CN110990519A - Vehicle fault diagnosis method and device, electronic equipment and storage medium - Google Patents
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Abstract
The application discloses a vehicle fault diagnosis method, a vehicle fault diagnosis device, electronic equipment and a storage medium, wherein the vehicle fault diagnosis method is applied to the electronic equipment, and the method comprises the following steps: acquiring fault information of a vehicle; extracting keywords corresponding to the fault information according to the fault information; acquiring fault problems corresponding to the keywords from a vehicle fault database according to the keywords; sorting the fault problems according to the matching degree of the fault problems and the keywords and displaying the sorted fault problems; acquiring a fault selection instruction, wherein the fault selection instruction is an instruction generated after a user selects a corresponding fault problem; and acquiring a corresponding fault solution from the vehicle fault database according to the fault selection instruction, and displaying the fault solution.
Description
Technical Field
The present disclosure relates to the field of vehicle fault analysis technologies, and in particular, to a vehicle fault diagnosis method and apparatus, an electronic device, and a storage medium.
Background
With the continuous improvement of the living standard of people, vehicles become an important part of the life of people, unexpected faults can occur when the vehicles are used, and automobile manufacturers or professional maintenance organizations of the vehicles provide the services of online consultation of automobile fault diagnosis for better service customers.
However, when a vehicle owner consults a professional maintenance organization about a problem of a fault, the problem is described too much and waiting time is long when the user raises the problem due to the fact that the vehicle types, the vehicle parts and the fault problem are diversified, and therefore the problem of waste of time cost is caused.
Therefore, how to realize fast and accurate analysis of vehicle faults so that the vehicle owner can obtain a better solution is a popular topic being researched by those skilled in the art.
Disclosure of Invention
The application mainly aims to provide a vehicle fault diagnosis method and device, electronic equipment and a storage medium, and aims to realize rapid and accurate analysis of vehicle faults.
In order to achieve the above object, the present application provides a vehicle fault diagnosis method applied to an electronic device, the method including:
acquiring fault information of a vehicle;
extracting keywords corresponding to the fault information according to the fault information;
acquiring fault problems corresponding to the keywords from a vehicle fault database according to the keywords;
sorting the fault problems according to the matching degree of the fault problems and the keywords and displaying the sorted fault problems;
acquiring a fault selection instruction, wherein the fault selection instruction is an instruction generated after a user selects a corresponding fault problem;
and acquiring a corresponding fault solution from the vehicle fault database according to the fault selection instruction, and displaying the fault solution.
Preferably, the fault information includes vehicle type information and fault problem description information, the keywords include vehicle type keywords and fault problem keywords, and extracting the keywords corresponding to the fault information according to the fault information includes:
extracting corresponding vehicle type keywords according to the vehicle type information;
and extracting corresponding fault problem keywords according to the fault problem description information.
Preferably, the fault information includes vehicle type information, fault location information and fault problem description information, the keywords include vehicle type keywords, fault location keywords and fault problem keywords, and extracting the keywords corresponding to the fault information according to the fault information includes:
extracting corresponding vehicle type keywords according to the vehicle type information;
extracting corresponding fault part keywords according to the fault part information;
and extracting corresponding fault problem keywords according to the fault problem description information.
Preferably, the fault location information is a fault location picture, and extracting the corresponding fault location keyword according to the fault location information includes:
extracting picture characteristics of the fault part picture;
and identifying the vehicle fault part corresponding to the fault part picture according to the picture characteristics so as to extract the corresponding fault part keyword.
Preferably, the method further comprises:
acquiring evaluation information, wherein the evaluation information is information for evaluating the accuracy of the fault solution by a user;
and adjusting the mapping relation between the keywords and the fault problems in the vehicle fault database according to the evaluation information.
Preferably, before the acquiring the fault information of the vehicle, the method further includes:
obtaining sample fault information of a vehicle;
acquiring a sample keyword and a fault solution corresponding to the sample fault information, wherein the sample keyword is a word for describing the sample fault information;
setting the weight of the sample keywords, and establishing the mapping relation among the sample fault information, the sample keywords and the fault solution to form a vehicle fault database.
