CN101853478A - Automobile fault diagnosis system based on ontology and mobile network - Google Patents
Automobile fault diagnosis system based on ontology and mobile network Download PDFInfo
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- CN101853478A CN101853478A CN200910097100A CN200910097100A CN101853478A CN 101853478 A CN101853478 A CN 101853478A CN 200910097100 A CN200910097100 A CN 200910097100A CN 200910097100 A CN200910097100 A CN 200910097100A CN 101853478 A CN101853478 A CN 101853478A
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Abstract
With the development of economy, the car ownership of car users continuously increase in recent years, in order to improve the competition of cars, car manufacturers keep adopting novel technologies, novel materials and novel processes to improve the power, the exhaust, the safety and other technical properties of cars, and simultaneously, the after-sales services of cars are more and more concerned about by people. However, now China's automobile service enterprises have not high quality and unreasonable structure, and 'many, small, poor and messy' are still the main problems of automobile repairing enterprises. The invention relates to an automobile fault diagnosis system based on ontology and a mobile network, which realizes the sharing of various resources required by automobile repairing with the advantages of a body, remotely communicates through mobile communication, internet and other methods so as to obtain the fault information of cars, so that the fault cars are finally quickly and efficiently repaired. On the one hand, the system can be promoted by large automobile manufacturers as an after-sales service system. On the other hand, the system can be also applied to the claims demonstration of insurance companies.
Description
Technical field
Along with expanding economy, the recoverable amount of user vehicle is in continuous increase in recent years, automobile vendor for the competition that improves automobile constantly employ new technology, new material, new technology to be to improve the dynamic property of automobile, emission performance, technical features such as security, the after sale service of automobile meanwhile also more and more is subjected to people's attention.But my the automobile services enterprise-quality crossed is not high at present, unreasonable structure, and " many, little, poor, random " are still the subject matter that automobile services enterprise exists.It is many-sided such phenomenon reason why occurring.At first automobile is a movable body, and its most faults all are to occur in operation, and automobile generally can not in time be sent to maintenance factory and carries out fault detect and maintenance like this.Even the user detects failure code with failure diagnostic apparatus, the driver is that what fault what not known the representative of this code be generally speaking, therefore seem important especially when the back driver appears in fault to the description of vehicle failure and with the automobile failure diagnosis center that this fault conveys to a specialty, still the different descriptions to same fault with the language setting of knowledge background owing to the driver may be not quite similar.So just the fault diagnosis of automobile has been brought problem.Therefore a good automobile after-sale service system is an autoist because of this, automotive expert, automobile production manufacturer, auto repair factory, the collaborative work of road auxiliary equipment, set up a common model that vehicle failure is understood, and because automobile is a movable body, communication modes should be selected mobile communication equipment.
The present invention relates to a kind ofly, utilize modes such as mobile communication and internet to form a kind of long-range vehicle fault diagnosis system based on ontological vehicle fault diagnosis system.System of the present invention is not subjected to the restriction of when and where, only needs telecommunication device and automobile fault diagnostic apparatus for autoist, and utilizes this difference to describe fault.The present invention uses ontology (Ontology) related notion and the technology in the artificial intelligence field, the knowledge content in the vehicle failure field has been analysed in depth in foundation, define the association between each knowledge concepts, and according to the related framework of the knowledge after analyzing, the domain body opinion that adopted Prot é g é 3.1 information management platform constructions that U.S. Standford SMI center researched and developed presents the rudimentary knowledge content of automobile failure diagnosis; By the Jena kit of Hewlett-Packard (HP) laboratory research and development, the strategic process so that regular (Rule) presents human expert's problem solving carries out inference to the association between the interior knowledge concepts of domain body opinion.More than both knowledge base that is combined into complete domain knowledge framework is provided.Simultaneously and this system be associated and also proposed a kind of frame system and operating mechanism of the automobile after-sale service system based on the mobile network.
Be based on above main innovate point of the present invention: the overall framework that 1) has provided a remote fault diagnosis, and by the body class that has been the vehicle attribute definition and determined relation between class and the class, the fault of vehicle belongs to a classification accordingly like this, carries out the division of fault by the classification under the fault; 2) set up the needed automobile failure diagnosis information model of remote fault diagnosis; 3) can realize sharing of various resources by the body translater, resources shared is to pass through ontology, obtain the automotive expert of different language all over the world, automobile production manufacturer and automobile knowledge publication, vehicle structure in the network, knowledge such as maintenance and diagnostic message resource, and the knowledge of system is constantly expanded with perfect; 4) native system can be organized effectively and optimize auto parts and components supplier, the automaker, and auto repair factory, the trap for automobile aid, various resources such as GPS are for user vehicle provides the most rational the most quick service.The language body can also be translated into user's oneself language with the maintenance suggestion, repair message is also become be fit to different users.
