CN117873045A - Device, method, equipment and storage medium for diagnosing faults of general components of vehicle - Google Patents
Device, method, equipment and storage medium for diagnosing faults of general components of vehicle Download PDFInfo
- Publication number
- CN117873045A CN117873045A CN202410192410.4A CN202410192410A CN117873045A CN 117873045 A CN117873045 A CN 117873045A CN 202410192410 A CN202410192410 A CN 202410192410A CN 117873045 A CN117873045 A CN 117873045A
- Authority
- CN
- China
- Prior art keywords
- component
- fault
- vehicle
- information
- general
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000003745 diagnosis Methods 0.000 claims abstract description 45
- 238000012544 monitoring process Methods 0.000 claims abstract description 25
- 230000002159 abnormal effect Effects 0.000 claims description 20
- 238000004590 computer program Methods 0.000 claims description 14
- 230000009193 crawling Effects 0.000 claims description 14
- 238000000605 extraction Methods 0.000 claims description 5
- 230000005856 abnormality Effects 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 3
- 238000004891 communication Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
Landscapes
- Vehicle Cleaning, Maintenance, Repair, Refitting, And Outriggers (AREA)
Abstract
The application discloses a vehicle universal component fault diagnosis device, method, equipment and storage medium, relates to the technical field of vehicle fault diagnosis, and comprises the following steps: the component determining module is used for determining a universal component of the target vehicle to be detected; the component monitoring module is used for acquiring component anomaly codes and corresponding component names of the general components of the target vehicle under each vehicle type; the information collection module is used for collecting the information monitored by the component monitoring module so as to obtain a corresponding information collection result; the fault retrieval module is used for carrying out matching retrieval on a preset fault information database by utilizing the information collection result so as to obtain a corresponding fault retrieval result; and the report creation module is used for dividing the fault retrieval result according to the vehicle type and generating each fault diagnosis report corresponding to different vehicle types of the general component of the target vehicle. In this way, a more complete failure situation of the general-purpose components of the vehicle can be obtained.
Description
Technical Field
The present invention relates to the field of vehicle fault diagnosis technologies, and in particular, to a device, a method, an apparatus, and a storage medium for diagnosing a vehicle universal component fault.
Background
The current vehicle diagnosis report is a fault code obtained by detecting the fault of the vehicle by the detecting equipment, and the diagnostic report of the vehicle is generated according to the fault code, wherein the fault code and the fault are in one-to-one correspondence with each other. In practice, there may be inaccuracy. In addition, for a failed vehicle component, other possible failure conditions of the component cannot be analyzed, so how to use the vehicle component as a core and analyze possible failure conditions of the same general-purpose vehicle component under different vehicle types is needed to be solved.
Disclosure of Invention
In view of the above, an object of the present invention is to provide a vehicle general-purpose component failure diagnosis apparatus, method, device, and storage medium, which can acquire failure information that may exist in different vehicle types for the target vehicle general-purpose component, and can better analyze the condition of the target vehicle general-purpose component. The specific scheme is as follows:
in a first aspect, the present application discloses a vehicle universal component fault diagnosis apparatus comprising:
the component determining module is used for determining a universal component of the target vehicle to be detected;
the component monitoring module is used for monitoring the general components of the target vehicle in different types of vehicles to obtain component anomaly codes and corresponding component names, which correspond to the general components of the target vehicle under each vehicle type respectively;
the information collection module is used for collecting the information monitored by the component monitoring module so as to obtain a corresponding information collection result; wherein the information collection result comprises information collection sub-items of the general target vehicle component, which correspond to the types of the vehicles respectively; the information collection sub-item comprises the component anomaly code, the component name and the corresponding vehicle type under the corresponding vehicle type;
the fault retrieval module is used for carrying out matching retrieval on a preset fault information database by utilizing the information collection result so as to retrieve each fault information corresponding to each information collection sub-item from the preset fault information database and obtain a corresponding fault retrieval result;
the report creating module is used for dividing the fault searching result according to the vehicle type to obtain each fault searching sub-result corresponding to each vehicle type, and generating each fault diagnosis report corresponding to different vehicle types of the general component of the target vehicle based on each fault searching sub-result.
