CN105867351A - Vehicle fault code real-time acquisition and historical data analysis and diagnosis method and device - Google Patents
Vehicle fault code real-time acquisition and historical data analysis and diagnosis method and device Download PDFInfo
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- CN105867351A CN105867351A CN201610281996.7A CN201610281996A CN105867351A CN 105867351 A CN105867351 A CN 105867351A CN 201610281996 A CN201610281996 A CN 201610281996A CN 105867351 A CN105867351 A CN 105867351A
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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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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Vehicle Cleaning, Maintenance, Repair, Refitting, And Outriggers (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a vehicle fault code real-time acquisition and historical data analysis and diagnosis method and device and belongs to the field of fault code acquisition. The method and device solve the problem about classified warning. The method is characterized by including the steps that each time a vehicle is started, a device collects a fault code, the device collects the fault code on the vehicle in real time, the fault code is uploaded to a cloud platform by a mobile communication network, the cloud platform receives fault code data, the fault code data is stored in a database, the cloud platform combines fault data uploaded last time and stored historical fault data for big data analysis, faults obtained by analyzing and diagnosing the fault code data are classified, and fault reminding is decided according to classification. The method has the effects that warning decisions are determined according to classification, and the phenomenon that warning creditability is reduced because of all warnings can be avoided.
Description
Technical field
The invention belongs to DTC and gather field, relate to the collection of a kind of DTC and the method for analyzing and diagnosing.
Background technology
Vehicle breaks down, and (electric fault refers to occur in ECU, circuit or sensing especially electric fault
Fault on components and parts, is different from a kind of fault that mechanical breakdown exists.) time, general way is to 4s
Shop or repair plant check, can find faster for the fault that can reproduce or frequently occur, but
Be to have some accidental or hiding faults, or be difficult to the fault quickly positioned, can only after know aftersensation wait until
There occurs and just can go maintenance, existing diagnostic products is mainly:
Genuine diagnostic equipment: what this kind of method used when being mainly 4S shop detection fault method.The method is to borrow
Help automobile vendor's genuine diagnostic equipment, connect automobile by wired connection or wireless technology such as () bluetooths, obtain
Vehicle-state when automobile is in 4s shop.Genuine diagnostic equipment price is higher, and is that automobile vendor requires 4s
The standard configuration in shop.
OBD diagnostic equipment: this kind of method is mainly vehicle repairing factory and uses, and price is relatively low.DTC is only limitted to OBD class
Type, and be detection vehicle situation at that time, it is impossible to the fault occurred before the vehicle of location.
Such scheme, it is impossible to the DTC that real-time storage gathers is in order to big data analysis, and the adopting in real time of DTC
After collection and storage are uploaded, also there is new technical problem and produce, after the failure modes that i.e. DTC is corresponding obtains,
Otherwise it is exactly warning purely, or is exactly to be only display, and how for the failure modes that DTC is corresponding,
Carry out selective warning, be possible not only to strengthen warning efficiency, improve the credibility reported to the police.Regardless of whether which kind of fault
The warning all carried out, often makes car owner off one's guard, and the warning of real urgent need is out in the cold.
Summary of the invention
In order to solve the problem that above-mentioned classification is reported to the police, the invention provides a kind of vehicle trouble code Real-time Collection and go through
The method of history data analysis diagnosis, has technical point that vehicle is struck sparks every time, and equipment gathers DTC, and equipment exists
The DTC of Real-time Collection on vehicle, is uploaded to cloud platform by mobile communications network, and cloud platform receives fault yardage
According to, DTC data are stored in database, cloud platform is when time fault data uploaded and the event stored
Barrier historical data combines and carries out big data analysis, and the fault obtaining DTC data analysis diagnosis is carried out point
Class, reminds according to categorised decision fault.
