Diagnostic device functional operation path determination method and related apparatus

Abstract

The application discloses a kind of diagnostic equipment function operation path determination method and related device, method includes: first, the equipment data of target diagnostic equipment, vehicle fault scene data of target vehicle and user portrait data of diagnostic personnel are acquired, then based on equipment data, vehicle fault scene data and user portrait data determine k diagnostic equipment function operation path and k reliable degree value, then based on k diagnostic equipment function operation path and k reliable degree value generates first function operation path list, then based on first function operation path list generates first inquiry information, finally determine the first target diagnostic equipment function operation path that diagnostic personnel is to the response information of first inquiry information corresponds, to guide diagnostic personnel to use target diagnostic equipment according to first target diagnostic equipment function operation path to target vehicle is diagnosed operation.Using the embodiment of the application, the fault diagnosis efficiency of vehicle is improved.

Description

Technical Field

[0001] This invention relates to the field of vehicle diagnostic technology, and in particular to a method and related apparatus for determining the functional operation path of a diagnostic device. Background Technology

[0002] In the field of vehicle fault diagnosis, diagnostic equipment is the core tool for repair personnel to troubleshoot vehicle faults, covering multiple aspects such as fault code reading, data stream analysis, component testing, and diagnostic report generation. With the increasing variety of vehicle brands, models, and configurations, the types of faults corresponding to different vehicles are becoming increasingly complex. Furthermore, the firmware versions and software functions of diagnostic equipment are constantly iterating, leading to more layers in the user interface and a greater complexity of function options. Currently, when using diagnostic equipment, repair personnel often need to rely on personal experience to find the appropriate operating steps from numerous function menus for the current vehicle fault. Novice repair personnel, due to insufficient familiarity with equipment functions and fault scenarios, are prone to making mistakes in selecting operating paths and missing key testing steps. This not only prolongs fault diagnosis time but may also lead to inaccurate diagnostic data or equipment malfunction due to improper operation. Therefore, improving the efficiency of vehicle fault diagnosis is an urgent problem to be solved. Summary of the Invention

[0003] This application provides a method and related apparatus for determining the functional operation path of a diagnostic device, which improves the efficiency of vehicle fault diagnosis.

[0004] In a first aspect, embodiments of this application provide a method for determining the functional operation path of a diagnostic device, including: 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.

[0005] Secondly, embodiments of this application provide a diagnostic device function operation path determination apparatus, the apparatus comprising: an acquisition unit and a processing unit; The acquisition unit is used to acquire equipment data of the target diagnostic equipment, vehicle fault scenario data of the target vehicle, and user profile data of the diagnostic personnel. The processing unit 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; 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.

[0006] Thirdly, embodiments of the present invention provide an electronic device, including: 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 cause the electronic device to perform the method as described in the first aspect.

[0007] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing a computer program that is executed by a processor to implement the method as described in the first aspect.

[0008] Fifthly, embodiments of the present invention provide a computer program product including a non-transitory computer-readable storage medium storing a computer program, such that a computer performs the method as described in the first aspect.

[0009] 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. Attached Figure Description

[0010] To more clearly illustrate the technical solutions in the embodiments of this application or the background art, the accompanying drawings used in the embodiments of this application or the background art will be described below.

[0011] Figure 1 This is a flowchart of a method for determining the functional operation path of a diagnostic device according to an embodiment of this application; Figure 2 This is a flowchart of determining the functional operation path of k diagnostic devices according to an embodiment of this application; Figure 3 This is a flowchart of determining n reliability values ​​provided in an embodiment of this application; Figure 4 This is a flowchart provided by an embodiment of the present application for determining the reliability value corresponding to the functional operation path of a first diagnostic device; Figure 5 This is a flowchart illustrating how to determine a diagnostic timeout warning message according to an embodiment of this application; Figure 6 This is a flowchart of a method for determining the functional operation path of a second target diagnostic device, provided in an embodiment of this application. Figure 7 This is a schematic diagram of the structure of a diagnostic equipment function operation path determination device provided in an embodiment of this application; Figure 8This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0012] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present application.

[0013] The terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.