Optionally, the component determining module includes:
and a component detection unit configured to detect all vehicle-general components in a failed target vehicle to determine a target component causing the failure of the target vehicle, and determine the target component as a target vehicle-general component to be detected.
Optionally, the component monitoring module includes:
a code crawling unit for crawling component code information of the target vehicle universal component in different types of vehicles through a preset code crawling tool;
and the object code acquisition sub-module is used for extracting the component abnormal codes and the corresponding component names of the general component of the object vehicle under each vehicle type from the component code information through a preset code information extraction tool.
Optionally, the preset fault information database is a database which is arranged on a remote server and records all component information of all general components of each vehicle; the all-part information comprises part names and corresponding part anomaly codes of all vehicle universal parts under all vehicle types and corresponding fault information.
Optionally, the fault retrieval module includes:
a name sending unit, configured to send the component name to the preset remote server;
and the fault retrieval unit is used for determining each fault information corresponding to the part name from the preset part fault condition storage library on the preset remote server so as to obtain a corresponding fault retrieval result.
Optionally, the fault retrieval module includes:
the fault code sending unit is used for sending the component abnormal code to a preset remote server;
the fault retrieval unit is used for determining all abnormal codes containing the abnormal codes of the components from the preset component fault condition storage library on the preset remote server;
and the fault condition determining unit is used for determining the part names and corresponding fault information under each vehicle type based on the all abnormal codes so as to obtain corresponding fault retrieval results.
In a second aspect, the present application discloses a vehicle universal component fault diagnosis method, comprising:
determining a target vehicle universal component to be detected;
monitoring the general parts of the target vehicle in different types of vehicles to obtain part abnormal codes and corresponding part names corresponding to the general parts of the target vehicle under each vehicle type, and collecting the monitored information to obtain corresponding information collection results; wherein the information collection result comprises information collection sub-items of the general target vehicle component, which correspond to the types of the vehicles respectively; the information collection sub-item comprises the component anomaly code, the component name and the corresponding vehicle type under the corresponding vehicle type;
performing matching search on a preset fault information database by using the information collection result to search out each fault information corresponding to each information collection sub-item from the preset fault information database so as to obtain a corresponding fault search result;
dividing the fault search result according to the vehicle type to obtain fault search sub-results corresponding to the vehicle types, and respectively generating fault diagnosis reports corresponding to different vehicle types of the general-purpose part of the target vehicle based on the fault search sub-results.
Optionally, the monitoring the general-purpose component of the target vehicle in the different types of vehicles to obtain component anomaly codes and corresponding component names of the general-purpose component of the target vehicle under each vehicle type respectively includes:
crawling part code information of the general parts of the target vehicle in different types of vehicles through a preset code crawling tool;
and extracting the component anomaly codes and the corresponding component names of the general components of the target vehicle under each vehicle type from the component code information through a preset code information extraction tool.
In a third aspect, the present application discloses an electronic device comprising:
a memory for storing a computer program;
and a processor for executing the computer program to implement the aforementioned vehicle universal component fault diagnosis method.
In a fourth aspect, the present application discloses a computer-readable storage medium storing a computer program which, when executed by a processor, implements the foregoing vehicle universal component fault diagnosis method.
