CN116228199A

CN116228199A - Method, device, equipment and medium for acquiring vehicle problem processing countermeasures

Info

Publication number: CN116228199A
Application number: CN202310231156.XA
Authority: CN
Inventors: 刘蕊
Original assignee: Faw Toyota Motor Co ltd
Current assignee: Faw Toyota Motor Co ltd
Priority date: 2023-03-10
Filing date: 2023-03-10
Publication date: 2023-06-06

Abstract

The invention discloses a method, a device, equipment and a medium for acquiring a vehicle problem processing countermeasure. The method comprises the following steps: acquiring a target vehicle problem to be processed, and extracting a keyword label of the target vehicle problem; searching and extracting at least one initial problem countermeasure with the keyword tag from a pre-built problem countermeasure library according to the keyword tag; according to a preset rule, carrying out relevance ranking on the initial problem countermeasures; and screening out a preset number of initial problem countermeasures according to the sequenced initial problem countermeasures, and displaying the initial problem countermeasures as result problem countermeasures. According to the technical scheme, the method and the device for processing the vehicle problem can achieve rapid and accurate acquisition of the vehicle problem processing countermeasure, improve the acquisition efficiency of the vehicle problem processing countermeasure, greatly improve the reliability of the countermeasure, further improve the speed of processing the target vehicle problem according to the vehicle problem processing countermeasure, and improve the working efficiency.

Description

Method, device, equipment and medium for acquiring vehicle problem processing countermeasures

Technical Field

The present invention relates to the field of vehicle problem processing, and in particular, to a method, apparatus, device, and medium for obtaining a countermeasure for vehicle problem processing.

Background

Currently, manufacturers often need to obtain a countermeasure solution to the problem of the vehicle and repair the vehicle based on the countermeasure solution before repairing the problem of the vehicle.

The current method for obtaining the countermeasure scheme is usually determined by the experience of people on handling the vehicle problem, if the problem that the problem cannot be handled by experience occurs, the more sophisticated maintenance workers need to be inquired to conduct experience communication between people, and a way for solving the problem is found.

The inventors have found that the following problems exist in the prior art in the process of implementing the present invention: the accumulation of experience of individuals on the problem processing countermeasures is scattered and limited, the real-time accumulation and updating cannot be realized, and under the condition that the same problem is processed by individuals in different regions for multiple times, the information interaction cannot be performed, the timeliness of the information is poor, the acquisition speed of the vehicle problem processing countermeasures is seriously reduced, and the working efficiency is further reduced.

Disclosure of Invention

The invention provides a method, a device, equipment and a medium for acquiring a vehicle problem processing countermeasure, which can solve the problems that the vehicle problem processing countermeasure can not be accumulated and updated in real time, the information timeliness is poor, the acquisition efficiency of the vehicle problem processing countermeasure is low, and the working efficiency is reduced.

In a first aspect, the present invention provides a method of acquiring a countermeasure for a vehicle problem, the method comprising:

acquiring a target vehicle problem to be processed, and extracting a keyword label of the target vehicle problem;

searching and extracting at least one initial problem countermeasure with the keyword label from a pre-built problem countermeasure library according to the keyword label, wherein the initial problem countermeasure comprises the following steps: content of problem countermeasure, importance label, keyword label and countermeasure satisfaction label;

according to a preset rule, carrying out relevance ranking on the initial problem countermeasures;

and screening out a preset number of initial problem countermeasures according to the sequenced initial problem countermeasures, and displaying the initial problem countermeasures as result problem countermeasures.

In a second aspect, the present invention provides an acquisition apparatus of a vehicle problem handling countermeasure, the apparatus comprising:

the keyword extraction module is used for acquiring a target vehicle problem to be processed and extracting a keyword label of the target vehicle problem;

and the countermeasure extraction module is used for searching and extracting at least one initial problem countermeasure with the keyword label in a pre-built problem countermeasure library according to the keyword label, wherein the initial problem countermeasure comprises the following steps: content of problem countermeasure, importance label, keyword label and countermeasure satisfaction label;

the countermeasure ordering module is used for performing relevance ordering on the initial problem countermeasures according to a preset rule;

and the countermeasure display module is used for screening out a preset number of initial problem countermeasures according to the sequenced initial problem countermeasures and displaying the initial problem countermeasures as result problem countermeasures.

In a third aspect, the present invention provides an electronic device, including:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of acquiring a vehicle problem handling countermeasure according to any one of the embodiments of the present invention.

