diagnostic personnel to perform the current function operation is determined; the current function operation is any function operation included in the first target diagnostic equipment function operation path; Obtain the diagnostic time threshold required for the current function operation; When the diagnosis time exceeds the diagnosis time threshold, a diagnosis timeout prompt message is generated based on the diagnosis time; the diagnosis timeout prompt message is used to indicate to the diagnostic personnel that the current diagnostic operation is in a timeout state.

[0099] In some possible implementations, the above procedure includes instructions for performing the following steps: When the diagnostic personnel complete the current function operation, an execution entry point for switching to the next function operation is generated; the next function operation is a function operation in the function operation path of the first target diagnostic device that is located after the current function operation and adjacent to the current function operation; When the diagnostic personnel trigger the execution entry point, they are guided to use the target diagnostic equipment to perform the next functional operation on the target vehicle.

[0100] In some possible implementations, the above procedure includes instructions for performing the following steps: When guiding the diagnostic personnel to use the target diagnostic equipment to perform diagnostic operations on the target vehicle according to the first target diagnostic equipment functional operation path, if feedback information of auxiliary tool mismatch is received from the diagnostic personnel, a second functional operation path list is generated based on a diagnostic equipment functional operation paths other than the first target diagnostic equipment functional operation path and a reliability values ​​corresponding to the a diagnostic equipment functional operation paths; each of the a diagnostic equipment functional operation paths can overcome the auxiliary tool mismatch, where a is a positive integer less than or equal to k-1; A second query message is generated based on the second function operation path list; the second query message is used by the diagnostic personnel to select the desired diagnostic device function operation path from the k-1 diagnostic device function operation paths. The diagnostic device function operation path in the response information of the diagnostic personnel to the second inquiry information is determined to obtain the second target diagnostic device function operation path; the second target diagnostic device function operation path is used to guide the diagnostic personnel to use the target diagnostic device to perform diagnostic operations on the target vehicle.

[0101] It should be understood that the electronic devices mentioned in this application may include smartphones (such as Android phones, iOS phones, Windows Phones, etc.), tablets, PDAs, laptops, mobile internet devices (MIDs) or wearable devices, servers, edge computing nodes, etc. The above-mentioned electronic devices are merely examples and not exhaustive, and include, but are not limited to, the electronic devices described above.

[0102] This application also provides a computer-readable storage medium storing a computer program that is executed by a processor to implement some or all of the steps of any of the methods described in the above method embodiments.

[0103] This application also provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods described in the above method embodiments.

[0104] It should be noted that, for the sake of simplicity, the aforementioned methods are described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are optional, and the actions and modules involved are not necessarily essential to this application.

[0105] In the above embodiments, the descriptions of each embodiment have their own emphasis. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0106] In the several embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical or other forms.

[0107] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0108] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software program module.

[0109] If the integrated unit is implemented as a software program module and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0110] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage device, which may include: flash drive, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0111] The embodiments of this application have been described in detail above. Specific examples have been used in this document to illustrate the principles and implementation methods of this application. The description of the embodiments above is only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A diagnostic device functional operation path determination method characterized by, The method comprises: obtaining device data of a target diagnostic device, vehicle fault scene data of a target vehicle, and user portrait data of a diagnostic personnel; determining k diagnostic device function operation paths and k reliability values corresponding to the k diagnostic device function operation paths based on the device data, the vehicle fault scene data, and the user portrait data; k is a positive integer, each diagnostic device function operation path corresponds to a reliability value, and the larger the reliability value, the more reliable the corresponding diagnostic device function operation path; generating a first function operation path list based on the k diagnostic device function operation paths and the k reliability values; generating first inquiry information based on the first function operation path list; the first inquiry information is used for the diagnostic personnel to select a diagnostic device function operation path that the diagnostic personnel wants to use from the k diagnostic device function operation paths; determining a first target diagnostic device function operation path corresponding to response information of the diagnostic personnel to the first inquiry information, so as to guide the diagnostic personnel to use the target diagnostic device to perform diagnostic operation on the target vehicle according to the first target diagnostic device function operation path.

2. The method of claim 1, wherein, The determination of the k diagnostic device function operation paths and the k reliability values corresponding to the k diagnostic device function operation paths based on the device data, the vehicle fault scene data, and the user portrait data comprises: inputting the device data, the vehicle fault scene data, and the user portrait data into a preset large model to obtain n diagnostic device function operation paths; n is an integer greater than or equal to k; determining a reliability value corresponding to each diagnostic device function operation path in the n diagnostic device function operation paths to obtain n reliability values; determining a reliability value greater than a preset reliability value in the n reliability values to obtain k reliability values; determining a diagnostic device function operation path corresponding to each reliability value in the k reliability values to obtain k diagnostic device function operation paths.

