Fault detection result processing method and device, equipment and storage medium

Abstract

The invention relates to a fault detection result processing method, device and equipment and a storage medium, and the method comprises the steps: receiving a fault tree and first state information reported by a target vehicle, the fault tree being used for representing a detection result of fault detection of the target vehicle, the first state information is state information recorded in the vehicle running process; extracting a target fault condition of the target vehicle from the fault tree; determining a target type of state information corresponding to the target fault condition based on a pre-acquired association relationship between the fault condition and the type of the state information, and extracting second state information of the target type associated with the target fault condition from the first state information; and feeding back the target fault condition and the second state information to a user. According to the method, the target fault condition of the vehicle is acquired, the associated state information is fed back to the user, and the user can be helped to know which factors the fault is related to, so that the fault is eliminated.

Description

Technical Field

[0001] The present disclosure relates to the field of vehicle technology, and in particular to a method, device, equipment and storage medium for processing fault detection results. Background Art

[0002] With the development of the economy, cars have entered more and more families. To ensure the driving safety of the vehicle, car owners will regularly perform self-tests on the vehicle. However, it is difficult to locate the cause of the fault based solely on the test results. Even if a comprehensive analysis is performed on the test results and the status information recorded during the vehicle operation, it is difficult to find the potential connection between the fault results and the status information. In addition, the efficiency of manual comparison and analysis is low, resulting in the inability to quickly locate the status information related to the fault results. After the fault occurs, it cannot be handled in time, affecting the user's travel. Therefore, how to process the vehicle's fault detection results through technical means and determine the status information related to the fault results is a technical problem that needs to be solved. Summary of the invention

[0003] In order to solve the above technical problems, the present disclosure provides a method, device, equipment and storage medium for processing fault detection results.

[0004] A first aspect of an embodiment of the present disclosure provides a method for processing a fault detection result, the method comprising:

[0005] Receive a fault tree and first state information reported by a target vehicle, wherein the fault tree is used to characterize a detection result of a fault detection performed on the target vehicle, and the first state information is state information recorded during the operation of the vehicle;

[0006] Extracting a target fault condition of the target vehicle from the fault tree;

[0007] Determine, based on a pre-acquired association relationship between a fault condition and a type of status information, a target type of status information corresponding to the target fault condition, and extract second status information of the target type associated with the target fault condition from the first status information;

[0008] The target fault condition and the second state information are fed back to the user.

[0009] A second aspect of an embodiment of the present disclosure provides a device for processing a fault detection result, the device comprising:

[0010] A receiving module, used for receiving a fault tree and first state information reported by a target vehicle, wherein the fault tree is used to characterize a detection result of a fault detection performed on the target vehicle, and the first state information is state information recorded during the operation of the vehicle;

[0011] An extraction module, used for extracting a target fault condition of the target vehicle from the fault tree;

[0012] A first determination module, configured to determine a target type of the state information corresponding to the target fault condition based on an association relationship between the fault condition and the type of state information acquired in advance, and extract second state information of the target type associated with the target fault condition from the first state information;

[0013] A feedback module is used to feed back the target fault condition and the second state information to the user.

[0014] A third aspect of an embodiment of the present disclosure provides a computer device, comprising a memory and a processor, and a computer program, wherein the computer program is stored in the memory, and when the computer program is executed by the processor, the method for processing the fault detection results of the first aspect described above is implemented.

[0015] A fourth aspect of an embodiment of the present disclosure provides a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, the method for processing fault detection results as described in the first aspect above is implemented.

[0016] Compared with the prior art, the technical solution provided by the embodiments of the present disclosure has the following advantages:

[0017] In the processing method, device, equipment and storage medium of fault detection results provided in the embodiments of the present disclosure, by receiving the fault tree and first state information reported by the target vehicle, the fault tree is used to characterize the detection result of fault detection of the target vehicle, and the first state information is the state information recorded during the operation of the vehicle. The target fault condition of the target vehicle is extracted from the fault tree, and the target type of the state information corresponding to the target fault condition is determined based on the association relationship between the pre-acquired fault condition and the type of state information, and the second state information of the target type associated with the target fault condition is extracted from the first state information, and the target fault condition and the second state information are fed back to the user. The target fault condition of the vehicle can be extracted from the fault tree reported by the vehicle, and the second state information associated with the target fault condition can be extracted from the state information reported by the vehicle, and then the feedback is given to the user, so that the user can quickly understand which factors are related to the vehicle failure, and then locate the specific fault location, which is convenient for the user to quickly eliminate the vehicle failure and ensure the user's safe travel. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0019] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0020] Figure 1 is a flow chart of a method for processing fault detection results provided by an embodiment of the present disclosure;

