CN108415401A - A kind of engineering truck Measuring error data managing method and system - Google Patents
A kind of engineering truck Measuring error data managing method and system Download PDFInfo
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- CN108415401A CN108415401A CN201810053865.2A CN201810053865A CN108415401A CN 108415401 A CN108415401 A CN 108415401A CN 201810053865 A CN201810053865 A CN 201810053865A CN 108415401 A CN108415401 A CN 108415401A
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- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000004458 analytical method Methods 0.000 claims abstract description 34
- 230000002159 abnormal effect Effects 0.000 claims description 15
- 238000013523 data management Methods 0.000 claims description 7
- 238000013135 deep learning Methods 0.000 claims description 5
- 230000004888 barrier function Effects 0.000 claims description 4
- 238000012423 maintenance Methods 0.000 abstract description 11
- 238000005516 engineering process Methods 0.000 description 6
- 238000013499 data model Methods 0.000 description 4
- 239000010705 motor oil Substances 0.000 description 3
- XSQUKJJJFZCRTK-UHFFFAOYSA-N Urea Chemical compound NC(N)=O XSQUKJJJFZCRTK-UHFFFAOYSA-N 0.000 description 2
- 239000004202 carbamide Substances 0.000 description 2
- 238000003745 diagnosis Methods 0.000 description 2
- 235000013399 edible fruits Nutrition 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 239000000446 fuel Substances 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
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Vehicle Cleaning, Maintenance, Repair, Refitting, And Outriggers (AREA)
Abstract
A kind of engineering truck Measuring error data managing method and system, belong to vehicle maintenance technical field.The method of the present invention includes following steps：Step 1, travelling data is broadcasted in the CAN network of vehicle；Step 2, the fault code indications in CAN network are collected；Step 3, according to fault code indications failure relevant parameter is asked to vehicle；Step 4, according to fault code indications and failure relevant parameter, failure Producing reason and solution are determined；The present invention system include：Failure collection module, for collecting generated fault code indications when vehicle breaks down, and with the relevant vehicle parameter of failure；The reason of failure analysis module, component and failure for being broken down according to information analysis collected by failure collection module and determination occur.The present invention can timely and accurately obtain vehicle trouble Producing reason and solution, improve the efficiency of vehicle maintenance.
Description
Technical field
The present invention relates to vehicle maintenance technical field more particularly to a kind of engineering truck Measuring error data managing method and
System.
Background technology
With the application of the development of vehicle technology, especially electronic technology, computer technology on vehicle, vehicle trouble is examined
It is disconnected just from the experiences diagnostic mode such as traditional eye is seen, ear is listened, nose is heard, hand is touched, is isolated, sounds out and is compared, to digitize, integrate
Change and intelligentized diagnostic device is supplementary means, is the complete Hyundai Motor fault diagnosis skill of system relied on information technology
Art system develops.
But some vehicles often only will appear simple fault cues when breaking down at present, and can not be accurate
The position known failure and occurred, the reason of failure occurs, the degree of danger of failure and can be solved in time either with or without method
Failure.
Some existing technologies, as the Chinese invention patent of Patent No. ZL201410806492.3 discloses a kind of vehicle
Failure analysis methods and system, method include：It receives when failure occurs after the error code of vehicle output, from vehicle trouble
The accident analysis data model to match with the error code is inquired in knowledge base, wherein the vehicle trouble knowledge base includes
Multiple accident analysis data models for vehicle trouble analysis pass through the accident analysis data mould to match with the error code
Type obtains the diagnostic result for the failure.This method only need to be when vehicle breaks down, and vehicle exports when failure is occurred
Error code, which inputs matched accident analysis data model, will obtain the diagnostic result for being directed to the failure, without artificially sentencing
It is disconnected.
Although the above method also achieves the failure of intelligentized diagnosis vehicle, but it only passes through error code and failure
Data model is analyzed to obtain a result, the reliability of the result can not ensure that accuracy is to be improved in other words, in addition, it is only
Failure Producing reason is only analyzed, and fails to provide the scheme for solving failure, user still needs rule of thumb to go to formulate to solve
Certainly scheme.