The present application further provides a vehicle fault diagnosis device applied to an electronic apparatus, the vehicle fault diagnosis device including:
the information acquisition module is used for acquiring the fault information of the vehicle;
the keyword module is used for extracting keywords corresponding to the fault information according to the fault information;
the problem searching module is used for acquiring fault problems corresponding to the keywords from a vehicle fault database according to the keywords;
the problem display module is used for sequencing the fault problems according to the matching degree of the fault problems and the keywords and displaying the sequenced fault problems;
the instruction acquisition module is used for acquiring a fault selection instruction, wherein the fault selection instruction is an instruction generated after a user selects a corresponding fault problem;
and the scheme display module is used for acquiring a corresponding fault solution from the vehicle fault database according to the fault selection instruction and displaying the fault solution.
Preferably, the fault information includes vehicle type information and fault problem description information, the keywords include vehicle type keywords and fault problem keywords, and the keyword module is further configured to:
extracting corresponding vehicle type keywords according to the vehicle type information;
and extracting corresponding fault problem keywords according to the fault problem description information.
Preferably, the fault information includes vehicle type information, fault location information and fault problem description information, the keywords include a vehicle type keyword, a fault location keyword and a fault problem keyword, and the keyword module is further configured to:
extracting corresponding vehicle type keywords according to the vehicle type information;
extracting corresponding fault part keywords according to the fault part information;
and extracting corresponding fault problem keywords according to the fault problem description information.
Preferably, the failure location information is a failure location picture, and the keyword module is further configured to:
extracting picture characteristics of the fault part picture;
and identifying the vehicle fault part corresponding to the fault part picture according to the picture characteristics so as to extract the corresponding fault part keyword.
Preferably, the vehicle failure diagnosis apparatus further includes an evaluation acquisition module configured to:
acquiring evaluation information, wherein the evaluation information is information for evaluating the accuracy of the fault solution by a user;
and adjusting the mapping relation between the keywords and the fault problems in the vehicle fault database according to the evaluation information.
Preferably, the vehicle fault diagnosis device further includes a database module for:
obtaining sample fault information of a vehicle;
acquiring a sample keyword and a fault solution corresponding to the sample fault information, wherein the sample keyword is a word for describing the sample fault information;
setting the weight of the sample keywords, and establishing the mapping relation among the sample fault information, the sample keywords and the fault solution to form a vehicle fault database.
The present application further provides an electronic device, the electronic device further includes:
a memory for storing a computer-executable vehicle fault diagnosis program;
the processor is used for calling the vehicle fault diagnosis program stored in the memory to execute the vehicle fault diagnosis method.
The application also provides a storage medium, the storage medium stores a vehicle fault diagnosis program which can be executed by a computer, and a processor can execute the vehicle fault diagnosis method when calling the vehicle fault diagnosis program.
Compared with the prior art, the vehicle fault diagnosis method provided by the application carries out keyword extraction on the acquired fault information by acquiring the fault information of the vehicle so as to acquire the corresponding keyword of the fault information, carries out fault problem retrieval on preset vehicle fault data by using the acquired keyword so as to acquire the fault problems related to the keyword, sorts the related fault problems according to the matching degree of the fault problems and the keyword and displays the sorted fault problems, so that a user can conveniently and accurately and quickly acquire the fault problems related to the provided fault information, and a solution is sought according to the corresponding fault problems.
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FIG. 1 is a flow chart of steps of a vehicle fault diagnostic method provided herein;
FIG. 2A is a flowchart illustrating sub-steps of one embodiment of step S2 of FIG. 1;
FIG. 2B is a flowchart illustrating sub-steps of another embodiment of step S2 in FIG. 1;
FIG. 3 is a schematic diagram of data sets in a vehicle fault database;
fig. 4 is a block diagram illustrating a configuration of a vehicle failure diagnosis apparatus according to an embodiment of the present application;
fig. 5 is a block diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that the descriptions in this application referring to "first", "second", etc. are for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present application.