The main application of this system has: 1) can manufacture manufacturer by full-sized car and promote as after-sale service system.On the one hand, automobile vendor can provide preferably after sale service the most easily for the user, simultaneously automobile vendor also can follow the tracks of own utilization and operation situation of producing product in Life cycle, to obtain the design and the use defective of this product, so that on purpose improve at next-generation in generation; 2) this system also can be applicable to the Claims Resolution demonstration of insurance company.Utilize this system, the running technology parameter that the Claims Resolution center can the On line inspection vehicle is to examine the authenticity that the Claims Resolution request is provided; 3) this system also can be adopted by national communication administrative authority, sets up unified and standard automobile after-sale service system.
Background technology
Current society, along with the very big world car recoverable amount of improving of the development of economic society and road conditions in continuous increase, how to make problems such as diagnosis after the thing followed such as automobile breaks down fast and accurately, outstanding pendulum people in face of.Although the development of China's automobile after sale service and maintenance industry attracts people's attention, compared with developed countries, still there is a big difference.Enterprise-quality is not high, and structure is unreasonable, and " many, little, diffusing, random " are still the essential characteristic of China's vehicle maintenance and repair enterprise.At the problems referred to above, some academic journals have been published the method for some solutions.From the document that the inventor recognizes, utilize body to touch upon at present invention that mobile network's technology carries out remote diagnosis and maintenance service aspect to automobile is report seldom also.
The technology that is close with the present invention that the inventor recognizes mainly contains following:
The Li Xiangyuan that delivers on the engineering in medicine magazine of Beijing, Yang Zongkai, the paper of Wu Hongxiu etc., the development that this paper proposes based on the long-range mobile ecg telemonitoring system of GPRS net, system is based on the long-range mobile ecg telemonitoring system of GSM mobile radio communication GPRS (general packet radio service) function, to electrocardiosignal monitor automatically, analysis, phonic warning, and electrocardiogram (ECG) data electronic health record archives and the network of setting up patient are shared, operating cost is cheap, has the clinical practice meaning.
" Wuhan University of Technology's journal " published the paper that Wu Wenbing, Zhang Yu, Chu Hao etc. have proposed the analysis aspect of vehicle condition remote monitoring conceptual design and information transfer channel characteristic thereof, this paper has been discussed the meaning of carrying out vehicle condition remote monitoring research, and relies on mobile radio communication, public switched telephone network (PSTN) and Internet net to design vehicle condition remote monitoring scheme.On the basis of analyzing mobile message transmission channel mathematical model, build vehicle condition remote monitoring experimental system, carried out the experimental study of information transfer channel characteristic, obtained some useful result.
The storage that " automotive engineering " delivered is great, Yang Xiaoguang, the paper of Zhang Yu etc. " collection of online Vehicular remote monitoring signal and processing ", the existing GSM mobile radio communication of this paper utilization has designed online Vehicular remote monitoring overall plan, and build laboratory study platform analytic signal remote transmission characteristic, carried out the remote collection of car engine state signal simultaneously.With defined frequency domain modifying factor, the remote collection signal has been carried out effective correction.This scheme has been opened up online Vehicular remote monitoring systematic research scope.
The paper of the Xie Hui that delivers on " automobile engineering " etc. " research of electric automobile demonstration operation wireless remote monitering development of Management System ", the electric automobile demonstration operation service center remote control administrative system that paper proposes is based on GPRS network and Internet net, by having the vehicle intelligent message unit of CAN interface and GPRS interface, adopt the wireless remote data load mode, realization realizes functions such as fault analysis and processing, on-line proving and optimization, data recording and analysis, electronic chart tracking thus to monitoring, demarcation and the location of many electric automobiles.For the demonstration operation provides effective, convenient, fast and economic again ladder of management.
" agricultural mechanical journal " delivered the automobile failure diagnosis expert system based on fault tree analysis that Chen Chaoyang, Zhang Daisheng, Ren Peihong, Xu Huadong etc. propose, the paper proposition combines fault tree analysis with rule-based diagnostic expert system method, with the form of fault tree comprehensively, system, level ground statement expertise, automatically generate the expert system diagnosis rule base by fault tree, realize obtaining automatically of diagnostic knowledge, and guarantee the consistance of diagnostic knowledge and complete.And be that platform, Delphi 5.0 are programming language with Windows98, develop the automobile failure diagnosis expert system that has friendly human-computer interaction interface, forward and reverse mixed inference and have explanation function.
