CN112327808A - Automobile fault diagnosis method and system and automobile fault diagnosis instrument - Google Patents
Automobile fault diagnosis method and system and automobile fault diagnosis instrument Download PDFInfo
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- CN112327808A CN112327808A CN202011241444.6A CN202011241444A CN112327808A CN 112327808 A CN112327808 A CN 112327808A CN 202011241444 A CN202011241444 A CN 202011241444A CN 112327808 A CN112327808 A CN 112327808A
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
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- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
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Abstract
The invention relates to the technical field of automobile diagnosis, in particular to an automobile fault diagnosis method and system and an automobile fault diagnosis instrument. Wherein, the method comprises the following steps: acquiring vehicle information and automobile fault information; uploading the vehicle information and the automobile fault information to a cloud server, and receiving a suspicious fault source returned by the cloud server according to the vehicle information and the automobile fault information; the user operates the displayed suspicious fault source to obtain a determined fault source; sending the determined fault source to the cloud server, and receiving detection process information returned by the cloud server according to the determined fault source; and carrying out automobile fault diagnosis according to the detection flow information. The implementation method provided by the invention can effectively improve the efficiency of automobile fault diagnosis.
Description
Technical Field
The invention relates to the technical field of automobile diagnosis, in particular to an automobile fault diagnosis method and system and an automobile fault diagnosis instrument.
Background
With the electrical and electronic, new energy and intelligent networking of automobiles, the problem of automobile faults is no longer a simple mechanical problem, and more faults include electrical faults, system communication, network buses and the like. Automotive failures have become more complex, involving a comprehensive problem in multiple areas, which has presented unprecedented challenges to service technicians.
The social reserve of intelligent networked automobiles is continuously increased, and a qualified automobile repair expert needs a long time to be cultivated, so that the supply and demand relationship is seriously unbalanced. Especially, many small-sized automobile repair plants cannot effectively solve the comprehensive problems, and usually, only the related modules can be disassembled and replaced one by one to verify and solve the faults, so that the method is very low in efficiency.
Therefore, how to efficiently solve the problem of the automobile faults has important significance.
Disclosure of Invention
The technical problem mainly solved by the embodiment of the invention is how to improve the efficiency of automobile fault diagnosis.
In order to solve the above technical problem, one technical solution adopted by the embodiment of the present invention is: provided is a vehicle fault diagnosis method, comprising:
acquiring vehicle information and automobile fault information;
uploading the vehicle information and the automobile fault information to a cloud server, and receiving and displaying a suspicious fault source returned by the cloud server according to the vehicle information and the automobile fault information;
obtaining a determined fault source according to the operation of the user on the displayed suspicious fault source;
sending the determined fault source to the cloud server, and receiving and displaying detection process information returned by the cloud server according to the determined fault source;
and carrying out automobile fault diagnosis according to the detection flow information.
Optionally, the acquiring the vehicle fault information includes:
controlling an automobile diagnosis measuring device to communicate with an automobile, and acquiring a fault code and a data stream of the automobile through the automobile diagnosis measuring device; alternatively, the first and second electrodes may be,
and receiving automobile fault information input by a user.
Optionally, the receiving the vehicle fault information input by the user includes:
receiving the automobile fault information input by a user in a handwriting or voice mode; alternatively, the first and second electrodes may be,
and receiving at least one type of automobile fault information selected from the provided fault description selection list by the user.
Optionally, the suspicious fault sources are classified according to the system components of the automobile and sorted according to the probability of the fault;
the suspected fault sources are displayed according to the classification and the ranking.
Optionally, the obtaining the determined fault source according to the operation of the user on the displayed suspected fault source includes:
according to the confirmation operation of the user on the displayed suspicious fault sources, all the displayed suspicious fault sources are obtained as determined fault sources; alternatively, the first and second electrodes may be,
according to the deleting operation of the user on the displayed suspicious fault source, the displayed deleted suspicious fault source is obtained as a determined fault source; alternatively, the first and second electrodes may be,
according to the selection operation of the user on the displayed suspicious fault source, the displayed selected suspicious fault source is obtained as a determined fault source; alternatively, the first and second electrodes may be,
and receiving new fault sources added by the user according to the newly added operation of the user on the displayed suspicious fault sources, and acquiring the displayed set of the suspicious fault sources and the new fault sources as the determined fault sources.
Optionally, the receiving, according to a new addition operation of the user to the displayed suspected fault source, a new fault source added by the user includes:
receiving new fault sources added in the classification result by a user according to the classification result of the suspicious fault source;
and the new fault source comprises a fault source determined by the user according to a preset newly added fault source table and/or a fault source determined by the user according to a historical maintenance case.
Optionally, the obtaining of the fault source determined by the user according to the preset newly added fault source table includes:
acquiring information input by a user in the preset newly added fault source table; the preset newly added fault source table comprises at least one of a name, a detection component, a measuring tool, a detection description, a disassembly and assembly description, a circuit diagram and a component terminal diagram;
and determining a fault source according to the information input by the user.
Optionally, the obtaining of the fault source determined by the user according to the historical maintenance case includes:
acquiring a historical maintenance case;
and receiving a fault source imported by a user according to the historical maintenance case, wherein the fault source is fault information needing to be checked in the historical maintenance case.