[0021] Figure 2 is a flow chart of a method for determining a fault condition provided by an embodiment of the present disclosure;

[0022] Figure 3 is a flow chart of a method for displaying a fault tree provided by an embodiment of the present disclosure;

[0023] Figure 4 is a flow chart of a method for feeding back vehicle information provided by an embodiment of the present disclosure;

[0024] Figure 5 is a flow chart of a method for generating description information provided by an embodiment of the present disclosure;

[0025] Figure 6 is a flow chart of a method for feeding back description information provided by an embodiment of the present disclosure;

[0026] Figure 7 is a structural schematic diagram of a device for processing fault detection results provided by an embodiment of the present disclosure;

[0027] Figure 8 It is a structural diagram of a computer device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0028] In order to more clearly understand the above-mentioned objectives, features and advantages of the present disclosure, the scheme of the present disclosure will be further described below. It should be noted that the embodiments of the present disclosure and the features in the embodiments can be combined with each other without conflict.

[0029] In the following description, many specific details are set forth to facilitate a full understanding of the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; it is obvious that the embodiments in the specification are only part of the embodiments of the present disclosure, rather than all of the embodiments.

[0030] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0031] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0032] It should be noted that the modifications of "one" and "plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0033] Figure 1 is a flowchart of a method for processing a fault detection result provided by an embodiment of the present disclosure, and the method can be executed by a device for processing a fault detection result. Figure 1 As shown, the method for processing the fault detection result provided in this embodiment includes the following steps:

[0034] S101. Receive a fault tree and first state information reported by a target vehicle. The fault tree is used to characterize a detection result of a fault detection performed on the target vehicle. The first state information is state information recorded during operation of the vehicle.

[0035] The fault tree in the embodiment of the present disclosure can be understood as a file stored in the form of a tree structure, which is used to characterize the detection results of fault detection of the target vehicle. The target vehicle can deduce whether there is a fault event corresponding to the root node based on the tree structure to complete the fault detection, and add the derivation result to the fault tree to obtain the fault detection result.

[0036] The first status information in the embodiment of the present disclosure may be understood as status information of various components recorded during the operation of the vehicle.

[0037] In the disclosed embodiment, the fault detection result processing device may receive a fault tree representing the fault detection result reported by the target vehicle after vehicle detection and first state information of each component recorded when a fault occurs.

[0038] In an exemplary implementation of the embodiment of the present disclosure, the device for processing fault detection results may receive a detection data packet reported by a target vehicle, and extract a fault tree and first state information therefrom.

[0039] In another exemplary implementation of the disclosed embodiment, the fault detection result processing device may periodically obtain a detection data packet generated after the target vehicle is detected, and extract the fault tree and the first state information therefrom.

[0040] S102: extracting a target fault condition of a target vehicle from a fault tree.

[0041] The fault condition in the embodiment of the present disclosure may be understood as information used to characterize the detailed condition of a vehicle fault. For example, the fault condition may be a fault feature extracted from a fault tree.

[0042] In the embodiment of the present disclosure, the fault detection result processing device can extract the detected target fault condition of the target vehicle from the fault tree after obtaining the fault tree.

[0043] In an exemplary implementation of the disclosed embodiment, the fault detection result processing device may extract event results of events corresponding to each node included in the fault tree after obtaining the fault tree, and determine them as target fault conditions.

[0044] S103: Determine a target type of the status information corresponding to the target fault condition based on the association relationship between the fault condition and the type of status information obtained in advance, and extract second status information of the target type associated with the target fault condition from the first status information.

[0045] In the disclosed embodiment, the processing device for fault detection results can pre-acquire the association relationship between various types of fault conditions and types of status information, and after extracting the target fault condition from the fault tree reported by the target vehicle, extract the second status information of the target type from the first status information based on the association relationship between the fault condition and the type of status information.

