CN112965871A - Vehicle fault prompt information acquisition method and device and storage medium - Google Patents
Vehicle fault prompt information acquisition method and device and storage medium Download PDFInfo
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Abstract
The embodiment of the invention relates to the technical field of automobile detection, and discloses a vehicle fault prompt information acquisition method, which comprises the following steps: acquiring user description information, vehicle information and diagnosis detection data; extracting target keywords matched with the user description information according to the user description information, and extracting target diagnosis fault codes and target vehicle types according to the user vehicle information; analyzing the diagnostic test data, and determining first abnormal item data from the diagnostic test data; determining candidate prompt information according to the first abnormal item data and preset prompt information; matching target prompt information from the candidate prompt information according to the target keyword, the target diagnosis fault code and a preset corresponding relation; the preset corresponding relation refers to the corresponding relation among a plurality of diagnosis fault codes, target vehicle types and potential abnormal information; and sending target prompt information to the user equipment, wherein the target prompt information prompts a system with a fault, a fault type and a corresponding fault processing mode in the vehicle. The method provides an intuitive fault diagnosis result.
Description
Technical Field
The embodiment of the invention relates to the technical field of automobile detection, in particular to a method and a device for acquiring vehicle fault prompt information and a storage medium.
Background
At present, the existing automobile detection equipment generally adopts the technical scheme that various automobile faults are easy to occur when an automobile is used, and the faults need to be diagnosed and detected. With the development of the electronic technology, the automation technology and the computer technology of the automobile, the fault diagnosis and detection of the automobile become more and more complex, and only some complex and precise diagnosis and detection equipment, the upgrading of the automobile technology and the upgrading of the diagnosis and detection equipment can be relied on.
Since the user can only rely on the equipment of a maintenance organization or a unit to perform diagnosis and detection on the vehicle, the diagnosis and detection report obtained by diagnosis and detection has certain specialty, so that the diagnosis and detection report cannot be directly understood by a general user, the user needs to spend a great deal of effort to understand and learn fault codes, detect professional terms and the like, and thus, the current diagnosis and detection report cannot intuitively provide popular and understandable diagnosis results for the user, and the cost of the user is increased.
Disclosure of Invention
In view of the foregoing problems, embodiments of the present invention provide a method, an apparatus, and a storage medium for acquiring vehicle failure prompt information, which are used to solve the technical problem in the prior art that a user can only rely on a maintenance organization or a unit device to perform diagnostic detection on a vehicle, and data obtained by the diagnostic detection cannot be directly understood by the user.
According to an aspect of an embodiment of the present invention, there is provided a vehicle failure prompt information acquisition method applied to a failure calculation service device, the method including:
acquiring user description information, vehicle information and diagnosis detection data from vehicle detection equipment from a user terminal;
extracting a target keyword matched with the user description information from a database of the vehicle detection equipment according to the user description information, and extracting a target diagnosis fault code and a target vehicle type corresponding to the vehicle information according to the user vehicle information;
analyzing the diagnosis detection data, and determining first abnormal item data meeting abnormal conditions from the diagnosis detection data;
determining candidate prompt information according to the first abnormal item data and preset prompt information;
matching target prompt information from the candidate prompt information according to the target keyword, the target diagnosis fault code and a preset corresponding relation; the preset corresponding relation refers to the corresponding relation among a plurality of diagnosis fault codes, the target vehicle type and the potential abnormal information;
and sending the target prompt information to the user equipment, wherein the target prompt information is used for prompting a system with a fault in the vehicle, a fault type and a corresponding fault processing mode.
In an optional manner, the determining candidate prompt information according to the first abnormal item data and preset prompt information includes:
matching each abnormal item data in the first abnormal item data with at least one preset prompting message;
and determining the preset prompt information with the matching degree higher than the preset matching degree as the candidate prompt information.
In an optional mode, the target diagnosis fault code comprises a fault internal code, the fault internal code corresponds to a standard fault code, and the fault internal code comprises a system to which a fault belongs, a fault type, a subsystem to which the fault belongs, a fault object and a fault type.