Optionally, the detection process information includes a detection plan, and the detection plan is used to make a detection and maintenance step of the determined fault sources and a detection and maintenance sequence of each fault source in the determined fault sources.
Optionally, the detection process information further includes at least one of vehicle technical data information and maintenance case information.
Optionally, the method further comprises:
and in the process of carrying out automobile fault diagnosis according to the detection flow information, displaying a test window and the detection flow information on the same interface.
Optionally, after the vehicle fault diagnosis is performed according to the detection process information, the method further includes:
judging whether a specific fault source is positioned or not;
if so, uploading the related data of the specific fault source to the cloud server;
and receiving and displaying a fault report generated by the cloud server according to the relevant data of the specific fault source.
Optionally, after the vehicle fault diagnosis is performed according to the detection process information, the method further includes:
displaying an editing template of the maintenance case;
receiving the editing operation of a user on the editing template of the maintenance case, and generating the maintenance case aiming at the determined fault source according to the editing operation;
and uploading the maintenance case to the cloud server.
Optionally, the displaying the editing template of the maintenance case includes:
and displaying an editing template of the maintenance case containing the detection process information, wherein the detection process information is in an editable state in the editing template.
Optionally, the editing template further includes a newly added module, and the newly added module is configured to receive newly added content input by a user.
In order to solve the above technical problem, another technical solution adopted by the embodiment of the present invention is: provided is an automobile fault diagnosis instrument, including: at least one processor; a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the vehicle fault diagnosis method as described above.
In order to solve the above technical problem, another technical solution adopted by the embodiment of the present invention is: provided is an automobile fault diagnosis system, including: the automobile fault diagnosis instrument; the cloud server is in communication connection with the automobile fault diagnosis instrument; and the automobile diagnosis measuring equipment is in communication connection with the automobile fault diagnosis instrument.
Different from the situation of the related technology, the embodiment of the invention obtains the vehicle information and the automobile fault information and uploads the information to the cloud server, the cloud server returns the suspicious fault source according to the information, the determined fault source is obtained through the operation of the user on the displayed suspicious fault source, the determined fault source is sent to the cloud server, the detection process information returned by the cloud server is received, and finally the automobile fault diagnosis is carried out according to the detection process information. The automobile fault diagnosis method, the automobile fault diagnosis instrument and the automobile fault diagnosis system provided by the embodiment of the invention can enable a user to access the cloud end through the mobile terminal in the automobile fault maintenance and detection process to obtain the relevant technical data of automobile detection and the automobile diagnosis help, thereby improving the efficiency of automobile fault diagnosis and being particularly helpful for maintenance technicians of small automobile repair factories.
Drawings
One or more embodiments are illustrated in drawings corresponding to, and not limiting to, the embodiments, in which elements having the same reference number designation may be represented as similar elements, unless specifically noted, the drawings in the figures are not to scale.
FIG. 1 is a schematic structural diagram of a vehicle fault diagnosis system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of the vehicle fault diagnosis apparatus 10 provided in the embodiment of the present invention;
FIG. 3 is a general functional block diagram of the vehicle fault diagnosis system provided by the embodiment of the invention;
FIG. 4 is a flow chart of a method for diagnosing vehicle faults according to an embodiment of the present invention;
FIG. 5 is a flow chart of a method for diagnosing vehicle faults according to another embodiment of the present invention;
FIG. 6 is a flow chart of a method for diagnosing vehicle faults according to another embodiment of the present invention;
fig. 7a to 7f are schematic system diagrams of a vehicle fault diagnosis method according to an embodiment of the present invention;
fig. 8 is a block diagram of a vehicle fault diagnosis apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Fig. 1 is a schematic structural diagram of an automobile fault diagnosis system according to an embodiment of the present invention. As shown in fig. 1, the system 100 includes: the system comprises an automobile fault diagnosis instrument 10, a cloud server 20 and an automobile diagnosis measuring device 30. The automobile fault diagnosis instrument 10 is respectively in communication connection with the cloud server 20 and the automobile diagnosis measuring equipment 30, and the automobile diagnosis measuring equipment 30 is connected with an automobile to be diagnosed. The vehicle fault diagnosis apparatus 10 may establish a communication connection with the vehicle diagnosis and measurement device 30 through a wireless connection (e.g., WIFI) or a wired connection (e.g., USB). The automobile fault diagnosis instrument 10 can be connected with the cloud server 20 through wireless networks such as WIFI, 4G or 5G. Fig. 1 shows only one vehicle failure diagnosis apparatus 10, one cloud server 20, and one vehicle diagnosis measurement device 30, and it is understood that a plurality of vehicle failure diagnosis apparatuses 10 and a plurality of vehicle diagnosis measurement devices 30 may be further included. The plurality of vehicle failure diagnosis instruments 10 are all in communication connection with the cloud server 20, and the plurality of vehicle failure diagnosis instruments and the plurality of vehicle diagnosis measurement devices 30 may be in a one-to-one correspondence relationship.
In this embodiment, when performing fault diagnosis on an automobile, a user may obtain vehicle information and automobile fault information of the automobile to be diagnosed through the automobile fault diagnosis instrument 10, determine a fault source by querying and accessing the cloud server 20, obtain detection process information through the cloud server 20, perform fault diagnosis and location on the automobile to be diagnosed through the automobile diagnosis measurement device 30 according to the detection process information, determine a specific fault source, and generate a fault report, and further generate a corresponding maintenance case for the determined fault source, where the fault report and the maintenance case may be uploaded to the cloud server 20.