[0046] In an exemplary implementation of the disclosed embodiment, a device for processing fault detection results may input a target fault condition and first state information into a pre-trained association model. The association model may determine state information associated with the fault condition of the vehicle from the input state information based on the association relationship between the fault condition and the type of state information. For example, the association model may be trained based on manually annotated training data, and the training data may include various types of fault conditions and the types of state information associated therewith. The association model may extract the association relationship between the fault condition and the type of state information during the training process. Furthermore, when the association model is applied to extract second state information of the target type from the first state information, the target fault condition and the first state information are input into the association model to obtain the second state information output by the model.

[0047] In an exemplary implementation of the disclosed embodiment, a processing device for fault detection results can extract features of a fault tree, and determine the extracted features as a target fault condition, and then perform similarity calculation between the target fault condition and historically collected fault conditions, determine the fault condition with the highest similarity to the target fault condition, and then based on the correlation between the fault condition and the type of state information, determine the type of state information corresponding to the fault condition most similar to the target fault condition, determine it as the target type, and then extract the second state information of the target type from the first state information.

[0048] S104: Feedback the target fault condition and the second status information to the user.

[0049] The users in the disclosed embodiment may include vehicle owner users or staff users.

[0050] In the disclosed embodiment, the fault detection result processing device may feed back the target fault condition and the second status information to the user corresponding to the target vehicle after obtaining the target fault condition and the second status information.

[0051] In an exemplary implementation of the disclosed embodiment, the fault detection result processing device can determine the user corresponding to the target vehicle based on the correspondence between the vehicle and the user, and then feed back the target fault condition and the second state information to the user corresponding to the target vehicle.

[0052] The disclosed embodiment receives a fault tree and first state information reported by a target vehicle, wherein the fault tree is used to characterize the detection result of fault detection of the target vehicle, and the first state information is state information recorded during the operation of the vehicle. The target fault condition of the target vehicle is extracted from the fault tree, and the target type of the state information corresponding to the target fault condition is determined based on the association relationship between the fault condition and the type of state information obtained in advance, and the second state information of the target type associated with the target fault condition is extracted from the first state information, and the target fault condition and the second state information are fed back to the user. The target fault condition of the vehicle can be extracted from the fault tree reported by the vehicle, and the second state information associated with the target fault condition can be extracted from the state information reported by the vehicle, and then the feedback is given to the user, so that the user can quickly understand which factors are related to the vehicle failure, and then locate the specific fault location, so as to facilitate the user to quickly eliminate the vehicle failure and ensure the user's safe travel. Experts can also conduct more in-depth special business analysis based on the fault and related state information to expand deeper exploration of fault-related businesses.

[0053] Figure 2 is a flow chart of a method for determining a fault condition provided by an embodiment of the present disclosure, such as Figure 2As shown, based on the above embodiment, the fault condition can be determined by the following method, wherein the fault tree includes a root node and at least one child node, the root node includes a first result of the fault event, and the child node under the root node includes a second result of the cause event that caused the fault event.

[0054] S201. Extract a first result of a fault event from a root node of a fault tree.

[0055] In the disclosed embodiment, a fault tree may correspond to a fault event, and include a root node and multiple child nodes, wherein the root node is used to characterize the fault event of the target detection, and the child nodes of different levels under the root node respectively correspond to a cause event, and the cause event corresponding to each child node can directly affect the cause event corresponding to its upper parent node. For the child node directly connected to the root node, the corresponding cause event can directly affect the fault event corresponding to the root node. After the target vehicle undergoes vehicle detection based on the fault tree, the event result of the fault event or cause event corresponding to the node will be stored in each node, wherein the root node includes a first result of whether the fault event occurs, and the child node includes a second result of whether the cause event causing the fault event occurs.

[0056] In the disclosed embodiment, the fault detection result processing device may, after obtaining the fault tree reported by the vehicle, extract from the root node of the fault tree a first result of whether a fault event contained in the root node has occurred.

[0057] S202: Extract the second result of the occurred cause event from the child node of the fault tree.

[0058] In the disclosed embodiment, after obtaining the fault tree reported by the vehicle, the fault detection result processing device can select sub-nodes where the cause event has occurred from each sub-node of the fault tree, and extract the second results contained in these sub-nodes.

[0059] In an exemplary implementation of the disclosed embodiment, the fault detection result processing device may, after obtaining the fault tree reported by the vehicle, traverse each sub-node contained in the fault tree, determine the sub-nodes in which the cause event has occurred, and then extract the second results contained in these sub-nodes.

[0060] S203: Determine the first result of the fault event and the second result of the cause event that has occurred as a target fault condition.