Invention content
The purpose of the present invention is to solve the above-mentioned problems of the prior art, provide a kind of engineering truck Measuring error
Data managing method can timely and accurately obtain vehicle trouble Producing reason and solution, improve vehicle maintenance
Efficiency.
The purpose of the present invention is what is be achieved through the following technical solutions：
A kind of engineering truck Measuring error data managing method, includes the following steps：
Step 1, travelling data is broadcasted in the CAN network of vehicle；
Step 2, the fault code indications in the CAN network are collected；
Step 3, according to the fault code indications failure relevant parameter is asked to vehicle；
Step 4, according to the fault code indications and failure relevant parameter, failure Producing reason and solution are determined.
Preferably as the present invention, the step 3 specifically includes：
Step 3.1, it is determined and the relevant component of failure according to the fault code indications；
Step 3.2, it determines when the component generates failure it is possible that abnormal parameter；
Step 3.3, described to vehicle request it is possible that abnormal parameter.
Preferably as the present invention, the step 4 specifically includes：
Step 4.1, according to the fault code indications and failure relevant parameter, failure Producing reason is determined；
Step 4.2, according to the failure Producing reason and the history mantenance data of the solution failure, the failure is provided
Solution.
Preferably as the present invention, further include：
Step 5, the failure Producing reason and this time mantenance data are preserved.
The present invention also provides a kind of engineering truck Measuring error data management systems, including：
Failure collection module, for collecting generated fault code indications when vehicle breaks down, and it is related to the failure
Vehicle parameter；
Failure analysis module, for according to information analysis collected by the failure collection module and the determining member to break down
The reason of device and failure occur.
Preferably as the present invention, further include：
When being generated for learning various failures, event is generated with the relevant component of failure and the component for deep learning module
It is possible that abnormal parameter, causes the component to generate the external factor of failure when barrier；And give the accident analysis mould
Block provides analysis foundation.
Preferably as the present invention, further include：
Big data module, comprehensive analysis each occurred failure the reason of and corresponding solution, in new failure
The concrete reason and solution of failure are provided when generation.
Preferably as the present invention, further include：
Mantenance data electronization module, for the reason of recording failure each time and the mantenance data of solution failure.
It is an advantage of the invention that：When by the way that failure occurring, the analysis of related component and component relevant parameter is accurate
Must really be out of order generation position and reason, and according to optimal solution party is obtained for the mantenance data of this kind of failure in the past
Method greatly improves the accuracy and efficiency of trouble hunting.
Description of the drawings
Fig. 1 is the flow chart of the method for the present invention embodiment 1；
Fig. 2 is a kind of schematic diagram of embodiment of present system.
Specific implementation mode
Below in conjunction with the drawings and specific embodiments, the present invention is described in further detail.
Embodiment 1
A kind of engineering truck Measuring error data managing method, includes the following steps：
Step 1, travelling data is broadcasted in the CAN network of vehicle；
Step 2, the fault code indications in the CAN network are collected；
Step 3, according to the fault code indications failure relevant parameter is asked to vehicle；
Step 4, according to the fault code indications and failure relevant parameter, failure Producing reason and solution are determined.
Specifically, vehicle is in the process of moving, travelling data can broadcast inside the CAN network of vehicle incessantly, i.e.,
Parameters in vehicle travel process can be obtained from the CAN network, including fault message.So occurring in failure
The first moment, fault code indications also can at once broadcast inside the CAN network of vehicle, then collect broadcast inside CAN network
Fault code indications, and according to be collected into fault code indications whereabouts vehicle request with some relevant vehicle parameters of the failure,
Finally according to the fault code indications and relevant vehicle parameter information, the position that failure generates, reason and solution are analyzed and determined
Certainly method.
The reason of analyzing to be out of order only by error code different from the prior art, but in analysis error code
On the basis of, the parameter of real-time collecting and the relevant element device of failure, and then abnormal parameter is analyzed, to correctly find
The position and reason that failure occurs.The real-time parameter of component has most direct also most accurate reference value, the knot obtained
Fruit is also more accurate.
In addition, providing corresponding solution according to the reason of failure, the solution can be according to maintenance personal
Experience be previously stored, and each failure is corresponding with one or more solutions, when failure occurs according to failure
Relevant information provided.The solution can also be basis previous largely history maintenance flow and mantenance data,
Including Ben Che and other vehicles, the history maintenance flow and data can be stored in some shared database or
In Cloud Server.After specifying the reason of failure occurs, the reason of combination failure and history maintenance flow and data, pass through
Big data algorithm provides optimal solution to the user.