It is seen that the present application discloses a vehicle universal component fault diagnosis device, a component determination module for determining a target vehicle universal component to be detected; the component monitoring module is used for monitoring the general components of the target vehicle in different types of vehicles to obtain component anomaly codes and corresponding component names, which correspond to the general components of the target vehicle under each vehicle type respectively; the information collection module is used for collecting the information monitored by the component monitoring module so as to obtain a corresponding information collection result; wherein the information collection result comprises information collection sub-items of the general target vehicle component, which correspond to the types of the vehicles respectively; the information collection sub-item comprises the component anomaly code, the component name and the corresponding vehicle type under the corresponding vehicle type; the fault retrieval module is used for carrying out matching retrieval on a preset fault information database by utilizing the information collection result so as to retrieve each fault information corresponding to each information collection sub-item from the preset fault information database and obtain a corresponding fault retrieval result; the report creating module is used for dividing the fault searching result according to the vehicle type to obtain each fault searching sub-result corresponding to each vehicle type, and generating each fault diagnosis report corresponding to different vehicle types of the general component of the target vehicle based on each fault searching sub-result. That is, by analyzing the vehicle general-purpose component, fault information of the target vehicle general-purpose component that may exist under different vehicle types is obtained, so as to determine all possible fault conditions of the target vehicle general-purpose component, and a corresponding fault report is generated based on all fault conditions. In this way, the condition of the target vehicle universal component can be better analyzed to realize the management of the vehicle component.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic view of a vehicle universal component fault diagnosis apparatus disclosed herein;
FIG. 2 is a flow chart of a method for diagnosing faults of a general component of a vehicle disclosed in the present application;
fig. 3 is a block diagram of an electronic device disclosed in the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The vehicle diagnosis report is a fault code obtained by detecting the fault of the vehicle by the detecting equipment, and the vehicle diagnosis report is generated according to the fault code, wherein the fault code and the fault are in one-to-one correspondence with each other. In practice, there may be inaccuracy. Accordingly, in order to improve the accuracy of diagnosis of a failed vehicle component and to improve the comprehensiveness of analysis of the component failure condition, the present application will specifically introduce a vehicle general-purpose component failure diagnosis apparatus.
Referring to fig. 1, an embodiment of the present application discloses a vehicle general-purpose component failure diagnosis apparatus, including:
the component determining module 11 is configured to determine a target vehicle universal component to be detected.
In this embodiment, the component determining module 11 includes: and a component detection unit configured to detect all vehicle-general components in a failed target vehicle to determine a target component causing the failure of the target vehicle, and determine the target component as a target vehicle-general component to be detected. That is, when a vehicle fails, it is first necessary to locate, by the preset-apparatus detecting device, a vehicle component that causes the vehicle to fail, and to determine the target component as a target vehicle-universal component to be detected.
The component monitoring module 12 is configured to monitor the target vehicle universal component in different types of vehicles, so as to obtain component anomaly codes and corresponding component names of the target vehicle universal component under each vehicle type.
In this embodiment, the component monitoring module 12 includes: a code crawling unit for crawling component code information of the target vehicle universal component in different types of vehicles through a preset code crawling tool; and the object code acquisition sub-module is used for extracting the component abnormal codes and the corresponding component names of the general component of the object vehicle under each vehicle type from the component code information through a preset code information extraction tool. Namely, the codes of the general parts of the target vehicle in different types of vehicles are crawled through a preset code crawling tool to acquire the part code information of the general parts of the target vehicle, then the part code information is analyzed through a preset code information extracting tool, and part abnormal codes corresponding to the general parts of the target vehicle respectively under each vehicle type are extracted from the part code information and corresponding part names are determined.
The information collection module 13 is configured to collect information monitored by the component monitoring module, so as to obtain a corresponding information collection result; wherein the information collection result comprises information collection sub-items of the general target vehicle component, which correspond to the types of the vehicles respectively; the information collection sub-item includes the component anomaly code, the component name, and the corresponding vehicle type for the corresponding vehicle type.
In this embodiment, the obtained component anomaly codes, the component names and the corresponding vehicle types are arranged correspondingly, and classified according to the vehicle types, so as to obtain corresponding information collection results.