[0014] In this document, the term "implementation" means that a specific feature, structure, or characteristic described in connection with an implementation may be included in at least one implementation of this application. The appearance of this phrase in various places in the specification does not necessarily refer to the same implementation, nor is it a separate or alternative implementation mutually exclusive with other implementations. It will be explicitly and implicitly understood by those skilled in the art that the implementations described herein can be combined with other implementations.

[0015] Please see Figure 1 , Figure 1 This is a flowchart of a method for determining the functional operation path of a diagnostic device according to an embodiment of this application, including but not limited to the following steps: S101: Obtain device data of the target diagnostic equipment, vehicle fault scenario data of the target vehicle, and user profile data of the diagnostic personnel.

[0016] In this embodiment, the device data of the target diagnostic device is key data used to clarify the basic information, functional status and adaptability of the diagnostic device itself. The core is to provide device-level basis for subsequent matching and compatible operation paths. Specifically, it includes device brand and model, current firmware and software versions, activated functional modules (such as the new energy high-voltage system diagnostic function has been activated, but the gearbox deep detection module has not been activated), device hardware status and historical usage records. This data directly determines whether the operation path can be executed normally on the device, avoiding path failure due to version incompatibility or inactive functions.

[0017] Vehicle fault scenario data of the target vehicle is the core data that describes the relevant information and basic status of vehicle faults. It provides vehicle-level support for locating fault types and generating accurate diagnostic paths. Specifically, it includes vehicle brand, model and year, vehicle identification number, currently reported fault codes and their interpretations, fault-related frozen frame data, current basic status of the vehicle and past fault records. This data directly determines the detection direction and core steps that the path should include, ensuring that the path can accurately point to the current fault.

[0018] User profile data for diagnostic personnel is a multi-dimensional dataset that comprehensively depicts their professional capabilities, operating habits, and adaptation needs. It provides personnel-level references for generating personalized paths that fit individual characteristics. Specifically, it includes skills and experience, operating preferences, historical operating performance, and scenario requirements. This data directly determines the level of detail in the path guidance, the operating logic, and auxiliary functions, ensuring that the path matches both the diagnostic personnel's ability level and their operating habits and current work scenario.

[0019] When acquiring device data from a target diagnostic device, data can be automatically collected through the device's own system interface. The device will report basic information such as brand, model, firmware version, and software version in real time. It will also detect and record the current hardware operating status and retrieve historical usage logs to extract data such as the frequency of calls to frequently used function modules and the range of vehicle models to be diagnosed. Data acquisition can be completed without manual input by diagnostic personnel. When acquiring vehicle fault scenario data for a target vehicle, a connection is first established between the diagnostic device and the vehicle's port. The vehicle identification number (VIN) is automatically read to confirm basic identity information such as brand, model, and year. Then, the fault codes and corresponding fault definitions stored in the vehicle control system are retrieved. Simultaneously, frozen frame data at the time of the fault, such as voltage, current, and temperature, is collected. At the same time, basic vehicle status data, such as battery level and engine operating status, is also acquired. If the device supports this, past fault repair records can also be queried, thus comprehensively collecting relevant data for the vehicle fault scenario. When acquiring user profile data of diagnostic personnel, some basic information can be obtained from the registration information when the diagnostic personnel first use the device. Subsequently, the data can be supplemented by automatically recording the operational behavior of the diagnostic personnel through the system. At the same time, diagnostic personnel are allowed to manually set their personal operation preferences, such as whether they need detailed step guidance or whether to enable voice prompts. By combining this automatically collected and manually set information, complete user profile data of diagnostic personnel can be obtained.

[0020] S102: Based on the device data, the vehicle fault scenario data, and the user profile data, determine k diagnostic device function operation paths and k reliability values ​​corresponding to the k diagnostic device function operation paths.

[0021] In this embodiment, 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.

[0022] When determining k diagnostic device function operation paths and their corresponding reliability values ​​based on device data, vehicle fault scenario data, and user profile data, these data can be input into a preset path generation model. The model will first filter out operation processes that are compatible with the current diagnostic device firmware version and supported by the functional modules based on the device data, excluding paths that cannot be executed due to device version mismatch or function inactivation. Then, combined with vehicle fault scenario data, it will further lock out paths that are suitable for the current fault code vehicle model year and fault status from the filtered processes, ensuring that the paths can specifically solve the current vehicle fault. Finally, the step details of these paths will be adjusted with reference to user profile data, thereby determining the k diagnostic device function operation paths.