The detection flow information comprises a detection plan, and the detection plan is used for making a detection and maintenance step of the determined fault sources and a detection and maintenance sequence of each fault source in the determined fault sources. The detection process information may further include at least one of automotive technical data information and maintenance case information.
The fault report includes information such as vehicle information, fault phenomena, and a picture of the located faulty component and component. The maintenance case is a case template generated after a user locates a problem through a detection planning step combined by the user, and the case template comprises vehicle information, a fault phenomenon, a located fault part and a photo of the part, a detection step for solving the problem, a detection tool required to be used, a connection mode and a circuit diagram of the detection tool, notes in the detection process, an expected result after the problem is solved and the like. In the maintenance case, the user can comment on the detection steps, can also mark the use parameters of the detection tools, and the like.
In the system 100, all users can directly upload maintenance detection data (such as fault reports, maintenance cases, comments on fault reports or maintenance cases, etc.) of the users each time to the cloud server 20 through the vehicle fault diagnosis apparatus 10, and can share the data to all users through the cloud end to assist the users in vehicle maintenance diagnosis or provide learning reference and experience sharing for the users. In addition, based on the data uploaded by the user, the cloud server 20 may also integrate the data uploaded by the user and other data through a big data technology, and automatically recommend reasonable detection process information to the user according to the vehicle information and the fault symptom characteristics of the user, and the detection tool may be associated with each step of detection to guide the user to perform disassembly and assembly, view circuit diagrams, how to wire and start detection, judge the detection result, and the like. The system 100 can provide inquiry and sharing of user maintenance experience, provide more automobile fault diagnosis ways, and improve the efficiency of automobile fault diagnosis.
The vehicle fault diagnosis apparatus 10 may be various types of diagnosis apparatus devices, and may also be a mobile terminal device (such as a smart phone, a tablet computer, a notebook computer, etc.). The automobile fault diagnosis instrument 10 is used for automobile fault diagnosis, and when the automobile fault diagnosis is performed, the automobile fault diagnosis instrument may be specifically executed through an application program APP, the application program may be run in the automobile fault diagnosis instrument 10 based on the android7.0 operating system, and the application program may be an android APP developed by using Java language. Of course, the vehicle fault diagnosis apparatus 10 may also adopt other operating systems, and the application program may also be developed by using other languages.
The vehicle fault diagnosis apparatus 10 may include a vehicle receiving module, a suspicious fault source information confirmation module, a modification and customization module, a detection flow generation and flow execution control module, a maintenance case display and editing, uploading and sharing module, a detection result report generation and display module, and the like. The vehicle receiving module can be used for helping a user input vehicle brands, annual money, driving mileage, fault symptom characteristics, historical maintenance information, fault phenomenon information and the like. The suspicious fault source information confirmation module is used for determining the fault source of the automobile. The modification and customization module can be used for enabling a user to modify and customize the fault source. And the generation detection process and process execution control module is used for generating a detection plan according to the detection process information and carrying out automobile fault diagnosis according to the detection plan. The maintenance case display and editing uploading sharing module is configured to upload the maintenance cases generated in the automobile fault diagnosis process to the cloud server 20, where a user may edit the generated maintenance cases, such as editing a title of the maintenance case and a description of a diagnosis idea, and perform a comment on measurement information in a certain step (e.g., a signal waveform feature comment), and the user may also add videos and pictures in the diagnosis process to the maintenance cases. The detection result report generation and display module is used for acquiring a fault report in the automobile fault diagnosis process, uploading the fault report to the cloud server 20, and displaying the fault report and the maintenance case on the automobile fault diagnosis instrument 10 or the cloud server 20.
In the present embodiment, as shown in fig. 2, the vehicle failure diagnosis apparatus 10 includes: one or more processors 11 and a memory 12, with one processor 11 being an example in fig. 2.
The processor 11 and the memory 12 may be connected by a bus or other means, such as the bus connection in fig. 2.
The memory 12 is a non-volatile computer-readable storage medium, and can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as the vehicle receiving module, the suspected fault source information confirming module, the modifying and customizing module, the detection flow generation and flow execution control module, the maintenance case display and editing, uploading, sharing module, and the detection result report generation and display module. The processor 11 executes various functional applications and data processing of the vehicle failure diagnosis apparatus 10 by executing nonvolatile software programs, instructions, and modules stored in the memory 12, that is, implements the vehicle failure diagnosis method in the following method embodiment.
The memory 12 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the vehicle failure diagnosis apparatus described below, and the like. Further, the memory 12 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the memory 12 may optionally include a memory remotely disposed from the processor 11, and these remote memories may be connected to a vehicle failure diagnosis apparatus described below through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory 12 and, when executed by the one or more processors 11, perform the vehicle fault diagnosis method in any of the method embodiments described below, e.g., performing the method steps of fig. 4, 5, and 6 described below, and implementing the functions of the modules in fig. 8.
The automobile fault diagnosis instrument 10 can execute the automobile fault diagnosis method provided by the embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiment of the present invention.