In an optional manner, before determining candidate prompt information according to the first abnormal item data and preset prompt information, the method further includes:
acquiring a system to which the fault belongs, a fault type, a subsystem to which the fault belongs, a fault object and a fault type from the target diagnosis fault code;
and performing semantic conversion and merging processing according to the system to which the fault belongs, the fault type, the subsystem to which the fault belongs, the fault object and the fault type to obtain the preset prompt information.
In an optional manner, after the extracting, according to the user description information, a target keyword matched with the user description information from a database of the vehicle detection device and extracting, according to the user vehicle information, a target diagnostic fault code and a target vehicle type corresponding to the vehicle information, the method further includes:
acquiring a historical diagnosis fault report of the target vehicle type;
matching the target keyword and the target diagnostic trouble code with the historical diagnostic trouble data;
if target diagnosis fault data matched with the target keywords and the target diagnosis fault codes are matched, acquiring historical target prompt information corresponding to the target diagnosis fault data;
and sending the historical target prompt information serving as the target prompt information to the user equipment.
In an optional manner, the method further comprises:
obtaining a third party diagnostic fault report from at least one fault calculation service device, the third party diagnostic fault report including a diagnostic report of at least one fault occurring in at least one system of a vehicle of at least one vehicle type;
and merging the third-party diagnosis fault report with the historical diagnosis fault report in the database so as to update the historical diagnosis fault report in the database.
According to another aspect of the embodiments of the present invention, there is provided a failure calculation service apparatus including:
the receiving and sending module is used for acquiring user description information, vehicle information and diagnosis detection data from the vehicle detection equipment from the user terminal;
the processing module is used for extracting a target keyword matched with the user description information from a database of the vehicle detection equipment according to the user description information and extracting a target diagnosis fault code and a target vehicle type corresponding to the vehicle information according to the user vehicle information; analyzing the diagnosis detection data, and determining first abnormal item data meeting abnormal conditions from the diagnosis detection data; determining candidate prompt information according to the first abnormal item data and preset prompt information; matching target prompt information from the candidate prompt information according to the target keyword, the target diagnosis fault code and a preset corresponding relation; the preset corresponding relation refers to the corresponding relation among a plurality of diagnosis fault codes, the target vehicle type and the potential abnormal information;
the transceiver module is further configured to send the target prompt information to the user equipment, where the target prompt information is used to prompt a system in which a fault occurs, a fault type, and a processing method of the corresponding fault in the vehicle.
According to another aspect of the embodiments of the present invention, there is provided an electronic device including:
the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation of the vehicle fault prompt information acquisition method.
According to another aspect of the embodiments of the present invention, there is provided a computer-readable storage medium, in which at least one executable instruction is stored, and when the executable instruction is executed on an electronic device, the electronic device executes the operations of the vehicle failure indication information obtaining method.
According to the embodiment of the invention, professional target diagnosis and detection data are converted into visual and understandable target prompt information, and suggestions such as maintenance, repair, replacement and maintenance of a system or a subsystem (such as a tire) with a fault are reflected in a final diagnosis and detection report, so that not only is the experience of a user improved, but also the diagnosis and detection report generates corresponding value for the user. In addition, the problem that a user cannot obtain a diagnosis and detection report in time can be solved, and a complex diagnosis and detection process is shielded for the user, so that the user does not need to worry about the revolution of locomotive technology and the upgrade of diagnosis and detection equipment, and can update and obtain the vehicle diagnosis and detection report based on cloud computing at any time only by installing a simple fault computing service device.
The foregoing description is only an overview of the technical solutions of the embodiments of the present invention, and the embodiments of the present invention can be implemented according to the content of the description in order to make the technical means of the embodiments of the present invention more clearly understood, and the detailed description of the present invention is provided below in order to make the foregoing and other objects, features, and advantages of the embodiments of the present invention more clearly understandable.