[0023] After determining the k diagnostic device function operation paths, the k reliability values ​​corresponding to these k diagnostic device function operation paths can be determined by analyzing their historical successful diagnostic rates. The specific determination method is not limited here. It should be noted that the reliability values ​​in this embodiment can also be the confidence levels corresponding to the diagnostic device function operation paths. The k diagnostic device function operation paths can be 3 to 5 paths, and this is not limited here.

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

[0025] In this embodiment, when generating the list, the reliability level is used as the primary sorting criterion. The k diagnostic device function operation paths are arranged in descending order of reliability level, allowing diagnostic personnel to intuitively prioritize paths with higher reliability, reducing screening time. Simultaneously, the first function operation path list clearly presents key information for each path. In addition to the corresponding reliability level, it includes a summary of the core operation steps of the path, such as the main diagnostic steps and key actions covered by the path, as well as the range of compatible device versions, vehicle fault types, and required diagnostic personnel skill levels. This ensures that diagnostic personnel can quickly understand the applicable scenarios and operational priorities of each path through the list. Furthermore, the presentation format of the first function operation path list is optimized in conjunction with the diagnostic device's interface design, such as using a simple itemized layout, with each path as a separate item and key information highlighted prominently, allowing diagnostic personnel to clearly distinguish the differences between different paths when viewing.

[0026] The presentation of the first functional operation path list is designed based on the interface interaction logic of the diagnostic equipment and the viewing habits of the diagnostic personnel. The overall layout is mainly a clear and intuitive itemized layout, with each diagnostic equipment functional operation path arranged as an independent item. Each item will display key information in an orderly manner. Usually, the core identifier of the path is marked at the top, followed by the corresponding reliability value below. The reliability value will be highlighted with eye-catching fonts or colors, such as bold black numbers or green gradient fonts, so that the diagnostic personnel can quickly grasp the level of reliability. The middle of the item will briefly present the core characteristics of the path, such as the number of key operation steps expected to be completed. The diagnostic duration is adapted to the range of device firmware versions, and information on whether it is suitable for novice or experienced diagnosticians will be arranged in concise text, broken into lines or sections, to avoid information overload. Some device lists will also have auxiliary indicators on the right side of the entries, such as adding a star icon to paths with high reliability values, or marking recommended tags for paths that are suitable for the current diagnostician's skill level. Scroll bars or pagination buttons may be set at the bottom of the list to facilitate diagnosticians to quickly switch between different entries when the k-value is high. The overall interface will remain simple and free of redundant elements to ensure that diagnosticians can quickly browse and understand the core information of each path in a short time.

[0027] S104: Generate the first query information based on the first function operation path list.

[0028] In this embodiment, the first inquiry information is used by the diagnostic personnel to select the desired diagnostic device function operation path from the k diagnostic device function operation paths. First, the inquiry information clearly informs the diagnostic personnel that there are currently k suitable diagnostic device function operation paths available. It also briefly explains that the purpose of selecting a path is to match the current vehicle fault scenario and the individual's operating habits, making the selection clear to the diagnostic personnel. Next, key information from the first function operation path list is integrated into the inquiry information, typically presented as concise entries for each path's core content, including the reliability value corresponding to the path name and the suitable key scenario information, such as the fault type or suitable skill level for a particular path. The information presentation maintains the same reliability order as the list, facilitating the diagnostic personnel's continued viewing logic. Finally, clear operation guidance is added to the inquiry information, such as prompting the diagnostic personnel to confirm the desired path by clicking on the path entry or selecting the corresponding number. Some devices also include confirmation and cancellation buttons at the bottom of the inquiry information, ensuring that the diagnostic personnel clearly understand how to complete the selection operation.

