CN108563214A - Vehicular diagnostic method, device and equipment - Google Patents
Vehicular diagnostic method, device and equipment Download PDFInfo
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- CN108563214A CN108563214A CN201810382862.3A CN201810382862A CN108563214A CN 108563214 A CN108563214 A CN 108563214A CN 201810382862 A CN201810382862 A CN 201810382862A CN 108563214 A CN108563214 A CN 108563214A
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- 238000002405 diagnostic procedure Methods 0.000 title claims abstract description 7
- 208000024891 symptom Diseases 0.000 claims abstract description 184
- 238000000034 method Methods 0.000 claims abstract description 89
- 238000003745 diagnosis Methods 0.000 claims abstract description 74
- 230000015654 memory Effects 0.000 claims description 13
- 238000004590 computer program Methods 0.000 claims description 12
- 238000012163 sequencing technique Methods 0.000 claims description 11
- 238000012986 modification Methods 0.000 claims description 8
- 230000004048 modification Effects 0.000 claims description 8
- 238000001514 detection method Methods 0.000 abstract 1
- 238000004891 communication Methods 0.000 description 29
- 230000008569 process Effects 0.000 description 19
- 238000010586 diagram Methods 0.000 description 12
- 230000002159 abnormal effect Effects 0.000 description 9
- 238000012423 maintenance Methods 0.000 description 5
- 230000005540 biological transmission Effects 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 238000012790 confirmation Methods 0.000 description 3
- 239000000446 fuel Substances 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000008439 repair process Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000004092 self-diagnosis Methods 0.000 description 1
- 230000005236 sound signal Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- 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
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
- G05B23/0227—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- 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
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0275—Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
- G05B23/0278—Qualitative, e.g. if-then rules; Fuzzy logic; Lookup tables; Symptomatic search; FMEA
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- Quality & Reliability (AREA)
- Vehicle Cleaning, Maintenance, Repair, Refitting, And Outriggers (AREA)
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Abstract
A kind of Vehicular diagnostic method of present invention offer, device and equipment, this method include：Obtain the failure symptom information of vehicle；According to the failure symptom information of the vehicle, target faults problem is determined；Determine solution corresponding with the target faults problem.Error code, the acquisition range of data flow are reduced without carrying out complete detection to vehicle using the method in the present invention, diagnosis efficiency is high, and can directly be diagnosed to vehicle according to failure symptom information, not only simplifies diagnostic process, also so that diagnostic result is relatively reliable comprehensively, applicability is wide.
Description
Technical Field
The invention relates to the technical field of automobile fault diagnosis, in particular to a vehicle diagnosis method, device and equipment.
Background
With the development of vehicle diagnostic technology, when vehicle fault diagnosis is performed, various diagnostic parameters of a vehicle are often detected, tested and analyzed by means of a professional diagnostic instrument to determine a fault cause of the vehicle. And then selecting a corresponding solution to maintain the vehicle according to the determined fault reason.
At present, the diagnosis process of the vehicle diagnosis instrument in the market is generally as follows: firstly, determining a vehicle type, and then performing operations such as fault code scanning, data stream reading and the like; and finally, manually analyzing the fault code and the data stream output by the diagnostic instrument to determine the fault problem.
However, the existing vehicle diagnostic apparatus needs to scan a large number of fault codes and communicate data stream for the vehicle, the diagnostic efficiency is low, and the obtained diagnostic result is difficult to accurately locate the fault problem, so that the existing vehicle diagnostic apparatus has higher requirements on experience and capability of maintenance personnel.
Disclosure of Invention
The embodiment of the invention provides a vehicle diagnosis method, a vehicle diagnosis device and vehicle diagnosis equipment, which are used for simplifying a vehicle diagnosis process and improving the reliability of a vehicle diagnosis result.
In a first aspect, an embodiment of the present invention provides a vehicle diagnostic method, including:
acquiring fault symptom information of a vehicle;
determining a target fault problem according to the fault symptom information of the vehicle;
determining a solution corresponding to the target failure problem.
Optionally, the method further comprises:
acquiring vehicle information of the vehicle;
the determining a target fault problem according to the fault symptom information of the vehicle includes:
and determining a target fault problem according to the vehicle information and the fault symptom information of the vehicle.
Optionally, the acquiring the vehicle information of the vehicle includes:
receiving vehicle information of the vehicle input by a user; or,
vehicle information of the vehicle is acquired from an Electronic Control Unit (ECU) of the vehicle.
Optionally, the acquiring fault symptom information of the vehicle includes:
receiving fault description information input by a user;
and acquiring fault symptom information related to the fault description information according to the fault description information.
Optionally, the obtaining, according to the fault description information, fault symptom information related to the fault description information includes:
and acquiring fault symptom information related to the fault description information from a local database or a cloud database.
Optionally, the method further comprises:
when at least 2 pieces of fault symptom information related to the fault description information are determined, displaying the at least 2 pieces of fault symptom information for a user to select;
and taking the fault symptom information selected by the user from the at least 2 pieces of fault symptom information as the fault symptom information of the vehicle.
Optionally, the acquiring fault symptom information of the vehicle includes:
displaying historical fault symptom information and/or preset common fault symptom information of the vehicle to prompt a user to select;
and taking fault symptom information selected by a user from the historical fault symptom information and/or the common fault symptom information as the fault symptom information of the vehicle.
Optionally, the determining a target failure problem according to the failure symptom information of the vehicle includes:
determining a target failure issue from failure issues related to failure symptom information of the vehicle.
Optionally, the determining a target failure problem from failure problems associated with the failure symptom information of the vehicle includes:
acquiring a fault phenomenon included in the fault problem;
and determining a target fault problem according to the matching degree of the fault phenomenon of the vehicle and the fault phenomenon included in the fault problem.
Optionally, before determining the target failure problem according to the matching degree between the failure phenomenon and the failure symptom information, the method further includes:
displaying the fault phenomenon;
and determining the fault phenomenon of the vehicle according to the selection operation of the user aiming at the fault phenomenon.
Optionally, before determining the target failure problem according to the matching degree between the failure phenomenon and the failure symptom information, the method further includes:
acquiring fault data from an ECU of the vehicle;
and determining the fault phenomenon of the vehicle according to the fault data.
Optionally, the determining a target failure problem from failure problems associated with the failure symptom information of the vehicle includes:
when the number of the trouble questions related to the trouble symptom information of the vehicle is at least 2, determining a target trouble question of the at least 2 trouble questions according to priorities of the at least 2 trouble questions.
Optionally, the determining a solution corresponding to the target failure problem includes:
and acquiring a solution corresponding to the target fault problem from a local database or a cloud database.
Optionally, the method further comprises:
displaying a solution corresponding to the target failure problem.