Meanwhile, the invention still further relates to the device of a kind of vehicle trouble code Real-time Collection and historical data analysis diagnosis,
Including equipment, sort module, prompting module, vehicle strike sparks every time equipment gather DTC, equipment is on vehicle
The DTC of Real-time Collection, is uploaded to cloud platform by mobile communications network, and cloud platform receives DTC data,
DTC data store in database, and cloud platform is when time fault data uploaded and the fault history stored
Data combine and carry out big data analysis, and the fault obtaining DTC data analysis diagnosis is classified, according to
Categorised decision fault is reminded.
Beneficial effect: the present invention can realize the Real-time Collection for vehicle trouble code and upload storage, and profit
Process by big data, to fault corresponding to vehicle trouble code with classification, classification determine warning decision-making, can keep away
The phenomenon that the credibility of reporting to the police that exempting from all reports to the police causes reduces.
Accompanying drawing explanation
Fig. 1 is the process schematic 1 of described method.
Fig. 2 is the flow chart of described method.
Detailed description of the invention
Embodiment 1: in order to obtain a kind of with foresight or understand in the way of occurring at any time to process at any time
Vehicle trouble, the present embodiment introduction one is by monitoring vehicle condition, especially vehicle trouble code (automobile in real time
DTC refers to analyze, through automobile computer ECU, the DTC reflected after automobile breaks down, the most frequent
DTC is that sensor fault working sensor is bad to be caused) the big data analysis of change is real-time to carry out automobile
The method of diagnosis, as illustrated in fig. 1 and 2: a kind of vehicle trouble code Real-time Collection and historical data analysis diagnosis
Method, it is characterised in that vehicle is struck sparks every time, equipment gathers DTC, and equipment is Real-time Collection on vehicle
DTC, is uploaded to cloud platform by mobile communications network, and cloud platform receives DTC data, DTC data
Storing in database, cloud platform is combining with the malfunction history data stored when the secondary fault data uploaded
Carrying out big data analysis, the present embodiment does not uses popular big data analysis technique, and the analysis tool of emphasis is logical
Cross experience accumulation, same fault code or similar DTC classified, and allow technician do corresponding diagnosis and
Final confirmation can realize, and the fault obtaining DTC data analysis diagnosis is classified, according to categorised decision
Fault is reminded.Compared with prior art, diagnosis is not limited only to the DTC phenomenon occurred in real time, referring concurrently to
Historical failure information, vehicle attribute information, vehicle driving parameters information etc..This alanysis method can be more effectively
Identify true fault, accuracy rate of diagnosis is higher.Simultaneously according to the level of materiality of fault, urgency level is not
With, it is pushed to the maintaining unit such as car owner or dealer respectively, in order to more effectively ensure that vehicle is tieed up timely
Repair.
Embodiment 2: the described method of classifying fault is:
S1. comparison fault knowledge storehouse differentiates its fault category: the differentiation of DTC classification need to reference to several knowledge bases,
1. association fault code table: the table of association failed storage, in this table, the fault of storage is all insignificant association fault
Code, this type of fault is all to occur at when other faults occur what association together occurred, or owing to vehicle installs it additional
His parts cause, indecisive fault.The most insignificant high frequency minor failure, this type of fault is that frequency occurs
Rate is higher, but damages vehicle degree with regard to its fault and be the most slightly negligible.Described high frequency, Ke Yiyou
Setting high frequency threshold value, exceed this threshold value can be high frequency.In like manner, slightly can also by set slight threshold value,
It is minor failure less than this slight threshold value.Significant trouble table, this type of fault can affect vehicle driving safety,
Or amount of vehicle damage can be increased, can be by technical staff's sets itself.
If current failure is the information included in fault knowledge storehouse, can directly determine its fault category.If
Current failure is the fault message do not included in fault knowledge storehouse, need to carry out the differentiation of following S2 step further
Process.
S2.. occurrence frequency and the occurrence tendency of adding up DTC differentiate its fault category, and this type of differentiates that process is main
Remote analysis real-time diagnosis system is used to check fault occurrence tendency and occurrence frequency, by experience and factory by technician
The fault message that the channels such as family are collected, as reference, finally determines its fault occurrence frequency threshold value, and preserves fault
To relevant knowledge storehouse.