[0029] The initial query information will be presented to the diagnostic personnel in an intuitive and interactive manner, taking into account the interface and operating scenario of the diagnostic device. If the diagnostic device is a portable device with a touch screen, the query information will usually be presented in the form of a pop-up or semi-pop-up in the center or upper area of ​​the screen. The background of the pop-up can be slightly distinguished from the main interface of the device to highlight the information hierarchy and avoid interference from other content. The pop-up can first display a guiding title, such as "Please select a diagnostic operation path", and then display the core information of each path in order of reliability of the first function operation path list below. Each path exists in the form of an independent option box or a clickable item. The item clearly marks the path name, reliability value and key adaptation information. Radio buttons or checkboxes can be set next to the options to facilitate the diagnostic personnel to quickly mark the selection. Clear function buttons can be set at the bottom of the pop-up, such as "Confirm Selection" and "Review", with the buttons using eye-catching colors or bold styles to ensure that the diagnostic personnel can quickly identify the operation entry. If the diagnostic equipment supports voice interaction, the query information can also be transmitted to the diagnostic personnel in the form of voice broadcast. The voice content concisely summarizes the selection requirements and key information of the high-reliability path, helping the diagnostic personnel to understand the selection content even when it is inconvenient to look at the screen. The overall display process takes into account both visual and operational convenience, thereby ensuring 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 diagnostic personnel's response 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 operations on the target vehicle according to the first target diagnostic device function operation path.

[0032] The system corresponding to the diagnostic equipment's functional operation path can monitor the diagnostic personnel's interactive actions in response to the first inquiry in real time. For example, when the diagnostic personnel click on the option box corresponding to a path on the touch screen, select a path item, or confirm a path through voice commands, these actions can be recognized by the system as response information. The system can match these response information with the contents of the first functional operation path list to find the diagnostic equipment functional operation path finally selected by the diagnostic personnel and define it as the first target diagnostic equipment functional operation path. After determining the target path, the system can provide continuous guidance to the diagnostic personnel around the path. For example, it can gradually pop up the next operation prompts on the diagnostic equipment interface, automatically jump to the functional module page corresponding to the path, and mark precautions at key operation nodes. If the diagnostic personnel deviates from the path process, the system can also provide timely correction suggestions to ensure that the diagnostic personnel can strictly follow the steps of the first target diagnostic equipment functional operation path and successfully use the target diagnostic equipment to complete the fault diagnosis operation of the target vehicle, thereby improving the accuracy and efficiency of the diagnostic process.

[0033] It can be seen that, firstly, by acquiring the target diagnostic equipment's data, the vehicle's fault scenario data, and the diagnostic personnel's user profile data in advance, the subsequently generated diagnostic path can be fully adapted to the current state of the equipment, the specific vehicle fault, and the personnel's operational capabilities. This avoids operational errors caused by incompatible equipment versions, mismatched paths and faults, or paths exceeding the personnel's skill level, significantly reducing the probability of diagnostic process interruptions or inaccurate diagnostic results. Secondly, by generating k paths with reliability values ​​and organizing them into a list for personnel to choose from, the system retains the diagnostic personnel's autonomy in decision-making while providing clear references through reliability ranking. This is especially helpful for inexperienced diagnostic personnel, helping them quickly identify more likely successful diagnostic paths and reducing time wasted due to improper path selection. Simultaneously, providing full guidance based on the selected target path allows diagnostic personnel to proceed without relying on memory or experience to review operational steps. This is particularly beneficial when dealing with unfamiliar fault types or using new equipment, as the step-by-step prompts steadily advance the diagnostic process, improving operational efficiency. The overall process also caters to the needs of diagnostic personnel of different skill levels, providing detailed guidance for novice diagnostic personnel and reserving streamlined operational space for experienced diagnostic personnel. Ultimately, this achieves the goal of a more efficient, accurate, and convenient diagnostic process, effectively improving the overall quality and efficiency of vehicle fault diagnosis.

[0034] Please see Figure 2 , Figure 2 This application provides a flowchart for determining the functional operation paths of k diagnostic devices, including but not limited to the following steps: S201: Input the device data, the vehicle fault scenario data, and the user profile data into a preset large model to obtain n diagnostic device function operation paths.