Optionally, before displaying the solution corresponding to the target failure problem, the method further includes:
according to the relevancy between the solutions and the target fault problem, sorting the solutions corresponding to the target fault problem to obtain a sorting result;
the displaying a solution corresponding to the target failure problem includes:
and displaying a solution corresponding to the target fault problem according to the sequencing result.
Optionally, the relevancy of the solution to the target failure problem is determined according to a historical solution result of the solution to the target failure problem.
Optionally, after displaying the solution corresponding to the target failure problem, the method further includes:
and when the number of the solutions corresponding to the target fault problem is at least 2, selecting a target solution of the at least 2 solutions according to the selection operation of the user for the solutions.
Optionally, the method further comprises:
displaying a diagnosis step included in the target solution to prompt a user to perform a diagnosis operation on the vehicle according to the diagnosis step;
acquiring diagnostic data and/or diagnostic results of the vehicle after the diagnostic operation is performed;
displaying a next diagnostic step associated with the diagnostic data and/or the diagnostic result based on the diagnostic data and/or the diagnostic result.
Optionally, the method further comprises:
obtaining a new solution corresponding to the target fault problem according to the modification operation of the solution by the user;
the new solution is saved.
In a second aspect, an embodiment of the present invention provides a vehicle diagnostic apparatus including:
the acquisition module is used for acquiring fault symptom information of the vehicle;
the determining module is used for determining a target fault problem according to the fault symptom information of the vehicle;
a determining module further configured to determine a solution corresponding to the target failure problem.
Optionally, the obtaining module is further configured to obtain vehicle information of the vehicle;
the determining module is specifically configured to:
and determining a target fault problem according to the vehicle information and the fault symptom information of the vehicle.
Optionally, the obtaining module is specifically configured to: receiving vehicle information of the vehicle input by a user; or,
vehicle information of the vehicle is acquired from an Electronic Control Unit (ECU) of the vehicle.
Optionally, the obtaining module is specifically configured to:
receiving fault description information input by a user;
and acquiring fault symptom information related to the fault description information according to the fault description information.
Optionally, the obtaining, according to the fault description information, fault symptom information related to the fault description information includes:
and acquiring fault symptom information related to the fault description information from a local database or a cloud database.
Optionally, the apparatus further comprises:
the display module is used for displaying at least 2 pieces of fault symptom information related to the fault description information for a user to select when the at least 2 pieces of fault symptom information are determined;
and taking the fault symptom information selected by the user from the at least 2 pieces of fault symptom information as the fault symptom information of the vehicle.
Optionally, the obtaining module is further configured to:
displaying historical fault symptom information and/or preset common fault symptom information of the vehicle to prompt a user to select;
and taking fault symptom information selected by a user from the historical fault symptom information and/or the common fault symptom information as the fault symptom information of the vehicle.
Optionally, the determining module is specifically configured to:
determining a target failure issue from failure issues related to failure symptom information of the vehicle.
Optionally, the determining a target failure problem from failure problems associated with the failure symptom information of the vehicle includes:
acquiring a fault phenomenon included in the fault problem;
and determining a target fault problem according to the matching degree of the fault phenomenon of the vehicle and the fault phenomenon included in the fault problem.
Optionally, the display module is further configured to display the fault phenomenon before determining a target fault problem according to a matching degree of the fault phenomenon and the fault symptom information;
and determining the fault phenomenon of the vehicle according to the selection operation of the user aiming at the fault phenomenon.
Optionally, the obtaining module is further configured to obtain fault data from an ECU of the vehicle before determining a target fault problem according to a matching degree of the fault phenomenon and the fault symptom information;
and determining the fault phenomenon of the vehicle according to the fault data.
Optionally, the determining module is specifically configured to:
when the number of the trouble questions related to the trouble symptom information of the vehicle is at least 2, determining a target trouble question of the at least 2 trouble questions according to priorities of the at least 2 trouble questions.
Optionally, the determining module is specifically configured to:
and acquiring a solution corresponding to the target fault problem from a local database or a cloud database.
Optionally, the apparatus further comprises:
and the display module is used for displaying a solution corresponding to the target fault problem.
Optionally, the display module is further configured to, before displaying the solution corresponding to the target failure problem, sort the solutions corresponding to the target failure problem according to the correlation between the solutions and the target failure problem, and obtain a sorting result;
and displaying a solution corresponding to the target fault problem according to the sequencing result.
Optionally, the relevancy of the solution to the target failure problem is determined according to a historical solution result of the solution to the target failure problem.
Optionally, the determining module is further configured to select, after the solutions corresponding to the target failure problem are displayed, a target solution of the at least 2 solutions according to a selection operation of a user for the solutions when the number of the solutions corresponding to the target failure problem is at least 2.
Optionally, the display module is further configured to:
displaying a diagnosis step included in the target solution to prompt a user to perform a diagnosis operation on the vehicle according to the diagnosis step;
acquiring diagnostic data and/or diagnostic results of the vehicle after the diagnostic operation is performed;
displaying a next diagnostic step associated with the diagnostic data and/or the diagnostic result based on the diagnostic data and/or the diagnostic result.
Optionally, the apparatus further comprises:
the storage module is used for obtaining a new solution corresponding to the target fault problem according to the modification operation of the user on the solution; the new solution is saved.
In a third aspect, an embodiment of the present invention provides a vehicle diagnostic apparatus including:
a memory, and a processor coupled to the memory;
wherein the memory stores a computer program;
the processor invokes the computer program to perform the method according to any of the first aspects.
In a fourth aspect, an embodiment of the present invention provides a vehicle diagnostic system, including: the diagnostic instrument and/or the server may,
the diagnostic instrument and/or server is configured to perform the method of any of the first aspect.
In a fifth aspect, an embodiment of the present invention provides a computer-readable storage medium, including: computer program, which, when run on a computer, causes the computer to perform the method of any of the first aspects.
According to the vehicle diagnosis method, the vehicle diagnosis device and the vehicle diagnosis equipment, the fault symptom information of the vehicle is obtained; determining a target fault problem according to the fault symptom information of the vehicle; determining a solution corresponding to the target failure problem. By adopting the method, the vehicle does not need to be detected comprehensively, the acquisition range of fault codes and data streams is reduced, the diagnosis efficiency is high, the vehicle can be diagnosed directly according to the fault symptom information, the diagnosis process is simplified, the diagnosis result is more reliable and comprehensive, and the applicability is wide.