The fault searching module 14 is configured to perform matching search on a preset fault information database by using the information collecting result, so as to search each piece of fault information corresponding to each information collecting sub-item from the preset fault information database, and obtain a corresponding fault searching result.
In this embodiment, the preset fault information database is a database set on a remote server, and records all component information of all general components of each vehicle; the all-part information comprises part names and corresponding part anomaly codes of all vehicle universal parts under all vehicle types and corresponding fault information. And collecting fault information of the general vehicle component under different vehicle types by taking the general vehicle component as a core, sorting the fault information, and storing all component information into the preset database in a preset storage format to obtain a preset component fault condition storage library. It should be noted that the service life of the component may be increased, or the fault condition of the same fault code of the same component may be increased in the last 2 years (not limited). Therefore, the remote management of the data can be realized by arranging the preset fault information database on the remote server, and the same database can be used for carrying out the diagnosis operation of the components aiming at different user ends, so that the diagnosis work required before the diagnosis work is carried out is reduced, and the work efficiency of fault diagnosis is further improved.
In one implementation, the fault retrieval module 14 includes: a name sending unit, configured to send the component name to the preset remote server; and the fault retrieval unit is used for determining each fault information corresponding to the part name from the preset part fault condition storage library on the preset remote server so as to obtain a corresponding fault retrieval result. In another implementation, the fault retrieval module 14 includes: the fault code sending unit is used for sending the component abnormal code to a preset remote server; the fault retrieval unit is used for determining all abnormal codes containing the abnormal codes of the components from the preset component fault condition storage library on the preset remote server; and the fault condition determining unit is used for determining the part names and corresponding fault information under each vehicle type based on the all abnormal codes so as to obtain corresponding fault retrieval results. That is, all fault information of the general-purpose target vehicle component may be determined from the preset component fault condition repository on the preset remote server based on the component name or the component abnormality code, where the fault information includes the component name and the corresponding component abnormality code of the general-purpose target vehicle component under each vehicle type and the corresponding fault information.
The report creating module 15 is configured to divide the fault search result according to a vehicle type, obtain each fault search sub-result corresponding to each vehicle type, and generate each fault diagnosis report corresponding to a different vehicle type for the target vehicle general component based on each fault search sub-result.
In this embodiment, after all the fault conditions of the general-purpose target vehicle component are obtained, the general-purpose target vehicle component may be used as a core, the all the fault conditions are classified according to different vehicle types, and then a fault diagnosis report of the general-purpose target vehicle component under different vehicle types is obtained according to the classification result.
It can be seen that this embodiment discloses a vehicle universal component fault diagnosis device, a component determination module for determining a target vehicle universal component to be detected; the component monitoring module is used for monitoring the general components of the target vehicle in different types of vehicles to obtain component anomaly codes and corresponding component names, which correspond to the general components of the target vehicle under each vehicle type respectively; the information collection module is used for collecting the information monitored by the component monitoring module so as to obtain a corresponding information collection result; wherein the information collection result comprises information collection sub-items of the general target vehicle component, which correspond to the types of the vehicles respectively; the information collection sub-item comprises the component anomaly code, the component name and the corresponding vehicle type under the corresponding vehicle type; the fault retrieval module is used for carrying out matching retrieval on a preset fault information database by utilizing the information collection result so as to retrieve each fault information corresponding to each information collection sub-item from the preset fault information database and obtain a corresponding fault retrieval result; the report creating module is used for dividing the fault searching result according to the vehicle type to obtain each fault searching sub-result corresponding to each vehicle type, and generating each fault diagnosis report corresponding to different vehicle types of the general component of the target vehicle based on each fault searching sub-result. That is, by analyzing the vehicle general-purpose component, fault information of the target vehicle general-purpose component that may exist under different vehicle types is obtained, so as to determine all possible fault conditions of the target vehicle general-purpose component, and a corresponding fault report is generated based on all fault conditions. In this way, the condition of the target vehicle universal component can be better analyzed to realize the management of the vehicle component.