In addition, also have the intelligent computers group cooperative control system of Pai'en Science and Technology Co., Ltd., Shanghai's exploitation to adopt the GPRS technology to carry out long-range coordination and monitoring.This system utilizes public data wireless network (GSM) as the information transmitting medium between Surveillance center and the mobile unit (as: vehicle), utilize internet (Internet) as the communication platform between Surveillance center and the branch control center, utilize location technology, electronic technology, computer technology, the network technology of Global Positioning System (GPS) (GPS), in conjunction with utilization electronic chart Geographic Information System (GIS), realization realizes functions such as monitoring management, warning are sought help, information inquiry to the position of mobile unit (as vehicle), the monitoring of state.And can strengthen and optimize corresponding monitoring function, thereby guarantee that supervisory system can satisfy the monitoring requirement of various dissimilar mobile units at dissimilar mobile unit.
In Europe, European Union has proposed the mycarevent plan in 2003, this plan is intended to utilize infotech, mobile network's technology and knowledge engineering, for the user vehicle of EU member country provides a kind of after sale service efficiently, this project draws to an end at present, and researchers prove the feasibility of implementing.
By above analysis as can be known, at home and abroad there is no the knowledge organization that a cover intactly is suitable for the vehicle remote fault diagnosis at present, obtain and the system of sharing.What the inventor proposed has certain innovation and bigger social economic value based on the touch upon automobile failure diagnosis maintenance system of mobile communication network of body.
Summary of the invention
In view of this, fundamental purpose of the present invention provides a kind of based on ontological vehicle fault diagnosis system, reaches to make a lot of background automobile failure diagnosis inequality such as different manufacturers, different users become effectively simple.
Essential structure of the present invention comprises user vehicle, mobile communication equipment, automobile knowledge storehouse (comprising user vehicle information, man of maintenance factory information, automobile failure diagnosis information, Automobile Design information), auto parts and components supplier, a teleprocessing center.
Workflow of the present invention is: be based on ontological vehicle remote failure monitoring system synoptic diagram as shown in Figure 1, after authorizing the user vehicle automobile to break down, after getting in touch by internet or mobile network and SC, after the inlet authentication, SC handles the failure-description by autoist, and SC provides repair message disposal route fast and accurately by analysis with after handling.Describe the present invention below in detail.
How SC obtains and accurately understands the failure message that user vehicle is described, and how providing fast and accurately, method for maintaining is the core of system of the present invention.
Illustrate at first how SC obtains and accurately understand the failure message that the user describes.The information that SC obtains user vehicle is by two kinds of channels; 1) user's oneself description; 2) obtain by the remote fault diagnosis instrument.To be exactly the user send to SC by internet or mobile network with information with language of oneself and knowledge background that this is very simple in user's oneself description.How to illustrate below by the remote fault diagnosis instrument and obtain the vehicle failure code, after automobile breaks down, if SC can accurately not judge the failure message of automobile by user's description, then need to extract the failure code of automobile, the specific fault of each of automobile all corresponding a code, for example diagnosing out vehicle failure sign indicating number DTC with manual testing device is that P0100 shows that then the air flowmeter circuit has fault, if diagnostic trouble code is that P0120 represents that then throttle position sensor has fault, the failure code that the vapour failure diagnostic apparatus is diagnosed out is sent to SC by wireless transmission like this.
Illustrate then how SC accurately understands the failure message of user's description.Each automobile making commercial city has their vocabulary separately to remove to describe the parts of automobile, fault and symptom etc., and also have nothing in common with each other in order to the language of expressing.In order to obtain the relevant repair message of fault vehicle quickly and accurately, the information of the different lexical representations of these different languages organically need be combined, and make between the user of different language background, different automaker, the auto repair merchant and can realize clog-free interchange and understanding, body plays a common this TV station of understanding therein.This method in same field is the knowledge base that makes full use of existed system, constructs the new system of the strong and height interoperability of availability.At the isomerism of system, can set up translater by using body, knowledge is shared between the realization system, solves the isomery problem of existing subsystem effectively, eliminates the ambiguity of knowledge.Vehicle fault diagnosis system is that territoriality is more intense, the system of more complicated, it relates to the knowledge of territorialities such as auto parts and components formation, user vehicle, automaker, auto repair merchant, components supplying merchant, and this class knowledge is equally applicable in the intelligence systems such as the design, automobile making, vehicle failure detection of automobile.Therefore, domain knowledge shares and reuses and be very important.
