CN118051043A - Whole vehicle detection method, device, equipment and storage medium - Google Patents
Whole vehicle detection method, device, equipment and storage medium Download PDFInfo
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Abstract
The application discloses a method, a device, equipment and a storage medium for detecting a whole vehicle, which relate to the technical field of vehicle fault detection and comprise the following steps: performing whole vehicle detection on a target vehicle to be detected based on a preset whole vehicle detection platform so as to obtain an initial whole vehicle detection result of the target vehicle to be detected; analyzing the initial whole vehicle detection result to determine the vehicle component with the abnormality from all the vehicle components of the target vehicle to be detected so as to determine the target abnormal component; extracting corresponding data codes from all the data codes of the initial whole vehicle detection result to obtain target data codes; and identifying a corresponding abnormal code row from the target data code, and matching all fault types corresponding to the abnormal code row from a pre-established mapping relation database to obtain a final whole vehicle detection result of the target vehicle to be detected. Thus, the cause of the failure of the vehicle can be accurately and comprehensively determined.
Description
Technical Field
The present invention relates to the field of vehicle fault detection technologies, and in particular, to a method, an apparatus, a device, and a storage medium for detecting a vehicle.
Background
The vehicle diagnosis report is a fault code obtained by detecting the fault of the vehicle by the detecting equipment and generating the diagnosis report of the vehicle according to the fault code. In the prior art, only current vehicle information can be generally obtained, and the cause of the vehicle fault is judged according to the current information, so that the obtained cause of the vehicle fault is inaccurate. Therefore, how to obtain a more accurate cause of the vehicle failure is to be solved.
Disclosure of Invention
Accordingly, the present invention is directed to a method, apparatus, device and storage medium for detecting a vehicle, which can determine the cause of a failure of the vehicle more accurately and more comprehensively. The specific scheme is as follows:
In a first aspect, the application discloses a method for detecting a whole vehicle, which comprises the following steps:
Performing whole vehicle detection on a target vehicle to be detected based on a preset whole vehicle detection platform so as to obtain an initial whole vehicle detection result of the target vehicle to be detected; the initial whole vehicle detection result comprises the model information and all data codes of the target vehicle to be detected;
Analyzing the initial whole vehicle detection result to determine the vehicle component with the abnormality from all the vehicle components of the target vehicle to be detected so as to determine the target abnormal component;
extracting data codes corresponding to the target abnormal parts from all the data codes of the initial whole vehicle detection result to obtain target data codes;
Identifying a corresponding abnormal code row from the target data code, and matching all fault types corresponding to the abnormal code row from a pre-established mapping relation database to obtain a final whole vehicle detection result of the target vehicle to be detected; and the final whole vehicle detection result comprises the vehicle type information of the target vehicle to be detected and all fault types.
Optionally, the detecting the whole vehicle for the target to be detected based on the preset whole vehicle detecting platform to obtain an initial whole vehicle detecting result of the target to be detected, including:
collecting vehicle information of a target vehicle to be detected based on a vehicle information extraction tool in a preset whole vehicle detection platform, and acquiring vehicle type information of the target vehicle to be detected from the vehicle information;
And crawling codes of the target vehicle to be detected based on a code crawling tool in the preset whole vehicle detection platform so as to acquire all data codes of the target vehicle to be detected.
Optionally, the analyzing the initial whole vehicle detection result to determine a vehicle component with an abnormality currently occurring in all vehicle components of the target vehicle to be detected includes:
and acquiring current state parameters of all vehicle parts from all the data codes of the initial whole vehicle detection result, and determining whether the corresponding vehicle parts are abnormal vehicle parts or not based on the current state parameters.
Optionally, the extracting the data code corresponding to the target abnormal component from the all data codes of the initial whole vehicle detection result to obtain a target data code includes:
If the number of the target abnormal parts is greater than one, searching the data codes corresponding to the target abnormal parts respectively from all the data codes of the initial whole vehicle detection result based on a parallel search mode so as to obtain corresponding target data codes, and extracting the target data codes from all the data codes.
Optionally, the pre-created mapping relation database is a database for recording mapping relations among all vehicle components of the vehicle type information, all fault types corresponding to all vehicle components, and all abnormal code rows corresponding to all fault types.