In a fourth aspect, the present invention provides a computer-readable storage medium storing computer instructions for causing a processor to execute an acquisition method of a vehicle problem handling countermeasure according to any one of the embodiments of the present invention.

According to the technical scheme, the target vehicle problem to be processed is firstly obtained, the keyword label of the target vehicle problem is extracted, then at least one initial problem countermeasure with the keyword label is searched and extracted from the problem countermeasure library according to the keyword label, then each initial problem countermeasure is subjected to relevance ranking according to the preset rule, a preset number of initial problem countermeasures are screened out according to each initial problem countermeasure after ranking, and each initial problem countermeasure is displayed as a result problem countermeasure, so that the problems that the vehicle problem countermeasure cannot be accumulated and updated in real time, the information timeliness is poor, the obtaining efficiency of the vehicle problem countermeasure is low, the working efficiency is reduced are solved, the quick and accurate obtaining of the vehicle problem countermeasure is realized, the obtaining efficiency of the vehicle problem countermeasure is improved, and the working efficiency is further improved.

It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a flowchart of a method of acquiring a vehicle problem handling countermeasure according to a first embodiment of the present invention;

fig. 2a is a flowchart of a method for acquiring a countermeasure for a vehicle problem according to a second embodiment of the present invention;

FIG. 2b is a schematic structural diagram of a problem countermeasure construction platform according to the second embodiment of the present invention;

fig. 3 is a schematic structural view of an acquisition device of a vehicle problem handling countermeasure provided according to a third embodiment of the present invention;

fig. 4 is a schematic structural diagram of an electronic device implementing a method of acquiring a vehicle problem handling countermeasure according to an embodiment of the present invention.

Detailed Description

In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise 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.

Example 1

Fig. 1 is a flowchart of a method for acquiring a vehicle problem handling countermeasure according to a first embodiment of the present invention, where the method may be executed by a vehicle problem handling countermeasure acquisition apparatus, which may be implemented in hardware and/or software, and may be configured in a terminal or a server having a vehicle problem handling countermeasure acquisition function. As shown in fig. 1, the method includes:

s110, acquiring a target vehicle problem to be processed, and extracting a keyword label of the target vehicle problem.

The target problem to be processed can be a specific description of the problem, and can also be a key description of the problem; taking the failure of the target vehicle as an example of engine water leakage, the specific description of the problem may be: the water leakage of a certain part of the front engine of a vehicle of a certain model, and correspondingly, the central description of the problem can be as follows: water leakage; further, the content of the acquired target vehicle problem to be processed is determined by the search content input by the user to the platform.

Further, the platform may be composed of a text entry box and a search button; the text input box is used for inputting the text description of the target vehicle problem to be processed by the user, and the search button is used for responding to the trigger of the user and uploading the text description of the target vehicle problem as the target vehicle problem to be processed.

In this embodiment, when extracting the keyword tag of the target vehicle problem, the server acquires a text description corresponding to the target vehicle problem to be processed, and searches whether at least one vocabulary in the current text description is matched with any vocabulary in the keyword lexicon; if yes, extracting all the matched vocabularies for combination, and taking the vocabulary combination as a keyword label of the current target vehicle problem; correspondingly, if the text description does not exist, a search error result is returned, and the user is prompted to modify the text description.

Further, the keyword word library is a database which is manually pre-built, wherein keywords contained in the keyword word library comprise: a vehicle part unit, a vehicle problem unit, a vehicle model unit, and the like; specifically, the vehicle part unit is a vocabulary for describing a vehicle part, for example: vehicle front wall, vehicle rear wall, vehicle interior, etc.; the vehicle problem unit is a word for summarizing vehicle problems such as short circuit, poor contact, water leakage, paint dropping, and the like.

In a specific implementation scenario of this embodiment, if a text description of "water leakage at a certain position of a front engine of a vehicle" is manually input in a text box of the platform, then a user performs a search task by triggering a search button, and the system responds to a search operation to obtain "water leakage at a certain position of a front engine of a vehicle" as a target vehicle problem to be processed, and matches component vocabularies of the target vehicle problem in a keyword lexicon; through the matching operation, the 'engine' and the 'water leakage' matched into the text description exist in the keyword word stock. The method comprises the steps that two vocabularies are matched with vocabularies in a keyword lexicon, at the moment, the engine and the water leakage are extracted and combined into a keyword engine water leakage, and the engine water leakage is output as a keyword tag of the target vehicle problem so as to finish subsequent operation.