Drawings
FIG. 1 is a schematic diagram of a vehicle diagnostic device establishing a communication link with a vehicle;
FIG. 2 is a flow chart of a vehicle diagnostic method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a prompt list for an application with the fault description information "abnormal sound";
FIG. 4 is a flowchart of a vehicle diagnostic method according to a second embodiment of the present invention;
fig. 5 is a schematic structural diagram of a vehicle diagnostic apparatus according to a third embodiment of the present invention;
fig. 6 is a schematic structural diagram of a vehicle diagnostic apparatus according to a fourth embodiment of the present invention;
fig. 7 is a schematic structural diagram of a vehicle diagnostic system according to a fifth embodiment of the present invention;
fig. 8 is a schematic structural diagram of a vehicle diagnostic apparatus according to a sixth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments, but not all embodiments, of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the following, some terms in the present application are explained to facilitate understanding by those skilled in the art:
1) the On-Board Diagnostic (OBD) system is used to monitor whether the operating state of each system in the vehicle is abnormal, and if the operating state is abnormal, the On-Board Diagnostic (OBD) system determines the specific fault in the corresponding system and stores the specific fault in the form of Diagnostic fault Codes (DTCs). The system can carry out self-diagnosis according to the DTC to repair or maintain the vehicle in time, the OBD also can be provided with an OBD interface, and the OBD interface can be in communication connection with external vehicle diagnosis equipment, so that maintenance personnel can read the DTC in time by utilizing the equipment, repair and maintain the vehicle, and the time of manual diagnosis is shortened.
2) An Electronic Control Unit (ECU) disposed in each system of the vehicle, such as an engine system, an emission Control system, a fuel system, and the like; which may communicate with the vehicle diagnostic device via an OBD interface.
An application scenario according to the embodiment of the present application is described below with reference to fig. 1.
Fig. 1 is a schematic diagram of a vehicle diagnostic device establishing a communication connection with a vehicle. As shown in fig. 1, the vehicle includes one or more systems 1, such as an engine system, an emission control system, a fuel system, etc., each of which has an ECU2 connected to a corresponding pin in the OBD interface 3 via a bus. The connection buses of the corresponding pins in the ECU and the OBD interface in each system may be the same or different, and are not limited herein. The OBD interface 3 may be connected with a vehicle diagnostic device 5 by a connection line 4. Here, the vehicle diagnosis device 5 may include a factory diagnostic apparatus, a comprehensive platform diagnostic apparatus, a terminal in which an application having a diagnostic function is installed, and the like, and is not limited thereto. Specifically, after the vehicle diagnosis device 5 establishes physical connection with the OBD interface 3 through the connection line 4, the vehicle diagnosis device 5 scans a communication protocol of a certain pin of the OBD interface 3. Here, performing the communication protocol scan means that the pins may sequentially transmit connection requests to the corresponding system ECUs via the bus based on one communication protocol until the vehicle diagnosis device 5 receives a response to a connection request for a certain communication protocol transmitted by the pin. Further, the vehicle diagnostic apparatus may establish a communication connection with the system ECU based on the communication protocol to realize data communication. After the vehicle diagnosis device 5 establishes communication with the vehicle, a diagnosis program in the vehicle diagnosis device is operated to realize fault code scanning and data stream communication for the vehicle.
However, the existing vehicle diagnostic apparatus needs to scan a large number of fault codes and communicate data stream for the vehicle, the diagnostic efficiency is low, and the obtained diagnostic result is difficult to accurately locate the fault problem, so that the existing vehicle diagnostic apparatus has higher requirements on experience and capability of maintenance personnel.
In view of the above, embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 2 is a flowchart of a vehicle diagnosis method according to an embodiment of the present invention, and as shown in fig. 2, the method in this embodiment may include:
s101, obtaining fault symptom information of the vehicle.
Before step S101, the method may further include: acquiring vehicle information of the vehicle; and determining a target fault problem according to the vehicle information and the fault symptom information of the vehicle.
In this embodiment, the vehicle information of the vehicle input by the user may be received; alternatively, the vehicle information of the vehicle is acquired from an electronic control unit ECU of the vehicle. The vehicle information refers to information used for representing the vehicle, such as Vehicle Identification Number (VIN), vehicle type, vehicle money, brand, date of leaving factory, mileage, historical maintenance record, and the like.
In one embodiment, the fault description information may be input by receiving a user; and then acquiring fault symptom information related to the fault description information according to the fault description information. Specifically, a keyword may be extracted according to the fault description information input by the user, and fault symptom information matched with the keyword may be searched. The fault description information input by the user may include text, image, audio and other information. If the fault description information input by the user comprises image or audio information, the image or audio signal can be analyzed, then keywords can be extracted, and fault symptom information matched with the keywords can be searched. For example, if the failure symptom information includes all or part of the extracted keywords, it is determined that the keywords match the failure symptom information, and the failure symptom information is related to the failure description information.
Optionally, the fault symptom information related to the fault description information may be acquired from a local database or a cloud database. The local database refers to fault symptom information stored in a memory of the diagnostic equipment, the cloud database refers to a network database which can be communicated with the diagnostic equipment, and the fault symptom information is stored in the network database.
When at least 2 pieces of fault symptom information related to the fault description information are determined, displaying the at least 2 pieces of fault symptom information for a user to select; and taking the fault symptom information selected by the user from the at least 2 pieces of fault symptom information as the fault symptom information of the vehicle. For example, at least 2 fault symptom information may be displayed in a list form for selection by a user.
In another embodiment, historical fault symptom information and/or preset common fault symptom information of the vehicle can be displayed to prompt a user to select; and taking fault symptom information selected by a user from the historical fault symptom information and/or the common fault symptom information as the fault symptom information of the vehicle.
In this embodiment, the historical failure symptom information of the vehicle is: the vehicle had experienced symptoms of failure before the current time. Specifically, historical failure symptom information may be obtained from a service record of the vehicle. The preset common fault symptom information is as follows: the vehicle corresponding to the same type, brand or other vehicles with the same information can often have fault symptoms.
In one implementation, the vehicle diagnosis device may further send the fault description information to a server, so that the server obtains fault symptom information related to the fault description information according to the fault description information, and the server may further generate a prompt list of the fault symptom information and send the prompt list to the vehicle diagnosis device; the vehicle diagnosis device can receive the prompt list fed back by the server and display the prompt list. Fig. 3 is a schematic diagram of a prompt list applied to the fault description information "abnormal sound", and as shown in fig. 3, in the fault description information input interface of the diagnostic apparatus, when the user inputs "abnormal sound", the prompt list is displayed below the dialog box, and fault symptom information such as "engine abnormal sound, transmission abnormal sound, vehicle body abnormal sound, and tire abnormal sound" is displayed in the prompt list. The user may select any one or any number of fault symptom information from the list of prompts.
In this embodiment, the fault symptom information related to the fault description information may also be searched and obtained from a local database or a cloud database. Specifically, the diagnostic apparatus may search and obtain the fault symptom information related to the fault description information from a local database, and then generate a prompt list according to the fault symptom information. Or the diagnostic instrument sends the fault description information to the service, the server searches the fault symptom information related to the fault description information from the cloud database, and then the fault symptom information is fed back to the diagnostic instrument.