The cloud server 20 may specifically be a server or a server cluster. The cloud server 20 may be a micro-service basic framework system built based on spring cloud, and the services provided by the system include vehicle information service, fault symptom characteristic information service, detection process information service, automobile technical data information service, maintenance case content information service, maintenance case recommendation service, and providing vehicle information, automobile symptom characteristic information correlation detection process, correlation automobile technical information, and correlation maintenance case information interface service for the mobile terminal. Each service supports access query modification of information. The service case recommendation service can be recommended according to the association of the reading heat of the articles of the service case inquired and read by the user at the mobile terminal and the brand information of the vehicle selected by the current user. The mobile terminal may be the above-mentioned automobile fault diagnosis apparatus 10.
In this embodiment, the cloud server 20 is specifically configured to obtain a suspicious fault source according to vehicle information and vehicle fault information uploaded by the vehicle fault diagnosis apparatus 10, where the vehicle information includes a VIN code, a brand, a vehicle type, a year, an engine model, a driving mileage, a historical maintenance record or a latest maintenance record of the vehicle. The automobile fault information comprises fault phenomena and fault characteristics. The cloud server 20 integrates the vehicle information and the vehicle fault information to obtain a possible fault source, i.e., a suspected fault source, and sends the suspected fault source to the vehicle fault diagnosis apparatus 10. The suspicious fault sources displayed on the vehicle fault diagnosis apparatus 10 can be edited (such as confirmation, deletion, selection, addition, etc.) by the user, and finally the fault sources are determined, and the cloud server 20 generates detection process information according to the determined fault sources, wherein the cloud server 20 stores fault source information corresponding to vehicles of various types and years, and methods for solving faults, such as historical maintenance cases, case analysis, detection reports, etc. The cloud service 20 may generate detection process information corresponding to the current vehicle to be diagnosed according to the stored information and the determined fault source, and send the detection process information to the vehicle fault diagnosis apparatus 10.
In the present embodiment, the cloud server 20 can collect all information related to vehicle diagnosis, and the information is continuously updated, so that the user can perform vehicle diagnosis according to the vehicle fault diagnosis apparatus 10 more intelligently and massively based on the cloud server 20, and in addition, the improvement of the actual skill and professional knowledge skill of the vehicle service technicians is greatly facilitated.
The automobile diagnosis and measurement device 30 is a device supporting diagnosis and measurement functions such as automobile communication diagnosis, oscilloscope, multimeter, signal generator, and OBD bus analysis. The vehicle diagnostic measuring device 30 can be used to read information such as fault codes, data streams, etc. of the vehicle. Wherein, during the process of executing the detection plan by the vehicle fault diagnosis instrument 10 to perform the vehicle fault diagnosis, an instruction can be sent to the vehicle diagnosis measuring device 30 to implement the related diagnosis function. For example, in each process step, a signal waveform, a current, a voltage, and the like of a certain component of an automobile may be measured, and the certain component of the automobile may be measured through four analog channels and a multimeter interface in the automobile diagnosis and measurement device 30, the automobile diagnosis and measurement device 30 returns a measurement result to the automobile fault diagnosis instrument 10, and the automobile fault diagnosis instrument 10 distinguishes a next detection or ends a detection according to the measurement result.
It should be noted that the detailed process of the automobile diagnosis and measurement device 30 for implementing the above functions is not specifically analyzed here, and other related technologies may be referred to.
As shown in fig. 3, the present embodiment further provides a general functional block diagram of the vehicle fault diagnosis system 100, and the system 100 implements the functions in fig. 3 based on the vehicle fault diagnosis apparatus 10, the cloud server 20, and the vehicle diagnosis measurement device 30. In this embodiment, the automobile fault diagnosis system 100 mainly includes four subsystems, which are a vehicle communication diagnosis system, an automobile component measurement system, an OBD diagnosis system, and a cloud service system. The functions and associations of the four subsystems are shown in fig. 3.
On one hand, the automobile fault diagnosis system provided by the embodiment of the invention improves the efficiency of automobile fault diagnosis; on the other hand, the automobile fault diagnosis device realizes the big datamation, interconnection and intellectualization of automobile fault diagnosis, provides a more convenient way for a user to learn automobile diagnosis, actual operation, experience sharing and the like when the automobile fault diagnosis is specifically related, and is convenient for communication among different users.
Fig. 4 is a flowchart of a method for diagnosing a vehicle fault according to an embodiment of the present invention, where the method is executed by the vehicle fault diagnostic apparatus 10, and the method includes:
s101, obtaining vehicle information and automobile fault information;
wherein, the acquiring of the vehicle fault information comprises: and controlling the automobile diagnosis measuring equipment to communicate with the automobile, and acquiring the fault code and the data stream of the automobile through the automobile diagnosis measuring equipment. The automobile diagnosis measuring equipment can read the fault code and the data stream based on the J2534 communication protocol.
Acquiring the vehicle fault information further comprises: and receiving automobile fault information input by a user.
Wherein, the receiving of the vehicle fault information input by the user comprises:
receiving the automobile fault information input by a user in a handwriting or voice mode; alternatively, the first and second electrodes may be,
and receiving at least one type of automobile fault information selected from the provided fault description selection list by the user. The fault description list can be used for recording common fault information corresponding to the current vehicle type, and a user can select one or more fault information.