The application provides a vehicle fault diagnosis method, a vehicle fault diagnosis device, electronic equipment and a storage medium, wherein the method is applied to the electronic equipment and comprises the following steps: acquiring fault information of a vehicle; extracting keywords corresponding to the fault information according to the fault information; acquiring fault problems corresponding to the keywords from a vehicle fault database according to the keywords; sorting the fault problems according to the matching degree of the fault problems and the keywords and displaying the sorted fault problems; acquiring a fault selection instruction, wherein the fault selection instruction is an instruction generated after a user selects a corresponding fault problem; and acquiring a corresponding fault solution from the vehicle fault database according to the fault selection instruction, and displaying the fault solution.
According to the fault information processing method and device, the fault information of the vehicle is acquired, keyword extraction is carried out on the acquired fault information to obtain the corresponding keyword of the fault information, fault problem retrieval is carried out on preset vehicle fault data by utilizing the acquired keyword, fault problems related to the keyword are obtained, the related fault problems are sequenced according to the matching degree of the fault problems and the keyword, the sequenced fault problems are displayed, the fault problems related to the fault information are conveniently and accurately and quickly obtained by a user, and a solution is sought according to the corresponding fault problems.
Referring to fig. 1, fig. 1 is a flowchart illustrating steps of a vehicle fault diagnosis method provided in the present application, where the vehicle fault diagnosis method is applied to an electronic device, and the electronic device may be a terminal device such as a computer and a tablet, or a server, and the method includes:
step S1: failure information of the vehicle is acquired.
The failure information of a vehicle is information for describing a failure occurring in a certain system or a certain part of a certain vehicle. The fault information comprises at least one of vehicle type information, fault code information, fault part information and fault problem description information.
The Vehicle type information may be a Vehicle Identification Number (VIN) of the Vehicle, the fault code information may be a fault code detected by the Vehicle-mounted diagnostic device, the fault location information may be fault location picture information or video information, and the fault problem description information may be text description information or voice description information.
The obtaining of the fault information of the vehicle may be that the user uploads the fault information of the vehicle to the electronic device, or inputs the fault information of the vehicle to the electronic device through an input device.
Step S2: and extracting keywords corresponding to the fault information according to the fault information.
Referring to fig. 2A, in some embodiments, the fault information includes vehicle type information and fault problem description information, the keywords include vehicle type keywords and fault problem keywords, and extracting the keywords corresponding to the fault information according to the fault information includes:
step S21 a: extracting corresponding vehicle type keywords according to the vehicle type information;
step S22 a: and extracting corresponding fault problem keywords according to the fault problem description information.
Illustratively, the electronic equipment is provided with a vehicle fault database, and the electronic equipment can identify the acquired fault information of the vehicle through the vehicle fault database so as to form a corresponding keyword.
For example, the fault information acquired by the electronic device includes a vehicle VIN code and vehicle fault problem description information, where the vehicle VIN code is: LBVTZ4108KSS 33122; the vehicle fault problem description information is as follows: the steering wheel of the vehicle is off tracking.
The electronic equipment acquires that the fault vehicle is a morning BMW according to the corresponding relation between the VIN code and the vehicle model preset in the electronic equipment; the vehicle type is X3, xTrive 25i luxury suit; the annual money: 2018; discharge capacity: 2.0T.
And describing extracted fault problem keywords according to the vehicle fault problem: "steering wheel" and "off tracking".
The keyword extracted according to the fault information is integrated as follows: "2018 version", "morning BMW", "XDrive 25 i", "2.0T", "steering wheel" and "off tracking".
Referring to fig. 2B, in some embodiments, the fault information includes vehicle type information, fault location information, and fault problem description information, the keywords include a vehicle type keyword, a fault location keyword, and a fault problem keyword, and extracting a keyword corresponding to the fault information according to the fault information includes:
step S21 b: extracting corresponding vehicle type keywords according to the vehicle type information;
step S22 b: extracting corresponding fault part keywords according to the fault part information;
step S23 b: and extracting corresponding fault problem keywords according to the fault problem description information.
The method for extracting the fault part keywords according to the fault part information comprises the following steps:
extracting picture characteristics of the fault part picture;
and identifying the vehicle fault part corresponding to the fault part picture according to the picture characteristics so as to extract the corresponding fault part keyword.