In this embodiment, in order to facilitate the user to describe the vehicle fault more accurately, before the fault description information input by the user is received, a historical fault symptom information list of the vehicle and/or a reference list of common fault symptom information may be displayed on a display of the diagnostic apparatus. Thereby providing a reference for a user to describe the vehicle fault.
And S102, determining a target fault problem according to the fault symptom information of the vehicle.
Optionally, a target failure issue is determined from failure issues related to failure symptom information of the vehicle. When only 1 fault problem exists, the fault problem is taken as a target fault problem; or feeding back the fault problem to the user, and taking the fault problem as a target fault problem after receiving confirmation information of the user. When more than 2 fault problems exist, acquiring fault phenomena included in the fault problems; and determining a target fault problem according to the matching degree of the fault phenomenon of the vehicle and the fault phenomenon included in the fault problem.
The number of target failure problems may be 1 or more, and the number of target failure problems is not limited in this embodiment.
In one embodiment, the fault phenomenon occurring in the vehicle may be determined by displaying the fault phenomenon and according to a selection operation of a user for the fault phenomenon. And then, determining a target fault problem according to the matching degree of the fault phenomenon of the vehicle and the fault phenomenon included in the fault problem.
In another embodiment, failure data may first be obtained from the ECU of the vehicle; and determining the fault phenomenon of the vehicle according to the fault data. And then, determining a target fault problem according to the matching degree of the fault phenomenon of the vehicle and the fault phenomenon included in the fault problem.
In this embodiment, the fault problem that corresponds to the vehicle information and the fault symptom information of the vehicle may be set as a target fault problem from a local database or a cloud server. For example, the diagnostic engine may search a local database for all candidate fault issues that match the vehicle information; wherein each of the candidate fault problems corresponds to at least one fault phenomenon; and then taking the candidate fault problem with the fault phenomenon matched with the fault symptom information as a target fault problem. And when the candidate fault problems are multiple, determining the candidate fault problem with the most fault phenomena matched with the fault symptom information in the corresponding fault phenomena as a target fault problem. When a plurality of candidate fault problems exist, the candidate fault problems are sequenced according to the priority order to obtain a sequencing result of the candidate fault problems; and displaying the sequencing result and prompting a user to confirm the target fault problem. Optionally, the priority order refers to: the greater the number of matching of the fault phenomena contained in the target fault problem with the fault symptom information, the higher the priority of the corresponding target fault problem. Or, the candidate fault problem with the highest priority in the priority order is taken as the target fault problem.
For example, assuming that the failure symptom information is "a, b, c", the failure problem associated therewith may be xx, yy, zz. Wherein the fault problem xx includes: failure phenomenon a, failure phenomenon b, failure phenomenon c; the failure problem yy includes: failure phenomenon a, failure phenomenon b, and failure phenomenon e; the failure problem zz includes: fault c, fault f, fault d. Therefore, three fault phenomena in the fault problem xx are matched with the fault symptom information; two fault phenomena in the fault problem yy are matched with fault symptom information; the fault problem zz has a fault phenomenon matched with the fault symptom information. Thus, the failure issue xx is higher in priority than the failure issue yy, which is higher in priority than the failure issue zz. The user can select one from xx, yy and zz as a final target fault problem, and can also sequentially verify and analyze all matched fault problems until the fault problems are successfully solved.
In this embodiment, the vehicle information and the fault symptom information of the vehicle may also be sent to a server by a diagnostic apparatus; so that the server determines a target fault problem according to the vehicle information and the fault symptom information; and then receiving a target failure problem fed back by the server. When a plurality of target fault problems exist, sequencing the target fault problems according to a preset priority to obtain a sequencing result of the target fault problems; and the server sends the sequenced target fault problems to the diagnostic instrument. And displaying the sequencing result on a diagnostic instrument, and prompting a user to confirm the final target fault problem. Wherein the priority order is: the greater the number of matching of the fault phenomena contained in the target fault problem with the fault symptom information, the higher the priority of the corresponding target fault problem.
S103, determining a solution corresponding to the target fault problem.
In this embodiment, all solutions corresponding to the target failure problem may be searched from a local database; all the solutions are then displayed and the final solution is determined based on the confirmation entered by the user. The solution in this embodiment refers to specific process steps for solving the problem of the target fault. Alternatively, all of the solutions may be displayed in the degree of correlation with the target failure problem, wherein the solutions with higher degrees of correlation are displayed in the order of the earlier. The local database in this embodiment refers to a memory in the diagnostic instrument for storing the problem and the solution associated with the problem.
The solution in this embodiment includes: and the diagnosis process determines the device where the fault problem exists by executing the steps in the diagnosis process. For example, taking the short-circuit/open-circuit fault solution of the ATF temperature sensor as an example, the diagnosis process is as follows:
step 1: checking whether the automatic transmission wiring harness plug C30 and the wiring harness plug C31 are fixed and fall off or are stained; if yes, executing step 2; if not, executing step 3.
Step 2: and maintaining the linear speed plug of the automatic transmission.
And step 3: the link diagnostic instrument automatically skips to the automatic transmission system fault code scanning during diagnosis; checking whether fault codes except for PXXX1, PXXX2 and PXXX3 exist; if yes, go to step 4.
And 4, step 4: and diagnosing and testing by referring to a diagnostic fault code DTC diagnostic flow guide.
In this embodiment, all solutions corresponding to the target failure problem fed back by the server may also be received by the diagnostic apparatus; all the solutions are then displayed and the final solution is determined based on the confirmation entered by the user. Alternatively, all of the solutions may be displayed in the degree of correlation with the target failure problem, wherein the solutions with higher degrees of correlation are displayed in the order of the earlier. The solution can be stored in the server, or can be a solution found by the server from a cloud database. It should be noted that the solution in the present embodiment may include: and the diagnosis process is executed, so that the fault component, the reason for generating the fault and a corresponding solution method can be positioned, and a maintenance worker can remove the fault according to the diagnosis process.
Optionally, the method shown in fig. 2 may further include:
displaying a solution corresponding to the target failure problem.
Optionally, before displaying the solution corresponding to the target fault problem, sorting the solutions corresponding to the target fault problem according to the correlation between the solutions and the target fault problem to obtain a sorting result;
and displaying a solution corresponding to the target fault problem according to the sequencing result.
In this embodiment, the relevancy of the solution to the target failure problem is determined according to the historical solution result of the solution to the target failure problem.