S102, uploading the vehicle information and the automobile fault information to a cloud server, and receiving and displaying a suspicious fault source returned by the cloud server according to the vehicle information and the automobile fault information;
the vehicle information includes, but is not limited to, the VIN code, brand, model, year, engine model, mileage, historical service record, or last service record of the vehicle. The automobile fault information comprises fault phenomena, fault characteristics and the like. The failure phenomenon is a natural phenomenon, such as engine rolling, etc., exhibited when the failure occurs. The fault characteristic is a characteristic which is characterized when the fault phenomenon occurs, such as no initial combustion of the engine.
The suspicious fault source is obtained by analyzing the vehicle information and the automobile fault information, and which parts of the automobile possibly have problem faults. The finally displayed suspicious failure sources can be classified according to the system components of the automobile and sorted according to the probability of failure, and are displayed according to the classification and the sorting.
In this embodiment, the user is required to determine the final fault source according to the displayed suspicious fault source, so that the fault source is accurately positioned, and the accuracy of automobile fault diagnosis is improved.
S103, obtaining a determined fault source according to the operation of the user on the displayed suspicious fault source;
wherein, the obtaining the determined fault source according to the operation of the user on the displayed suspicious fault source comprises:
according to the confirmation operation of the user on the displayed suspicious fault sources, all the displayed suspicious fault sources are obtained as determined fault sources; alternatively, the first and second electrodes may be,
according to the deleting operation of the user on the displayed suspicious fault source, the displayed deleted suspicious fault source is obtained as a determined fault source; alternatively, the first and second electrodes may be,
according to the selection operation of the user on the displayed suspicious fault source, the displayed selected suspicious fault source is obtained as a determined fault source; alternatively, the first and second electrodes may be,
and receiving new fault sources added by the user according to the newly added operation of the user on the displayed suspicious fault sources, and acquiring the displayed set of the suspicious fault sources and the new fault sources as the determined fault sources.
The confirmation operation may be a user operating a "select all" button on the vehicle diagnostic apparatus 10 so as to select all of the suspected fault sources by one button. The user can also select some suspicious failure sources as determined failure sources, and the actions of selecting the suspicious failure sources include but are not limited to clicking a screen, checking failure source numbers, voice selection and the like. The user can also delete one or more of the suspected fault sources, and the remaining suspected fault sources are used as the determined fault sources.
Wherein, according to the newly added operation of the user to the suspicious fault source displayed, receiving the new fault source added by the user comprises: receiving new fault sources added in the classification result by a user according to the classification result of the suspicious fault source; the new fault source comprises a fault source determined by the user according to a preset newly added fault source table and/or a fault source determined by the user according to a historical maintenance case.
Acquiring a fault source determined by the user according to a preset newly added fault source table comprises the following steps:
acquiring information input by a user in the preset newly added fault source table; the preset newly added fault source table comprises at least one of a name, a detection component, a measuring tool, a detection description, a disassembly and assembly description, a circuit diagram and a component terminal diagram; and determining a fault source according to the information input by the user.
The step of obtaining the fault source determined by the user according to the historical maintenance case comprises the following steps: acquiring a historical maintenance case; and receiving a fault source imported by a user according to the historical maintenance case, wherein the fault source is fault information needing to be checked in the historical maintenance case.
In the process, the user can edit the new fault source according to the preset new fault source table. New fault sources may also be imported from historical repair cases. It should be noted that the newly added fault source table may be updated in real time, for example, the user adjusts the preset newly added fault source table according to the current requirement. The historical maintenance cases can also be historical maintenance cases related to the current vehicle information to be diagnosed, and comprise classic cases, wherein the classic cases comprise success cases with the largest historical browsing times or the largest evaluation or approval, and classic failure cases. Therefore, fault source information is enriched, and reference is provided for fault diagnosis and subsequent diagnosis case generation.
S104, sending the determined fault source to the cloud server, and receiving and displaying detection process information returned by the cloud server according to the determined fault source;
and the detection flow information comprises a detection plan, and the detection plan is used for making the detection and maintenance steps of the determined fault sources and the detection and maintenance sequence of each fault source in the determined fault sources. If the determined failure source includes a plurality of failure sources, a step of inspection and repair for each failure source and an inspection and repair order for all failure sources may be provided.
The detection process information also comprises at least one of automobile technical data information and maintenance case information. The automobile technical data information and the maintenance case information are used for providing reference for a user to generate a maintenance case of the user.
And S105, carrying out automobile fault diagnosis according to the detection process information.
The embodiment of the invention provides a method for diagnosing automobile faults, and parts which are not described in detail in the embodiment can be referred to the system embodiment.
On one hand, the automobile fault diagnosis method provided by the embodiment of the invention improves the efficiency of automobile fault diagnosis; on the other hand, the automobile fault diagnosis device realizes the big datamation, interconnection and intellectualization of automobile fault diagnosis, provides a more convenient way for a user to learn automobile diagnosis, actual operation and experience sharing when the automobile fault diagnosis is specifically related, and is convenient for communication among different users.
Fig. 5 is a flowchart of a method for diagnosing a vehicle fault according to another embodiment of the present invention, and the main difference between fig. 5 and fig. 4 is that the method further includes:
and S106, displaying a test window and the detection process information on the same interface in the process of carrying out automobile fault diagnosis according to the detection process information.
