CN105867351B - Vehicle trouble code acquires the method and device with historical data analysis diagnosis in real time - Google Patents
Vehicle trouble code acquires the method and device with historical data analysis diagnosis in real time Download PDFInfo
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- CN105867351B CN105867351B CN201610281996.7A CN201610281996A CN105867351B CN 105867351 B CN105867351 B CN 105867351B CN 201610281996 A CN201610281996 A CN 201610281996A CN 105867351 B CN105867351 B CN 105867351B
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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
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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
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24048—Remote test, monitoring, diagnostic
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- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Vehicle Cleaning, Maintenance, Repair, Refitting, And Outriggers (AREA)
Abstract
Vehicle trouble code acquires the method and device with historical data analysis diagnosis in real time, belong to error code acquisition field, solve the problems, such as classification alarm, have technical point that vehicle is struck sparks every time, equipment acquires error code, the error code that equipment acquires in real time on vehicle, cloud platform is uploaded to by mobile communications network, cloud platform receives error code data, the storage of error code data into database, cloud platform combines carry out big data analysis with stored malfunction history data time fault data of upload is worked as, the failure obtained to error code data analyzing and diagnosing is classified, it is reminded according to categorised decision failure.Effect is: alarm decision is determined by classification, it can be to avoid caused alarm credible the phenomenon that reducing of all alarming.
Description
Technical field
The invention belongs to error code to acquire field, be related to a kind of method of the acquisition and analyzing and diagnosing of error code.
Background technique
Vehicle breaks down, and (electric fault refers to occurring in ECU, circuit or sensing component especially electric fault
On failure, be different from a kind of failure existing for mechanical breakdown.) when, general way is examined to the shop 4s or repair plant
It looks into, for that can reproduce or frequently the failure that occurs can be found faster, but has some accidental or hiding event
Barrier, or is not easy the failure quickly positioned, can only after know that aftersensation until having occurred can just go to repair, existing diagnostic products are main
It is:
Genuine diagnostic equipment: the method that such method uses when being mainly the shop 4S detection failure.The method is by automobile
Manufacturer's genuine diagnostic equipment connects automobile by wired connection or wireless (technologies such as bluetooth), when obtaining automobile in the shop 4s
Vehicle-state.Genuine diagnostic equipment price is higher, and is the standard configuration that automobile vendor requires the shop 4s.
OBD diagnostic equipment: such method is mainly that vehicle repairing factory uses, and price is lower.Error code is only limitted to OBD type, and
It is also the situation of detection vehicle at that time, the failure occurred before vehicle can not be positioned.
Above scheme, can not real-time storage acquisition error code to big data analysis, and the real-time acquisition of error code with
After storage uploads, also generated with new technical problem, i.e., after the corresponding failure modes of error code obtain, otherwise it is exactly pure
Alarm or be exactly be only display, and how failure modes corresponding for error code, carry out selectivity alarm, not only can be with
Enhancing alarm efficiency, improves the credibility of alarm.Regardless of the alarm which kind of failure all carries out, often makes car owner's paralysis big
Meaning, the alarm being really badly in need of are ignored.
Summary of the invention
In order to solve the problems, such as above-mentioned classification alarm, the present invention provides a kind of vehicle trouble codes to acquire in real time and history number
According to the method for analyzing and diagnosing, have technical point that vehicle is struck sparks every time, equipment acquires error code, and equipment acquires in real time on vehicle
Error code, cloud platform is uploaded to by mobile communications network, cloud platform receives error code data, error code data storage to number
According in library, cloud platform combines carry out big data analysis with stored malfunction history data time fault data of upload is worked as,
The failure obtained to error code data analyzing and diagnosing is classified, and is reminded according to categorised decision failure.
Meanwhile the invention further relates to a kind of vehicle trouble codes to acquire the device with historical data analysis diagnosis in real time, including
Equipment, categorization module, reminding module, vehicle strike sparks every time equipment acquisition error code, the failure that equipment acquires in real time on vehicle
Code uploads to cloud platform by mobile communications network, and cloud platform receives error code data, error code data storage to database
In, cloud platform is carry out big data analysis is combined with stored malfunction history data when time fault data of upload, to event
The failure that barrier code data analyzing and diagnosing obtains is classified, and is reminded according to categorised decision failure.