It should be noted that, the vocabulary in the keyword words and sentences can be added, deleted or modified through manual operation.

S120, searching and extracting at least one initial problem countermeasure with the keyword label from a pre-built problem countermeasure library according to the keyword label.

Wherein the initial problem countermeasure includes: question countermeasure content, importance labels, keyword labels, and countermeasure satisfaction labels.

Correspondingly, the problem countermeasure content is specific content of the initial problem countermeasure; the importance label can represent the importance degree of the current initial problem countermeasure, and further, the importance degree can be manually identified or modified; the countermeasure satisfaction label is a numerical value which can represent the satisfaction degree of the current initial problem countermeasure by manually considering problems such as difficulty in countermeasure implementation, countermeasure effect, and price of countermeasure implementation.

Note that the keyword tag carried by the initial problem countermeasure needs to be completely identical to the keyword tag of the target vehicle problem; for example, if the keyword tag of the target vehicle problem is "engine water leakage", the keyword tag of countermeasure a in the problem countermeasure library is "water leakage", the keyword tag of countermeasure B is "poor engine contact", and the keyword tag of countermeasure C is "engine water leakage", then among the countermeasures, only countermeasure C is the initial problem countermeasure.

In the present embodiment, the problem countermeasure library is composed of at least one vehicle problem processing countermeasure, and each vehicle problem processing countermeasure in the problem countermeasure library may be added, deleted, or modified by a manual operation.

Wherein, the importance tag includes: the system comprises an S-level label, an A-level label, a B-level label and a C-level label, wherein the arrangement sequence of the importance degree is that the S-level label is more than the A-level label, the B-level label is more than the C-level label.

Further, the importance tag may indicate the importance level of the current initial problem countermeasure, that is, the higher the importance level of the current initial problem countermeasure, the greater the influence level of the vehicle problem corresponding to the initial problem countermeasure on the vehicle.

In this embodiment, the importance tag may be manually determined or modified.

S130, according to a preset rule, carrying out relevance ranking on the initial problem countermeasures.

Wherein the relevance ranking is to rank the initial problem countermeasures according to the relevance values corresponding to the initial problem countermeasures.

Optionally, the relevance ranking of the initial problem countermeasures according to a preset rule includes:

acquiring the total number of the initial problem countermeasures and the total number of related problem countermeasures in the problem countermeasure library; extracting importance labels and countermeasure satisfaction labels in the initial problem countermeasures to obtain importance and countermeasure satisfaction of each initial problem countermeasure; respectively obtaining the relevance of each initial problem countermeasure based on the total number of the initial problem countermeasures, the total number of related problem countermeasures, the importance and the countermeasure satisfaction; the initial problem countermeasures are sorted in positive order of relevance according to the magnitude of relevance of the initial problem countermeasures.

Wherein, the related problems can be: the problem countermeasures of the vehicle part unit which is the same as the problem of the target vehicle in the problem countermeasures library; for example, if the keyword of the target countermeasure question is "engine water leakage", as can be seen from the above embodiments, if the vehicle part unit of the current keyword is "engine", the relevant problem countermeasure is a problem countermeasure in the problem countermeasure library in which the corresponding keyword contains "engine" as its vehicle part unit, irrespective of whether the vehicle problem unit in the keyword tag of the problem countermeasure is identical; accordingly, the initial problem countermeasure is a problem countermeasure whose keyword is "engine water leakage".

In this embodiment, obtaining the total number of related problem countermeasures in the problem countermeasure library further includes:

judging whether a keyword label of the target vehicle problem contains a vehicle part unit or not; if yes, searching and extracting at least one related problem countermeasure with the vehicle part unit in a pre-built problem countermeasure library, and taking the number of the related problem countermeasures as the total number of the related problem countermeasures; if not, counting the number of all the problem countermeasures in the problem countermeasures library as the total number of the related problem countermeasures.

Further, the step of obtaining correlations of the respective initial problem countermeasures based on the total number of the respective initial problem countermeasures, the total number of the relevant problem countermeasures, the importance and the countermeasure satisfaction, respectively, includes:

acquiring the total number of the initial problem countermeasures, the total number of related problem countermeasures, the importance and the countermeasure satisfaction to obtain the correlation of each initial problem countermeasure; calculating the correlation based on a preset formula, wherein the preset formula is as follows: (initial problem countermeasure total number/relevant problem countermeasure total number) ×100+importance+countermeasure satisfaction=relevance.