[0061] In an embodiment of the present disclosure, a device for processing fault detection results can obtain a first result of a fault event corresponding to a root node in a fault tree and a second result of a cause event that has occurred corresponding to a child node, and then combine the first result with the second result to obtain a target fault condition.

[0062] In an exemplary implementation of an embodiment of the present disclosure, a processing device for fault detection results can determine a sub-node in a fault tree where a corresponding cause event has not occurred, delete it from the fault tree, obtain a remaining tree structure, and determine the event results of the events corresponding to each node in the remaining tree structure as the target fault condition.

[0063] The disclosed embodiment extracts the first result of the fault event from the root node of the fault tree, extracts the second result of the cause event that has occurred from the child node of the fault tree, and determines the first result of the fault event and the second result of the cause event that has occurred as the target fault situation. It is able to extract the fault situation that includes the result of the fault event and the result of the cause event that led to the fault event. Therefore, when determining the status information related to the fault, it is possible to determine the associated status information not only according to the fault result, but also according to the fault cause, thereby obtaining more accurate second status information, further helping users to locate the specific fault location, eliminate vehicle faults, and ensure the safety of users' travel.

[0064] In some embodiments of the present disclosure, the first status information includes pre-set status information related to the fault event included in the root node of the fault tree.

[0065] Specifically, when configuring the fault tree required for detection for the vehicle, the staff can simultaneously configure the status information related to the fault event contained in the root node of the fault tree. For example, when configuring the fault tree for detecting fault A, the staff can simultaneously configure the status information A1, A2, and A3 related to fault A. Therefore, when the target vehicle reports the fault tree, the first status information related to the fault event contained in the root node of the fault tree is also reported. Then, when determining the second status information associated with the target fault condition, the processing scope is narrowed and the processing speed is improved.

[0066] In other embodiments of the present disclosure, the association relationship between the types of fault conditions and status information is obtained by performing cluster analysis based on multiple groups of pre-acquired fault conditions and status information.

[0067] Specifically, the processing device for the fault detection results can pre-collect multiple groups of fault conditions of the vehicle and status information recorded when the fault occurs, and then perform cluster analysis on the collected information. First, feature vectors are extracted from the fault conditions and status information, and then the similarity between the feature vectors is calculated to classify the fault conditions. Based on the classification results, status information with a correlation degree with each type of fault condition greater than a preset threshold is screened out, and then the type of the screened status information is determined as the type of status information associated with the fault condition. The cluster analysis is completed, and the potential connection between the fault condition and the type of status information can be extracted through big data, thereby assisting in the subsequent determination of the second status information associated with the target fault condition.

[0068] Figure 3 is a flow chart of a method for displaying a fault tree provided by an embodiment of the present disclosure, such as Figure 3 As shown, based on the above embodiment, the fault tree can be displayed by the following method.

[0069] S301. Based on the first result and the second result, the root node and the child node corresponding to the event that has occurred in the fault event and the cause event are determined as the target node.

[0070] In the disclosed embodiment, after receiving the fault tree reported by the vehicle, the processing device for the fault detection results can determine whether each fault event and cause event has occurred based on the first result of the fault event contained in the root node of the fault tree and the second result of the cause event contained in the child node of the fault tree, filter out the events that have occurred, and then determine the root node and child node corresponding to the event that has occurred as the target node.

[0071] S302: labeling the target nodes in the fault tree.

[0072] In the disclosed embodiment, the fault detection result processing device may, after determining the target node, mark the target node in the fault tree. For example, the target node may be highlighted.

[0073] S303: Display the fault tree.

[0074] In the disclosed embodiment, the apparatus for processing fault detection results may display a fault tree including the labeled target nodes after completing the labeling process on the target nodes.

[0075] The disclosed embodiment determines the root nodes and child nodes corresponding to the events that have occurred in the fault events and cause events as target nodes based on the first result and the second result, labels the target nodes in the fault tree, and displays the fault tree. The nodes corresponding to the events that have occurred can be labeled in the fault tree, so that relevant personnel can intuitively see the vehicle fault situation through the labeled fault tree, understand the various cause events that cause the fault, or the cause events that did not cause the fault but were related to it, and then quickly understand the vehicle situation.

[0076] Figure 4 is a flow chart of a method for feeding back vehicle information provided by an embodiment of the present disclosure, such as Figure 4 As shown, based on the above embodiment, vehicle information can be fed back through the following method.