The utility model has the advantages that the present invention may be implemented to store the real-time acquisition of vehicle trouble code with upload, and utilize big
Data processing determines alarm decision by classification to the corresponding failure of vehicle trouble code to classify, and can cause to avoid all alarms
Alarm credibility reduce the phenomenon that.
Detailed description of the invention
Fig. 1 is the process schematic 1 of the method.
Fig. 2 is the flow chart of the method.
Specific embodiment
Embodiment 1: in order to which available one kind is with foresight or occurs to handle at any time at any time mode understands vehicle
Failure, the present embodiment introduce a kind of pass through and monitor vehicle condition in real time, and especially (automobile fault code refers to vapour to vehicle trouble code
The error code that vehicle reflects after breaking down through automobile computer ECU analysis, general frequent error code are sensor fault sensing
Caused by device work is bad) big data analysis of variation is come the method that carries out automobile real-time diagnosis, as illustrated in fig. 1 and 2: Yi Zhongche
Error code acquires the method with historical data analysis diagnosis in real time, which is characterized in that vehicle is struck sparks every time, and equipment acquires failure
Code, the error code that equipment acquires in real time on vehicle upload to cloud platform by mobile communications network, and cloud platform receives failure yardage
According to the storage of error code data into database, cloud platform is the fault data and stored fault history number when time upload
According to carry out big data analysis is combined, popular big data analysis technology is not used in the present embodiment, and the analysis tool of emphasis is logical
Experience accumulation is crossed, same fault code or similar error code are classified, and technician is allowed to do corresponding diagnosis and final confirmation
It can be realized, the failure obtained to error code data analyzing and diagnosing is classified, and is reminded according to categorised decision failure.With existing skill
Art compares, and diagnosis is not limited only to the error code phenomenon occurred in real time, referring concurrently to historical failure information, vehicle attribute letter
Breath, vehicle driving parameter information etc..Such analysis method can more effectively identify true fault, and accuracy rate of diagnosis is higher.Together
When according to the level of materiality of failure, the difference of urgency level is pushed to the maintaining units such as car owner or dealer, respectively so as to more
Vehicle is effectively ensured timely to be repaired.
Embodiment 2: described to be to the method that failure is classified:
S1. control fault knowledge library differentiates its fault category: the differentiation of error code classification need to be referring to several knowledge bases, 1. companions
Failure code table: the table of association failed storage is given birth to, the failure stored in this table is insignificant association error code, and such failure is equal
The association appearance together when other failures occur occurs, or as caused by vehicle installation other component, it is indecisive
Failure.2. insignificant high frequency minor failure, such failure is that occurrence frequency is higher, but damages vehicle degree extremely with regard to its failure
Slightly it can be ignored.The high frequency, can be by setting high frequency threshold value, and what it is more than the threshold value can be high frequency.Similarly, gently
It is micro- can also be by setting slight threshold value, what it is lower than the slight threshold value is minor failure.Significant trouble table, such failure can shadows
Vehicle driving safety is rung, or will increase amount of vehicle damage, it can be by technical staff's sets itself.
If current failure is the information included in fault knowledge library, can carry out directly determining its fault category.If current
Failure is the fault message that do not include in fault knowledge library, and the differentiation of S2 step below further progress is needed to handle.
S2.. it counts the occurrence frequency of error code and occurrence tendency differentiates its fault category, such differentiation process is mainly by skill
Teacher checks failure occurrence tendency and occurrence frequency using remote analysis real-time diagnosis system, is collected by channels such as experience and producers
Fault message finally determine its fault occurrence frequency threshold value as reference, and save failure to relevant knowledge library.