For example, in the automobile remote diagnostic system, to make up automobile overall design system simultaneously, the user vehicle system, information system of man of Automobile Service Factory, auto parts and components merchant infosystem and other relevant data base management system (DBMS), to utilize separately some information and knowledge in these systems mutually, we then adopt structure as shown in Figure 2 to realize sharing of knowledge: in this model, knowledge in each system all adopts database storing, and the structure of the database of different systems is diverse, the knowledge representation mode that adopts also has certain difference, therefore can not directly share information between two systems.For this reason, we can come sharing between the realization system by utilizing body to set up translater, when design system need be used some knowledge in the diagnostic system, can the knowledge in the knowledge base one be converted into sharable form by translater (one), thereby realize sharing of domain knowledge, same reason, we also can will pass through translater between other system, data between the different system and knowledge are expressed with the model of sharing, and vice versa.These databases can also be regular in addition expands and upgrades, the gordian technique of this model is exactly the foundation and the realization of translater, need be according to employed ontology representation language, conversion between database and the ontology representation language is studied, and key issue is the mapping relations of setting up between the different structure level.Therefore, body plays a part very crucial therein.CS just can understand the failure message that the client describes accurately like this.
Illustrate at last how SC provides disposal route fast and accurately.Handling failure information will provide fast and will take specific measure at certain fault, so just can deserve to be called quick and precisely.Want to accomplish quick and precisely just should carry out the various piece of automobile the division of class, could come trouble-shooting according to certain rules like this, an automobile failure diagnosis example as Fig. 3, this body class that has been the vehicle attribute definition has also been determined relation between class and the class, and the automobile failure diagnosis body has been divided: 1) vehicle constitutes and modeling; 2) product vendor's (allowing the information and the manufacturer of formation/modeling to be associated together); 3) product (as series of vehicles); 4) parts of product (comprising the sign of vehicle component subsystem and the sign of substitutions of elements); 5) maintenance supplier five big classes such as (as road aid in tissue and Auto repair shops).Just can classify by failure-description like this and understand the attribute of automobile accurately by this, determined trouble location after, can obtain information by ontology library, such as information such as vehicle, manufacturer, maintenance tool, fittings supply merchants about this fault.Disposal route provides the basis for SC provides fast and accurately.Describe the information model of automobile failure diagnosis as shown in Figure 5, pointed out the crucial connecting relation between main object and connection repair message and the failure-description.And described and how to have realized and shone upon that the logical organization that these inter-entity concern concerns.In the middle of this model, have and have 10 main objects, be system (system), condition (condition), symptom (symptom), diagnostic test (diagnosticTest), test result (TestResult), the fault (Fault) of diagnosis, repair message (RepairInformation), term (Term), terminology (termology) and language (HumanLanguage) etc.Wherein two objects have formed the core of model, i.e. Zhen Duan fault (Fault) and repair message (RepairInformation).Fault can be directly by obtaining by diagnostic result, maybe can pass through problem, condition, test and determine until fault.The pass of fault and test result is definite-relation (identifies-identifiedBy) of being determined.Repair message can be expressed by multilingual, and other all object all supports to determine and diagnose the fault of automobile.Based on the described automobile failure diagnosis information model of Fig. 5, utilize body semantic language (OWL, Ontology Web language), we can set up the needed ontology library of vehicle remote fault diagnosis, again in conjunction with the needed database of vehicle remote fault diagnosis (as the positional information etc. of maintenance producer), get final product the needed Database Systems of constructing system, this is the core of diagnostic system, also is gordian technique of the present invention.
Comprehensive the above, a representative instance of concrete enforcement is described below: when user's automobile of authorizing breaks down, autoist is described fault (owing to having the term ontology library to translate) with oneself language and mode, SC (automobile service center) receives the failure message of describing through the autoist of term ontology library translation, judge that by this information can the user provide self-diagnosis of trouble short in size (automobile vendor that has represents with respective coding specific fault), if can provide, then this fault diagnosis code is sent to SC, SC accepts the self-diagnosis of trouble short in size that the user sends by wireless transmission, if fault can be got rid of by user self then provide corresponding method for removing, if could not would need the accessory that judges whether that needs are special, the words that need are then got in touch corresponding auto parts machinery merchant and are provided and delivered part to from the nearest maintenance station of accident vehicle, the maintenance station sends someone to be with equipment to go to maintenance, if do not need special accessory then contact directly near maintenance station, maintenance is sent someone to go in the maintenance station, if there is not maintenace point near the user vehicle, then send the emergency maintenance emergency car to go to maintenance.Diagnostic procedure based on body is: can make the different language background by the term ontology library, the user's of different knowledge background description becomes the term that SC can understand, next SC needs to judge that can the user provide the self-diagnosis of trouble short in size, if SC can be provided then require the user that diagnostic trouble code is sent to SC, if fault can be got rid of by user oneself, then provide the maintenance suggestion, if fault can not be got rid of voluntarily, then need to judge whether to carry out diagnostic test, carry out diagnostic test if desired, then above user's fault vehicle, extract corresponding test data by the remote diagnosis instrument.Judge the corresponding fault of automobile according to the result of this test, and provide corresponding result, if fault can not be diagnosed by other diagnostic method, as rule-based diagnosis, diagnosis based on model, based on the diagnosis of case,, after being out of order, diagnosis provides corresponding processing maintenance suggestion based on the diagnosis etc. of inquiry.By telecommunication disposal route is sent to autoist or optimal auto repair producer.