Illustratively, the electronic equipment is provided with a vehicle fault database, and the electronic equipment can identify the acquired fault information of the vehicle through the vehicle fault database so as to form a corresponding keyword.
For example, the fault information acquired by the electronic device includes a vehicle VIN code, fault location information, and vehicle fault problem description information, where the vehicle VIN code is: LBVTZ4108KSS 33122; the fault part information is a fault part picture; the vehicle fault problem description information is as follows: and (6) deviation.
The electronic equipment acquires that the fault vehicle is a morning BMW according to the corresponding relation between the VIN code and the vehicle model preset in the electronic equipment; the vehicle type is X3 xTrive 25i manual-automatic luxury suit; the annual money: 2018; discharge capacity: 2.0T.
Extracting picture characteristics of the fault part picture through an image recognition technology, comparing the obtained picture characteristics with a picture database arranged in the electronic equipment, obtaining a sample picture with the matching degree exceeding a threshold value, obtaining a keyword of the corresponding sample picture according to the sample picture, and taking the keyword as a fault part keyword of the vehicle.
If the fault part picture is identified as the vehicle steering wheel according to the picture characteristics, the correspondingly acquired fault part keywords are as follows: a steering wheel.
And describing extracted fault problem keywords according to the vehicle fault problem: the running deviation is realized.
The keyword extracted according to the fault information is integrated as follows: "2018 version", "morning BMW", "XDrive 25 i", "2.0T", "steering wheel" and "off tracking".
Step S3: and acquiring fault problems corresponding to the keywords from a vehicle fault database according to the keywords.
The vehicle fault database in the electronic equipment stores keywords, fault problems corresponding to the keywords and solutions corresponding to the fault problems, and relevant fault problems corresponding to the keywords and corresponding solutions can be obtained through keyword matching.
As shown in fig. 3, the vehicle fault database stores different kinds of fault problem sets of different vehicle types, each fault problem set corresponds to one kind of fault of one kind of vehicle, that is, each fault problem set includes a plurality of fault problems of related vehicles.
For example, the vehicle fault database includes a first set of fault problems for X-type vehicles and a second set of fault problems for Y-type vehicles, wherein the first set of fault problems includes a set of class a fault problems, a set of class B fault problems, a set of class C fault problems, and a set of class D fault problems.
The second failure problem set comprises a class E failure problem set, a class F failure problem set, a class G failure problem set and a class H failure problem set.
Taking an X-type vehicle as a BMW and taking an A-type fault problem set as a fault problem set related to a steering wheel; the B-type fault problem set is a fault problem set related to the engine; the C-type fault problem set is a vehicle chassis related fault problem set; the D-type fault problem set is a fault problem set related to the vehicle battery and is explained.
The electronic equipment acquires a problem set of fault problems corresponding to the keywords from a vehicle fault database according to the corresponding keywords. If the current fault vehicle is a BMW vehicle and the fault position is a steering wheel according to the keywords, if the keywords comprise an engine, the category A fault problem set is obtained, and if the keywords comprise a chassis, the category B fault problem set is obtained, and the category C fault problem set is obtained.
Step S4: and sequencing the fault problems according to the matching degree of the fault problems and the keywords and displaying the sequenced fault problems.
The electronic equipment extracts keywords to be matched with the sample keywords according to the fault information of the acquired vehicle, sorts the related fault problems in the fault problem set according to the matching degree of the keywords and the sample keywords, sorts the fault problems according to the matching degree of the keywords from high to low, and ranks the fault problems with the highest matching degree with the keywords in the first place.
If the keyword extracted according to the fault information is integrated as follows: "2018 version", "morning BMW", "XDrive 25 i", "2.0T", "steering wheel" and "off tracking".
The electronic device sorts the fault problems according to the matching degree with the keywords on a display screen in communication connection with the electronic device and displays the sorted fault problems, wherein the display screen may be integrated in the electronic device or may be independently arranged, which is not limited herein.