[0035] In this implementation, n is an integer greater than or equal to k. The preset large model can be different types of path generation models. The path generation model can be selected from various types according to data characteristics and diagnostic scenario requirements. Common ones include rule-based expert system models. Rule-based expert system models first sort out the professional knowledge in the field of vehicle diagnosis, and transform the operating specifications adapted to different equipment models, the diagnostic processes corresponding to different fault types, and the operating preferences of diagnostic personnel with different skill levels into a clear rule base. After receiving equipment data, vehicle fault scenario data, and user profile data, it uses rule matching to filter out paths that meet the equipment compatibility requirements, adapt to the current fault, and fit the operating habits of personnel.

[0036] The pre-set large model can also be a machine learning model, such as a model based on decision trees or random forests. Such models will first be trained using a large amount of historical diagnostic data to learn the correlation between equipment data, vehicle fault scenario data, user profile data and effective diagnostic paths. In practical applications, the trained decision tree or forest structure is traversed through the three types of input data to generate multiple sets of candidate paths.

[0037] The pre-set large model can also be a large language model or a multimodal model. These models have strong semantic understanding and multi-data fusion capabilities, and can deeply analyze the technical parameters in equipment data, the fault logic in vehicle fault scenario data, and the operational preferences in user profile data. They can construct a diagnostic path that is adapted to the current scenario through generative reasoning.

[0038] When inputting equipment data, vehicle fault scenario data, and user profile data into a pre-defined large model to obtain n diagnostic equipment function operation paths, the appropriate type of large model is first selected based on data characteristics and diagnostic scenario requirements. If a rule-based expert system model is selected, the model will call a pre-organized rule base for the vehicle diagnostic domain, matching the input equipment data with the operation specifications of different equipment models in the rule base, matching the vehicle fault scenario data with the diagnostic processes of different fault types, and matching the user profile data with the operation preferences of personnel with different skill levels. Through multi-dimensional rule filtering, n diagnostic equipment function operation paths that are compatible with faults and fit habits are generated. If a machine learning model based on decision trees or random forests is selected, the model will utilize the correlation patterns between the three types of data and effective diagnostic paths learned during the training phase to traverse and analyze the input data. According to the tree structure or the ensemble reasoning logic of multiple trees, it will output multiple sets of candidate paths adapted to the current scenario as n diagnostic equipment function operation paths. If a large language model or multimodal model is chosen, the model will first deeply analyze the meaning of technical parameters in the equipment data, the fault occurrence logic in the vehicle fault scenario data, and the operational preference characteristics in the user profile data. Then, through generative reasoning capabilities, it will construct n functional operation paths for the diagnostic equipment that both conform to the data characteristics and adapt to the current diagnostic needs. In practice, other large models can also be selected, and no limitation is made here.

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

[0040] In this implementation, historical application data for each path can be referenced to calculate the proportion of successful completions in similar equipment, vehicle fault scenarios, and among diagnostic personnel with similar skill levels. This historical success rate is the core foundation for assessing reliability. Secondly, the matching depth between each path and the current diagnostic scenario can be analyzed, including whether the path is fully compatible with the firmware version and functional modules of the target diagnostic device, whether it accurately covers the key detection steps of the target vehicle's current fault, and whether it aligns with the operating habits and skill levels of the diagnostic personnel. A higher matching degree results in a higher base reliability score. Simultaneously, the completeness and safety of the path itself can be considered, such as whether the path includes necessary safety verification steps, whether it covers handling procedures for possible anomalies, and whether the step logic is clear, without redundancy or omissions. Finally, a preset weighted algorithm can be used to integrate the evaluation results of historical success rate, scenario matching degree, path completeness, and safety into a specific numerical value, which is the reliability value corresponding to each diagnostic device functional operation path. After completing this evaluation process for each of the n paths, n reliability values ​​corresponding to the number of paths can be obtained.

[0041] S203: Determine the reliability value that is greater than the preset reliability value among the n reliability values ​​to obtain k reliability values.

[0042] In this embodiment, the preset reliability value is comprehensively formulated based on a large amount of historical vehicle diagnostic data, the processing requirements of different fault scenarios, and the operating specifications of diagnostic equipment. It can take into account the basic requirements for path reliability in conventional diagnostic scenarios, and can also be adjusted in combination with the complexity of the target vehicle fault and the safety risks of diagnostic operations.