3. The method of claim 2, wherein, The determination of a reliability value corresponding to each diagnostic device function operation path in the n diagnostic device function operation paths to obtain n reliability values comprises: obtaining historical diagnostic data of the target diagnostic device in a preset historical time period; determining a historical success diagnosis rate corresponding to a first diagnostic device function operation path based on the historical diagnostic data; the first diagnostic device function operation path is any diagnostic device function operation path in the n diagnostic device function operation paths; determining a reliability value corresponding to the first diagnostic device function operation path based on the historical success diagnosis rate.

4. The method of claim 3, wherein, The determination of a reliability value corresponding to the first diagnostic device function operation path based on the historical success diagnosis rate comprises: obtaining a mapping relationship between a historical success diagnosis rate and a reference reliability value; determining a reference reliability value corresponding to the historical success diagnosis rate based on the mapping relationship; obtaining a feedback praise rate of the first diagnostic device function operation path in the preset historical time period; determining an adjustment parameter corresponding to the feedback praise rate; adjust the reference reliability degree value based on the adjustment parameter to obtain a reliability degree value corresponding to the first diagnostic device function operation path.

5. The method of claim 4, wherein, The method further includes: when the diagnostic personnel is guided to perform diagnostic operation on the target vehicle using the target diagnostic device based on the first target diagnostic device function operation path, determining a diagnostic duration of a current function operation performed by the diagnostic personnel; the current function operation is any one function operation included in the first target diagnostic device function operation path; obtaining a diagnostic duration threshold value required for the current function operation; when the diagnostic duration is greater than the diagnostic duration threshold value, generating diagnostic timeout prompt information based on the diagnostic duration; the diagnostic timeout prompt information is used to prompt the diagnostic personnel that the current diagnostic operation is in a timeout state.

6. The method of claim 5, wherein, The method further includes: when the diagnostic personnel completes the current function operation, generating an execution entry for switching to a next function operation; the next function operation is a function operation adjacent to the current function operation and located after the current function operation in the first target diagnostic device function operation path; when the diagnostic personnel triggers the execution entry, guiding the diagnostic personnel to perform the next function operation on the target vehicle using the target diagnostic device.

7. The method of claim 1, wherein, The method further includes: when guiding the diagnostic personnel to perform diagnostic operation on the target vehicle using the target diagnostic device according to the first target diagnostic device function operation path, if feedback information of auxiliary tool mismatch is received from the diagnostic personnel, generating a second function operation path list based on a plurality of diagnostic device function operation paths other than the first target diagnostic device function operation path among the k diagnostic device function operation paths and a plurality of reliability degree values corresponding to the plurality of diagnostic device function operation paths; each of the plurality of diagnostic device function operation paths can overcome the auxiliary tool mismatch, and a is a positive integer less than or equal to k-1; generating second inquiry information based on the second function operation path list; the second inquiry information is used for the diagnostic personnel to select a diagnostic device function operation path to be used among the k-1 diagnostic device function operation paths; determining a diagnostic device function operation path in response information of the diagnostic personnel to the second inquiry information to obtain a second target diagnostic device function operation path; the second target diagnostic device function operation path is used to guide the diagnostic personnel to perform diagnostic operation on the target vehicle using the target diagnostic device.

8. A diagnostic device functional operation path determination apparatus characterized by comprising: The device includes an acquisition unit and a processing unit. The acquisition unit is configured to acquire device data of a target diagnostic device, vehicle fault scene data of a target vehicle, and user portrait data of a diagnostic personnel. The processing unit is configured to determine k diagnostic device functional operation paths and k reliability degree values corresponding to the k diagnostic device functional operation paths based on the device data, the vehicle fault scene data, and the user portrait data; k is a positive integer, each diagnostic device functional operation path corresponds to one reliability degree value, and the larger the reliability degree value is, the more reliable the corresponding diagnostic device functional operation path is. generating a first functional operation path list based on the k diagnostic device functional operation paths and the k reliability degree values; generating first inquiry information based on the first functional operation path list; the first inquiry information is used for the diagnostic personnel to select a diagnostic device functional operation path that the diagnostic personnel wants to use from the k diagnostic device functional operation paths; determining a first target diagnostic device functional operation path corresponding to response information of the diagnostic personnel to the first inquiry information, so as to guide the diagnostic personnel to use the target diagnostic device to perform diagnostic operation on the target vehicle according to the first target diagnostic device functional operation path.

9. An electronic device, comprising: The computer readable storage medium stores a computer program, and the computer program is executed by the processor to implement the method according to any one of claims 1-7.

10. A computer readable storage medium characterized by, The computer readable storage medium stores a computer program, and the computer program is executed by the processor to implement the method according to any one of claims 1-7.

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