[0077] S401: Generate target description information for describing a target fault condition and second state information.

[0078] The target description information in the embodiment of the present disclosure may be understood as text information used to describe the target fault condition and the second state information.

[0079] In the embodiment of the present disclosure, the fault detection result processing device can, after determining the target fault condition and the second state information, express the target fault condition and the second state information through natural language to obtain target description information.

[0080] In an exemplary implementation of an embodiment of the present disclosure, the fault detection result processing device can, after determining the target fault condition and the second state information, organize the contents in the target fault condition and the second state information according to a preset expression order, and add some connecting words between each part of the content to generate target description information.

[0081] S402: Feedback target description information to the user.

[0082] In the disclosed embodiment, the fault detection result processing device may feed back the generated target description information to the user corresponding to the target vehicle after generating the target description information. The specific feedback method is similar to S104 and will not be described in detail here.

[0083] The disclosed embodiment generates target description information for describing the target fault condition and the second status information, and feeds back the target description information to the user. The target description information can clearly inform the user of the current fault condition of the vehicle and status information related to the fault, so that the user can locate the specific fault location after understanding the information, eliminate the vehicle fault, and ensure the user's safe travel.

[0084] Figure 5 is a flowchart of a method for generating description information provided by an embodiment of the present disclosure, such as Figure 5 As shown, based on the above embodiment, description information can be generated by the following method.

[0085] S501: Generate first description information based on a target fault condition and a preset first language template.

[0086] The first language template in the embodiment of the present disclosure may be understood as a language template used to generate first description information describing a fault condition based on a fault condition of the vehicle.

[0087] In the disclosed embodiment, the fault detection result processing device may generate first description information describing the target fault situation according to a preset first language template after obtaining the target fault situation.

[0088] In an exemplary implementation of an embodiment of the present disclosure, a processing device for a fault detection result can extract a fault object, a fault type and a fault cause from a target fault condition, and fill the fault object, the fault type and the fault cause into corresponding positions based on a first language template to generate first description information.

[0089] S502: Generate second description information based on the second state information and a preset second language template.

[0090] The second language template in the embodiment of the present disclosure may be understood as a language template used to generate second description information describing the second state information based on the second state information of the vehicle.

[0091] In the embodiment of the present disclosure, the fault detection result processing device may generate second description information describing the second state information according to a preset second language template after obtaining the second state information.

[0092] In an exemplary implementation of an embodiment of the present disclosure, a processing device for a fault detection result may extract a status information category and a specific value of the status information from the second status information, and fill the status information category and the specific value of the status information into corresponding positions based on a second language template to generate second descriptive information.

[0093] S503: Combine the first description information and the second description information to obtain target description information.

[0094] In the disclosed embodiment, the fault detection result processing device may combine the first description information with the second description information after obtaining the first description information and the second description information to obtain the target description information.

[0095] In an exemplary implementation of the embodiment of the present disclosure, the device for processing the fault detection result may add certain conjunctions between the first description information and the second description information after obtaining the first description information and the second description information to obtain the target description information.

[0096] The disclosed embodiment generates first description information based on the target fault condition and a preset first language template, generates second description information based on the second state information and a preset second language template, and combines the first description information with the second description information to obtain target description information. The target description information can clearly describe both the target fault condition and the second state information, so that the user can locate the specific fault location after fully understanding the information, eliminate vehicle faults, and ensure the user's safe travel.

[0097] Figure 6 is a flow chart of a method for feeding back description information provided by an embodiment of the present disclosure, such as Figure 6As shown, based on the above embodiment, description information can be fed back through the following method.

[0098] S601. Send target description information to the target vehicle.

[0099] In the disclosed embodiment, the fault detection result processing device may, after generating the target description information, send the target description information to the target vehicle via a communication connection established with the target vehicle, such as a network connection.

[0100] S602: Control the target device of the target vehicle to feed back target description information to the user.

[0101] The target device in the embodiment of the present disclosure may be understood as a vehicle-mounted device with output capability. For example, the target device may be a display screen, a speaker, etc., which is not limited here.

[0102] In the disclosed embodiment, the fault detection result processing device may send a control instruction to the target vehicle after sending the target description information to the target vehicle, so as to control the target device on the target vehicle to feed back the target description information to the user.