[0043] The n reliability values ​​are compared one by one with the preset reliability values. Each reliability value is checked to see if it exceeds the preset standard. For values ​​that are greater than the preset reliability values, the corresponding diagnostic path is considered to meet the reliability requirements of the current diagnostic scenario. These qualified reliability values ​​are extracted to obtain k reliability values.

[0044] S204: Determine the diagnostic device function operation path corresponding to each of the k reliability values ​​to obtain the k diagnostic device function operation paths.

[0045] In this embodiment, since each diagnostic device function operation path corresponds to a reliability value, the diagnostic device function operation path corresponding to each of the k reliability values ​​can be determined, thus obtaining k diagnostic device function operation paths.

[0046] As can be seen, firstly, by processing three types of core data through a pre-set large model to generate n paths, the professional analysis capabilities of the pre-set large model can cover more possibilities suitable for the current scenario, avoiding the limitation of human experience leading to a single path selection or the omission of better solutions. Next, the reliability value corresponding to each diagnostic equipment function operation path is calculated, which can transform the reliability of the diagnostic equipment function operation path from a vague judgment to a quantitative indicator, making the comparison of the advantages and disadvantages of different diagnostic equipment function operation paths more intuitive, and helping to provide a clear evaluation basis for subsequent screening, avoiding the uncertainty brought about by relying on subjective experience to select paths. Then, by screening k qualified values ​​through the pre-set reliability value, the diagnostic equipment function operation paths with insufficient reliability can be quickly eliminated, reducing the selection cost of diagnostic personnel on low-quality diagnostic equipment function operation paths. At the same time, the existence of the pre-set standard can also ensure that the final retained diagnostic equipment function operation paths meet the basic requirements in terms of accuracy and safety, reducing the probability of diagnostic errors or operational risks caused by unreliable paths. Finally, by the correspondence between the reliability value and the diagnostic equipment function operation path, k high-quality diagnostic equipment function operation paths are determined, thereby accurately identifying diagnostic equipment function operation paths that are both suitable for the needs of equipment, vehicles and personnel and have high reliability.

[0047] Please see Figure 3 , Figure 3 This application provides a flowchart for determining n reliability values, including but not limited to the following steps: S301: Obtain the historical diagnostic data of the target diagnostic device within a preset historical time period.

[0048] In this embodiment, the historical diagnostic data within the preset historical time period refers to various relevant information generated when diagnostic tasks were actually performed within a specific time range in the past. This data can intuitively reflect the diagnostic performance of the target diagnostic device in different scenarios. Specifically, it includes the vehicle brand and model that the target diagnostic device has diagnosed, the corresponding fault type, the functional operation path used in each diagnosis, whether the diagnostic process was completed smoothly, whether the fault was successfully resolved, abnormal situations that occurred during the diagnosis process, and the handling results. By retrieving the target diagnostic device's local storage logs or cloud backup records, the historical diagnostic data of the target diagnostic device within the preset historical time period can be completely obtained.

[0049] S302: Determine the historical success rate of the first diagnostic device's functional operation path based on the historical diagnostic data.

[0050] In this embodiment, the first diagnostic device function operation path is any one of the n diagnostic device function operation paths.

[0051] First, in the collected historical diagnostic data, the diagnostic equipment function operation path used in each record is examined one by one. All diagnostic records that were completed using the first diagnostic equipment function operation path are extracted. These records cover the application of this path under different vehicle fault scenarios and different diagnostic personnel operations. Next, these extracted records can be classified to distinguish between successful and unsuccessful diagnostic records. Successful diagnostic records refer to records in which the vehicle fault was accurately identified through the first diagnostic equipment function operation path and the fault was repaired based on the diagnostic results of the path. Unsuccessful diagnostic records include records in which the fault was misdiagnosed due to path guidance deviation, the root cause of the fault was not found, or the diagnostic process was interrupted. Then, the total number of successful diagnostic records and the total number of diagnostic records related to the first diagnostic equipment function operation path are counted. Finally, the number of successful diagnostic records is divided by the total number of diagnostic records related to the first diagnostic equipment function operation path. The result is the historical success rate of the first diagnostic equipment function operation path.