Embodiment 2
Step 3 in embodiment 1 specifically includes：
Step 3.1, it is determined and the relevant component of failure according to the fault code indications；
Step 3.2, it determines when the component generates failure it is possible that abnormal parameter；
Step 3.3, described to vehicle request it is possible that abnormal parameter.
Specifically, if directly asking some relevant parameters with regard to whereabouts vehicle according to fault code indications, it is possible that
The infull situation of vehicle parameter because a component break down may result in other components parameter occur it is different
It is abnormal, if fruit only collects the parameter of the component to break down, the anomaly parameter of other components is ignored that, so needing
By associated whole components and its there is related parameter to combine to analyze, it could the most fast institute that most accurately find problem accurately
.Therefore, all and relevant component of failure is determined according to fault code indications, then determine that the component generates and be somebody's turn to do first
It is finally described to vehicle request it is possible that abnormal parameter it is possible that abnormal parameter when kind of failure.To prevent leak-stopping
The occurrence of inspection, false retrieval.
The step 4 specifically includes：
Step 4.1, according to the fault code indications and failure relevant parameter, failure Producing reason is determined；
Step 4.2, according to the failure Producing reason and the history mantenance data of the solution failure, the failure is provided
Solution.
As described in Example 1, present embodiment is the solution that failure is provided according to history mantenance data,
Since this kind of mode is by the maintenance flow and data of a large amount of historical failure of binding analysis, i.e., previous can effectively solve
The method of identical certainly with this failure or similar failure, in combination with real-time failure cause, if with it is comprehensive obtain it is a kind of or
Dry kind of most efficient also most effective solution, greatly improves the efficiency integrally repaired.
Further include after the step 4：
Step 5, the failure Producing reason and this time mantenance data are preserved.
As described above, show that the solution of each failure needs the maintenance flow and data in conjunction with historical failure, therefore
After failure successfully solves each time, this successful service experience is preserved, using as when similar failure occurs later
Analysis foundation.Also, the successful solution of failure each time can all make store history mantenance data database more it is perfect more
Comprehensively, to improve gradually and constantly the validity and accuracy of the solution provided when each failure occurs.
The present invention also provides a kind of engineering truck Measuring error data management systems, including：
Failure collection module, for collecting generated fault code indications when vehicle breaks down, and it is related to the failure
Vehicle parameter；
Failure analysis module, for according to information analysis collected by the failure collection module and the determining member to break down
The reason of device and failure occur.
Specifically, vehicle is in the process of moving, travelling data can broadcast inside the CAN network of vehicle incessantly, i.e.,
Parameters in vehicle travel process can be obtained from the CAN network, including fault message.So occurring in failure
The first moment, fault code indications also can at once broadcast inside the CAN network of vehicle, at this point, failure collection module will be gone
The fault code indications broadcasted inside CAN network are collected, and according to the request of fault code indications whereabouts vehicle and the failure being collected into
Some relevant vehicle parameters, then failure analysis module can according to the fault code indications and relevant vehicle parameter information, point
It analyses and determines position and reason that failure generates.
The engineering truck Measuring error data management system further includes：
When being generated for learning various failures, event is generated with the relevant component of failure and the component for deep learning module
It is possible that abnormal parameter, causes the component to generate the external factor of failure when barrier；And give the accident analysis mould
Block provides analysis foundation.
The deep learning module can effectively ensure that the reliability of information collected by the collection module, and give institute
It states failure analysis module and analysis foundation the most accurate is provided.By first determining and the relevant component of failure, then determining and institute
State when component breaks down the parameter it is possible that abnormal, and generate the external factor of the failure, avoid missing inspection and
The case where false retrieval, occurs so that detection and analysis the result is that being obtained according to most directly reliable data.