Optionally, the identifying the corresponding abnormal code line from the target data code, and matching all fault types corresponding to the abnormal code line from a pre-created mapping relation database includes:
Identifying an abnormal code row from the target data code to obtain a first abnormal code row, and extracting target characteristic information of the first abnormal code row;
Retrieving a second abnormal code row corresponding to the target feature information from all the abnormal code rows by utilizing the target feature information;
And determining all fault types corresponding to the first abnormal code row based on the second abnormal code row and the mapping relation database.
In a second aspect, the present application discloses a whole vehicle detection device, including:
The first whole vehicle detection module is used for carrying out whole vehicle detection on a target vehicle to be detected based on a preset whole vehicle detection platform so as to obtain an initial whole vehicle detection result of the target vehicle to be detected; the initial whole vehicle detection result comprises the model information and all data codes of the target vehicle to be detected;
The abnormal part positioning module is used for analyzing the initial whole vehicle detection result to determine the vehicle part with the abnormality from all the vehicle parts of the target vehicle to be detected so as to determine the target abnormal part;
the code extraction module is used for extracting data codes corresponding to the target abnormal component from all the data codes of the initial whole vehicle detection result to obtain a target data code;
The second whole vehicle detection module is used for identifying a corresponding abnormal code row from the target data code, and matching all fault types corresponding to the abnormal code row from a pre-established mapping relation database so as to obtain a final whole vehicle detection result of the target vehicle to be detected; and the final whole vehicle detection result comprises the vehicle type information of the target vehicle to be detected and all fault types.
Optionally, the pre-created mapping relation database is a database for recording mapping relations among all vehicle components of the vehicle type information, all fault types corresponding to all vehicle components, and all abnormal code rows corresponding to all fault types.
In a third aspect, the present application discloses an electronic device, comprising:
A memory for storing a computer program;
And the processor is used for executing the computer program to realize the whole vehicle detection method.
In a fourth aspect, the present application discloses a computer readable storage medium for storing a computer program, where the computer program when executed by a processor implements the foregoing vehicle detection method.
In the application, firstly, the whole vehicle detection is carried out on the target to-be-detected vehicle based on a preset whole vehicle detection platform so as to obtain an initial whole vehicle detection result of the target to-be-detected vehicle; the initial whole vehicle detection result comprises the model information and all data codes of the target vehicle to be detected; analyzing the initial whole vehicle detection result to determine the vehicle component with the abnormality from all the vehicle components of the target vehicle to be detected so as to determine the target abnormal component; extracting data codes corresponding to the target abnormal parts from all the data codes of the initial whole vehicle detection result to obtain target data codes; identifying a corresponding abnormal code row from the target data code, and matching all fault types corresponding to the abnormal code row from a pre-established mapping relation database to obtain a final whole vehicle detection result of the target vehicle to be detected; and the final whole vehicle detection result comprises the vehicle type information of the target vehicle to be detected and all fault types. In this way, after the current vehicle type information and all data codes of the target to-be-detected vehicle are acquired, the target abnormal part causing the vehicle to fail is determined from all data codes, and then analysis is performed based on all failure information of the target abnormal part recorded in the same vehicle type in a preset vehicle failure database, so that a comprehensive vehicle failure detection report corresponding to the target to-be-detected vehicle is generated. In this way, the staff can be assisted to better analyze the specific fault reasons of the target fault components, so as to determine the fault reasons of the vehicle.
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 flow chart of a method for detecting a whole vehicle;
FIG. 2 is a schematic diagram of a whole vehicle detecting device according to the present application;
fig. 3 is a block diagram of an electronic device according to the present disclosure.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
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. Therefore, the application specifically introduces a vehicle fault detection device, which can provide more accurate and comprehensive vehicle detection reports.
Referring to fig. 1, the embodiment of the application discloses a whole vehicle detection method, which comprises the following steps:
Step S11: performing whole vehicle detection on a target vehicle to be detected based on a preset whole vehicle detection platform so as to obtain an initial whole vehicle detection result of the target vehicle to be detected; the initial whole vehicle detection result comprises the model information and all data codes of the target vehicle to be detected.