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

[0053] In this embodiment, after determining the reliability value corresponding to the first diagnostic device function operation path based on the historical successful diagnosis rate, since the first diagnostic device function operation path is any one of the n diagnostic device function operation paths, the reliability value corresponding to each of the n diagnostic device function operation paths can be determined according to the method for determining the reliability value corresponding to the first diagnostic device function operation path, thus obtaining n reliability values.

[0054] As can be seen, by first acquiring historical diagnostic data of the target diagnostic device within a preset historical time period, the device's past diagnostic records can be directly used as the evaluation basis, ensuring the authenticity and reliability of the evaluation foundation. Then, based on this historical data, the historical success rate of each path is determined, which can intuitively reflect the effectiveness of the path in actual application. A high success rate indicates that the path performs more stably and is more likely to achieve the diagnostic goal in similar scenarios in the past, providing a quantifiable core reference indicator for the reliability value. Finally, determining the reliability value based on the historical success rate can transform the reliability of the path from a vague judgment into a specific value, making the comparison of the reliability of different paths clearer. At the same time, this evaluation method based on its own historical data can make the reliability value more suitable for the actual performance and usage environment of the diagnostic device, avoiding the mismatch problem that may be caused by general standards. The final n reliability values ​​will also more accurately reflect the true reliability of each path in the current diagnostic scenario.

[0055] Please see Figure 4 , Figure 4 This application provides a flowchart for determining the reliability value corresponding to the functional operation path of a first diagnostic device, including but not limited to the following steps: S401: Obtain the mapping relationship between historical successful diagnosis rate and reference reliability value.

[0056] In this embodiment, the mapping relationship between historical successful diagnosis rates and reference reliability values ​​clarifies which reference reliability value corresponds to different ranges of historical successful diagnosis rates. The range of the reference reliability value can be from 1 to 10 or from 1 to 100, and is not limited here. For example, a historical successful diagnosis rate of 90% or higher corresponds to a reference reliability value of 95, and 80% to 89% corresponds to a reference reliability value of 85, etc.

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

[0058] In this embodiment, after obtaining the historical successful diagnosis rate of the first diagnostic device's functional operation path, the mapping relationship between the obtained historical successful diagnosis rate and the reference reliability value is compared to find the numerical range of the historical successful diagnosis rate, and then the specific reference reliability value corresponding to that range is extracted. For example, if the historical successful diagnosis rate of a certain diagnostic device's functional operation path is 88%, and the mapping relationship shows that 80% to 89% corresponds to a reference reliability value of 85, then 85 is determined as the reference reliability value of the diagnostic device's functional operation path.

[0059] S403: Obtain the feedback approval rate of the first diagnostic device's function operation path within the preset historical time period.

[0060] In this embodiment, the positive feedback rate of the first diagnostic device's functional operation path within the preset historical time period is the evaluation data of the first diagnostic device's functional operation path by personnel who have used the path for diagnosis within the preset historical time period. The positive feedback rate is the percentage of positive reviews (such as believing that the path steps are clear, the operation is convenient, and it can efficiently solve faults) out of the total number of reviews. This percentage reflects the actual practicality of the first diagnostic device's functional operation path from the perspective of user experience. Therefore, it is necessary to obtain the positive feedback rate of the first diagnostic device's functional operation path within the preset historical time period.

[0061] S404: Determine the adjustment parameters corresponding to the positive feedback rate.

[0062] In this embodiment, it can be a preset mapping relationship between positive feedback rate and adjustment parameters. Based on this mapping relationship, the adjustment parameters corresponding to the positive feedback rate can be determined.

[0063] S405: Adjust the reference reliability value based on the adjustment parameters to obtain the reliability value corresponding to the functional operation path of the first diagnostic device.

[0064] In this embodiment, the reliability value corresponding to the functional operation path of the first diagnostic device is calculated according to the following formula: The reliability value corresponding to the first diagnostic equipment's functional operation path = reference reliability value × (1 + adjustment parameter); Based on the above formula, the reference reliability value can be adjusted according to the adjustment parameters to obtain the reliability value corresponding to the functional operation path of the first diagnostic device.