Wherein: it is described being classified as true fault and significant trouble, cloud platform issue remind in real time it is real-time to remote analysis
Diagnostic system, the system primarily serve two effects, and one is that the interface of real time remote diagnosis is provided for diagnosis technician, in system
Essential information comprising vehicle, repair message, fault message, the information such as all kinds of parameters during vehicle driving, so as to technician's energy
The real-time and history driving condition of vehicle is enough viewed, is contacted to analyze specific error code with what physical fault occurred, and
The diagnostic comments and diagnostic result for retaining technician, are finally saved in fault knowledge library, to reach gradual perfection fault knowledge
The effect in library.2 be the touching originator as fault diagnosis result, to other need diagnostic result system or terminal push or
The interface for calling diagnostic result is provided.It is described being classified as low frequency failure and insignificant failure, only analyzed as error code data
Reference factor is retained in the big data analysis library of cloud platform, continues monitoring and the analysis is added in the analysis of data next time to examine
Disconnected result.
The diagnostic analysis, including analyzing and dividing the error code data that vehicle acquires within a certain period of time in real time
Analysis, obtains analyzing result and phase analysis result in real time.Analysis result can embody the real-time of diagnosis report in real time, in time
Property.For car owner, real-time and the timeliness of vehicle trouble especially significant trouble are that its is most concerned and most important
's.Phase analysis emphasis is that interim diagnostic result is presented for vehicle, the reference to achieve later and as analyzing next time.Tool
The phase analysis result of the real-time analysis result and each vehicle that have the vehicle of significant trouble is sent to remote analysis and examines in real time
Disconnected system, remote analysis real-time diagnosis system store the big data analysis result of cloud platform, are presented to when being transferred
User is presented by the form of expression of all kinds of charts or data.
Embodiment 3: a kind of vehicle trouble code acquires the device with historical data analysis diagnosis in real time, which is characterized in that packet
Include equipment, categorization module, reminding module, vehicle is struck sparks equipment acquisition error code every time, it is that equipment acquires in real time on vehicle therefore
Hinder code, cloud platform is uploaded to by mobile communications network, cloud platform receives error code data, error code data storage to database
In, cloud platform is carry out big data analysis is combined with stored malfunction history data when time fault data of upload, to event
The failure that barrier code data analyzing and diagnosing obtains is classified, and is reminded according to categorised decision failure.The device for execute and
Realize the method in embodiment 1 and/or 2.
It due to the method for fault collection in the prior art and judgement, is seen a doctor just as patient to hospital, checks electrocardiogram
Equally, what is observed is only one section of situation very in the short time in shop, and the failure occurred before vehicle is even
The failure of accidental mistake can not position, such bottleneck be technical staff analyze vehicle true fault reason and subsequent vehicle with
Track observation all forms the obstacle that can not go beyond together.It summarizes a little can not observe constantly and collects the error code feelings that vehicle occurs
Condition be before diagnostic equipment critical defect.The method and apparatus introduced are invented, are by acquiring vehicle fault code indications in real time simultaneously
Upload to cloud, by cloud storage and regularly big data analysis, have reached solution check at any time vehicle history and in real time with
The purpose of track vehicle condition.
The present embodiment simultaneously uploads to cloud progress cloud storage by real-time detection vehicle trouble code, fault of mobile phone information.It is logical
It crosses to stored a large amount of fault code indications and carries out big data analysis, sentenced according to the variation of the relevant parameter of error code to determine
Disconnected vehicle trouble situation, and identify hidden danger or chance failure, and exclude spurious glitches.The present invention can practical application in 4s
Shop, the industry that actually repairs of vehicle repairing factory have very greatly to helping technician to analyze the failure that actual vehicle occurred or may occur
Help, almost can direct orientation problem.Failure after the present invention can help manufacturer to collect vehicle actual use occurs generally
Rate and analysis vehicle, which improve point, to have very great help.
The preferable specific embodiment of the above, only the invention, but the protection scope of the invention is not
It is confined to this, anyone skilled in the art is in the technical scope that the invention discloses, according to the present invention
The technical solution of creation and its inventive concept are subject to equivalent substitution or change, should all cover the invention protection scope it
It is interior.