In this embodiment, the detecting the whole vehicle for the target vehicle to be detected based on the preset whole vehicle detection platform to obtain an initial whole vehicle detection result of the target vehicle to be detected includes: collecting vehicle information of a target vehicle to be detected based on a vehicle information extraction tool in a preset whole vehicle detection platform, and acquiring vehicle type information of the target vehicle to be detected from the vehicle information; and crawling codes of the target vehicle to be detected based on a code crawling tool in the preset whole vehicle detection platform so as to acquire all data codes of the target vehicle to be detected. In other words, the collection of the vehicle information may be performed first by the vehicle information extraction tool, and then the vehicle type information of the target vehicle to be detected may be determined from the collected information. And then, the code crawling tool crawls the vehicle codes of the target vehicle to be detected so as to obtain all the data codes of the target vehicle to be detected.
Step S12: and analyzing the initial whole vehicle detection result to determine the vehicle component with the abnormality from all the vehicle components of the target vehicle to be detected so as to determine the target abnormal component.
In this embodiment, the analyzing the initial whole vehicle detection result to determine a vehicle component with an abnormality currently occurring in all vehicle components of the target vehicle to be detected includes: and acquiring current state parameters of all vehicle parts from all the data codes of the initial whole vehicle detection result, and determining whether the corresponding vehicle parts are abnormal vehicle parts or not based on the current state parameters. That is, the current state parameter of each vehicle component is analyzed to determine whether the corresponding vehicle component is a vehicle component in which an abnormality is currently occurring. For example, if the state parameter of the vehicle characteristic signal indicator is red, and the current state parameter is green, it may be determined that the signal indicator corresponding to the current state parameter is a vehicle component in which an abnormality is currently occurring.
Step S13: and extracting the data codes corresponding to the target abnormal parts from all the data codes of the initial whole vehicle detection result to obtain target data codes.
In this embodiment, the extracting the data code corresponding to the target abnormal component from the all data codes of the initial whole vehicle detection result to obtain a target data code includes: if the number of the target abnormal parts is greater than one, searching the data codes corresponding to the target abnormal parts respectively from all the data codes of the initial whole vehicle detection result based on a parallel search mode so as to obtain corresponding target data codes, and extracting the target data codes from all the data codes. That is, there may be cases where a plurality of failures occur simultaneously for the target vehicle to be detected, and there may be differences in the failure conditions of the failed target abnormal component under different conditions. Therefore, when a plurality of target abnormal parts appear, the data codes corresponding to the target abnormal parts can be obtained through parallel retrieval, so as to obtain corresponding target data codes, and the target data codes are extracted from all the data codes. In this way, the efficiency of vehicle detection can be improved.
Step S14: identifying a corresponding abnormal code row from the target data code, and matching all fault types corresponding to the abnormal code row from a pre-established mapping relation database to obtain a final whole vehicle detection result of the target vehicle to be detected; and the final whole vehicle detection result comprises the vehicle type information of the target vehicle to be detected and all fault types.
In this embodiment, the pre-created mapping relation database is a database for recording mapping relations among all vehicle components of the vehicle type information, all fault types corresponding to all vehicle components, and all abnormal code rows corresponding to all fault types. First, according to the history data, all fault component information of different vehicle components is carried out under the vehicle type. Wherein the faulty component information includes all fault types corresponding to all the vehicle components and all the abnormal code rows corresponding to all the fault types. Further, the faulty component type information may include a service life of the component and a service life of a vehicle of a corresponding vehicle in which the component is installed. And then storing the mapping relation among all vehicle parts of the vehicle type information, all fault types corresponding to all the vehicle parts and all abnormal code rows corresponding to all the fault types into a preset database according to a preset data storage format to obtain a mapping relation database.