In one embodiment, an implementation record of a solution corresponding to the target failure problem may be obtained; when the target fault problem is successfully solved, improving the correlation between the target fault problem and a corresponding solution according to a preset judgment standard; when the target failure problem fails to be solved, reducing the correlation between the target failure problem and the corresponding solution. The diagnostic instrument records the actually implemented solution corresponding to each target fault problem, and when the target fault problem is successfully solved by the implemented solution, the correlation between the solution and the corresponding target fault problem is adjusted according to at least one of the implementation conditions, the implementation process complexity and the successful solving times of the solution. The implementation condition of the solution is simple, the lower the complexity of the implementation process is, the more times of solution success are, and the higher the correlation degree between the solution and the corresponding target fault problem is. The method in this embodiment, as the number of times the diagnostic device diagnoses increases, the more accurate the recommended solution will be.
In another embodiment, an implementation record of a solution corresponding to the target failure problem may be obtained; and sending an implementation record of a solution corresponding to the target failure problem to a server, so that the server adjusts the correlation between the target failure problem and the corresponding solution according to the implementation record. In this embodiment, the server may obtain, by the diagnostic apparatus, an implementation record of a solution corresponding to the target fault problem, and when the target fault problem is successfully solved by the implemented solution, adjust a correlation between the solution and the corresponding target fault problem according to at least one of an implementation condition, an implementation process complexity, and a number of times of successful solution of the solution. The implementation condition of the solution is simple, the lower the complexity of the implementation process is, the more times of solution success are, and the higher the correlation degree between the solution and the corresponding target fault problem is. The method in the embodiment can recommend a more accurate solution as the diagnosis times of the diagnosis instrument communicated with the server increase.
Optionally, after the displaying the solution corresponding to the target failure problem, the method further comprises:
and when the number of the solutions corresponding to the target fault problem is at least 2, selecting a target solution of the at least 2 solutions according to the selection operation of the user for the solutions. Displaying a diagnosis step included in the target solution to prompt a user to perform a diagnosis operation on the vehicle according to the diagnosis step;
acquiring diagnostic data and/or diagnostic results of the vehicle after the diagnostic operation is performed;
displaying a next diagnostic step associated with the diagnostic data and/or the diagnostic result based on the diagnostic data and/or the diagnostic result.
And further, the user can be guided to execute the diagnosis process step by step, and the diagnosis result can be accurately obtained according to the solution.
In the embodiment, the parameter information and the fault symptom information of the vehicle are acquired; determining at least one target fault problem according to the parameter information and the fault symptom information of the vehicle; and then determining a corresponding solution according to the target fault problem. By adopting the method, the vehicle does not need to be detected comprehensively, the acquisition range of fault codes and data streams is reduced, the diagnosis efficiency is high, the vehicle can be diagnosed directly according to the fault symptom information, the diagnosis process is simplified, the diagnosis result is more reliable and comprehensive, and the applicability is wide.
Fig. 4 is a flowchart of a vehicle diagnosis method according to a second embodiment of the present invention, and as shown in fig. 4, the method in this embodiment may include:
s201, obtaining fault symptom information of the vehicle.
S202, determining a target fault problem according to the fault symptom information of the vehicle.
S203, determining a solution corresponding to the target fault problem.
For the detailed implementation process and technical principle of steps S201 to S203 in this embodiment, refer to the related description in the method shown in fig. 2, and are not described herein again.
S204, obtaining a new solution corresponding to the target fault problem according to the modification operation of the solution by the user.
In this embodiment, after determining a solution corresponding to the target failure problem, the user may modify the solution. For example, a diagnostic flow of a solution is modified, and in particular, any or any of the following operations may be performed on the steps in the diagnostic flow:
deleting steps in the diagnosis process;
changing the execution sequence of the steps in the diagnostic flow;
a custom diagnostic step is added.
S205, saving the new solution.
In this embodiment, the new solution modified by the user is saved. In particular, the diagnostic instrument may place a new solution into a local database and associate the new solution with the corresponding problem. Or the diagnostic instrument sends the new solution to the server, and the server can store the new solution in a memory of the server and also can upload the new solution to the cloud database, and the new solution is associated with the corresponding fault problem in the cloud database.
In this embodiment, a new solution is obtained by receiving a modification of the solution by a user, and then the new solution is stored in a local database, or the new solution is sent to a server, so that the server stores the new solution in a cloud database. Therefore, the solutions stored in the diagnostic instrument or the cloud can be updated, so that the solutions contained in the diagnostic instrument or the cloud are more comprehensive, and the accuracy of fault diagnosis is improved.
Fig. 5 is a schematic structural diagram of a vehicle diagnostic apparatus according to a third embodiment of the present invention, and as shown in fig. 5, the apparatus in this embodiment may include:
the acquiring module 10 is used for acquiring fault symptom information of the vehicle;
the determining module 20 is used for determining a target fault problem according to the fault symptom information of the vehicle;
the determining module 20 is further configured to determine a solution corresponding to the target failure problem.
In practical applications, the vehicle diagnosis apparatus of the present embodiment may be a diagnosis instrument, or may be a server, or may also be a diagnosis instrument and a server. Specifically, when the vehicle diagnosis device is a diagnosis apparatus and a server, the obtaining module 10 may be implemented by the diagnosis apparatus, the determining module 20 may be implemented by the server, or the determining module 20 may also be implemented by the diagnosis apparatus and the server performing communication interaction. Optionally, in practical applications, there are multiple implementations of different modules, and reference may be specifically made to the implementations illustrated in the foregoing method embodiments.
Optionally, the obtaining module 10 is further configured to obtain vehicle information of the vehicle.
The determining module 20 is specifically configured to:
and determining a target fault problem according to the vehicle information and the fault symptom information of the vehicle.
Optionally, the obtaining module 10 is specifically configured to: receiving vehicle information of the vehicle input by a user; or,
vehicle information of the vehicle is acquired from an Electronic Control Unit (ECU) of the vehicle.
Optionally, the obtaining module 10 is specifically configured to:
receiving fault description information input by a user;
and acquiring fault symptom information related to the fault description information according to the fault description information.
Optionally, the obtaining, according to the fault description information, fault symptom information related to the fault description information includes:
and acquiring fault symptom information related to the fault description information from a local database or a cloud database.
The present embodiment may implement the technical solutions in the methods shown in fig. 2 and fig. 4, and the implementation process and the technical effects are similar to those of the above methods, and are not described herein again.
Fig. 6 is a schematic structural diagram of a vehicle diagnostic apparatus according to a fourth embodiment of the present invention, and as shown in fig. 6, the apparatus in this embodiment may further include, on the basis of the apparatus shown in fig. 5:
the display module 30 is configured to display the at least 2 fault symptom information for the user to select when determining the at least 2 fault symptom information related to the fault description information;
and taking the fault symptom information selected by the user from the at least 2 pieces of fault symptom information as the fault symptom information of the vehicle.