[0065] As can be seen, by first obtaining the mapping relationship between historical successful diagnosis rates and reference reliability values ​​and determining the reference value, we can take the actual diagnostic effects of the diagnostic equipment's functional operation path in the past as the core foundation. With the help of standardized corresponding rules, the calculation of reliability values ​​has a clear basis, avoiding the bias caused by subjective judgment and ensuring that the values ​​have basic objectivity and accuracy. Next, by introducing the feedback satisfaction rate and determining the corresponding adjustment parameters, we can incorporate the actual experience of diagnostic personnel after using the path into the evaluation. For example, whether the steps of the diagnostic equipment's functional operation path are clear and whether the operation is convenient, etc., are user-feeling factors. This makes up for the user experience dimension that may be ignored by relying solely on historical successful diagnosis rates. Finally, by using adjustment parameters to optimize the reference reliability value, we can combine objective historical diagnostic effects with subjective user experience feedback, so that the final reliability value more comprehensively covers the core value dimensions of the diagnostic equipment's functional operation path, which not only meets the effectiveness requirements of actual diagnosis, but also fits the operational needs of diagnostic personnel.

[0066] Please see Figure 5 , Figure 5 This is a flowchart of a method for determining diagnostic timeout prompt information provided in an embodiment of this application, including but not limited to the following steps: S501: 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.

[0067] In this embodiment, the current functional operation is any one of the functional operations included in the functional operation path of the first target diagnostic device.

[0068] When the diagnostic personnel perform diagnostic operations step by step according to the selected first target path, the system can automatically start timing for each specific functional operation included in the path from the moment the diagnostic personnel begin to perform the operation, and continuously record the length of time the operation is performed, thereby determining the diagnostic time for the current functional operation performed by the diagnostic personnel.

[0069] S502: Obtain the diagnostic time threshold required for the current function operation.

[0070] In this embodiment, the diagnostic time threshold required for the current function operation is the basis for determining whether the current function operation has timed out. The diagnostic time threshold is formulated based on a comprehensive consideration of factors such as the average completion time of the function operation under a large number of similar diagnostic scenarios, the complexity of the operation, the response speed of the device, and the routine operation efficiency of the diagnostic personnel. Different function operations correspond to different time thresholds.

[0071] S503: When the diagnosis duration exceeds the diagnosis duration threshold, generate a diagnosis timeout prompt message based on the diagnosis duration.

[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 according to 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 method for determining the functional operation path of a diagnostic device, characterized in that, include: Acquire equipment data of the target diagnostic equipment, vehicle fault scenario data of the target vehicle, and user profile data of the diagnostic personnel; The user profile data is multi-dimensional data that depicts the professional capabilities, operating habits, and adaptation needs of 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; Generate the first query information based on the first function operation path list; The first inquiry information is used by the diagnostic personnel to select the desired diagnostic device function operation path from the k diagnostic device function operation paths; Determine the first target diagnostic device function operation path corresponding to the diagnostic personnel's response to the first inquiry information, 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; The step of 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 includes: 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; Specifically, determining the reliability value corresponding to each of the n diagnostic device function operation paths yields n reliability values, including: 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.

2. The method as described in claim 1, characterized in that, The process of determining the reliability value corresponding to the functional operation path of the first diagnostic device based on the historical successful diagnostic rate includes: 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.

3. The method as described in claim 2, characterized in that, The method further includes: 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.

4. The method as described in claim 3, characterized in that, The method further includes: 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.

5. The method as described in claim 1, characterized in that, The method further includes: 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.

6. A diagnostic equipment function operation path determination device, characterized in that, The device includes: an acquisition unit and a processing unit; The acquisition unit is used to acquire equipment data of the target diagnostic equipment, vehicle fault scenario data of the target vehicle, and user profile data of the diagnostic personnel; the user profile data is multi-dimensional data that describes the professional capabilities, operating habits, and adaptation needs of the diagnostic personnel. The processing unit 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; 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. Determine the first target diagnostic device function operation path corresponding to the diagnostic personnel's response to the first inquiry information, 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; The step of 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 includes: 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; Specifically, determining the reliability value corresponding to each of the n diagnostic device function operation paths yields n reliability values, including: 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.

7. An electronic device, characterized in that, The method includes 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, and the one or more programs include instructions for performing the steps of the method according to any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that is executed by a processor to implement the method as described in any one of claims 1-5.

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