Description of drawings
Above and other feature of the present invention, advantage will become very obvious by the description of embodiment shown in the accompanying drawing.
Cooperate appended diagram, be described as follows:
Fig. 1 is based on ontological vehicle remote fault diagnosis system schematic
This figure is system's block diagram that the present invention proposes. After automobile breaks down, can send request to the automobile service center by vehicle-mounted communication tool or mobile network, after authentication, the automobile service center can be connected and the contacting of fault vehicle. The automobile service center can be by driver's description, or the car launcher by the fault vehicle and wireless network send the operation information (comprising self-diagnosis of trouble division of history into periods code) of fault vehicle, and the automobile service center then can and provide corresponding maintenance suggestion according to the roughly fault of these information tentative diagnosis automobiles. The maintenance center also can be according to the information of the maintenance producer in the position information (can learn by GPS) at fault vehicle place and fault vehicular seat district, authorize maintenance producer of corresponding alliance to keep in repair to fault in-situ, or assign mobile maintenance vehicle to carry out maintenance process to fault in-situ. If need to change corresponding parts, maintenance center SC also can notify nearest supplier of spare parts that relevant spare part is delivered to maintenance sites. Therefore, the automobile service center then can utilize GSM/GPRS and gps satellite navigation receiver to combine and realize the free of discontinuities of fault vehicle is followed the trail of, constantly obtain automobile position information and health data, and accept to authorize user's seeking help in case of emergency and the request of remote online fault diagnosis. Simultaneously, the automobile service center also can feed back to the diagnosis conclusion to vehicle failure and operation conditions authorizes the user, provides corresponding reply process measure.
The innovative point of this network is: realize and the SC communication by mobile device or internet, finally obtain fault and diagnose the clear convenience of overall framework.
Fig. 2 is the knowledge sharing based on ontological vehicle fault diagnosis system
Because the structure of each database is fully different, adopt knowledge representation mode that certain difference is also arranged, can not realize information sharing between two systems. We can set up translater by body for this reason, realize sharing of resource, as shown in Figure 2, when system need to use content in the knowledge base one, just can translate shared field to the resource in the knowledge base one by body translater one. Equally when needs use resource in the knowledge base two time then need to translate by this subject translater.
It below is one section pass code describing by Ontology Language.
<owl:Class rdf:ID＝”RepairProcedure”>
<rdfs:label xml:lang＝"cn">The maintenance process</rdfs:label>
<rdfs:label?xml:lang＝”de”>Reparaturverfahren</rdfs:label>
<rdfs:label?xml:lang＝”en”>repair?procedure</rdfs:label>
<rdfs:label?xml:lang＝”fr”>procédéde?réparation</rdfs:label>
<rdfs:label?xml:lang＝”it”>procedura?di?riparazione</rdfs:label>
<rdfs:comment>
rdf:datatype＝http://www.w3.org/2001/XMLSchema#string>
</rdfs:comment>
<rdfs:subClassOf>
<owl:Class?rdf:about＝”#RepairInformation”/>
</rdfs:subClassOf>
<owl:disjointwith>
<owl:Class?rdf:about＝”#Maintenance”/>
</owl:disjointwith>
</owl:Class>
Owl(ontology?web?language)
Innovative point is among the knowledge sharing figure of ontological vehicle fault diagnosis system: knowledge is shared between the realization system, solves the isomery problem of existing subsystem effectively, eliminates the ambiguity of knowledge.The territoriality knowledge that auto parts and components formation, user vehicle, automaker, auto repair merchant, components supplying merchant etc. are associated with vehicle fault diagnosis system is shared, and this class knowledge is equally applicable in the intelligence systems such as the design, automobile making, vehicle failure detection of automobile.Therefore, domain knowledge shares and reuses and be very important.