Claims (1)
1. a kind of vehicle trouble code acquires the method with historical data analysis diagnosis in real time, which is characterized in that vehicle is struck sparks every time,
Equipment acquires error code, and the error code that equipment acquires in real time on vehicle uploads to cloud platform, cloud platform by mobile communications network
Error code data are received, the storage of error code data into database, cloud platform is the fault data for working as secondary upload and has stored
Malfunction history data combine carry out big data analysis, the failure obtained to error code data analyzing and diagnosing is classified, root
It is reminded according to categorised decision failure；
Described to be to the method that failure is classified: control fault knowledge library differentiates its fault category；
The knowledge base of the differentiation reference of error code classification includes: association failure code table, insignificant high frequency minor failure table and again
Major break down table；If current failure is the fault message that do not include in fault knowledge library, occurrence frequency and the generation of error code are counted
Its fault category of trend discrimination；
Differentiation process mainly checks failure occurrence tendency and occurrence frequency using remote analysis real-time diagnosis system by technician, collects
Fault message finally determines its fault occurrence frequency threshold value as reference, and saves failure to relevant knowledge library；
Described being classified as true fault and significant trouble, cloud platform, which issues, reminds in real time to remote analysis real-time diagnosis system,
The system provides the interface of real time remote diagnosis, includes essential information, repair message, fault message and the vehicle of vehicle in system
All kinds of parameter informations during traveling, as the basis contacted for analyzing specific error code and physical fault generation, and storage is examined
Disconnected opinion and diagnostic result, are finally saved in fault knowledge library；It is described being classified as low frequency failure and insignificant failure, only make
Reference factor is analyzed for error code data to be retained in the big data analysis library of cloud platform, continues monitoring and in data next time point
The analyzing and diagnosing result is added when analysis；
Remote analysis real-time diagnosis system is the touching originator of fault diagnosis result, and system or the end of diagnostic result are needed to other
End push provides the interface for calling diagnostic result；
Diagnostic analysis is obtained including analyzing and being analyzed the error code data that vehicle acquires within a certain period of time in real time
Analysis result and phase analysis in real time is as a result, the real-time analysis result of the vehicle with significant trouble and the stage point of each vehicle
Analysis result is sent to remote analysis real-time diagnosis system, big data analysis knot of the remote analysis real-time diagnosis system cloud platform
Fruit stores, and is presented to user when being transferred, and is presented by the form of expression of all kinds of charts or data；
Vehicle trouble code acquire in real time with historical data analysis diagnosis device, which is characterized in that including equipment, categorization module,
Reminding module, vehicle strike sparks every time equipment acquisition error code, the error code that equipment acquires in real time on vehicle, by mobile radio communication
Network uploads to cloud platform, and cloud platform receives error code data, the storage of error code data into database, cloud platform when time on
The fault data of biography combines carry out big data analysis with stored malfunction history data, obtains to error code data analyzing and diagnosing
To failure classify, according to categorised decision failure remind；
Reminded according to categorised decision failure described is to the method that failure is classified: control fault knowledge library differentiates its failure classes
Not；The knowledge base of the differentiation reference of error code classification includes: association failure code table, insignificant high frequency minor failure table and great
Bug list；
If current failure is the fault message that do not include in fault knowledge library, the occurrence frequency and occurrence tendency for counting error code are sentenced
Its other fault category；Differentiation process mainly checks failure occurrence tendency and generation using remote analysis real-time diagnosis system by technician
Frequency collects fault message and finally determines its fault occurrence frequency threshold value as reference, and saves failure to relevant knowledge library；
Described being classified as true fault and significant trouble, cloud platform, which issues, reminds in real time to remote analysis real-time diagnosis system,
The system provides the interface of real time remote diagnosis, includes essential information, repair message, fault message and the vehicle of vehicle in system
All kinds of parameter informations during traveling, as the basis contacted for analyzing specific error code and physical fault generation, and storage is examined
Disconnected opinion and diagnostic result, are finally saved in fault knowledge library；It is described being classified as low frequency failure and insignificant failure, only make
Reference factor is analyzed for error code data to be retained in the big data analysis library of cloud platform, continues monitoring and in data next time point
The analyzing and diagnosing result is added when analysis.
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