If the following information is displayed on the display screen:
when a user searches a fault problem needing to be consulted, the user can obtain a solution corresponding to the fault problem by clicking the corresponding problem, so that the vehicle fault problem can be quickly and accurately identified, and the corresponding solution can be obtained.
Step S5: and acquiring a fault selection instruction, wherein the fault selection instruction is an instruction generated after a user selects the corresponding fault problem.
And when the user determines that the displayed fault problem is the problem to be consulted, clicking the display screen through the input equipment or the fingers to select the corresponding fault problem so as to obtain the corresponding fault problem solution.
If the currently displayed fault problem is a fault problem which needs to be consulted, a problem switching instruction can be sent to the electronic equipment, wherein the problem switching instruction is an instruction generated after a user selects a corresponding problem switching button, for example, the user clicks a 'change a batch of problems' position.
Step S6: and acquiring a corresponding fault solution from the vehicle fault database according to the fault selection instruction, and displaying the fault solution.
After the fault selection instruction is obtained, the electronic equipment obtains a corresponding fault solution from the vehicle fault database, and displays the fault solution, so that a user can timely know the solution of the relevant fault problem.
Referring to fig. 1, in some embodiments, the method further includes:
step S7: acquiring evaluation information, wherein the evaluation information is information for evaluating the accuracy of the fault solution by a user;
step S8: and adjusting the mapping relation between the keywords and the fault problems in the vehicle fault database according to the evaluation information.
Illustratively, after the user finishes the problem consultation, the accuracy of the fault problem solution obtained by the current consultation can be evaluated, and the electronic equipment adjusts the mapping relation between the keywords and the fault problem in the vehicle fault database according to the corresponding evaluation information.
For example, the keywords extracted according to the fault information are combined as follows: "2018 version", "morning BMW", "XDrive 25 i", "2.0T", "steering wheel" and "off tracking".
If the electronic device displays the following table on the display screen:
namely, the second "the bmw X32018 model 2.0L steering wheel is running off the way" is a trouble problem that the user wants to consult.
If the electronic device identifies that the input fault information of the multiple users is the same or similar, and the corresponding solutions are not arranged in the first time. And if the mapping relation of the fault problems corresponding to the corresponding keywords is wrong, modifying the mapping relation according to the scores of the users so as to enable the keywords and the corresponding fault problem mapping keys to be more accurate.
And after user evaluation, the electronic equipment adjusts the mapping relation between the keywords and the fault problem in the vehicle fault database according to the user evaluation.
When the keywords extracted again according to the fault information are integrated as follows: "2018 version", "morning BMW", "XDrive 25 i", "2.0T", "steering wheel" and "off tracking".
The problem of the modified mapping fault displayed by the electronic device on the display screen is as follows:
through a large amount of dialogue question-answer data accumulation and combined with manual evaluation of interaction completed by a user each time, the electronic equipment enables a system to learn deep self-learning and correct error mapping so as to improve the analysis capability of acquired fault information.
In some embodiments, before the obtaining the fault information of the vehicle, the method further includes:
and constructing a vehicle fault database.
The building of the vehicle fault database specifically comprises the following steps:
obtaining sample fault information of a vehicle;
acquiring a sample keyword and a fault solution corresponding to the sample fault information, wherein the sample keyword is a word for describing the sample fault information;
setting the weight of the sample keywords, and establishing the mapping relation among the sample fault information, the sample keywords and the fault solution to form a vehicle fault database.
Illustratively, the method includes logging sample fault information of the vehicle and logging a fault solution of the sample fault information at the electronic equipment; classifying the sample fault information to form a fault problem set of the corresponding type of vehicle, such as a BMW engine fault problem, a BMW chassis fault problem and a BMW steering wheel fault problem, setting keywords corresponding to the sample fault information, and setting the weights of the sample keywords to establish a mapping relation among the sample fault information, the sample keywords and a fault solution to form a vehicle fault database.
The sample fault information comprises detailed problem description, related fault codes, vehicle type and vehicle serial number information or vehicle VIN code information.
The vehicle fault database can be set such that a user can acquire a fault problem set of a corresponding vehicle type through a keyword with a large weight, and then acquire a fault problem sequence corresponding to a certain fault problem set of a corresponding vehicle with other keywords.