Fig. 3 is the example of automobile failure diagnosis body
This figure is the example of a fault diagnosis, this body be vehicle attribute definition class, give in this example automobile attribute definition five classes, be respectively 1) vehicle constitutes and modeling; 2) product vendor's (allowing the information and the manufacturer of formation/modeling to be associated together); 3) product (as series of vehicles); 4) parts of product (comprising the sign of vehicle component subsystem and the sign of substitutions of elements); 5) maintenance supplier (as road aid in tissue and Auto repair shop).After having determined trouble location by corresponding method, can obtain information by ontology library, such as information such as vehicle, manufacturer, maintenance tool, fittings supply merchants about this fault.Provide the basis for correctly providing maintenance suggestion and method.
The innovative point of this example is: for the attribute definition of vehicle five big classes, diagnosis and maintenance all are to belong to the central class of five big classes, make diagnostic system systematization more, provide the foundation for information relevant such as the vehicle that obtains this fault, manufacturer, maintenance tool, fittings supply merchants like this with vehicle maintenance.
The main flow process that Fig. 4 breaks down the back and keeps in repair for user's automobile
This Figure illustrates the user who registered at SC breaks down from vehicle and obtains a whole set of flow process of maintenance service to the end.
Fig. 5 is the automobile failure diagnosis information model of expressing based on body
This model has 10 main objects, be system (system), condition (condition), symptom (symptom), diagnostic test (diagnosticTest), test result (TestResult), the fault (Fault) of diagnosis, repair message (RepairInformation), term (Term), terminology (termology) and language (HumanLanguage) etc.Wherein Zhen Duan fault (Fault) and repair message (RepairInformation) have constituted the core of diagnostic model.The pass of these two entities is the relation (solves-solvedBy) of finding the solution-being found the solution, and can make and be diagnosed out out of order vehicle component and repair message to connect.These objects and the relation between them have determined the structure of information model.The functional description of its each several part is as follows:
(1) system (System) representative is parts in the vehicle.System can simply also can be complicated, and complicated system is made up of subsystem.System's possibility operate as normal also has defective, and shows the phenomenon of the failure that hinders for some reason and produce.System can be used for testing and assess its function.A system is associated with following object.
-subsystem (subsystem).The available relation that comprises of contact between a system and its subsystem (subsystem) is expressed.A system can be become by zero individual at the most groups of subsystems.
-diagnostic test (DiagnosticTest).A system can test by diagnostic test, and system's usable zero to a plurality of diagnostic tests are tested.
-term (Term).Term is used for descriptive system.A system can describe with one or more term.
-symptom (Symtom).A system has the phenomenon that hinders for some reason and cause.A system may show as zero to a plurality of symptoms.
-fault (Fault).A system may be made up of zero extremely a plurality of faults.
(2) diagnostic test (DiagnosticTest).Diagnostic test represents one to be used to collect about the vehicle diagnostic test of properties data in a certain respect.In this model, a diagnostic test is considered to a single test that particular system carried out.Diagnostic test is associated with following object.
-system (System).System of a diagnostic test test.
-test result (TestResult).A diagnostic test can produce the output of a test result as test.
-condition (Condition).A diagnostic test can have zero to the input data of a plurality of conditions as test.
-fault (Fault).A diagnostic test may be able to detect zero to a plurality of faults.
(3) term (Term).Term is used for descriptive system, symptom and conditional object.Term and following object association:
-terminology (Terminology).The available anti-body set relations of relation between a term and other term are expressed.Term and terminology may be with zero to a plurality of related.
-system (System).System of a term description.
-symptom (Symptom).Symptom of a term description.
-condition (Condition).Condition of a term description.
Terminology (Terminology).Terminology defined notion and express relation between notion and notion.A terminology can carry out related with following object.
-term (Term).Relation between a term and other term can be expressed as anti-body set relations.Term and terminology may be with zero to a plurality of related.
(4) symptom (symptom).Symptom is represented also might be caused by environmental factor (or condition) by the result or the phenomenon of fault initiation.A fault can be diagnosed or may not be diagnosed, so the relation between fault and symptom is optional.A symptom is associated with following object.
-condition (condition).A symptom may be brought out by zero to a plurality of conditions.
-term (term).A symptom can be by one to a plurality of term descriptions.
-fault (Fault).A symptom may be caused by zero to a plurality of faults.
-system (System).A symptom may appear at zero to a plurality of systems.
(5) (condition).Condition is represented to cause the environmental factor of symptom or is used for the diagnostic test (DiagnosticTest) that suggestion is carried out a system.A condition is associated with following object.
-diagnostic test (DiagnosticTest).A condition can advise zero to a plurality of diagnostic tests.
-term (Term).Condition usable zero to a plurality of terms are described.
-symptom (Symptom).A condition can be by zero to a plurality of symptoms initiations.