In this embodiment, the identifying the corresponding abnormal code line from the target data code, and matching all fault types corresponding to the abnormal code line from a pre-created mapping relation database includes: identifying an abnormal code row from the target data code to obtain a first abnormal code row, and extracting target characteristic information of the first abnormal code row; retrieving a second abnormal code row corresponding to the target feature information from all the abnormal code rows by utilizing the target feature information; and determining all fault types corresponding to the first abnormal code row based on the second abnormal code row and the mapping relation database. That is, after the target data code is obtained, the target data code needs to be analyzed first to identify an abnormal code line in the target data code, and then target feature information is extracted from the abnormal code line. And then, retrieving a second abnormal code row corresponding to the target characteristic information from all abnormal code rows according to the target characteristic information, and determining all fault types included in the vehicle according to the second abnormal code row and the mapping relation database. The final whole vehicle detection result comprises the model information of the target vehicle to be detected and all fault types.
In this embodiment, first, the vehicle to be detected is detected based on a preset vehicle detection platform, so as to obtain an initial vehicle detection result of the target vehicle to be detected; the initial whole vehicle detection result comprises the model information and all data codes of the target vehicle to be detected; analyzing the initial whole vehicle detection result to determine the vehicle component with the abnormality from all the vehicle components of the target vehicle to be detected so as to determine the target abnormal component; extracting data codes corresponding to the target abnormal parts from all the data codes of the initial whole vehicle detection result to obtain target data codes; identifying a corresponding abnormal code row from the target data code, and matching all fault types corresponding to the abnormal code row from a pre-established mapping relation database to obtain a final whole vehicle detection result of the target vehicle to be detected; and the final whole vehicle detection result comprises the vehicle type information of the target vehicle to be detected and all fault types. In this way, after the current vehicle type information and all data codes of the target to-be-detected vehicle are acquired, the target abnormal part causing the vehicle to fail is determined from all data codes, and then analysis is performed based on all failure information of the target abnormal part recorded in the same vehicle type in a preset vehicle failure database, so that a comprehensive vehicle failure detection report corresponding to the target to-be-detected vehicle is generated. In this way, the staff can be assisted to better analyze the specific fault reasons of the target fault components, so as to determine the fault reasons of the vehicle.
As described with reference to fig. 2, the embodiment of the present application further correspondingly discloses a whole vehicle detection device, including:
the first whole vehicle detection module 11 is configured to perform whole vehicle detection on a target vehicle to be detected based on a preset whole vehicle detection platform, so as to obtain an initial whole vehicle detection result of the target vehicle to be detected; the initial whole vehicle detection result comprises the model information and all data codes of the target vehicle to be detected;
The abnormal component positioning module 12 is configured to analyze the initial whole vehicle detection result to determine a vehicle component with an abnormality currently occurring from all vehicle components of the target vehicle to be detected, so as to determine a target abnormal component;
A code extraction module 13, configured to extract a data code corresponding to the target abnormal component from the all data codes of the initial whole vehicle detection result, so as to obtain a target data code;
The second whole vehicle detection module 14 is configured to identify a corresponding abnormal code line from the target data code, and match all fault types corresponding to the abnormal code line from a pre-created mapping relation database, so as to obtain a final whole vehicle detection result of the target vehicle to be detected; and the final whole vehicle detection result comprises the vehicle type information of the target vehicle to be detected and all fault types.
It can be seen that the embodiment discloses a whole vehicle detection device, and in particular discloses whole vehicle detection on a target to-be-detected vehicle based on a preset whole vehicle detection platform, so as to obtain an initial whole vehicle detection result of the target to-be-detected vehicle; the initial whole vehicle detection result comprises the model information and all data codes of the target vehicle to be detected; analyzing the initial whole vehicle detection result to determine the vehicle component with the abnormality from all the vehicle components of the target vehicle to be detected so as to determine the target abnormal component; extracting data codes corresponding to the target abnormal parts from all the data codes of the initial whole vehicle detection result to obtain target data codes; identifying a corresponding abnormal code row from the target data code, and matching all fault types corresponding to the abnormal code row from a pre-established mapping relation database to obtain a final whole vehicle detection result of the target vehicle to be detected; and the final whole vehicle detection result comprises the vehicle type information of the target vehicle to be detected and all fault types. In this way, after the current vehicle type information and all data codes of the target to-be-detected vehicle are acquired, the target abnormal part causing the vehicle to fail is determined from all data codes, and then analysis is performed based on all failure information of the target abnormal part recorded in the same vehicle type in a preset vehicle failure database, so that a comprehensive vehicle failure detection report corresponding to the target to-be-detected vehicle is generated. In this way, the staff can be assisted to better analyze the specific fault reasons of the target fault components, so as to determine the fault reasons of the vehicle.