Optionally, the obtaining module 10 is further configured to:
displaying historical fault symptom information and/or preset common fault symptom information of the vehicle to prompt a user to select;
and taking fault symptom information selected by a user from the historical fault symptom information and/or the common fault symptom information as the fault symptom information of the vehicle.
Optionally, the determining module 20 is specifically configured to:
determining a target failure issue from failure issues related to failure symptom information of the vehicle.
Optionally, the determining a target failure problem from failure problems associated with the failure symptom information of the vehicle includes:
acquiring a fault phenomenon included in the fault problem;
and determining a target fault problem according to the matching degree of the fault phenomenon of the vehicle and the fault phenomenon included in the fault problem.
Optionally, the display module 30 is further configured to display the fault phenomenon before determining the target fault problem according to the matching degree between the fault phenomenon and the fault symptom information;
and determining the fault phenomenon of the vehicle according to the selection operation of the user aiming at the fault phenomenon.
Optionally, the obtaining module 10 is further configured to obtain fault data from an ECU of the vehicle before determining a target fault problem according to a matching degree of the fault phenomenon and the fault symptom information;
and determining the fault phenomenon of the vehicle according to the fault data.
Optionally, the determining module 20 is specifically configured to:
when the number of the trouble questions related to the trouble symptom information of the vehicle is at least 2, determining a target trouble question of the at least 2 trouble questions according to priorities of the at least 2 trouble questions.
Optionally, the determining module 20 is specifically configured to:
and acquiring a solution corresponding to the target fault problem from a local database or a cloud database.
Optionally, the apparatus further comprises:
and a display module 30, configured to display a solution corresponding to the target failure problem.
Optionally, the display module is further configured to, before displaying the solution corresponding to the target failure problem, sort the solutions corresponding to the target failure problem according to the correlation between the solutions and the target failure problem, and obtain a sorting result;
and displaying a solution corresponding to the target fault problem according to the sequencing result.
Optionally, the relevancy of the solution to the target failure problem is determined according to a historical solution result of the solution to the target failure problem.
Optionally, the determining module 20 is further configured to, after displaying the solutions corresponding to the target failure problem, select a target solution of the at least 2 solutions according to a selection operation of a user for the solutions when the number of the solutions corresponding to the target failure problem is at least 2.
Optionally, the display module 30 is further configured to:
displaying a diagnosis step included in the target solution to prompt a user to perform a diagnosis operation on the vehicle according to the diagnosis step;
acquiring diagnostic data and/or diagnostic results of the vehicle after the diagnostic operation is performed;
displaying a next diagnostic step associated with the diagnostic data and/or the diagnostic result based on the diagnostic data and/or the diagnostic result.
Optionally, the apparatus further comprises:
the storage module 40 is configured to obtain a new solution corresponding to the target failure problem according to a modification operation of the user on the solution; the new solution is saved.
The present embodiment may implement the technical solutions in the methods shown in fig. 2 and fig. 4, and the implementation process and the technical effects are similar to those of the above methods, and are not described herein again.
Fig. 7 is a schematic structural diagram of a vehicle diagnostic system according to a fifth embodiment of the present invention, and as shown in fig. 7, the system in this embodiment includes: the diagnostic apparatus 50 and/or the server 60, wherein the diagnostic apparatus 50 and/or the server 60 is configured to execute the technical solution in the method shown in fig. 2 and 4, and the implementation process and the technical effect thereof are similar to those of the method described above and are not described herein again.
Fig. 8 is a schematic structural diagram of a vehicle diagnostic apparatus according to a sixth embodiment of the present invention, and as shown in fig. 8, a vehicle diagnostic apparatus 70 in the present embodiment includes:
a memory 72 for storing computer programs (e.g., applications, functional modules, etc. that implement the diagnostic functions described above), computer instructions, data (e.g., fault symptom information, fault issues, solutions, etc.), etc., which may be stored in one or more of the memories 72 in a partitioned manner. And the above-mentioned computer program, computer instructions, data, etc. can be called by the processor 71.
A processor 71, configured to execute the computer program stored in the memory 72 to implement the steps in the method according to the above-mentioned embodiments. Reference may be made in particular to the description relating to the preceding method embodiment.
And the communication interface 73 is used for realizing the OBD interface communication connection with the vehicle and realizing the communication connection with the server. The communication interface 73 may include a wired communication interface and a wireless communication interface, among others. The vehicle diagnosis device can utilize a wired communication interface or a wireless communication interface to realize the OBD interface connection with the vehicle, and similarly, the vehicle diagnosis device can also utilize a wired communication interface or a wireless communication interface to realize the communication connection with the server.
The memory 72, the processor 71 and the communication interface 73 may be coupled by a bus 74. The processor 71 may enable communication with the vehicle via the control communication interface 73.
The present embodiment may implement the technical solutions in the methods shown in fig. 2 and fig. 4, and the implementation process and the technical effects are similar to those of the above methods, and are not described herein again.
In addition, an embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a vehicle diagnosis device, the computer program may implement the method described in any one of the embodiments of fig. 2 and fig. 4.
Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an ASIC. Additionally, the ASIC may reside in a vehicle diagnostic apparatus. Of course, the processor and the storage medium may reside as discrete components in a communication device.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the 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 invention.
Claims (39)
1. A vehicle diagnostic method, characterized by comprising:
acquiring fault symptom information of a vehicle;
determining a target fault problem according to the fault symptom information of the vehicle;
determining a solution corresponding to the target failure problem.
2. The method of claim 1, further comprising:
acquiring vehicle information of the vehicle;
the determining a target fault problem according to the fault symptom information of the vehicle includes:
and determining a target fault problem according to the vehicle information and the fault symptom information of the vehicle.
3. The method of claim 2, wherein the obtaining vehicle information for the vehicle comprises:
receiving vehicle information of the vehicle input by a user; or,
vehicle information of the vehicle is acquired from an Electronic Control Unit (ECU) of the vehicle.
4. The method according to any one of claims 1 to 3, wherein the obtaining fault symptom information of the vehicle includes:
receiving fault description information input by a user;
and acquiring fault symptom information related to the fault description information according to the fault description information.
5. The method according to claim 4, wherein the obtaining fault symptom information related to the fault description information according to the fault description information comprises:
and acquiring fault symptom information related to the fault description information from a local database or a cloud database.
6. The method according to claim 4 or 5, characterized in that the method further comprises:
when at least 2 pieces of fault symptom information related to the fault description information are determined, displaying the at least 2 pieces of fault symptom information for a user to select;
and taking the fault symptom information selected by the user from the at least 2 pieces of fault symptom information as the fault symptom information of the vehicle.