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The drawings are only for purposes of illustrating embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 illustrates a cloud-based diagnostic test reporting architecture provided by an embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating a diagnostic service flow provided by an embodiment of the present invention;
FIG. 3 is a flowchart illustrating a vehicle failure notification information obtaining method according to another embodiment of the invention;
fig. 4 is a schematic flow chart illustrating a vehicle failure prompt information acquisition method according to still another embodiment of the present invention;
FIG. 5 is a schematic diagram illustrating a process flow for diagnosing fault data according to an embodiment of the present invention;
FIG. 6 is a schematic structural diagram of a failure calculation service device according to another embodiment of the present invention;
fig. 7 shows a schematic structural diagram of an electronic device provided in an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein.
First, technical terms appearing in the embodiments of the present invention are explained:
cloud computing: cloud computing (cloud computing) is one type of distributed computing, and means that a huge data computing processing program is decomposed into countless small programs through a network "cloud", and then the small programs are processed and analyzed through a system consisting of a plurality of servers to obtain results and are returned to a user.
DTC: diagnostic Trouble Codes (DTCs). Without disassembly (or only with the removal of individual parts), the technical state of the vehicle is determined, and the inspection of the failure location and cause is ascertained. The method comprises the detection and diagnosis of an automobile engine, the detection and diagnosis of an automobile chassis, the detection and diagnosis of an automobile body and accessories, the detection of automobile exhaust pollutants and noise and the like.
Micro-service: one software development technique, a variation of the Service Oriented Architecture (SOA) architectural style, constructs applications as a set of loosely coupled services. In the microservice architecture, services are fine-grained and protocols are lightweight.
C end: namely, the 2c (to customer) product, is an end-user or consumer oriented product, often undertaking the tasks of drainage and conversion; the C-end product is an important medium between enterprises and consumers and also one of the important means for acquiring customers of the enterprises.
And (3) end B: i.e., 2b (business) product, the object of use is an organization or business. The B-end product is usually based on a certain business field, solves the problems encountered by the client in the office or operation process, improves the efficiency of the client, increases the income and reduces the cost.
The embodiment of the invention can provide vehicle fault diagnosis service to the B terminal and the C terminal based on the micro service surface. In some embodiments, the architecture of the diagnostic test report in the embodiments of the present invention may be implemented based on a cloud, for example, refer to the schematic diagram of the cloud-based diagnostic test report architecture shown in fig. 1. The cloud-based diagnostic test reporting architecture is divided into an access layer, an interface layer, a service layer and a storage layer.
And an access layer: the method provides an interactive mode for users, and supports multi-terminal access of a mobile terminal and a PC terminal.
Interface layer: and the system is responsible for micro-service routing, load balancing, service authentication and access log monitoring.
And (3) a service layer: and is responsible for specific service implementation and operation on the data layer. Wherein, the service layer comprises service communication, a business service module, a basic service component, a container (docker) and service management. The service communication module is used for communication interaction between the vehicle detection equipment and the user terminal; the service module provides diagnosis and detection services, the basic service assembly comprises an equipment management assembly and a report center assembly, and the equipment management assembly is used for managing vehicle detection equipment; the report center component is used for processing detection reports from the vehicle detection equipment. Service management includes service configuration, service discovery, and service monitoring.
A storage layer: the system is responsible for storing data, and specifically, a cache (Redis) and a database (Myql) can be deployed at the same time.
Fig. 2 is a schematic diagram illustrating a diagnostic service flow according to an embodiment of the present invention. The diagnostic business process illustrated in fig. 2 may be implemented based on the architecture illustrated in fig. 1. Specifically, the vehicle is equipped with a vehicle detection device (which may also be referred to as a diagnostic detection device, and the like, but not limited thereto), the vehicle detection device is provided with a communication module that can communicate with a fault computing service device (which may also be referred to as a cloud platform, a cloud computing platform, and the like, but not limited thereto, and fig. 1 is taken as an example), and the following details are described:
1. the vehicle detection equipment is registered to the cloud computing platform after being networked.
2. After diagnostic testing of the various systems of the vehicle is performed by the diagnostic testing device, the diagnostic test data is uploaded to the reporting center component.