As described with reference to fig. 2, the embodiment of the application further correspondingly discloses a method for diagnosing faults of general components of a vehicle, which includes:
step S11: a target vehicle generic part to be detected is determined.
Step S12: monitoring the general parts of the target vehicle in different types of vehicles to obtain part abnormal codes and corresponding part names corresponding to the general parts of the target vehicle under each vehicle type, and collecting the monitored information to obtain corresponding information collection results; wherein the information collection result comprises information collection sub-items of the general target vehicle component, which correspond to the types of the vehicles respectively; the information collection sub-item includes the component anomaly code, the component name, and the corresponding vehicle type for the corresponding vehicle type.
Step S13: and carrying out matching search on a preset fault information database by using the information collection result so as to search out each fault information corresponding to each information collection sub-item from the preset fault information database, thereby obtaining a corresponding fault search result.
Step S14: dividing the fault search result according to the vehicle type to obtain fault search sub-results corresponding to the vehicle types, and respectively generating fault diagnosis reports corresponding to different vehicle types of the general-purpose part of the target vehicle based on the fault search sub-results.
It can be seen that the target vehicle generic part to be detected is first determined; monitoring the general parts of the target vehicle in different types of vehicles to obtain part abnormal codes and corresponding part names corresponding to the general parts of the target vehicle under each vehicle type, and collecting the monitored information to obtain corresponding information collection results; wherein the information collection result comprises information collection sub-items of the general target vehicle component, which correspond to the types of the vehicles respectively; the information collection sub-item comprises the component anomaly code, the component name and the corresponding vehicle type under the corresponding vehicle type; performing matching search on a preset fault information database by using the information collection result to search out each fault information corresponding to each information collection sub-item from the preset fault information database so as to obtain a corresponding fault search result; dividing the fault search result according to the vehicle type to obtain fault search sub-results corresponding to the vehicle types, and respectively generating fault diagnosis reports corresponding to different vehicle types of the general-purpose part of the target vehicle based on the fault search sub-results. In this way, the condition of the target vehicle universal component can be better analyzed to realize the management of the vehicle component.
Further, the embodiment of the present application further discloses an electronic device, and fig. 3 is a block diagram of the electronic device 20 according to an exemplary embodiment, where the content of the figure is not to be considered as any limitation on the scope of use of the present application.
Fig. 3 is a schematic structural diagram of an electronic device 20 according to an embodiment of the present application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input output interface 25, and a communication bus 26. Wherein the memory 22 is used for storing a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the vehicle universal component fault diagnosis method disclosed in any of the foregoing embodiments. In addition, the electronic device 20 in the present embodiment may be specifically an electronic computer.
In this embodiment, the power supply 23 is configured to provide an operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and an external device, and the communication protocol to be followed is any communication protocol applicable to the technical solution of the present application, which is not specifically limited herein; the input/output interface 25 is used for acquiring external input data or outputting external output data, and the specific interface type thereof may be selected according to the specific application requirement, which is not limited herein.
The memory 22 may be a carrier for storing resources, such as a read-only memory, a random access memory, a magnetic disk, or an optical disk, and the resources stored thereon may include an operating system 221, a computer program 222, and the like, and the storage may be temporary storage or permanent storage.
The operating system 221 is used for managing and controlling various hardware devices on the electronic device 20 and computer programs 222, which may be Windows Server, netware, unix, linux, etc. The computer program 222 may further include a computer program that can be used to perform other specific tasks in addition to the computer program that can be used to perform the vehicle general-purpose component failure diagnosis method performed by the electronic device 20 disclosed in any of the foregoing embodiments.