7. The method according to any one of claims 1 to 3, wherein the obtaining fault symptom information of the vehicle includes:
displaying historical fault symptom information and/or preset common fault symptom information of the vehicle to prompt a user to select;
and taking fault symptom information selected by a user from the historical fault symptom information and/or the common fault symptom information as the fault symptom information of the vehicle.
8. The method of any one of claims 1 to 7, wherein determining a target failure issue from the failure symptom information of the vehicle comprises:
determining a target failure issue from failure issues related to failure symptom information of the vehicle.
9. The method of claim 8, wherein determining a target failure issue from the failure issues associated with the failure symptom information of the vehicle comprises:
acquiring a fault phenomenon included in the fault problem;
and determining a target fault problem according to the matching degree of the fault phenomenon of the vehicle and the fault phenomenon included in the fault problem.
10. The method of claim 9, wherein before determining a target failure problem based on the matching of the fault phenomena to the fault symptom information, the method further comprises:
displaying the fault phenomenon;
and determining the fault phenomenon of the vehicle according to the selection operation of the user aiming at the fault phenomenon.
11. The method of claim 9, wherein before determining a target failure problem based on the matching of the fault phenomena to the fault symptom information, the method further comprises:
acquiring fault data from an ECU of the vehicle;
and determining the fault phenomenon of the vehicle according to the fault data.
12. The method of claim 8, wherein determining a target failure issue from the failure issues associated with the failure symptom information of the vehicle comprises:
when the number of the trouble questions related to the trouble symptom information of the vehicle is at least 2, determining a target trouble question of the at least 2 trouble questions according to priorities of the at least 2 trouble questions.
13. The method of any of claims 1 to 12, wherein the determining a solution corresponding to the target failure problem comprises:
and acquiring a solution corresponding to the target fault problem from a local database or a cloud database.
14. The method according to any one of claims 1 to 13, further comprising:
displaying a solution corresponding to the target failure problem.
15. The method of claim 14, wherein prior to displaying the solution corresponding to the target failure problem, further comprising:
according to the relevancy between the solutions and the target fault problem, sorting the solutions corresponding to the target fault problem to obtain a sorting result;
the displaying a solution corresponding to the target failure problem includes:
and displaying a solution corresponding to the target fault problem according to the sequencing result.
16. The method of claim 15, wherein the relevance of the solution to the target failure problem is determined based on historical solutions of the solution to the target failure problem.
17. The method of any of claims 14 to 16, wherein after displaying the solution corresponding to the target failure problem, the method further comprises:
and when the number of the solutions corresponding to the target fault problem is at least 2, selecting a target solution of the at least 2 solutions according to the selection operation of the user for the solutions.
18. The method of claim 17, further comprising:
displaying a diagnosis step included in the target solution to prompt a user to perform a diagnosis operation on the vehicle according to the diagnosis step;
acquiring diagnostic data and/or diagnostic results of the vehicle after the diagnostic operation is performed;
displaying a next diagnostic step associated with the diagnostic data and/or the diagnostic result based on the diagnostic data and/or the diagnostic result.
19. The method according to any one of claims 1 to 18, further comprising:
obtaining a new solution corresponding to the target fault problem according to the modification operation of the solution by the user;
the new solution is saved.
20. A vehicle diagnostic device characterized by comprising:
the acquisition module is used for acquiring fault symptom information of the vehicle;
the determining module is used for determining a target fault problem according to the fault symptom information of the vehicle;
a determining module further configured to determine a solution corresponding to the target failure problem.
21. The apparatus of claim 20, wherein the obtaining module is further configured to obtain vehicle information of the vehicle;
the determining module is specifically configured to:
and determining a target fault problem according to the vehicle information and the fault symptom information of the vehicle.
22. The apparatus of claim 21, wherein the obtaining module is specifically configured to: receiving vehicle information of the vehicle input by a user; or,
vehicle information of the vehicle is acquired from an Electronic Control Unit (ECU) of the vehicle.
23. The apparatus according to any one of claims 20 to 22, wherein the obtaining module is specifically configured to:
receiving fault description information input by a user;
and acquiring fault symptom information related to the fault description information according to the fault description information.
24. The apparatus according to claim 23, wherein said obtaining fault symptom information related to the fault description information according to the fault description information comprises:
and acquiring fault symptom information related to the fault description information from a local database or a cloud database.
25. The apparatus of claim 23 or 24, further comprising:
the display module is used for displaying at least 2 pieces of fault symptom information related to the fault description information for a user to select when the at least 2 pieces of fault symptom information are determined;
and taking the fault symptom information selected by the user from the at least 2 pieces of fault symptom information as the fault symptom information of the vehicle.
26. The apparatus according to any one of claims 20 to 22, wherein the obtaining module is further configured to:
displaying historical fault symptom information and/or preset common fault symptom information of the vehicle to prompt a user to select;
and taking fault symptom information selected by a user from the historical fault symptom information and/or the common fault symptom information as the fault symptom information of the vehicle.
27. The apparatus according to any one of claims 20 to 26, wherein the determining module is specifically configured to:
determining a target failure issue from failure issues related to failure symptom information of the vehicle.
28. The apparatus of claim 27, wherein the determining a target failure issue from the failure issues related to the failure symptom information of the vehicle comprises:
acquiring a fault phenomenon included in the fault problem;
and determining a target fault problem according to the matching degree of the fault phenomenon of the vehicle and the fault phenomenon included in the fault problem.
29. The apparatus of claim 28, wherein the display module is further configured to display the fault phenomenon before determining a target fault problem according to a degree of matching between the fault phenomenon and the fault symptom information;
and determining the fault phenomenon of the vehicle according to the selection operation of the user aiming at the fault phenomenon.
30. The apparatus of claim 28, wherein the obtaining module is further configured to obtain fault data from an ECU of the vehicle before determining a target fault problem based on a degree of matching of the fault phenomena with the fault symptom information;
and determining the fault phenomenon of the vehicle according to the fault data.
31. The apparatus of claim 27, wherein the determining module is specifically configured to:
when the number of the trouble questions related to the trouble symptom information of the vehicle is at least 2, determining a target trouble question of the at least 2 trouble questions according to priorities of the at least 2 trouble questions.
32. The apparatus according to any one of claims 20 to 31, wherein the determining module is specifically configured to:
and acquiring a solution corresponding to the target fault problem from a local database or a cloud database.
33. The apparatus of any one of claims 20 to 32, further comprising:
and the display module is used for displaying a solution corresponding to the target fault problem.
34. The apparatus according to claim 33, wherein the display module is further configured to, before displaying the solution corresponding to the target failure problem, sort the solutions corresponding to the target failure problem according to the relevancy between the solutions and the target failure problem, and obtain a sorting result;
and displaying a solution corresponding to the target fault problem according to the sequencing result.