In this embodiment, the detection plan may be optimized according to the vehicle technical data information and the maintenance case information provided by the cloud server, for example, by referring to a solution of a historical maintenance case with the same fault problem, so as to modify or confirm a currently executed process.
The detection plan, the technical information of the vehicle, the maintenance case, and the real-time display of the detection process can be displayed on the display interface of the vehicle fault diagnosis apparatus 10 in a split screen manner. The technical data information of the automobile comprises a circuit diagram, detection instructions and the like. The split screen display interface can help a user to diagnose the automobile fault conveniently.
The maintenance case information comprises all maintenance cases relevant to current automobile fault diagnosis, and all maintenance cases can be classified and sorted based on machine learning, so that the most relevant maintenance cases are displayed at the top of a case base to facilitate the user to check. The user can input the key words according to the requirement, so that the maintenance cases corresponding to the key words are searched and displayed in the case base.
The automobile fault diagnosis method provided by the embodiment of the invention further discloses that the automobile technical data information and the maintenance case information which are related to the automobile fault diagnosis and returned by the cloud server can be received and displayed at the mobile terminal of the user on the basis of the method embodiment, so that the reference can be provided for the user during the automobile diagnosis, and the diagnosis operation of the user is facilitated.
Fig. 6 is a flowchart of a vehicle fault diagnosis method according to another embodiment of the present invention, and the main difference between fig. 6 and fig. 5 is that after vehicle fault diagnosis is performed according to the detection flow information, the method further includes:
s107, judging whether a specific fault source is positioned or not;
if so, the following step S108 is executed.
S108, uploading the related data of the specific fault source to the cloud server;
and S109, receiving and displaying a fault report generated by the cloud server according to the relevant data of the specific fault source.
The specific fault source is positioned by successfully finding the position and the fault reason of the fault, at this time, the part with the problem can be photographed, a fault report is generated according to the vehicle information, the fault part, the fault reason, the represented fault phenomenon, the photograph information and the like, and the fault report is uploaded to a cloud server or stored locally.
After the failed component is replaced and the commissioning failure is successfully resolved, a service case may be generated.
In some embodiments, after the vehicle fault diagnosis is performed according to the detection process information, the method further includes: displaying an editing template of the maintenance case; receiving the editing operation of a user on the editing template of the maintenance case, and generating the maintenance case aiming at the determined fault source according to the editing operation; and uploading the maintenance case to the cloud server.
Wherein, the edit template for displaying the maintenance case comprises: and displaying an editing template of the maintenance case containing the detection process information, wherein the detection process information is in an editable state in the editing template. The user can modify or supplement the detection steps in the detection flow information and can also comment one or more detection steps. The editing template further comprises a newly added module, and the newly added module is used for receiving newly added contents input by a user. The user's comment on one or more of the detection steps can be input through the newly added template.
The maintenance case is a case template generated after a user locates a problem through a detection planning step combined by the user, and the case template comprises vehicle information, a fault phenomenon, a located fault part and a photo of the part, a detection step for solving the problem, a detection tool required to be used, a connection mode and a circuit diagram of the detection tool, notes in the detection process, an expected result after the problem is solved and the like.
When the maintenance case is generated, the maintenance case can be directly generated based on the format of the existing maintenance case, and the maintenance case can also be customized by a user.
For example, the user edits the content as required, including the case title, the diagnosis idea description, and the comment or comment on the measurement information of a certain step in the middle, etc. The user may also set the line format of the repair case, including selecting a font, font color, whether to specially mark, etc. In addition, the user can also associate other maintenance cases related to the present maintenance case, such as attaching links or exits of other maintenance cases.
The generated maintenance cases can be uploaded to the cloud server 20 for browsing and reference by other users.
In this embodiment, the maintenance case may be executed by the user to perform operations such as "like", "collect", "share", "comment", and the like. The user can set the authority of the maintenance case aiming at the maintenance case generated by the user, such as 'public', 'visible only to the user' and 'visible only to friends'.
The automobile fault diagnosis method can form a user ecological circle in the field of automobile diagnosis, and in the circle, communication and learning of users are facilitated, friends can be added mutually, and great help is provided for improving efficiency and quality of automobile fault diagnosis, enhancing viscosity of the users and a platform and the like.
The following describes the whole process of the vehicle fault diagnosis provided by the embodiment of the present invention by a specific example, as shown in fig. 7a to 7f, when the vehicle is ready to perform fault diagnosis, the vehicle receiving operation is executed, the vehicle information of the current vehicle is obtained, and the fault information is input; and then generating suspicious fault sources based on the input vehicle information and the fault information, as shown in fig. 7b, the suspicious fault sources can be sorted and displayed according to the categories of the vehicle system components and the probability of the fault, and the user can add or delete the suspicious fault sources under each category. The user can also customize the fault source, such as inputting fault source information by the user himself, or importing fault source information according to other maintenance cases, and the like. Fig. 7c to 7e are schematic diagrams of the user adding a failure source. And after the fault source is finally determined, the cloud end can determine a detection process and send the detection process to the mobile terminal, and at the moment, a user can establish a detection plan according to the detection process, a detection tool, a detection scene and the like which currently exist, and execute the detection plan. In the process of executing the detection plan, the result of each step can be displayed on a display interface of the mobile terminal in real time, and the interface can also display other information such as the detection plan, the detection description, the circuit diagram, the case base and the like. After the fault detection and positioning are successful, a fault part can be photographed and uploaded, a fault report can also be generated, the fault part is replaced and then a trial run fault is successfully solved, a maintenance case can be generated, and a user can edit the content of the maintenance case, such as a case title, diagnosis thought description, measurement information comment of a certain middle step (such as signal waveform characteristics), and the user can upload videos and pictures. And after the fault report and the maintenance case are finished, the fault report and the maintenance case can be shared to a case base and promoted by a third-party public platform.