Further, the application also discloses a computer readable storage medium for storing a computer program; wherein the computer program, when executed by the processor, implements the vehicle universal component fault diagnosis method disclosed previously. For specific steps of the method, reference may be made to the corresponding contents disclosed in the foregoing embodiments, and no further description is given here.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, so that the same or similar parts between the embodiments are referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing has outlined the detailed description of the preferred embodiment of the present application, and the detailed description of the principles and embodiments of the present application has been provided herein by way of example only to facilitate the understanding of the method and core concepts of the present application; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Claims (10)
1. A vehicle universal component failure diagnosis apparatus, characterized by comprising:
the component determining module is used for determining a universal component of the target vehicle to be detected;
the component monitoring module is used for monitoring the general components of the target vehicle in different types of vehicles to obtain component anomaly codes and corresponding component names, which correspond to the general components of the target vehicle under each vehicle type respectively;
the information collection module is used for collecting the information monitored by the component monitoring module so as to obtain a corresponding information collection result; wherein the information collection result comprises information collection sub-items of the general target vehicle component, which correspond to the types of the vehicles respectively; the information collection sub-item comprises the component anomaly code, the component name and the corresponding vehicle type under the corresponding vehicle type;
the fault retrieval module is used for carrying out matching retrieval on a preset fault information database by utilizing the information collection result so as to retrieve each fault information corresponding to each information collection sub-item from the preset fault information database and obtain a corresponding fault retrieval result;
the report creating module is used for dividing the fault searching result according to the vehicle type to obtain each fault searching sub-result corresponding to each vehicle type, and generating each fault diagnosis report corresponding to different vehicle types of the general component of the target vehicle based on each fault searching sub-result.
2. The vehicle universal component fault diagnosis apparatus according to claim 1, wherein the component determination module includes:
and a component detection unit configured to detect all vehicle-general components in a failed target vehicle to determine a target component causing the failure of the target vehicle, and determine the target component as a target vehicle-general component to be detected.
3. The vehicle universal component fault diagnosis apparatus according to claim 1, wherein the component monitoring module comprises:
a code crawling unit for crawling component code information of the target vehicle universal component in different types of vehicles through a preset code crawling tool;
and the object code acquisition sub-module is used for extracting the component abnormal codes and the corresponding component names of the general component of the object vehicle under each vehicle type from the component code information through a preset code information extraction tool.
4. A vehicle universal component fault diagnosis apparatus according to any one of claims 1 to 3, wherein the preset fault information database is a database provided on a remote server, which records all component information of each vehicle universal component; the all-part information comprises part names and corresponding part anomaly codes of all vehicle universal parts under all vehicle types and corresponding fault information.
5. The vehicle universal component fault diagnosis device according to claim 4, wherein the fault retrieval module comprises:
a name sending unit, configured to send the component name to the preset remote server;
and the fault retrieval unit is used for determining each fault information corresponding to the part name from the preset part fault condition storage library on the preset remote server so as to obtain a corresponding fault retrieval result.
6. The vehicle universal component fault diagnosis device according to claim 4, wherein the fault retrieval module comprises:
the fault code sending unit is used for sending the component abnormal code to a preset remote server;
the fault retrieval unit is used for determining all abnormal codes containing the abnormal codes of the components from the preset component fault condition storage library on the preset remote server;
and the fault condition determining unit is used for determining the part names and corresponding fault information under each vehicle type based on the all abnormal codes so as to obtain corresponding fault retrieval results.
7. A vehicle universal component fault diagnosis method, characterized by comprising:
determining a target vehicle universal component to be detected;
monitoring the general parts of the target vehicle in different types of vehicles to obtain part abnormal codes and corresponding part names corresponding to the general parts of the target vehicle under each vehicle type, and collecting the monitored information to obtain corresponding information collection results; wherein the information collection result comprises information collection sub-items of the general target vehicle component, which correspond to the types of the vehicles respectively; the information collection sub-item comprises the component anomaly code, the component name and the corresponding vehicle type under the corresponding vehicle type;
performing matching search on a preset fault information database by using the information collection result to search out each fault information corresponding to each information collection sub-item from the preset fault information database so as to obtain a corresponding fault search result;
dividing the fault search result according to the vehicle type to obtain fault search sub-results corresponding to the vehicle types, and respectively generating fault diagnosis reports corresponding to different vehicle types of the general-purpose part of the target vehicle based on the fault search sub-results.