35. The apparatus of claim 34, wherein the relevance of the solution to the target failure problem is determined based on historical solutions of the solution to the target failure problem.
36. The apparatus according to any one of claims 33 to 35, wherein the determining module is further configured to, after displaying the solutions corresponding to the target failure problem, select a target solution of at least 2 solutions according to a selection operation of a user for a solution when the number of the solutions corresponding to the target failure problem is at least 2.
37. The apparatus of claim 36, wherein the display module is further configured to:
displaying a diagnosis step included in the target solution to prompt a user to perform a diagnosis operation on the vehicle according to the diagnosis step;
acquiring diagnostic data and/or diagnostic results of the vehicle after the diagnostic operation is performed;
displaying a next diagnostic step associated with the diagnostic data and/or the diagnostic result based on the diagnostic data and/or the diagnostic result.
38. The apparatus of any one of claims 20 to 37, further comprising:
the storage module is used for obtaining a new solution corresponding to the target fault problem according to the modification operation of the user on the solution; the new solution is saved.
39. A vehicle diagnostic apparatus characterized by comprising: a memory, and a processor coupled to the memory;
wherein the memory stores a computer program;
the processor calls the computer program to perform the method of any one of claims 1 to 19.
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| PCT/CN2019/079556 WO2019205858A1 (en) | 2018-04-25 | 2019-03-25 | Vehicle diagnosis method, apparatus, and device |
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| CN201810382862.3A CN108563214B (en) | 2018-04-25 | 2018-04-25 | Vehicle diagnosis method, device and equipment |
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| WO2019205858A1 (en) * | 2018-04-25 | 2019-10-31 | 深圳市道通科技股份有限公司 | Vehicle diagnosis method, apparatus, and device |
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| CN112306034A (en) * | 2019-08-02 | 2021-02-02 | 深圳市道通科技股份有限公司 | Automobile maintenance method, device and system |
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| CN114022973A (en) * | 2021-11-02 | 2022-02-08 | 阿波罗智联(北京)科技有限公司 | Vehicle fault processing method, device, equipment and storage medium |
| CN114185326A (en) * | 2021-11-26 | 2022-03-15 | 东风悦享科技有限公司 | Vehicle remote diagnosis method, system and storage device |
| CN114185707A (en) * | 2021-12-02 | 2022-03-15 | 深圳市元征软件开发有限公司 | Vehicle fault diagnosis method and device, terminal equipment and storage medium |
| TWI802121B (en) * | 2021-07-07 | 2023-05-11 | 韓商韓領有限公司 | Method and apparatus for providing information for service on installation |
| CN116209963A (en) * | 2020-08-14 | 2023-06-02 | 西门子股份公司 | Fault diagnosis and solution recommendation method, device, system and storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5099436A (en) * | 1988-11-03 | 1992-03-24 | Allied-Signal Inc. | Methods and apparatus for performing system fault diagnosis |
| CN103001328A (en) * | 2012-11-19 | 2013-03-27 | 山东大学 | A Fault Diagnosis and Evaluation Method for Smart Substation |
| CN103592934A (en) * | 2013-11-08 | 2014-02-19 | 深圳市道通科技有限公司 | Method, device and system for achieving vehicle diagnosis |
| CN105292021A (en) * | 2015-11-27 | 2016-02-03 | 北京汽车研究总院有限公司 | Car-mounted terminal system and car |
| CN105629962A (en) * | 2016-03-03 | 2016-06-01 | 中国铁路总公司 | Failure diagnosis method for high-speed railway train control equipment radio block center (RBC) system |
| CN105988462A (en) * | 2015-06-30 | 2016-10-05 | 陕西同力重工股份有限公司 | Mine area vehicle electric fault diagnosis method |
| CN106021545A (en) * | 2016-05-27 | 2016-10-12 | 大连楼兰科技股份有限公司 | Method for vehicle remote diagnosis and spare parts retrieval |
| CN107808430A (en) * | 2017-10-31 | 2018-03-16 | 深圳市道通科技股份有限公司 | Computer-readable recording medium, fault detection method and device |
| CN109407646A (en) * | 2017-08-18 | 2019-03-01 | 宝沃汽车（中国）有限公司 | Acquisition methods, device, storage medium and the management server of vehicle trouble data |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103164724A (en) * | 2013-02-27 | 2013-06-19 | 深圳市元征软件开发有限公司 | Vehicle diagnostic device and method based on two-dimensional code technology |
| CN104181911B (en) * | 2014-07-30 | 2018-04-17 | 麦特汽车服务股份有限公司 | The method of vehicle remote diagnosis |
| CN106557773B (en) * | 2015-09-25 | 2020-04-24 | 北京宝沃汽车有限公司 | Vehicle fault diagnosis method and system |
| CN108563214B (en) * | 2018-04-25 | 2021-07-06 | 深圳市道通科技股份有限公司 | Vehicle diagnosis method, device and equipment |
-
2018
- 2018-04-25 CN CN201810382862.3A patent/CN108563214B/en active Active
-
2019
- 2019-03-25 WO PCT/CN2019/079556 patent/WO2019205858A1/en active Application Filing
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5099436A (en) * | 1988-11-03 | 1992-03-24 | Allied-Signal Inc. | Methods and apparatus for performing system fault diagnosis |
| CN103001328A (en) * | 2012-11-19 | 2013-03-27 | 山东大学 | A Fault Diagnosis and Evaluation Method for Smart Substation |
| CN103592934A (en) * | 2013-11-08 | 2014-02-19 | 深圳市道通科技有限公司 | Method, device and system for achieving vehicle diagnosis |
| CN105988462A (en) * | 2015-06-30 | 2016-10-05 | 陕西同力重工股份有限公司 | Mine area vehicle electric fault diagnosis method |
| CN105292021A (en) * | 2015-11-27 | 2016-02-03 | 北京汽车研究总院有限公司 | Car-mounted terminal system and car |
| CN105629962A (en) * | 2016-03-03 | 2016-06-01 | 中国铁路总公司 | Failure diagnosis method for high-speed railway train control equipment radio block center (RBC) system |
| CN106021545A (en) * | 2016-05-27 | 2016-10-12 | 大连楼兰科技股份有限公司 | Method for vehicle remote diagnosis and spare parts retrieval |
| CN109407646A (en) * | 2017-08-18 | 2019-03-01 | 宝沃汽车（中国）有限公司 | Acquisition methods, device, storage medium and the management server of vehicle trouble data |
| CN107808430A (en) * | 2017-10-31 | 2018-03-16 | 深圳市道通科技股份有限公司 | Computer-readable recording medium, fault detection method and device |
Non-Patent Citations (1)
| Title |
|---|
| 郑淑珍: "《大众车自动变速器典型故障的诊断与排除》", 《汽车实用技术》 * |
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