It should be noted that, since the problem countermeasures in the problem countermeasure library can be updated and added manually in real time, the total number of the initial problem countermeasures and the total number of the related problem countermeasures may change with the update in the problem countermeasure library, i.e. the total number of the initial problem countermeasures/the total number of the related problem countermeasures is an unfixed value which changes with time. In the present embodiment, by setting the time-varying parameter of the total number of initial problem countermeasures/the total number of related problem countermeasures, it is possible to avoid the occurrence of a vehicle problem having the same keyword tag, and a situation in which exactly the same vehicle problem processing countermeasure is obtained when a plurality of search operations are performed in different time periods.

And S140, screening out a preset number of initial problem countermeasures according to the sequenced initial problem countermeasures, and displaying the initial problem countermeasures as result problem countermeasures.

In this embodiment, according to the above steps, each of the initial problem countermeasures after sorting is an initial problem countermeasures sequence in which each of the initial problem countermeasures is sorted in a positive order of relevance according to the magnitude of the relevance of each of the initial problem countermeasures, that is, the initial problem countermeasure with the highest relevance value is located at the first position of sorting, and the initial problem countermeasure with the lowest relevance value is located at the last position of sorting.

Therefore, when a preset number of initial problem countermeasures are screened out according to each initial problem countermeasure after sorting, the screened out result problem countermeasures are the problem countermeasures with corresponding number of bits before the initial problem countermeasures; for example, if the preset number is 20, the result problem countermeasure is the top 20 problem countermeasures with highest relevance value ranking in all initial problem countermeasures.

According to the technical scheme, the target vehicle problem to be processed is firstly obtained, the keyword label of the target vehicle problem is extracted, then at least one initial problem countermeasure with the keyword label is searched and extracted from the problem countermeasure library according to the keyword label, then each initial problem countermeasure is subjected to relevance ranking according to the preset rule, a preset number of initial problem countermeasures are screened out according to each initial problem countermeasure after ranking, and each initial problem countermeasure is displayed as a result problem countermeasure, so that the rapid and accurate obtaining of the vehicle problem processing countermeasure is realized, the obtaining efficiency of the vehicle problem processing countermeasure is improved, and further the working efficiency is improved.

Example two

Fig. 2a is a flowchart of a method for obtaining a countermeasure for a vehicle problem according to a second embodiment of the present invention, which is based on the above-mentioned embodiment, specifically, in this embodiment, a method for building a problem countermeasure library in which at least one initial problem countermeasure with the keyword tag is found and extracted from a problem countermeasure library built in advance according to the keyword tag is supplemented.

Accordingly, as shown in fig. 2a, the method comprises:

s210, collecting historical problem countermeasures through a preset platform, and labeling all the historical problem countermeasures.

Wherein the labeling process forms labels for importance, keywords, and countermeasure satisfaction in the historical problem countermeasure, and adds the labels to the historical problem countermeasure.

Specifically, the historical problem countermeasures are collected through a preset platform, and all the historical problem countermeasures are subjected to labeling processing, including:

extracting the problem countermeasure content, importance degree, keywords and countermeasure satisfaction degree of each history problem countermeasure based on the manual rule;

editing the importance degree, the keywords and the contents of the countermeasure satisfaction degree of each historical problem countermeasure as labels, and adding the labels into the matched historical problem countermeasures;

outputting the processed historical problem countermeasures to obtain labeled historical problem countermeasures comprising importance labels, keyword labels and countermeasure satisfaction labels.

Alternatively, the history problem countermeasure may include: countermeasures for vehicle problems that workers have encountered and successfully solved in previous work experiences. It should be noted that, in this embodiment, the sources of the history problem countermeasure may include a worker of a vehicle operator, a worker of vehicle maintenance, and related persons of various types of vehicles, and the history problem countermeasure is uploaded through a preset platform, and the embodiment does not limit the sources of the history problem countermeasure.

S220, recording each history problem countermeasure after labeling processing into a preset platform to form a problem countermeasure library.

Wherein, the preset platform may be: a problem countermeasure library construction platform; further, as shown in fig. 2b, the problem countermeasure library construction platform may include: a vehicle model input box, a vehicle problem part input box, a countermeasure scheme input box, a bad phenomenon input box, a vehicle problem picture input box, an importance input box, a satisfaction input box, other content input boxes and the like; further, the input content of the vehicle problem location input box may correspond to a vehicle location unit in the keyword tag, the input content of the adverse event input box may correspond to a vehicle problem unit in the keyword tag, the input content of the importance input box may correspond to the importance tag, the input content of the satisfaction input box may correspond to the countermeasure satisfaction tag, and the input content of the countermeasure scheme input box may correspond to the problem countermeasure content of the history countermeasure scheme.