In some specific embodiments, the first whole vehicle detection module 11 may specifically include:
The vehicle type information collection unit is used for collecting vehicle information of a target vehicle to be detected based on a vehicle information extraction tool in a preset whole vehicle detection platform and acquiring the vehicle type information of the target vehicle to be detected from the vehicle information;
and the code crawling unit is used for crawling codes of the target vehicle to be detected based on a code crawling tool in the preset whole vehicle detection platform so as to acquire all data codes of the target vehicle to be detected.
In some specific embodiments, the abnormal component positioning module 12 may be specifically configured to obtain a current status parameter of each vehicle component from the all data codes of the initial whole vehicle detection result, and determine whether the corresponding vehicle component is a vehicle component with an abnormality currently occurring based on the current status parameter.
In some specific embodiments, the abnormal component positioning module 12 may be specifically configured to, if the number of the target abnormal components is greater than one, search, based on a parallel search method, data codes corresponding to each of the target abnormal components from the all data codes of the initial whole vehicle detection result, so as to obtain corresponding target data codes, and extract each of the target data codes from the all data codes.
In some specific embodiments, the second whole vehicle detection module 14 may specifically include:
the feature information extraction unit is used for identifying an abnormal code row from the target data code to obtain a first abnormal code row and extracting target feature information of the first abnormal code row;
A code line searching unit, configured to search a second abnormal code line corresponding to the target feature information from the all abnormal code lines by using the target feature information;
And the fault type determining unit is used for determining all fault types corresponding to the first abnormal code row based on the second abnormal code row and the mapping relation database. It can be seen that the embodiment discloses a whole vehicle detection device, and in particular discloses whole vehicle detection on a target to-be-detected vehicle based on a preset whole vehicle detection platform, so as to obtain an initial whole vehicle detection result of the target to-be-detected vehicle; the initial whole vehicle detection result comprises the model information and all data codes of the target vehicle to be detected; analyzing the initial whole vehicle detection result to determine the vehicle component with the abnormality from all the vehicle components of the target vehicle to be detected so as to determine the target abnormal component; extracting data codes corresponding to the target abnormal parts from all the data codes of the initial whole vehicle detection result to obtain target data codes; identifying a corresponding abnormal code row from the target data code, and matching all fault types corresponding to the abnormal code row from a pre-established mapping relation database to obtain a final whole vehicle detection result of the target vehicle to be detected; and the final whole vehicle detection result comprises the vehicle type information of the target vehicle to be detected and all fault types. In this way, after the current vehicle type information and all data codes of the target to-be-detected vehicle are acquired, the target abnormal part causing the vehicle to fail is determined from all data codes, and then analysis is performed based on all failure information of the target abnormal part recorded in the same vehicle type in a preset vehicle failure database, so that a comprehensive vehicle failure detection report corresponding to the target to-be-detected vehicle is generated. In this way, the staff can be assisted to better analyze the specific fault reasons of the target fault components, so as to determine the fault reasons of the vehicle.
Further, the embodiment of the present application further discloses an electronic device, and fig. 3 is a block diagram of an 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. The memory 22 is configured to store a computer program, where the computer program is loaded and executed by the processor 21 to implement relevant steps in the whole vehicle detection 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 the computer program 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 entire vehicle detection 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; the computer program, when executed by the processor, implements the whole vehicle detection method disclosed above. 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 rather broadly the more detailed description of the application in order that the detailed description of the application that follows may be better understood, and in order that the present principles and embodiments may be better understood; meanwhile, as those skilled in the art will have variations 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. The whole vehicle detection method is characterized by comprising the following steps of:
Performing whole vehicle detection on a target vehicle to be detected based on a preset whole vehicle detection platform so as to obtain an initial whole vehicle detection result of the target vehicle to be detected; the initial whole vehicle detection result comprises the model information and all data codes of the target vehicle to be detected;
Analyzing the initial whole vehicle detection result to determine the vehicle component with the abnormality from all the vehicle components of the target vehicle to be detected so as to determine the target abnormal component;
extracting data codes corresponding to the target abnormal parts from all the data codes of the initial whole vehicle detection result to obtain target data codes;
Identifying a corresponding abnormal code row from the target data code, and matching all fault types corresponding to the abnormal code row from a pre-established mapping relation database to obtain a final whole vehicle detection result of the target vehicle to be detected; and the final whole vehicle detection result comprises the vehicle type information of the target vehicle to be detected and all fault types.