Fig. 8 is a block diagram of a vehicle fault diagnosis apparatus according to an embodiment of the present invention. The device can be applied to the above-described automobile failure diagnosis apparatus 10 in particular. The device 40 comprises: an information acquisition module 41, a first processing module 42, an editing module 43, a second processing module 44, and a diagnostic module 45.
The information acquisition module 41 is used for acquiring vehicle information and automobile fault information; the first processing module 42 is configured to upload the vehicle information and the vehicle fault information to a cloud server, and receive and display a suspicious fault source returned by the cloud server according to the vehicle information and the vehicle fault information; the editing module 43 is configured to obtain a determined fault source according to an operation of the user on the displayed suspected fault source; the second processing module 44 is configured to send the determined fault source to the cloud server, and receive and display detection process information returned by the cloud server according to the determined fault source; the diagnosis module 45 is configured to perform vehicle fault diagnosis according to the detection process information.
The information obtaining module 41 is specifically configured to: controlling an automobile diagnosis measuring device to communicate with an automobile, and acquiring a fault code and a data stream of the automobile through the automobile diagnosis measuring device; or receiving automobile fault information input by a user.
Wherein, the receiving of the vehicle fault information input by the user comprises: receiving the automobile fault information input by a user in a handwriting or voice mode; or receiving at least one type of automobile fault information selected by a user from the provided fault description selection list.
The suspicious fault sources are classified according to various system components of the automobile and are sorted according to the probability of faults; the suspected fault sources are displayed according to the classification and the ranking.
The editing module 43 is specifically configured to:
according to the confirmation operation of the user on the displayed suspicious fault sources, all the displayed suspicious fault sources are obtained as determined fault sources; alternatively, the first and second electrodes may be,
according to the deleting operation of the user on the displayed suspicious fault source, the displayed deleted suspicious fault source is obtained as a determined fault source; alternatively, the first and second electrodes may be,
according to the selection operation of the user on the displayed suspicious fault source, the displayed selected suspicious fault source is obtained as a determined fault source; alternatively, the first and second electrodes may be,
and receiving new fault sources added by the user according to the newly added operation of the user on the displayed suspicious fault sources, and acquiring the displayed set of the suspicious fault sources and the new fault sources as the determined fault sources.
The receiving, according to the newly added operation of the user on the displayed suspicious fault source, a new fault source added by the user includes: receiving new fault sources added in the classification result by a user according to the classification result of the suspicious fault source; and the new fault source comprises a fault source determined by the user according to a preset newly added fault source table and/or a fault source determined by the user according to a historical maintenance case.
Acquiring a fault source determined by the user according to a preset newly added fault source table comprises the following steps:
acquiring information input by a user in the preset newly added fault source table; the preset newly added fault source table comprises at least one of a name, a detection component, a measuring tool, a detection description, a disassembly and assembly description, a circuit diagram and a component terminal diagram; and determining a fault source according to the information input by the user.
The step of obtaining the fault source determined by the user according to the historical maintenance case comprises the following steps:
acquiring a historical maintenance case;
and receiving a fault source imported by a user according to the historical maintenance case, wherein the fault source is fault information needing to be checked in the historical maintenance case.
And the detection flow information comprises a detection plan, and the detection plan is used for making the detection and maintenance steps of the determined fault sources and the detection and maintenance sequence of each fault source in the determined fault sources.
Optionally, the detection process information further includes at least one of vehicle technical data information and maintenance case information.
In some embodiments, as also shown in fig. 8, the apparatus 40 further comprises a third processing module 46. The third processing module 46 is configured to display a test window and the detection process information on the same interface in the process of performing the vehicle fault diagnosis according to the detection process information.
In some embodiments, as also shown in fig. 8, after the vehicle fault diagnosis is performed according to the detection process information, the apparatus 40 further includes a fourth processing module 47, where the fourth processing module 47 is configured to: judging whether a specific fault source is positioned or not; if so, uploading the related data of the specific fault source to the cloud server; and receiving and displaying a fault report generated by the cloud server according to the relevant data of the specific fault source.
In some embodiments, as also shown in fig. 8, after the vehicle fault diagnosis is performed according to the detection process information, the apparatus 40 further includes a fifth processing module 48, where the fifth processing module 48 is configured to: displaying an editing template of the maintenance case; receiving the editing operation of a user on the editing template of the maintenance case, and generating the maintenance case aiming at the determined fault source according to the editing operation; and uploading the maintenance case to the cloud server.
Wherein, the edit template for displaying the maintenance case comprises:
and displaying an editing template of the maintenance case containing the detection process information, wherein the detection process information is in an editable state in the editing template.
The editing template further comprises a newly added module, and the newly added module is used for receiving newly added contents input by a user.