Wherein: described in be categorized as true fault and significant trouble, cloud platform sends real-time reminding to remote analysis
Real-time diagnosis system, this system primarily serves two effects, and one is to provide real time remote to diagnose for diagnosis technician
Interface, system comprises the essential information of vehicle, repair message, fault message, vehicle travel during each
The information such as class parameter, in order to technician can view the real-time of vehicle and history travel conditions, in order to analyzes and provides
Body DTC and contacting that physical fault occurs, and retain diagnostic comments and the diagnostic result of technician, finally preserve
In fault knowledge storehouse, thus reach the effect in gradual perfection fault knowledge storehouse.2 is as fault diagnosis result
Tactile originator, the system needing diagnostic result to other or terminal push or provide calls connecing of diagnostic result
Mouthful.Described that be categorized as low frequency fault and insignificant fault, it is only used as DTC data analysis reference factor and retains
In the big Data analysis library of cloud platform, continue monitoring and add this analyzing and diagnosing knot when upper once data analysis
Really.
Described diagnostic analysis, enters including the DTC data analyzed in real time and gather vehicle in certain period of time
Row is analyzed, and obtains real-time analysis result and phase analysis result.Analysis result can embody diagnosis report in real time
Real-time, promptness.For car owner, the real-time of vehicle trouble especially significant trouble with promptness is
Its most concerned also it is critical that.Phase analysis is it is important that present interim diagnostic result for vehicle, in order to
The reference later achieved and analyze as next time.There is the real-time analysis result of the vehicle of significant trouble and each car
Phase analysis result be all sent to remote analysis real-time diagnosis system, remote analysis real-time diagnosis system is cloud
The big data results of platform stores, and is presented to user when transferring, and is presented by all kinds of chart
Or the form of expression of data.
Embodiment 3: the device that a kind of vehicle trouble code Real-time Collection diagnoses with historical data analysis, its feature exists
In, including equipment, sort module, prompting module, vehicle strike sparks every time equipment gather DTC, equipment is at car
The DTC of Real-time Collection on, is uploaded to cloud platform by mobile communications network, and cloud platform receives DTC data,
DTC data are stored in database, and cloud platform is going through with the fault stored when the secondary fault data uploaded
History data combine and carry out big data analysis, and the fault obtaining DTC data analysis diagnosis is classified, root
Remind according to categorised decision fault.Described device is for performing and realize the method in embodiment 1 and/or 2.
Due to fault collection of the prior art and the method for judgement, see a doctor to hospital just as patient, check the heart
Electrograph is the same, it was observed that be only one section of unusual situation in the short time in shop, occurred before vehicle
The fault of the most accidental mistake of fault all cannot position, such bottleneck is that technical staff analyzes the true of vehicle
Failure cause and subsequent vehicle are followed the tracks of to observe and are all defined the obstacle cannot gone beyond together.Sum up a little the most i.e. cannot time
The critical defect of diagnostic equipment before the DTC situation of vehicle generation is is collected in observation at quarter.Invention introduce method and
Device, is by Real-time Collection vehicle trouble code information and to upload to high in the clouds, by cloud storage and the biggest
Data analysis, reaches to solve to check vehicle history and the purpose of real-time tracking vehicle condition at any time.
The present embodiment is by real time detection vehicle trouble code, and fault of mobile phone information also uploads to high in the clouds and carries out cloud and deposit
Storage.By a large amount of fault code indications stored are carried out big data analysis, according to the relevant parameter of DTC
Change determine and judge vehicle trouble situation, and identify hidden danger or chance failure, and get rid of spurious glitches.
The present invention can actual apply in 4s shop, the actual industry that repairs of vehicle repairing factory, analyzes actual car to helping technician
Occurred or contingent fault had the biggest help, almost can direct orientation problem.Energy of the present invention
Fault rate and analysis vehicle after enough helping manufacturer's collection vehicle actually used improve point and have very great help.
The above, only the invention preferably detailed description of the invention, but the protection domain of the invention
It is not limited thereto, the technical scope that any those familiar with the art discloses in the invention
In, according to the technical scheme of the invention and inventive concept thereof in addition equivalent or change, all should contain
Within the protection domain of the invention.