It should be noted that, when the above platform is used to construct the problem countermeasure library, the countermeasure scheme input box, the adverse phenomenon input box, the importance input box and the satisfaction input box are filling-necessary options, and the remaining input boxes, such as the vehicle problem portion input box, are filling-selecting options.

S230, acquiring a target vehicle problem to be processed, and extracting a keyword label of the target vehicle problem.

S240, searching and extracting at least one initial problem countermeasure with the keyword label from a pre-built problem countermeasure library according to the keyword label.

S250, according to a preset rule, carrying out relevance ranking on the initial problem countermeasures.

And S260, screening out a preset number of initial problem countermeasures according to the sequenced initial problem countermeasures, and displaying the initial problem countermeasures as result problem countermeasures.

According to the technical scheme, firstly, a problem countermeasure library is constructed based on historical problem countermeasures, then, the target vehicle problem to be processed is acquired, the keyword label of the target vehicle problem is extracted, then, at least one initial problem countermeasure with the keyword label is searched and extracted from the problem countermeasure library according to the keyword label, then, according to preset rules, the initial problem countermeasures are subjected to relevance ranking, a preset number of initial problem countermeasures are screened out according to the ranked initial problem countermeasures, and the initial problem countermeasures are displayed as result problem countermeasures, so that the quick and accurate acquisition of the vehicle problem processing countermeasures is realized, the acquisition efficiency of the vehicle problem processing countermeasures is improved, and further, the working efficiency is improved.

Example III

Fig. 3 is a schematic structural diagram of an acquisition device for a countermeasure for a vehicle problem according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes:

a keyword extraction module 310, configured to obtain a target vehicle problem to be processed, and extract a keyword tag of the target vehicle problem;

a countermeasure extraction module 320, configured to search and extract at least one initial problem countermeasure with the keyword tag in a pre-built problem countermeasure library according to the keyword tag, where the initial problem countermeasure includes: content of problem countermeasure, importance label, keyword label and countermeasure satisfaction label;

a countermeasure ordering module 330, configured to perform relevance ordering on the initial problem countermeasures according to a preset rule;

the countermeasure display module 340 is configured to screen a preset number of initial problem countermeasures according to the sorted initial problem countermeasures, and display the initial problem countermeasures as result problem countermeasures.

On the basis of the above embodiment, the countermeasure ordering module 330 includes:

a related countermeasure total number determination unit configured to acquire a total number of the initial problem countermeasures and acquire a total number of related problem countermeasures in the problem countermeasure library;

a data extraction unit, configured to extract an importance tag and a countermeasure satisfaction tag in the initial problem countermeasures, and obtain importance and countermeasure satisfaction of each initial problem countermeasure;

a correlation acquisition unit for obtaining the correlation of each initial problem countermeasure based on the total number of the initial problem countermeasures, the total number of the related problem countermeasures, the importance and the countermeasure satisfaction, respectively;

and the relevance ranking unit is used for ranking the relevance of the initial problem countermeasures in a positive order according to the relevance of the initial problem countermeasures.

On the basis of the above-described embodiment, the related countermeasure total number determination unit further includes:

a tag judgment unit, configured to judge whether a keyword tag of the target vehicle problem contains a vehicle part unit;

a first total number determining module, configured to find and extract at least one relevant problem countermeasure with the vehicle part unit in a pre-built problem countermeasure library if yes, and take the number of relevant problem countermeasures as the total number of relevant problem countermeasures;

and the second total number determining module is used for counting the number of all the problem countermeasures in the problem countermeasures library as the total number of related problem countermeasures if not.

On the basis of the above embodiment, the correlation acquisition unit further includes:

a data acquisition unit for acquiring the total number of the initial problem countermeasures, the total number of the related problem countermeasures, the importance and the countermeasure satisfaction to obtain the correlation of each initial problem countermeasure;

the correlation calculation unit is used for calculating the correlation based on a preset formula, wherein the preset formula is as follows: (initial problem countermeasure total number/relevant problem countermeasure total number) ×100+importance+countermeasure satisfaction=relevance.