[0103] The disclosed embodiment sends target description information to a target vehicle and controls a target device of the target vehicle to feed back the target description information to a user, so that people in the vehicle can directly receive the target description information through the target device, and then understand the vehicle's fault condition and related status information, locate the specific fault location, eliminate the vehicle fault, and ensure the user's safe travel.

[0104] Figure 7 is a structural diagram of a device for processing fault detection results provided by an embodiment of the present disclosure, such as Figure 7 As shown, the processing device 700 for the fault detection result includes: a receiving module 710, an extraction module 720, a first determination module 730, and a feedback module 740, wherein the receiving module 710 is used to receive a fault tree and first state information reported by a target vehicle, the fault tree is used to characterize the detection result of fault detection of the target vehicle, and the first state information is state information recorded during the operation of the vehicle; the extraction module 720 is used to extract a target fault condition of the target vehicle from the fault tree; the first determination module 730 is used to determine the target type of state information corresponding to the target fault condition based on the association relationship between the pre-acquired fault condition and the type of state information, and extract the second state information of the target type associated with the target fault condition from the first state information; the feedback module 740 is used to feedback the target fault condition and the second state information to the user.

[0105] Optionally, the fault tree includes a root node and at least one child node, the root node includes a first result of the fault event, and the child nodes under the root node include a second result of the cause event that caused the fault event. The extraction module 720 includes: a first extraction unit, used to extract the first result of the fault event from the root node of the fault tree; a second extraction unit, used to extract the second result of the cause event that has occurred from the child node of the fault tree; and a determination unit, used to determine the first result of the fault event and the second result of the cause event that has occurred as the target fault condition.

[0106] Optionally, the first status information includes preset status information related to the fault event included in the root node of the fault tree.

[0107] Optionally, the processing device for the fault detection results also includes: a second determination module, used to determine the root nodes and child nodes corresponding to the events that have occurred in the fault event and the cause event as target nodes based on the first result and the second result; a labeling module, used to label the target nodes in the fault tree; and a display module, used to display the fault tree.

[0108] Optionally, the feedback module 740 includes: a generation unit, used to generate target description information for describing the target fault condition and the second state information; and a feedback unit, used to feed back the target description information to the user.

[0109] Optionally, the generation unit includes: a first generation subunit, used to generate first description information based on the target fault condition and a preset first language template; a second generation subunit, used to generate second description information based on second state information and a preset second language template; and a combination subunit, used to combine the first description information with the second description information to obtain the target description information.

[0110] Optionally, the feedback module 740 includes: a sending unit, used to send the target description information to the target vehicle; the feedback unit is specifically used to control the target device of the target vehicle to feed back the target description information to the user.

[0111] The fault detection result processing device provided in this embodiment can execute the method described in any of the above embodiments. Its execution method and beneficial effects are similar and will not be described in detail here.

[0112] Figure 8 It is a structural diagram of a computer device provided in an embodiment of the present disclosure.

[0113] like Figure 8 As shown, the computer device may include a processor 810 and a memory 820 storing computer program instructions.

[0114] Specifically, the processor 810 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0115] The memory 820 may include a large capacity memory for information or instructions. By way of example and not limitation, the memory 820 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a tape, or a universal serial bus (USB) drive or a combination of two or more of these. Where appropriate, the memory 820 may include a removable or non-removable (or fixed) medium. Where appropriate, the memory 820 may be inside or outside the integrated gateway device. In a particular embodiment, the memory 820 is a non-volatile solid-state memory. In a particular embodiment, the memory 820 includes a read-only memory (ROM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (Electrically Erasable Programmable ROM, EEPROM), an electrically rewritable ROM (EAROM) or a flash memory, or a combination of two or more of these.

[0116] The processor 810 reads and executes the computer program instructions stored in the memory 820 to perform the steps of the method for processing the fault detection result provided in the embodiment of the present disclosure.

[0117] In one example, the computer device may further include a transceiver 830 and a bus 840. Figure 8 As shown, the processor 810, the memory 820 and the transceiver 830 are connected via a bus 840 and communicate with each other.

[0118] The bus 840 includes hardware, software, or both. For example, but not limitation, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industrial Standard Architecture (ISA) bus, an InfiniBand interconnect, a Low Pin Count (LPC) bus, a memory bus, a MicroChannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses or a combination of two or more of these. Where appropriate, the bus 840 may include one or more buses. Although embodiments of the present application describe and illustrate a particular bus, the present application contemplates any suitable bus or interconnect.