Referring to fig. 4, the present application further provides a vehicle fault diagnosis device 10 applied to an electronic device, where the vehicle fault diagnosis device 10 includes:
the information acquisition module 101 is used for acquiring fault information of the vehicle;
a keyword module 102, configured to extract a keyword corresponding to the fault information according to the fault information;
the problem searching module 103 is used for acquiring fault problems corresponding to the keywords from a vehicle fault database according to the keywords;
a problem display module 104, configured to sort the fault problems according to the matching degrees of the fault problems and the keywords, and display the sorted fault problems;
an instruction obtaining module 105, configured to obtain a fault selection instruction, where the fault selection instruction is an instruction generated after a user selects a corresponding fault problem;
and the scheme display module 106 is configured to obtain a corresponding fault solution from the vehicle fault database according to the fault selection instruction, and display the fault solution.
In some embodiments, the fault information includes vehicle type information and fault problem description information, the keywords include a vehicle type keyword and a fault problem keyword, and the keyword module 102 is further configured to:
extracting corresponding vehicle type keywords according to the vehicle type information;
and extracting corresponding fault problem keywords according to the fault problem description information.
In some embodiments, the fault information includes vehicle type information, fault location information, and fault problem description information, the keywords include a vehicle type keyword, a fault location keyword, and a fault problem keyword, and the keyword module 102 is further configured to:
extracting corresponding vehicle type keywords according to the vehicle type information;
extracting corresponding fault part keywords according to the fault part information;
and extracting corresponding fault problem keywords according to the fault problem description information.
In some embodiments, the failure location information is a failure location picture, and the keyword module 102 is further configured to:
extracting picture characteristics of the fault part picture;
and identifying the vehicle fault part corresponding to the fault part picture according to the picture characteristics so as to extract the corresponding fault part keyword.
In some embodiments, the vehicle fault diagnosis apparatus 10 further includes an evaluation acquisition module 107 for:
acquiring evaluation information, wherein the evaluation information is information for evaluating the accuracy of the fault solution by a user;
and adjusting the mapping relation between the keywords and the fault problems in the vehicle fault database according to the evaluation information.
In some embodiments, the vehicle fault diagnosis device 10 further includes a database module 108 for:
and constructing a vehicle fault database.
In some embodiments, the database module 108 is further configured to:
obtaining sample fault information of a vehicle;
acquiring a sample keyword and a fault solution corresponding to the sample fault information, wherein the sample keyword is a word for describing the sample fault information;
setting the weight of the sample keywords, and establishing the mapping relation among the sample fault information, the sample keywords and the fault solution to form a vehicle fault database.
Referring to fig. 5, the present application further provides an electronic device 20, where the electronic device 20 includes a memory 201 and a processor 202, where the memory 201 is communicatively connected to the processor 202.
The memory 201 includes at least one type of readable storage medium, which includes flash memory, hard disk, multimedia card, card type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, and the like. The memory 201 may in some embodiments be an internal memory of the electronic device 20, for example a hard disk of the electronic device 20. The memory 201 may also be an external storage device of the electronic device 20 in other embodiments, such as a plug-in hard disk provided on the electronic device 20, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and so on.
The memory 201 may be used not only to store application software installed in the electronic device 20 and various types of data, such as codes of a computer-readable program, but also to temporarily store data that has been output or will be output, that is, the first memory may serve as a storage medium that stores a computer-executable vehicle failure diagnosis program.
Processor 202, which in some embodiments may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data Processing chip, may invoke a vehicle fault diagnostic program stored in memory 201 to implement the following method steps:
acquiring fault information of a vehicle;
extracting keywords corresponding to the fault information according to the fault information;
acquiring fault problems corresponding to the keywords from a vehicle fault database according to the keywords;
sorting the fault problems according to the matching degree of the fault problems and the keywords and displaying the sorted fault problems;
acquiring a fault selection instruction, wherein the fault selection instruction is an instruction generated after a user selects a corresponding fault problem;
and acquiring a corresponding fault solution from the vehicle fault database according to the fault selection instruction, and displaying the fault solution.