(6) fault (fault).A defective in the representation for fault Vehicular system.A fault is associated with following object.
-symptom (Symptom).A fault may cause zero to a plurality of symptoms.
-system (system).A fault may appear at zero to a plurality of systems.
-test result (testResult).A fault can be definite to a plurality of test results by zero.
-diagnostic test (DiagnosticTest).A fault can be by zero to a plurality of diagnostic tests detections.
-repair message (RepairInformation).A fault can be by zero to a plurality of repair messages solutions.
(7) repair message (RepairInformation).Repair message represents to get rid of the needed information of specific fault.Repair message might not be obtained by a fault.For example, if a new fault that never occurred in the past, then repair message can't be learnt.The content of repair message can be used one or more language descriptions.Repair message can be associated with following object.
-fault (Fault).Repair message is zero finding the solution to a plurality of faults.
-category of language (HumanLanguage).A repair message can be by one to multiple kind of language performance.
(8) category of language (Humanlanguage).The content of repair message expressed in human language.Category of language is associated with following object.
-repair message (RepairInformation).Repair message can be described by multilingual, can realize that the different language of same phenomenon of the failure or fault diagnosis conclusion is described, and makes the driver of different language or user vehicle passable.
The automobile failure diagnosis information model that utilization is expressed based on body can be set up automobile failure diagnosis.
The innovative point and the meaning of the automobile failure diagnosis information model of expressing based on body are: based on the automobile failure diagnosis information model, utilize body semantic language (OWL, Ontology Web language), we can set up the needed ontology library of vehicle remote fault diagnosis, again in conjunction with the needed database of vehicle remote fault diagnosis (as the positional information etc. of maintenance producer), get final product the needed Database Systems of constructing system, this is the core of diagnostic system.
Fig. 6 is the vehicle remote fault diagnosis flow scheme
If user's vehicle in driving procedure breaks down, the user can be connected to automobile service center SC by vehicle-mounted mobile communication mode, and pass through relevant authentication, if the authentication by user vehicle could be described the SC to service centre with the symptom of vehicle trouble by interactive mode, also can send the data in real time of vehicle to service centre SC by vehicle-mounted mobile communication, the automobile service center is by the symptom of user's description and the related data of automobilism, tentative diagnosis has the fault of automobile, and judge whether the user can fix a breakdown voluntarily, if can get rid of voluntarily, then the information that will how to fix a breakdown sends user vehicle to; If the user can not fix a breakdown voluntarily, judging whether needs special-purpose spare part, as needs, and near the fault vehicle maintenance factory is arranged, and then notifies supplier of spare parts, and spare part is delivered to engineering repair works, and engineering repair works then keeps in repair to fault in-situ; If do not have maintenance factory near the fault vehicle, then notify corresponding motor-driven maintenance emergency car to carry out fault and get rid of and maintenance to fault in-situ.
The innovative point of vehicle remote fault diagnosis flow scheme is: as long as automobile breaks down and can get in touch with SC and just necessarily can obtain the result of SC and finally be that the fault vehicle obtains maintenance.
Fig. 7 is the diagnostic procedure based on body
The user describes phenomenon of the failure, and the term ontology library is translated as the accessible term in automobile service center with the user's of different language background, different knowledge background description; Next the automobile service center judges that can the user provide the self-diagnosis of trouble short in size, if can, then require the user that fault diagnosis code is reached the automobile service center, wireless transmission is passed through in the automobile service center, receive user's diagnostic trouble code, and diagnose out the fault of automobile thus, if fault is got rid of, then provide the maintenance suggestion; Whether if fault is not got rid of yet, then going to needs diagnostic test.Diagnostic test if desired then proposes corresponding test data by the remote diagnosis instrument from user's fault vehicle, obtains test result, see the fault that to diagnose out automobile according to test result, be out of order, then provide corresponding maintenance suggestion if can diagnose, otherwise go to next step, by various diagnostic methods, as rule-based diagnosis, based on the diagnosis of model, diagnosis based on case, based on the diagnosis etc. of inquiry, diagnose out corresponding fault, and provide maintenance conclusion and maintenance suggestion.Wherein the language body can be translated into user's oneself language with the maintenance suggestion, makes it can understand and obtain corresponding maintenance service apace.
Innovative point based on the diagnostic procedure of body is: the user uses the language of oneself to carry out failure-description, SC receives the failure message of handling through body, after handling after a series of diagnosis, suggestion that provides and method also are the language of handling through body that is applicable to user oneself.
SC: the automobile service center, if do not describe in the middle of the fault ontology library of automobile, the expert who then contacts directly service centre carries out remote medical consultation with specialists, finally provides diagnostic comments and disposal route, and this fault and disposal route are added ontology library.