Claims (10)
1. the method that a vehicle trouble code Real-time Collection diagnoses with historical data analysis, it is characterised in that vehicle is each
Sparking, equipment gathers DTC, and equipment is the DTC of Real-time Collection on vehicle, mobile communications network upload
To cloud platform, cloud platform receives DTC data, DTC data is stored in database, and cloud platform is working as
The secondary fault data uploaded combines with the malfunction history data stored and carries out big data analysis, to fault yardage
The fault obtained according to analyzing and diagnosing is classified, and reminds according to categorised decision fault.
2. vehicle trouble code Real-time Collection as claimed in claim 1 and the method for diagnosis, it is characterised in that described right
The method that fault carries out classifying is: comparison fault knowledge storehouse differentiates its fault category.
3. vehicle trouble code Real-time Collection as claimed in claim 2 and the method for diagnosis, it is characterised in that DTC
The knowledge base differentiating reference of classification includes: association fault code table, insignificant high frequency minor failure table and great
Bug list.
4. vehicle trouble code Real-time Collection as claimed in claim 2 and the method for diagnosis, it is characterised in that if current
Fault is the fault message do not included in fault knowledge storehouse, and occurrence frequency and the occurrence tendency of statistics DTC differentiate
Its fault category.
5. vehicle trouble code Real-time Collection as claimed in claim 4 and the method for diagnosis, it is characterised in that differentiated
Journey is mainly used remote analysis real-time diagnosis system to check fault occurrence tendency and occurrence frequency by technician, collects event
Barrier information, as reference, finally determines its fault occurrence frequency threshold value, and preserves fault to relevant knowledge storehouse.
6. vehicle trouble code Real-time Collection as claimed in claim 1 and the method for diagnosis, it is characterised in that described point
Class is true fault and significant trouble, and cloud platform sends real-time reminding to remote analysis real-time diagnosis system, should
System provides the interface of real time remote diagnosis, comprises the essential information of vehicle, repair message, fault letter in system
All kinds of parameter informations during breath and vehicle traveling, as analyzing concrete DTC and contacting that physical fault occurs
Basis, and store diagnostic comments and diagnostic result, be finally saved in fault knowledge storehouse.
7. vehicle trouble code Real-time Collection as claimed in claim 6 and the method for diagnosis, it is characterised in that remotely divide
Analysis real-time diagnosis system is the tactile originator of fault diagnosis result, the system needing diagnostic result to other or terminal
Push or the interface calling diagnostic result is provided.
Vehicle trouble code Real-time Collection the most as claimed in claims 6 or 7 and the method for diagnosis, it is characterised in that institute
State and be categorized as low frequency fault and insignificant fault, be only used as DTC data analysis reference factor and be retained in cloud and put down
In the big Data analysis library of platform, continue monitoring and add this analyzing and diagnosing result when upper once data analysis.
9. vehicle trouble code Real-time Collection as claimed in claim 1 and the method for diagnosis, it is characterised in that diagnosis point
Analysis, is analyzed including the DTC data analyzed in real time and gather vehicle in certain period of time, obtains reality
Time analysis result and phase analysis result, there is the real-time analysis result of the vehicle of significant trouble and each vehicle
Phase analysis result is all sent to remote analysis real-time diagnosis system, and remote analysis real-time diagnosis system is cloud platform
Big data results store, presented to user when transferring, be presented by all kinds of chart or number
According to the form of expression.
10. the device that a vehicle trouble code Real-time Collection diagnoses with historical data analysis, it is characterised in that include setting
Standby, sort module, prompting module, vehicle strike sparks every time equipment gather DTC, equipment is adopted on vehicle in real time
The DTC of collection, is uploaded to cloud platform by mobile communications network, and cloud platform receives DTC data, DTC
Data store in database, and cloud platform is when time fault data uploaded and the malfunction history data phase stored
In conjunction with carrying out big data analysis, the fault obtaining DTC data analysis diagnosis is classified, according to classification certainly
Plan fault is reminded.
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