[0119] The embodiments of the present disclosure further provide a computer-readable storage medium, which may store a computer program. When the computer program is executed by a processor, the processor implements the method for processing fault detection results provided by the embodiments of the present disclosure.

[0120] The above-mentioned storage medium may, for example, include a memory 820 of computer program instructions, and the above-mentioned instructions may be executed by a processor 810 of a processing device for a fault detection result to complete the processing method of the fault detection result provided by the embodiment of the present disclosure. Optionally, the storage medium may be a non-temporary computer-readable storage medium, for example, the non-temporary computer-readable storage medium may be a ROM, a random access memory (Random Access Memory, RAM), a compact disc read-only memory (Compact Disc ROM, CD-ROM), a magnetic tape, a floppy disk, and an optical data storage device, etc. The above-mentioned computer program may be written in any combination of one or more programming languages ​​to perform the program code of the operation of the embodiment of the present disclosure, and the programming language includes an object-oriented programming language, such as Java, C++, etc., and also includes a conventional procedural programming language, such as "C" language or a similar programming language. The program code may be executed entirely on a user computing device, partially on a user device, as an independent software package, partially on a user computing device, partially on a remote computing device, or entirely on a remote computing device or server.

[0121] The above description is only a specific embodiment of the present disclosure, so that those skilled in the art can understand or implement the present disclosure. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to the embodiments described herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for processing fault detection results, characterized in that: The method comprises: Receive a fault tree and first state information reported by a target vehicle, wherein the fault tree is used to characterize a detection result of a fault detection performed on the target vehicle, and the first state information is state information recorded during the operation of the vehicle; Extracting a target fault condition of the target vehicle from the fault tree; Determine, based on a pre-acquired association relationship between a fault condition and a type of status information, a target type of status information corresponding to the target fault condition, and extract second status information of the target type associated with the target fault condition from the first status information; The target fault condition and the second state information are fed back to the user.

2. The method according to claim 1, characterized in that The fault tree comprises a root node and at least one child node, the root node comprises a first result of a fault event, the child node under the root node comprises a second result of a cause event leading to the fault event, and extracting the target fault condition of the target vehicle from the fault tree comprises: Extracting a first result of the fault event from a root node of the fault tree; Extracting a second result of the occurred cause event from the child node of the fault tree; The first result of the fault event and the second result of the occurred cause event are determined as the target fault condition.

3. The method according to claim 2, characterized in that The first status information includes preset status information related to the fault event included in the root node of the fault tree.

4. The method according to claim 2, characterized in that: After receiving the fault tree reported by the target vehicle, the method further includes: Based on the first result and the second result, determining the root node and the child node corresponding to the event that has occurred in the fault event and the cause event as the target node; Performing labeling processing on the target node in the fault tree; The fault tree is displayed.

5. The method according to claim 1, characterized in that: The feeding back the target fault condition and the second state information to the user includes: Generate target description information for describing the target fault condition and the second state information; The target description information is fed back to the user.

6. The method according to claim 5, characterized in that The generating target description information for describing the target fault condition and the second state information includes: Generate first description information based on the target fault condition and a preset first language template; generating second description information based on the second state information and a preset second language template; The first description information is combined with the second description information to obtain the target description information.

7. The method according to claim 5, characterized in that Before feeding back the target description information to the user, the method further includes: Sending the target description information to the target vehicle; The feeding back the target description information to the user includes: The target device of the target vehicle is controlled to feed back the target description information to the user.

8. A device for processing fault detection results, characterized in that: The device comprises: A receiving module, used for receiving a fault tree and first state information reported by a target vehicle, wherein the fault tree is used to characterize a detection result of a fault detection performed on the target vehicle, and the first state information is state information recorded during the operation of the vehicle; An extraction module, used for extracting a target fault condition of the target vehicle from the fault tree; A first determination module, configured to determine a target type of the state information corresponding to the target fault condition based on an association relationship between the fault condition and the type of state information acquired in advance, and extract second state information of the target type associated with the target fault condition from the first state information; A feedback module is used to feed back the target fault condition and the second state information to the user.

9. A computer device, characterized in that: include: Memory; processor; and a computer program; wherein the computer program is stored in the memory and is configured to be executed by the processor to implement the method according to any one of claims 1 to 7.

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

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