Embodiment
The specific embodiment of the present invention is: based on the automobile failure diagnosis information model, utilize body semantic language (OWL, Ontology Web language), we can set up the needed ontology library of vehicle remote fault diagnosis, again in conjunction with the needed database of vehicle remote fault diagnosis (as the positional information etc. of maintenance producer), get final product the needed Database Systems of constructing system, this is the core of diagnostic system.
When user's automobile of registration breaks down, the user gets in touch by mobile device or network and SC, after authentication, because the manufacturer of automobile, also have the attribute relevant such as automobile various piece before with defining class with automobile, and the needed automobile failure diagnosis information model of remote fault diagnosis is also set up, therefore language and the knowledge background by user vehicle oneself is described vehicle failure, the fault of describing is sent to SC behind the body terminology bank, the knowledge base that the automobile failure diagnosis information model that SC expresses based on body by the symptom utilization of user's description has existed in addition, preliminary failure judgement type, further judge user's fault of can settling a dispute by the parties concerned themselves, if could would provide corresponding handling suggestion and method, if could not above user's fault vehicle, would extract corresponding test data by the remote diagnosis instrument.Judge the corresponding failure of automobile according to these data, if fault can not be obtained by diagnostic test then pass through other diagnostic methods, such as rule-based diagnosis, diagnosis based on model, diagnosis based on case, diagnosis etc. based on inquiry, obtain need then to judge whether accessory behind the diagnostic code, the words that need are then got in touch the fittings supply merchant, the fittings supply merchant is sent to required accessory from the nearest maintenance station of fault vehicle, the maintenance station sends someone to be with equipment to go to the fault vehicle site of an accident to keep in repair, if the maintenance that do not need auto parts machinery then directly send someone to go in the maintenance station, if near do not have maintenace point, then send the emergency maintenance emergency car to go to maintenance.Such fault vehicle has just obtained in time maintenance efficiently.
Claims (10)
1. one kind based on ontological vehicle fault diagnosis system, it is characterized in that: after the described vehicle failure of the autoist of different language background, different knowledge background is handled, provide and keep in repair suggestion or method fast and accurately, perhaps find out near the maintenace point of user vehicle, keep in repair fast, perhaps send the maintenance emergency car to go to the maintenance of fault vehicle location.
2. the described vehicle failure of the autoist with different language background, different knowledge background according to claim 1 is handled and be it is characterized in that: what pass through is that translater makes the body resource sharing.
3. handle according to the described vehicle failure of claim 1 and it is characterized in that: description by the driver or remote fault diagnosis instrument are realized.
4. it is characterized in that according to fault according to claim 1 is described: can provide fast and accurately and judge.
5. translater as claimed in claim 2 is characterized in that: it can realize sharing of knowledge between system, solves the isomery problem of existing subsystem effectively, eliminates the ambiguity of knowledge.
6. diagnostic method as claimed in claim 3 is characterized in that: diagnose by the information model of setting up an automobile.
7. remote diagnosis method as claimed in claim 3 also comprises the diagnosis of rule, based on the diagnosis of model, based on the diagnosis of case, based on the diagnosis of inquiry.
8. providing accurate judging characteristic as claim 4 is: judge user's fault by oneself earlier, if the fault of settling a dispute by the parties concerned themselves then provide suggestion or the method handled, the user can not oneself handle, then SC (automobile service center) need obtain the corresponding failure sign indicating number, classification by the diagnostic trouble code failure judgement also need to judge whether special part, at last by carrying relevant device and accessory (if necessary) from the nearest maintenance station of fault vehicle, if do not have the maintenance station near the fault vehicle then send the maintenance emergency car to go to maintenance.
9. as claim 4 feature be: by the body class that has been the vehicle attribute definition and determined relation between class and the class.The automobile failure diagnosis body has been divided: 1) vehicle constitutes and modeling; 2) product vendor's (allowing the information and the manufacturer of formation/modeling to be associated together); 3) product (as series of vehicles); 4) parts of product (comprising the sign of vehicle component subsystem and the sign of substitutions of elements); 5) maintenance supplier five big classes such as (as road aid in tissue and Auto repair shops).Diagnose accordingly according to the class under the fault.
10. point out main object as the automobile information model of foundation as described in the claim 6 and connected crucial connecting relation between repair message and the failure-description, it is characterized in that of this model: had 10 main objects.Comprise system (system), condition (condition), symptom (symptom), diagnostic test (diagnosticTest), test result (TestResult), the fault of diagnosis (Fault), repair message (RepairInformation), term (Term), terminology (termology) and language (HumanLanguage).
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