On the basis of the above embodiment, the countermeasure extraction module 320 further includes:

the labeling processing unit is used for collecting historical problem countermeasures through a preset platform and labeling all the historical problem countermeasures;

and the problem countermeasure library forming unit is used for inputting each history problem countermeasure after the labeling treatment into a preset platform to form a problem countermeasure library.

On the basis of the above embodiment, the labeling processing unit further includes:

a data extraction unit for extracting the problem countermeasure content, importance, keywords and countermeasure satisfaction of each history problem countermeasure based on the manual rule;

a tag editing unit for editing the importance, keywords and contents of countermeasure satisfaction of each history problem countermeasure as tags, and adding the tags to the matched history problem countermeasures;

and a history countermeasure output unit for outputting each history problem countermeasure after the processing to obtain a labeled history problem countermeasure including an importance label, a keyword label and a countermeasure satisfaction label.

The acquisition device for the vehicle problem processing countermeasure provided by the embodiment of the invention can execute the acquisition method for the vehicle problem processing countermeasure provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.

Example IV

Fig. 4 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM12 and the RAM13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.

Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.

The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 executes the respective methods and processes described above, for example, an acquisition method of a vehicle problem processing countermeasure.

Accordingly, the method comprises the following steps:

In some embodiments, a method of acquiring a vehicle problem handling countermeasure may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM12 and/or the communication unit 19. When the computer program is loaded into the RAM13 and executed by the processor 11, one or more steps of the above-described acquisition method of one of the vehicle problem handling countermeasures may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the acquisition of a vehicle problem handling countermeasure, method, by any other suitable means (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.

A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.

It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.

Claims

1. A method of acquiring a countermeasure for a vehicle problem, comprising:

2. The method of claim 1, wherein the relevance ranking of the initial problem countermeasures according to a preset rule comprises:

acquiring the total number of the initial problem countermeasures and the total number of related problem countermeasures in the problem countermeasure library;

extracting importance labels and countermeasure satisfaction labels in the initial problem countermeasures to obtain importance and countermeasure satisfaction of each initial problem countermeasure;

respectively obtaining the relevance of each initial problem countermeasure based on the total number of the initial problem countermeasures, the total number of related problem countermeasures, the importance and the countermeasure satisfaction;

the initial problem countermeasures are sorted in positive order of relevance according to the magnitude of relevance of the initial problem countermeasures.

3. The method of claim 2, wherein obtaining a total number of relevant problem countermeasures in the problem countermeasure library comprises:

judging whether a keyword label of the target vehicle problem contains a vehicle part unit or not;

if yes, searching and extracting at least one related problem countermeasure with the vehicle part unit in a pre-built problem countermeasure library, and taking the number of the related problem countermeasures as the total number of the related problem countermeasures;

if not, counting the number of all the problem countermeasures in the problem countermeasures library as the total number of the related problem countermeasures.

4. The method according to claim 2, wherein the obtaining of the correlation of each initial problem countermeasure based on the total number of the initial problem countermeasures, the total number of the related problem countermeasures, the importance, and the countermeasure satisfaction, respectively, comprises:

acquiring the total number of the initial problem countermeasures, the total number of related problem countermeasures, the importance and the countermeasure satisfaction to obtain the correlation of each initial problem countermeasure;

calculating the correlation based on a preset formula, wherein the preset formula is as follows: (initial problem countermeasure total number/relevant problem countermeasure total number) ×100+importance+countermeasure satisfaction=relevance.

5. The method of claims 1-4, wherein the importance tag comprises:

the system comprises an S-level label, an A-level label, a B-level label and a C-level label, wherein the arrangement sequence of the importance degree is that the S-level label is more than the A-level label, the B-level label is more than the C-level label.

6. The method of claim 1, wherein, based on the keyword tag, before searching and extracting at least one initial problem countermeasure with the keyword tag in a pre-built problem countermeasure library, further comprising:

collecting historical problem countermeasures through a preset platform, and labeling all the historical problem countermeasures;

and recording each history problem countermeasure after the labeling treatment into a preset platform to form a problem countermeasure library.

7. The method of claim 6, wherein collecting historical problem countermeasures through a preset platform and labeling all the historical problem countermeasures comprises:

8. An acquisition device for a countermeasure for a vehicle problem, comprising:

9. An electronic device, the electronic device comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of acquiring one of the vehicle problem handling countermeasures of any one of claims 1 to 7.

10. A computer-readable storage medium storing computer instructions for causing a processor to execute the acquisition method of one of the vehicle problem handling countermeasures recited in any one of claims 1 to 7.