In some embodiments, the fault information includes vehicle type information and fault problem description information, the keywords include vehicle type keywords and fault problem keywords, and the processor 202 is further configured to implement the following method steps:
extracting corresponding vehicle type keywords according to the vehicle type information;
and extracting corresponding fault problem keywords according to the fault problem description information.
In some embodiments, the fault information includes vehicle type information, fault location information, and fault problem description information, and the keywords include a vehicle type keyword, a fault location keyword, and a fault problem keyword, and the processor 202 is further configured to implement the following method steps:
extracting corresponding vehicle type keywords according to the vehicle type information;
extracting corresponding fault part keywords according to the fault part information;
and extracting corresponding fault problem keywords according to the fault problem description information.
In some embodiments, the information of the fault location is a picture of the fault location, and the processor 202 is further configured to implement the following method steps:
extracting picture characteristics of the fault part picture;
and identifying the vehicle fault part corresponding to the fault part picture according to the picture characteristics so as to extract the corresponding fault part keyword.
In some embodiments, processor 202 is further configured to implement the following method steps:
acquiring evaluation information, wherein the evaluation information is information for evaluating the accuracy of the fault solution by a user;
and adjusting the mapping relation between the keywords and the fault problems in the vehicle fault database according to the evaluation information.
In some embodiments, processor 202 is further configured to implement the following method steps:
and constructing a vehicle fault database.
In some embodiments, processor 202 is further configured to implement the following method steps:
obtaining sample fault information of a vehicle;
acquiring a sample keyword and a fault solution corresponding to the sample fault information, wherein the sample keyword is a word for describing the sample fault information;
setting the weight of the sample keywords, and establishing the mapping relation among the sample fault information, the sample keywords and the fault solution to form a vehicle fault database.
In some embodiments, the present application further provides a storage medium storing a vehicle fault diagnosis program executable by a computer, and when the vehicle fault diagnosis program is called, a processor may implement the following method steps:
acquiring fault information of a vehicle;
extracting keywords corresponding to the fault information according to the fault information;
acquiring fault problems corresponding to the keywords from a vehicle fault database according to the keywords;
sorting the fault problems according to the matching degree of the fault problems and the keywords and displaying the sorted fault problems;
acquiring a fault selection instruction, wherein the fault selection instruction is an instruction generated after a user selects a corresponding fault problem;
and acquiring a corresponding fault solution from the vehicle fault database according to the fault selection instruction, and displaying the fault solution.
In some embodiments, the fault information includes vehicle type information and fault problem description information, the keywords include vehicle type keywords and fault problem keywords, and the processor is further configured to implement the following method steps:
extracting corresponding vehicle type keywords according to the vehicle type information;
and extracting corresponding fault problem keywords according to the fault problem description information.
In some embodiments, the fault information includes vehicle type information, fault location information, and fault problem description information, and the keywords include vehicle type keywords, fault location keywords, and fault problem keywords, and the processor is further configured to implement the following method steps:
extracting corresponding vehicle type keywords according to the vehicle type information;
extracting corresponding fault part keywords according to the fault part information;
and extracting corresponding fault problem keywords according to the fault problem description information.
In some embodiments, the fault location information is a fault location picture, and the processor is further configured to implement the following method steps:
extracting picture characteristics of the fault part picture;
and identifying the vehicle fault part corresponding to the fault part picture according to the picture characteristics so as to extract the corresponding fault part keyword.
In some embodiments, the processor is further configured to implement the following method steps:
acquiring evaluation information, wherein the evaluation information is information for evaluating the accuracy of the fault solution by a user;
and adjusting the mapping relation between the keywords and the fault problems in the vehicle fault database according to the evaluation information.
In some embodiments, the processor is further configured to implement the following method steps:
obtaining sample fault information of a vehicle;
acquiring a sample keyword and a fault solution corresponding to the sample fault information, wherein the sample keyword is a word for describing the sample fault information;
setting the weight of the sample keywords, and establishing the mapping relation among the sample fault information, the sample keywords and the fault solution to form a vehicle fault database.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.