3. And calling a diagnosis detection conversion service to perform readable conversion on the diagnosis detection data to obtain a diagnosis detection report.
4. And the user terminal remotely reads the diagnosis detection report.
Fig. 3 illustrates a vehicle failure prompt information obtaining method according to an embodiment of the present invention, which is applied to a failure calculation service device, where the failure calculation service device may be an application or a hardware device in which the application is installed, and the embodiment of the present invention is not limited thereto. The fault calculation service device may be disposed in a centralized manner or in a separated manner with respect to the vehicle detection apparatus, which is not limited in the embodiments of the present invention. The vehicle fault prompt information acquisition method provided by the embodiment of the invention comprises the following steps:
step 110: user description information, vehicle information, and diagnostic test data from a vehicle test device are obtained from a user terminal.
Step 120: and extracting a target keyword matched with the user description information from a database of the vehicle detection equipment according to the user description information, and extracting a target diagnosis fault code and a target vehicle type corresponding to the vehicle information according to the user vehicle information.
In some embodiments, the target diagnostic trouble code includes a trouble code corresponding to a standard trouble code, and the trouble code includes a system to which the trouble belongs, a trouble type, a subsystem to which the trouble belongs, a trouble object, and a trouble type.
Step 130: and analyzing the diagnosis detection data, and determining first abnormal item data meeting abnormal conditions from the diagnosis detection data.
Step 140: and determining candidate prompt information according to the first abnormal item data and preset prompt information.
The preset prompt information is a general statement with readability and universality, and can be used for indicating a system or a subsystem with a current fault and indicating a specific fault type. The candidate prompt information is at least one preset prompt information which is matched and associated with the abnormal item in the first abnormal item data, and therefore the target prompt information can be conveniently obtained through subsequent screening.
In some embodiments, the determining candidate cue information according to the first abnormal item data and preset cue information includes:
matching each abnormal item data in the first abnormal item data with at least one preset prompting message;
and determining the preset prompt information with the matching degree higher than the preset matching degree as the candidate prompt information.
Therefore, the time for determining the target prompt message can be reduced through the preliminary screening.
In some embodiments, before determining the candidate cue information according to the first abnormal item data and the preset cue information, the method further includes:
acquiring a system to which the fault belongs, a fault type, a subsystem to which the fault belongs, a fault object and a fault type from the target diagnosis fault code;
and performing semantic conversion and merging processing according to the system to which the fault belongs, the fault type, the subsystem to which the fault belongs, the fault object and the fault type to obtain the preset prompt information.
For example, the original diagnostic test data is a collection of mass test data of each system or subsystem of the vehicle, that is, detailed test data of each item is included, but a general failure explanation is not given, and a person with professional knowledge is required to judge detailed test data item by item to be able to judge a failed system or subsystem and a corresponding failure type, but the original diagnostic test data is long and obscure for an ordinary user. Therefore, in the embodiment of the invention, the corresponding preset prompt information is preset for each diagnosis fault code of each vehicle type, so that after a system or a subsystem with a fault in a vehicle is diagnosed, the diagnosis detection data of the system or the subsystem with the fault can be quickly converted into the universal language, a user can intuitively understand the result indicated by the diagnosis detection data, and the diagnosis detection result can be quickly obtained without professional knowledge.
Step 150: and matching target prompt information from the candidate prompt information according to the target keyword, the target diagnosis fault code and a preset corresponding relation.
The preset corresponding relation refers to the corresponding relation among a plurality of diagnosis fault codes, the target vehicle type and the potential abnormal information.
Step 160: and sending the target prompt information to the user equipment.
The target prompt information is used for prompting a system with a fault in the vehicle, a fault type and a corresponding fault processing mode. In some embodiments, the target prompt information may be sent to the user terminal alone, or may be sent to the user terminal in the form of a vehicle diagnosis and detection report, which is not limited in the embodiments of the present invention.