It should be noted that the vehicle fault diagnosis device can execute the vehicle fault diagnosis method provided by the embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in the embodiment of the vehicle fault diagnosis device, reference may be made to the vehicle fault diagnosis method provided in the embodiment of the present invention.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; within the idea of the invention, also technical features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
Claims (17)
1. A method for diagnosing a fault of a vehicle, comprising:
acquiring vehicle information and automobile fault information;
uploading the vehicle information and the automobile fault information to a cloud server, and receiving and displaying a suspicious fault source returned by the cloud server according to the vehicle information and the automobile fault information;
obtaining a determined fault source according to the operation of the user on the displayed suspicious fault source;
sending the determined fault source to the cloud server, and receiving and displaying detection process information returned by the cloud server according to the determined fault source;
and carrying out automobile fault diagnosis according to the detection flow information.
2. The method of claim 1, wherein the obtaining vehicle fault information comprises:
controlling an automobile diagnosis measuring device to communicate with an automobile, and acquiring a fault code and a data stream of the automobile through the automobile diagnosis measuring device; alternatively, the first and second electrodes may be,
and receiving automobile fault information input by a user.
3. The method of claim 2, wherein receiving user-input vehicle fault information comprises: receiving the automobile fault information input by a user in a handwriting or voice mode; alternatively, the first and second electrodes may be,
and receiving at least one type of automobile fault information selected from the provided fault description selection list by the user.
4. The method according to any one of claims 1 to 3,
the suspicious fault sources are classified according to various system components of the automobile and are sorted according to the probability of the fault;
the suspected fault sources are displayed according to the classification and the ranking.
5. The method of claim 4, wherein obtaining the determined fault source based on user operation of the displayed suspected fault source comprises:
according to the confirmation operation of the user on the displayed suspicious fault sources, all the displayed suspicious fault sources are obtained as determined fault sources; alternatively, the first and second electrodes may be,
according to the deleting operation of the user on the displayed suspicious fault source, the displayed deleted suspicious fault source is obtained as a determined fault source; alternatively, the first and second electrodes may be,
according to the selection operation of the user on the displayed suspicious fault source, the displayed selected suspicious fault source is obtained as a determined fault source; alternatively, the first and second electrodes may be,
and receiving new fault sources added by the user according to the newly added operation of the user on the displayed suspicious fault sources, and acquiring the displayed set of the suspicious fault sources and the new fault sources as the determined fault sources.
6. The method of claim 5, wherein receiving new fault sources added by a user according to the new adding operation of the user to the displayed suspected fault sources comprises:
receiving new fault sources added in the classification result by a user according to the classification result of the suspicious fault source;
and the new fault source comprises a fault source determined by the user according to a preset newly added fault source table and/or a fault source determined by the user according to a historical maintenance case.
7. The method of claim 6, wherein obtaining the fault source determined by the user according to a preset newly added fault source table comprises:
acquiring information input by a user in the preset newly added fault source table; the preset newly added fault source table comprises at least one of a name, a detection component, a measuring tool, a detection description, a disassembly and assembly description, a circuit diagram and a component terminal diagram;
and determining a fault source according to the information input by the user.
8. The method of claim 6, wherein obtaining the fault source determined by the user from historical service cases comprises:
acquiring a historical maintenance case;
and receiving a fault source imported by a user according to the historical maintenance case, wherein the fault source is fault information needing to be checked in the historical maintenance case.
9. The method of claim 1, wherein the inspection flow information includes an inspection plan for formulating inspection and repair steps for the determined fault sources and an inspection and repair sequence for each of the determined fault sources.
10. The method of claim 9, wherein the inspection process information further comprises at least one of automotive technical data information and service case information.
11. The method of claim 1, further comprising:
and in the process of carrying out automobile fault diagnosis according to the detection flow information, displaying a test window and the detection flow information on the same interface.
12. The method of claim 1, wherein after the vehicle fault diagnosis is performed according to the detection process information, the method further comprises:
judging whether a specific fault source is positioned or not;
if so, uploading the related data of the specific fault source to the cloud server;
and receiving and displaying a fault report generated by the cloud server according to the relevant data of the specific fault source.
13. The method of claim 1, wherein after the vehicle fault diagnosis is performed according to the detection process information, the method further comprises:
displaying an editing template of the maintenance case;
receiving the editing operation of a user on the editing template of the maintenance case, and generating the maintenance case aiming at the determined fault source according to the editing operation;
and uploading the maintenance case to the cloud server.
14. The method of claim 13, wherein displaying the edit template for the service case comprises:
and displaying an editing template of the maintenance case containing the detection process information, wherein the detection process information is in an editable state in the editing template.
15. The method of claim 14, wherein the editing template further comprises an add module for receiving user input of an add content.
16. An automobile fault diagnosis instrument, characterized by comprising:
at least one processor;
a memory communicatively coupled to the at least one processor;
wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the vehicle fault diagnosis method of any one of claims 1 to 15.
17. An automotive fault diagnosis system, characterized by comprising:
the vehicle failure diagnostic instrument according to claim 16;
the cloud server is in communication connection with the automobile fault diagnosis instrument;
and the automobile diagnosis measuring equipment is in communication connection with the automobile fault diagnosis instrument.
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| PCT/CN2021/127135 WO2022095790A1 (en) | 2020-11-09 | 2021-10-28 | Automobile failure diagnosis method and system, and automobile failure diagnostic unit |
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Application publication date: 20210205 |