Claims (10)
1. A vehicle fault diagnosis method is applied to an electronic device, and is characterized by comprising the following steps:
acquiring fault information of a vehicle;
extracting keywords corresponding to the fault information according to the fault information;
acquiring fault problems corresponding to the keywords from a vehicle fault database according to the keywords;
sorting the fault problems according to the matching degree of the fault problems and the keywords and displaying the sorted fault problems;
acquiring a fault selection instruction, wherein the fault selection instruction is an instruction generated after a user selects a corresponding fault problem;
and acquiring a corresponding fault solution from the vehicle fault database according to the fault selection instruction, and displaying the fault solution.
2. The vehicle fault diagnosis method according to claim 1, wherein the fault information includes vehicle type information and fault problem description information, the keywords include a vehicle type keyword and a fault problem keyword, and the extracting the keyword corresponding to the fault information based on the fault information includes:
extracting corresponding vehicle type keywords according to the vehicle type information;
and extracting corresponding fault problem keywords according to the fault problem description information.
3. The vehicle fault diagnosis method according to claim 1, wherein the fault information includes vehicle type information, fault location information, and fault problem description information, the keywords include a vehicle type keyword, a fault location keyword, and a fault problem keyword, and the extracting a keyword corresponding to the fault information based on the fault information includes:
extracting corresponding vehicle type keywords according to the vehicle type information;
extracting corresponding fault part keywords according to the fault part information;
and extracting corresponding fault problem keywords according to the fault problem description information.
4. The vehicle fault diagnosis method according to claim 3, wherein the fault location information is a fault location picture, and the extracting the corresponding fault location keyword according to the fault location information includes:
extracting picture characteristics of the fault part picture;
and identifying the vehicle fault part corresponding to the fault part picture according to the picture characteristics so as to extract the corresponding fault part keyword.
5. The vehicle fault diagnosis method according to claim 1, characterized in that the method further comprises:
acquiring evaluation information, wherein the evaluation information is information for evaluating the accuracy of the fault solution by a user;
and adjusting the mapping relation between the keywords and the fault problems in the vehicle fault database according to the evaluation information.
6. The vehicle failure diagnosis method according to claim 1, wherein before the acquiring failure information of the vehicle, the method further comprises:
obtaining sample fault information of a vehicle;
acquiring a sample keyword and a fault solution corresponding to the sample fault information, wherein the sample keyword is a word for describing the sample fault information;
setting the weight of the sample keywords, and establishing the mapping relation among the sample fault information, the sample keywords and the fault solution to form a vehicle fault database.
7. A vehicle failure diagnosis apparatus applied to an electronic device, characterized by comprising:
the information acquisition module is used for acquiring the fault information of the vehicle;
the keyword module is used for extracting keywords corresponding to the fault information according to the fault information;
the problem searching module is used for acquiring fault problems corresponding to the keywords from a vehicle fault database according to the keywords;
the problem display module is used for sequencing the fault problems according to the matching degree of the fault problems and the keywords and displaying the sequenced fault problems;
the instruction acquisition module is used for acquiring a fault selection instruction, wherein the fault selection instruction is an instruction generated after a user selects a corresponding fault problem;
and the scheme display module is used for acquiring a corresponding fault solution from the vehicle fault database according to the fault selection instruction and displaying the fault solution.
8. The vehicle fault diagnosis device according to claim 7, wherein the fault information includes vehicle type information and fault problem description information, the keywords include a vehicle type keyword and a fault problem keyword, and the keyword module is further configured to:
extracting corresponding vehicle type keywords according to the vehicle type information;
and extracting corresponding fault problem keywords according to the fault problem description information.
9. An electronic device, characterized in that the electronic device further comprises:
a memory for storing a computer-executable vehicle fault diagnosis program;
the processor is configured to invoke a vehicle failure diagnosis program stored in the memory to perform the vehicle failure diagnosis method according to any one of claims 1 to 6.
10. A storage medium storing a computer-executable vehicle fault diagnosis program, wherein a processor executes the vehicle fault diagnosis method according to any one of claims 1 to 6 when the vehicle fault diagnosis program is called.
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