Specifically, such as study engine power deficiency failure, relevant component is first determined：ECU internal sensors power supply,
Urea system sensor, engine fuel injector etc., then determine it is possible that abnormal parameter：Rotation speed of the fan sensor electricity
Pressure, accelerator pedal sensor voltage, engine oil pressure temperature sensor voltage, admission pressure temperature sensor voltage, engine temperature
Degree, engine oil pressure, engine oil level, urea level, oxynitride concentration etc..When vehicle is sat, our event
The real time data that will be learnt when failure occurs according to deep learning module of barrier analysis module, analyze and provide driver or
The position and reason that technician's failure generates.
The engineering truck Measuring error data management system further includes：
Big data module, comprehensive analysis each occurred failure the reason of and corresponding solution, in new failure
The concrete reason and solution of failure are provided when generation.
Largely can in the past with solution, i.e. basis the reason of analyzing to be out of order by the big data module
The method for effectively solving identical as this failure or similar failure, and real-time failure cause is combined, to obtain subject to most
True failure happening part and reason, and solution the most reliable.
The engineering truck Measuring error data management system further includes：
Mantenance data electronization module, for the reason of recording failure each time and the mantenance data of solution failure.
As described above, show that the solution of each failure needs the maintenance flow and data in conjunction with historical failure, therefore
After failure successfully solves each time, this successful service experience is preserved to the mantenance data electronization module, to make
For analysis foundation when similar failure occurs later.Also, the successful solution of failure can all make the mantenance data each time
Electronic module more it is perfect more comprehensively, to improve gradually and constantly the effective of the solution provided when each failure occurs
Property and accuracy.
The foregoing is only a preferred embodiment of the present invention, the specific implementation mode is whole based on the present invention
A kind of realization method under design, and scope of protection of the present invention is not limited thereto, any skill for being familiar with the art
In the technical scope disclosed by the present invention, the change or replacement that can be readily occurred in should all cover the protection in the present invention to art personnel
Within the scope of.Therefore, the scope of protection of the invention shall be subject to the scope of protection specified in the patent claim.
Claims (8)
1. a kind of engineering truck Measuring error data managing method, which is characterized in that include the following steps：
Step 1, travelling data is broadcasted in the CAN network of vehicle；
Step 2, the fault code indications in the CAN network are collected；
Step 3, according to the fault code indications failure relevant parameter is asked to vehicle；
Step 4, according to the fault code indications and failure relevant parameter, failure Producing reason and solution are determined.
2. engineering truck Measuring error data managing method according to claim 1, which is characterized in that step 3 tool
Body includes：
Step 3.1, it is determined and the relevant component of failure according to the fault code indications；
Step 3.2, it determines when the component generates failure it is possible that abnormal parameter；
Step 3.3, described to vehicle request it is possible that abnormal parameter.
3. engineering truck Measuring error data managing method according to claim 1, which is characterized in that step 4 tool
Body includes：
Step 4.1, according to the fault code indications and failure relevant parameter, failure Producing reason is determined；
Step 4.2, according to the failure Producing reason and the history mantenance data of the solution failure, the failure is provided
Solution.
4. engineering truck Measuring error data managing method according to claim 1, which is characterized in that further include：
Step 5, the failure Producing reason and this time mantenance data are preserved.
5. a kind of engineering truck Measuring error data management system, which is characterized in that including：Failure collection module, for collecting
Generated fault code indications when vehicle breaks down, and with the relevant vehicle parameter of the failure；
Failure analysis module, for according to information analysis collected by the failure collection module and the determining member to break down
The reason of device and failure occur.
6. engineering truck Measuring error data management system according to claim 5, which is characterized in that further include：
When being generated for learning various failures, event is generated with the relevant component of failure and the component for deep learning module
It is possible that abnormal parameter, causes the component to generate the external factor of failure when barrier；And give the accident analysis mould
Block provides analysis foundation.
7. engineering truck Measuring error data managing method according to claim 5, which is characterized in that further include：
Big data module, comprehensive analysis each occurred failure the reason of and corresponding solution, in new failure
The concrete reason and solution of failure are provided when generation.
8. engineering truck Measuring error data managing method according to claim 5, which is characterized in that further include：
Mantenance data electronization module, for the reason of recording failure each time and the mantenance data of solution failure.
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Cited By (2)
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| CN110377793A (en) * | 2019-06-21 | 2019-10-25 | 深圳市轱辘汽车维修技术有限公司 | A kind of method, device and equipment for recommending video production information |
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