In some embodiments, since the difference of the same vehicle type with respect to the same fault type is small, even if vehicles of the same vehicle type are used by different users, the diagnostic test results can be referred to each other when one party has a fault. The embodiment of the invention can also adopt a collaborative filtering mode to quickly match the target prompt information. After extracting a target keyword matched with the user description information from a database of the vehicle detection device according to the user description information and extracting a target diagnosis fault code and a target vehicle type corresponding to the vehicle information according to the user vehicle information, the method further comprises:
acquiring a historical diagnosis fault report of the target vehicle type;
matching the target keyword and the target diagnostic trouble code with the historical diagnostic trouble data;
if target diagnosis fault data matched with the target keywords and the target diagnosis fault codes are matched, acquiring historical target prompt information corresponding to the target diagnosis fault data;
and sending the historical target prompt information serving as the target prompt information to the user equipment.
Therefore, reliable target prompt information can be rapidly provided for a user by referring to historical diagnosis fault reports of the same vehicle type, and particularly when a large number of users have concurrent diagnosis requirements, the user can be rapidly responded.
In some embodiments, historical diagnostic test reports in the database may also be continually updated to provide more comprehensive data coverage. Specifically, the method further comprises:
obtaining a third party diagnostic fault report from at least one fault calculation service device, the third party diagnostic fault report including a diagnostic report of at least one fault occurring in at least one system of a vehicle of at least one vehicle type;
and merging the third-party diagnosis fault report with the historical diagnosis fault report in the database so as to update the historical diagnosis fault report in the database.
In the embodiment of the invention, professional target diagnosis and detection data are converted into intuitive and understandable target prompt information, on one hand, most users have little knowledge about the professional diagnosis and detection data or terms, but hope to know the problem of the vehicle condition, on the other hand, the embodiment of the invention converts the professional diagnosis and detection data into descriptive information (namely the target prompt information) which can be easily understood by the users, and presents suggestions for maintaining, repairing, replacing, maintaining and the like of a system or a subsystem (such as a tire) with a fault in a final diagnosis and detection report, so that not only is the experience of the users improved, but also the diagnosis and detection report generates corresponding value for the users.
In another aspect, the problem that the user cannot obtain the diagnosis and detection report in time is solved, and the complicated diagnosis and detection process is shielded for the user, so that the user does not need to care about the revolution of locomotive technology and the upgrade of diagnosis and detection equipment, and can update and obtain the vehicle diagnosis and detection report based on cloud computing at any time only by installing a simple fault computing service device (such as APP).
For convenience of understanding, a specific application scenario is taken as an example to illustrate the vehicle failure prompt information acquisition method, and fig. 4 shows a schematic flow chart of the vehicle failure prompt information acquisition method according to another embodiment of the present invention.
1. A test person (e.g., technician) connects the vehicle test device to the cloud computing platform and registers with a device management component in the base service components of the service layer.
2. After diagnostic testing of the user vehicle using the registered vehicle testing device, diagnostic test data is uploaded to the reporting center component.
3. The user terminal calls the service provided by the report center component to obtain the diagnosis and detection data, and the service of the report center component converts the diagnosis and detection data into a diagnosis and detection report comprising target prompt information.
4. And returning the diagnosis detection report to the user terminal.
In the embodiment of the invention, the diagnosis and detection data report conversion technology is based on three-dimensional data input, keyword data, vehicle type data and diagnosis and detection result data. Built-in analysis and storage has been done for multiple combinations of each data. When the diagnosis and detection report is assembled, only corresponding information needs to be extracted, then classification and recombination are carried out, and matching is carried out in data with built-in prompts. The specific process can be referred to as shown in fig. 4, and specifically includes the following steps:
1. and extracting the user description information to match the keyword database.
2. Obtaining the detailed information of the vehicle type of the user vehicle, and extracting the relevant DTC code and the relevant information of the vehicle type according to the vehicle type information.
3. And extracting the DTC code in the diagnosis result, and acquiring abnormal item content and a corresponding detection value in the detection data.
4. And judging the prompting content according to the abnormal item in the detection data and the built-in user prompting information.
5. And matching user-readable prompt information of each DTC code according to the DTC code and the potential abnormal information of the current vehicle type corresponding to each built-in DTC code.
6. And returning the assembly prompt information.
Therefore, on one hand, professional automobile technology, complex diagnosis and detection processes and updating and upgrading operations of diagnosis and detection equipment are shielded through the cloud computing platform, and a user cannot perceive the processes.
On the other hand, the prompt data which is well built in advance is used for screening and matching the DTC or detecting the abnormal information code according to the vehicle type data and the keywords, so that good experience of a user is guaranteed.
In addition, the method is realized by using a micro-service architecture, can support multi-terminal operation, continuously updates and maintains a built-in data set, and ensures that the input of most vehicle type data is processed.
Fig. 6 is a schematic structural diagram illustrating a failure calculation service apparatus 600 according to an embodiment of the present invention. As shown in fig. 6, the failure calculation service apparatus 600 is applied to a controlled side of a vehicle measurement system,
a transceiver module 610 for acquiring user description information, vehicle information, and diagnostic test data from a vehicle test device from a user terminal;
the processing module 620 is configured to extract a target keyword matched with the user description information from a database of the vehicle detection device according to the user description information, and extract a target diagnosis fault code and a target vehicle type corresponding to the vehicle information according to the user vehicle information; analyzing the diagnosis detection data, and determining first abnormal item data meeting abnormal conditions from the diagnosis detection data; determining candidate prompt information according to the first abnormal item data and preset prompt information; matching target prompt information from the candidate prompt information according to the target keyword, the target diagnosis fault code and a preset corresponding relation; the preset corresponding relation refers to the corresponding relation among a plurality of diagnosis fault codes, the target vehicle type and the potential abnormal information;
the transceiver module 610 is further configured to send the target prompt information to the user equipment, where the target prompt information is used to prompt a system in which a fault occurs, a fault type, and a processing method of the corresponding fault in the vehicle.
The specific working process of the fault calculation service device 600 according to the embodiment of the present invention is consistent with the specific implementation steps of the vehicle fault notification information acquisition method applied to the fault calculation service device, and details are not repeated here.
Fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, and the specific embodiment of the present invention does not limit the specific implementation of the electronic device.
As shown in fig. 7, the electronic device may include: a processor (processor)702, a Communications Interface 704, a memory 706, and a communication bus 708.
Wherein: the processor 702, communication interface 704, and memory 706 communicate with each other via a communication bus 708. A communication interface 704 for communicating with network elements of other devices, such as clients or other servers. The processor 702 is configured to execute the program 710, and may specifically execute the relevant steps in the embodiment of the vehicle failure indication information obtaining method described above.
In particular, the program 710 may include program code comprising computer-executable instructions.
The processor 702 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement an embodiment of the present invention. The electronic device comprises one or more processors, which can be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
The memory 706 stores a program 710. The memory 706 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
Specifically, the program 710 may be invoked by the processor 702 to cause the electronic device to perform the following operations:
acquiring user description information, vehicle information, and diagnostic test data from the vehicle test equipment from the user terminal through the communication interface 704;
extracting a target keyword matched with the user description information from a database of the vehicle detection equipment according to the user description information, and extracting a target diagnosis fault code and a target vehicle type corresponding to the vehicle information according to the user vehicle information; analyzing the diagnosis detection data, and determining first abnormal item data meeting abnormal conditions from the diagnosis detection data; determining candidate prompt information according to the target keyword, the first abnormal item data and preset prompt information; matching target prompt information from the candidate prompt information according to the target diagnosis fault code and a preset corresponding relation; the preset corresponding relation refers to the corresponding relation among a plurality of diagnosis fault codes, the target vehicle type and the potential abnormal information;
and sending the target prompt information to the user equipment through a communication interface 704, wherein the target prompt information is used for prompting a system with a fault in the vehicle, a fault type and a processing mode of the corresponding fault.
An embodiment of the present invention provides a computer-readable storage medium, where the storage medium stores at least one executable instruction, and when the executable instruction is executed on an electronic device shown in fig. 7, the electronic device executes the following steps:
acquiring user description information, vehicle information and diagnosis detection data from vehicle detection equipment from a user terminal;
extracting a target keyword matched with the user description information from a database of the vehicle detection equipment according to the user description information, and extracting a target diagnosis fault code and a target vehicle type corresponding to the vehicle information according to the user vehicle information; analyzing the diagnosis detection data, and determining first abnormal item data meeting abnormal conditions from the diagnosis detection data; determining candidate prompt information according to the first abnormal item data and preset prompt information; matching target prompt information from the candidate prompt information according to the target diagnosis fault code and a preset corresponding relation; the preset corresponding relation refers to the corresponding relation among a plurality of diagnosis fault codes, the target vehicle type and the potential abnormal information;
and sending the target prompt information to the user equipment, wherein the target prompt information is used for prompting a system with a fault in the vehicle, a fault type and a corresponding fault processing mode.
The specific working process of the computer-readable storage medium of the embodiment of the present invention when running on the electronic device is the same as the specific steps of the above method embodiment, and details are not described here.
Embodiments of the present invention provide a computer program, where the computer program can be called by a processor to enable an electronic device to execute a vehicle failure notification information obtaining method in any of the above method embodiments.
An embodiment of the present invention provides a computer program product, where the computer program product includes a computer program stored on a computer-readable storage medium, and the computer program includes program instructions, when the program instructions are run on a computer, the computer is caused to execute the vehicle failure indication information obtaining method in any of the above-mentioned method embodiments.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specified otherwise.
Claims (12)
1. A vehicle fault prompt information acquisition method is applied to a fault calculation service device, and comprises the following steps:
acquiring user description information, vehicle information and diagnosis detection data from vehicle detection equipment from a user terminal;
extracting a target keyword matched with the user description information from a database of the vehicle detection equipment according to the user description information, and extracting a target diagnosis fault code and a target vehicle type corresponding to the vehicle information according to the user vehicle information;
analyzing the diagnosis detection data, and determining first abnormal item data meeting abnormal conditions from the diagnosis detection data;
determining candidate prompt information according to the first abnormal item data and preset prompt information;
matching target prompt information from the candidate prompt information according to the target keyword, the target diagnosis fault code and a preset corresponding relation; the preset corresponding relation refers to the corresponding relation among a plurality of diagnosis fault codes, the target vehicle type and the potential abnormal information;
and sending the target prompt information to the user equipment, wherein the target prompt information is used for prompting a system with a fault in the vehicle, a fault type and a corresponding fault processing mode.
2. The method of claim 1, wherein determining candidate tip information based on the first abnormal item data and preset tip information comprises:
matching each abnormal item data in the first abnormal item data with at least one preset prompting message;
and determining the preset prompt information with the matching degree higher than the preset matching degree as the candidate prompt information.
3. The method of claim 1, wherein the target diagnostic trouble codes include trouble codes, and wherein the trouble codes correspond to standard trouble codes, and wherein the trouble codes include a system to which a trouble belongs, a trouble type, a subsystem to which a trouble belongs, a trouble object, and a trouble type.
4. The method of claim 3, wherein prior to determining candidate tip information based on the first outlier data and preset tip information, the method further comprises:
acquiring a system to which the fault belongs, a fault type, a subsystem to which the fault belongs, a fault object and a fault type from the target diagnosis fault code;
and performing semantic conversion and merging processing according to the system to which the fault belongs, the fault type, the subsystem to which the fault belongs, the fault object and the fault type to obtain the preset prompt information.
5. The method of claim 4, wherein after extracting the target keyword matched with the user description information from the database of the vehicle detection device according to the user description information and extracting the target diagnosis fault code and the target vehicle type corresponding to the vehicle information according to the user vehicle information, the method further comprises:
acquiring a historical diagnosis fault report of the target vehicle type;
matching the target keyword and the target diagnostic trouble code with the historical diagnostic trouble data;
if target diagnosis fault data matched with the target keywords and the target diagnosis fault codes are matched, acquiring historical target prompt information corresponding to the target diagnosis fault data;
and sending the historical target prompt information serving as the target prompt information to the user equipment.
6. The method of claim 5, further comprising:
obtaining a third party diagnostic fault report from at least one fault calculation service device, the third party diagnostic fault report including a diagnostic report of at least one fault occurring in at least one system of a vehicle of at least one vehicle type;
and merging the third-party diagnosis fault report with the historical diagnosis fault report in the database so as to update the historical diagnosis fault report in the database.
7. A failure computation service apparatus, characterized in that the failure computation service apparatus includes:
the receiving and sending module is used for acquiring user description information, vehicle information and diagnosis detection data from the vehicle detection equipment from the user terminal;
the processing module is used for extracting a target keyword matched with the user description information from a database of the vehicle detection equipment according to the user description information and extracting a target diagnosis fault code and a target vehicle type corresponding to the vehicle information according to the user vehicle information; analyzing the diagnosis detection data, and determining first abnormal item data meeting abnormal conditions from the diagnosis detection data; determining candidate prompt information according to the first abnormal item data and preset prompt information; matching target prompt information from the candidate prompt information according to the target keyword, the target diagnosis fault code and a preset corresponding relation; the preset corresponding relation refers to the corresponding relation among a plurality of diagnosis fault codes, the target vehicle type and the potential abnormal information;
the transceiver module is further configured to send the target prompt information to the user equipment, where the target prompt information is used to prompt a system in which a fault occurs, a fault type, and a processing method of the corresponding fault in the vehicle.
8. The apparatus of claim 7, wherein the processing module, prior to determining the candidate cue information based on the first anomaly item data and the preset cue information, is further configured to:
acquiring a system to which the fault belongs, a fault type, a subsystem to which the fault belongs, a fault object and a fault type from the target diagnosis fault code;
and performing semantic conversion and merging processing according to the system to which the fault belongs, the fault type, the subsystem to which the fault belongs, the fault object and the fault type to obtain the preset prompt information.
9. The apparatus of claim 8, wherein the processing module, after extracting a target keyword matching the user description information from the database of the vehicle detection device according to the user description information and extracting a target diagnostic trouble code and a target vehicle type corresponding to the vehicle information according to the user vehicle information, is further configured to:
acquiring a historical diagnosis fault report of the target vehicle type;
matching the target keyword and the target diagnostic trouble code with the historical diagnostic trouble data;
if target diagnosis fault data matched with the target keywords and the target diagnosis fault codes are matched, acquiring historical target prompt information corresponding to the target diagnosis fault data;
and sending the historical target prompt information serving as the target prompt information to the user equipment.
10. The apparatus of claim 9, wherein the processing module is further configured to:
obtaining, by the transceiver module, a third party diagnostic fault report from at least one fault calculation service, the third party diagnostic fault report including a diagnostic report of at least one fault occurring with at least one system of a vehicle under at least one vehicle type;
and merging the third-party diagnosis fault report with the historical diagnosis fault report in the database so as to update the historical diagnosis fault report in the database.
11. An electronic device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the operation of the vehicle fault indication information acquisition method according to any one of claims 1-7.
12. A computer-readable storage medium having stored therein at least one executable instruction that, when executed on an electronic device, causes the electronic device to perform operations of the vehicle failure notice information acquisition method according to any one of claims 1 to 7.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
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| CN202110160755.8A CN112965871A (en) | 2021-02-05 | 2021-02-05 | Vehicle fault prompt information acquisition method and device and storage medium |
| PCT/CN2021/137487 WO2022166407A1 (en) | 2021-02-05 | 2021-12-13 | Vehicle breakdown prompt information acquiring method and apparatus, and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110160755.8A CN112965871A (en) | 2021-02-05 | 2021-02-05 | Vehicle fault prompt information acquisition method and device and storage medium |
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| CN202110160755.8A Pending CN112965871A (en) | 2021-02-05 | 2021-02-05 | Vehicle fault prompt information acquisition method and device and storage medium |
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| WO (1) | WO2022166407A1 (en) |
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