2. The vehicle detection method according to claim 1, wherein the performing vehicle detection on the target vehicle to be detected based on the preset vehicle detection platform to obtain an initial vehicle detection result of the target vehicle to be detected includes:
collecting vehicle information of a target vehicle to be detected based on a vehicle information extraction tool in a preset whole vehicle detection platform, and acquiring vehicle type information of the target vehicle to be detected from the vehicle information;
And crawling codes of the target vehicle to be detected based on a code crawling tool in the preset whole vehicle detection platform so as to acquire all data codes of the target vehicle to be detected.
3. The vehicle detection method according to claim 1, wherein the analyzing the initial vehicle detection result to determine a vehicle component having an abnormality currently occurring from all vehicle components of the target vehicle to be detected includes:
and acquiring current state parameters of all vehicle parts from all the data codes of the initial whole vehicle detection result, and determining whether the corresponding vehicle parts are abnormal vehicle parts or not based on the current state parameters.
4. The vehicle detection method according to claim 3, wherein the extracting the data code corresponding to the target abnormal part from the total data codes of the initial vehicle detection result to obtain a target data code includes:
If the number of the target abnormal parts is greater than one, searching the data codes corresponding to the target abnormal parts respectively from all the data codes of the initial whole vehicle detection result based on a parallel search mode so as to obtain corresponding target data codes, and extracting the target data codes from all the data codes.
5. The entire vehicle detection method according to any one of claims 1 to 4, characterized in that the pre-created map database is a database for recording the map relationship among all vehicle components of the vehicle type information, all fault types corresponding to all the vehicle components, and all abnormal code rows corresponding to all the fault types.
6. The vehicle detection method according to claim 5, wherein the identifying the corresponding abnormal code line from the target data code and matching all fault types corresponding to the abnormal code line from a pre-created mapping relation database includes:
Identifying an abnormal code row from the target data code to obtain a first abnormal code row, and extracting target characteristic information of the first abnormal code row;
Retrieving a second abnormal code row corresponding to the target feature information from all the abnormal code rows by utilizing the target feature information;
And determining all fault types corresponding to the first abnormal code row based on the second abnormal code row and the mapping relation database.
7. The utility model provides a whole car detection device which characterized in that includes:
The first whole vehicle detection module is used for carrying out whole vehicle detection on a target vehicle to be detected based on a preset whole vehicle detection platform so as to obtain an initial whole vehicle detection result of the target vehicle to be detected; the initial whole vehicle detection result comprises the model information and all data codes of the target vehicle to be detected;
The abnormal part positioning module is used for analyzing the initial whole vehicle detection result to determine the vehicle part with the abnormality from all the vehicle parts of the target vehicle to be detected so as to determine the target abnormal part;
the code extraction module is used for extracting data codes corresponding to the target abnormal component from all the data codes of the initial whole vehicle detection result to obtain a target data code;
The second whole vehicle detection module is used for identifying a corresponding abnormal code row from the target data code, and matching all fault types corresponding to the abnormal code row from a pre-established mapping relation database so as to obtain a final whole vehicle detection result of the target vehicle to be detected; and the final whole vehicle detection result comprises the vehicle type information of the target vehicle to be detected and all fault types.
8. The complete vehicle detection apparatus according to claim 7, wherein the pre-created map database is a database for recording a map relationship among all vehicle components of the vehicle type information, all fault types corresponding to all the vehicle components, and all abnormal code rows corresponding to all the fault types.
9. An electronic device, comprising:
A memory for storing a computer program;
Processor for executing the computer program to implement the whole vehicle detection method as claimed in any one of claims 1 to 6.
10. A computer-readable storage medium storing a computer program which, when executed by a processor, implements the whole vehicle detection method according to any one of claims 1 to 6.
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