8. The vehicle universal component fault diagnosis method according to claim 7, wherein the monitoring the target vehicle universal component in different types of vehicles to obtain a component abnormality code and a corresponding component name of the target vehicle universal component respectively corresponding to each vehicle type comprises:
crawling part code information of the general parts of the target vehicle in different types of vehicles through a preset code crawling tool;
and extracting the component anomaly codes and the corresponding component names of the general components of the target vehicle under each vehicle type from the component code information through a preset code information extraction tool.
9. An electronic device, comprising:
a memory for storing a computer program;
a processor for executing the computer program to implement the vehicle general-purpose component failure diagnosis method according to claim 7 or 8.
10. A computer-readable storage medium storing a computer program which, when executed by a processor, implements the vehicle universal component fault diagnosis method according to claim 7 or 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410192410.4A CN117873045A (en) | 2024-02-20 | 2024-02-20 | Device, method, equipment and storage medium for diagnosing faults of general components of vehicle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410192410.4A CN117873045A (en) | 2024-02-20 | 2024-02-20 | Device, method, equipment and storage medium for diagnosing faults of general components of vehicle |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117873045A true CN117873045A (en) | 2024-04-12 |
Family
ID=90577764
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410192410.4A Pending CN117873045A (en) | 2024-02-20 | 2024-02-20 | Device, method, equipment and storage medium for diagnosing faults of general components of vehicle |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117873045A (en) |
-
2024
- 2024-02-20 CN CN202410192410.4A patent/CN117873045A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2021179574A1 (en) | Root cause localization method, device, computer apparatus, and storage medium | |
| CN106874187B (en) | Code coverage rate collection method and device | |
| CN112631913B (en) | Method, device, equipment and storage medium for monitoring operation faults of application program | |
| CN109684847B (en) | Automatic repairing method, device, equipment and storage medium for script loopholes | |
| CN109143094B (en) | Abnormal data detection method and device for power battery | |
| CN102053906A (en) | System and method for collecting program runtime information | |
| CN110489314A (en) | Model method for detecting abnormality, device, computer equipment and storage medium | |
| CN111478889B (en) | Alarm method and device | |
| CN111452658A (en) | Charging pile health state monitoring and diagnosing method and device and terminal equipment | |
| KR102269286B1 (en) | the automatic monitoring system for annotation | |
| CN113608969A (en) | Service system operation monitoring system and method | |
| CN115357418A (en) | Microservice fault detection method and device, storage medium and computer equipment | |
| CN115801372A (en) | Link tracking method and device | |
| CN110888782B (en) | Device processing method, system, electronic device and computer readable storage medium | |
| CN113392000A (en) | Test case execution result analysis method, device, equipment and storage medium | |
| CN111413952B (en) | Robot fault detection method and device, electronic equipment and readable storage medium | |
| CN117873045A (en) | Device, method, equipment and storage medium for diagnosing faults of general components of vehicle | |
| CN118051043A (en) | Whole vehicle detection method, device, equipment and storage medium | |
| CN109254919B (en) | Embedded software diagnosis system and method | |
| CN112799957A (en) | User behavior based fault handling method, system, device and medium | |
| CN114937316B (en) | Software fault detection method, device, equipment and medium | |
| CN113037521A (en) | Method for identifying state of communication equipment, communication system and storage medium | |
| CN115293379B (en) | Knowledge graph-based on-orbit spacecraft equipment anomaly detection method | |
| CN113283760B (en) | Case flow analysis report generation method and system | |
| KR102523671B1 (en) | Log-based anomaly detection system of autonomous driving system and its operation method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |