CN106527403A - Vehicle intelligent diagnostic method and device - Google Patents
Vehicle intelligent diagnostic method and device Download PDFInfo
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- CN106527403A CN106527403A CN201611146495.4A CN201611146495A CN106527403A CN 106527403 A CN106527403 A CN 106527403A CN 201611146495 A CN201611146495 A CN 201611146495A CN 106527403 A CN106527403 A CN 106527403A
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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
- G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
- G05B23/0213—Modular or universal configuration of the monitoring system, e.g. monitoring system having modules that may be combined to build monitoring program; monitoring system that can be applied to legacy systems; adaptable monitoring system; using different communication protocols
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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
- G05B2219/24065—Real time diagnostics
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- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Vehicle Cleaning, Maintenance, Repair, Refitting, And Outriggers (AREA)
Abstract
The invention relates to a vehicle intelligent diagnostic method and device. The method includes the following steps: vehicle running state data are collected and recorded in real time through a vehicle-mounted terminal, wherein the vehicle running state data at least includes vehicle working condition data and fault information; and after the fault information is collected, the fault information is immediately uploaded to a remote platform, the remote platform automatically calls the specified vehicle working condition data according to the fault information, and compares the vehicle working condition data with a preset threshold value, matches a corresponding solution, and sends the solution to the vehicle-mounted terminal. The vehicle intelligent diagnostic method provided by the invention automatically diagnose a vehicle fault through the remote platform, and forms a fault solution, thereby guaranteeing the safety of a vehicle running state, and the device has the advantages of being simple and convenient, and being easy to install.
Description
Technical field
The present invention relates to field of vehicle detection, more particularly to a kind of Vehicular intelligent diagnostic method and device.
Background technology
With the continuous improvement of China's economic level, automobile has become requisite traffic work in people's life
Tool, automobile pollution increase severely year by year, and thereupon also with many safety problems, automobile failure diagnosis refer to exist when automobile storage
Potential faults, technology status are deteriorated, or partially or completely disablement, in the case where concrete conditions in the establishment of a specific crime is not understood, are to determine vapour
Car technology status find out detection that trouble location, reason are carried out, and analysis with judge.The base of traditional automobile failure diagnosis
This method has two kinds:One kind is Artificial Diagnosis method, and another kind is instrument and equipment method of diagnosis.Artificial Diagnosis are mainly by diagnosis people
The practical experience and knowledge of member, by simple tool, with soon, ear listen, the sense organ means such as fingerprint, frontier inspection looks into, while testing, while divide
Analysis, and then technical condition of vehicle is judged.Instrument and equipment method of diagnosis is to detect vapour using general or special purpose instrument and equipment
Car, assembly and mechanism, provide quantitative basis to analyze technical condition of vehicle and failure judgement.But both approaches must all be built
Standing in when vehicle is in maintenance place to carry out vehicle detection, therefore, need a kind of new technological means badly, biography can be overcome
System carries out diagnostic mode for vehicle, breaks through the restriction to vehicle region location to be detected, traditional for vehicle is examined
In disconnected mode, the restriction to vehicle region location to be detected, so as to ensure the safety of vehicle.
The content of the invention
The technical problem to be solved is to provide
The technical scheme that the present invention solves above-mentioned technical problem is as follows:A kind of Vehicular intelligent diagnostic method, including:
A. car-mounted terminal Real-time Collection registration of vehicle running state data are passed through, the travel condition of vehicle data are at least
Including vehicle working condition data and fault message;
B. after collecting fault message, fault message is uploaded to into remote platform immediately, remote platform is according to fault message
Automatically vehicle working condition data corresponding with fault message are called;
C. vehicle working condition data are contrasted by remote platform with default threshold value, match corresponding solution, and will
Solution is sent to car-mounted terminal.
On the basis of above-mentioned technical proposal, the present invention can also do following improvement.
Further, also include after step c that step d. carries out remote debugging and/or long-range liter by remote platform
Level, the remote debugging include changing engine condition, and the remote upgrade includes remote upgrade vehicle motor ECU programs,
It is easy to maintainer remote diagnosis can be carried out to electromotor in first occasion steel platform, the floor data of remote monitoring electromotor can
Carry out data scaling, modification engine condition (such as break cylinder power-off, relay folding etc.), the electromotor effect remotely checked after debugging
Really.
Further, step c sets up anomaly data detection model, periodicity collection vehicle in being additionally included in remote platform
Floor data is simultaneously input into anomaly data detection model, obtains predictive value, by predictive value is compared with default threshold value,
Anomaly data detection is carried out, on the basis of detection speed is ensured, the accuracy rate of the judgement for abnormal data is improve.
Further, pretreatment is carried out to periodicity collection vehicle floor data, and pretreated data is carried out sparse
Represent, the pretreatment includes normalized, by the method for rarefaction representation so that data dimension is substantially reduced, reduces
The time of model inspection, with faster detection speed.
Further, the anomaly data detection model includes dynamic property data base, for preserving abnormal behavior,
By by the travel condition of vehicle data of input and property data base priority match, judging whether abnormal data, the spy
Levying data base includes misuse detection training sample database, abnormality detection training sample database and abnormality detection result exceptional sample storehouse, leads to
Cross and abnormality detection result exceptional sample storehouse is added in misuse detection training sample database, misuse detection training sample database is carried out
Update, substantially increase the execution speed of algorithm, realize quick, efficient, accurate abnormality detection.
The present invention also provides a kind of Vehicular intelligent diagnostic equipment, including remote platform and car-mounted terminal,
The car-mounted terminal includes:
Collecting unit, for Real-time Collection travel condition of vehicle data, the travel condition of vehicle data at least include car
Floor data and fault message;
Memory element, for storing travel condition of vehicle data;
Vehicular control unit, is connected with vehicle-mounted ECU, for the vehicle working condition number specified according to the instruction calls of remote platform
According to, remote debugging and remote upgrade;
Communication unit, carries out radio communication for remote platform and car-mounted terminal;
After car-mounted terminal collects fault message, fault message is uploaded to into remote platform immediately, remote platform is used for root
Automatically the vehicle working condition data specified are called according to fault message, after vehicle working condition data are contrasted with default threshold value,
With corresponding solution, and solution is sent to car-mounted terminal.
Further, the remote platform is provided with platform control unit and anomaly data detection unit, platform control unit
For periodicity collection vehicle floor data and it is input into anomaly data detection unit, obtains predictive value, the abnormal data inspection
Unit is surveyed for predictive value is compared with default threshold value, anomaly data detection is carried out.
Further, the remote platform is additionally provided with pretreatment unit, for entering to periodicity collection vehicle floor data
Row pretreatment, and pretreated data are carried out with rarefaction representation, the pretreatment includes normalized.
Further, the anomaly data detection unit is provided with dynamic property data base, special for preserving Deviant Behavior
Levy, by by input data and property data base priority match, judging whether abnormal data, the property data base includes
Misuse detection training sample database, abnormality detection training sample database and abnormality detection result exceptional sample storehouse, by by abnormality detection
Results abnormity Sample Storehouse is added in misuse detection training sample database, and misuse detection training sample database is updated.
Further, also including mobile terminal, the mobile terminal at least includes display module, communication module and control mould
Block, the mobile terminal are connected with car-mounted terminal by remote platform, vehicle motor are remotely examined for maintainer
It is disconnected, be easy to service station maintenance technician can platform vehicle is carried out remote diagnosis by platform can remote monitoring electromotor operating mode
Data, can carry out data scaling, modification engine condition (such as break cylinder power-off, relay folding etc.), after remotely checking debugging
Electromotor effect.
The invention has the beneficial effects as follows:Vehicular intelligent diagnostic method and device in the present invention, can be sent out by being installed on
Collecting unit in motivation, collects travel condition of vehicle, by remote platform to the automatic diagnosis of vehicle trouble, and forms failure solution
Certainly scheme, there is provided to vehicle driver, overcome it is traditional for vehicle is carried out in diagnostic mode, to vehicle region to be detected position
The restriction put, especially for the versatility failure of vehicle, can be that vehicle driver can obtain solution the very first time,
The safety of travel condition of vehicle is ensured, this device has easy, easy-to-install advantage.
Description of the drawings
Fig. 1 is schematic flow sheet of the present invention;
Fig. 2 is schematic structural view of the invention.
Specific embodiment
The principle and feature of the present invention are described below in conjunction with accompanying drawing, example is served only for explaining the present invention, and
It is non-for limiting the scope of the present invention.
As shown in figure 1, the Vehicular intelligent diagnostic method in the present embodiment, it is characterised in that include:
A. car-mounted terminal Real-time Collection registration of vehicle running state data are passed through, the travel condition of vehicle data are at least
Including vehicle working condition data and fault message;
B. after collecting fault message, fault message is uploaded to into remote platform immediately, remote platform is according to fault message
Automatically vehicle working condition data corresponding with fault message are called;
C. vehicle working condition data are contrasted by remote platform with default threshold value, match corresponding solution, and will
Solution is sent to car-mounted terminal;
D. remote debugging and/or remote upgrade are carried out by remote platform, the remote debugging includes changing electromotor shape
State, the remote upgrade include remote upgrade vehicle motor ECU programs.
In the present embodiment, vehicle working condition data can be adopted accordingly by the ID of variable, address and message format
Collection, acquisition mode can be carried out according to actual needs, using by CAN acquisition mode in the present embodiment, be assisted based on J1939
View, gathers the data of DM1 forms, parses SPN and FMI codes, vehicle working condition data and DTC data by remote platform, is stored in
The specified location of car-mounted terminal memorizer, when remote platform initiates to ask to car-mounted terminal, car-mounted terminal is read in specified location
Take and transmit to remote platform by command request.In the present embodiment, remote platform is real by quantity collection to car-mounted terminal request
When Monitoring Data, it is preferable that related data can only be gathered according to the type of failure, without collection total data every time,
Car-mounted terminal is transmitted to remote platform after being disposed immediately, and in the present embodiment, service station maintenance technician can be in platform pair
Electromotor carries out remote diagnosis (read failure code and collection engine data), can remotely ask rent seat expert, seat expert to lead to
Cross platform can remote monitoring electromotor floor data, can carry out data scaling, modification engine condition (as disconnected cylinder power-off, after
Electrical equipment folding etc.), and the electromotor effect remotely checked after debugging.
In the present embodiment, step c also includes setting up anomaly data detection model, and periodicity collection vehicle floor data is simultaneously
It is input into anomaly data detection model, obtains predictive value, by predictive value is compared with the threshold value for pre-setting, carry out different
Regular data detects that, in statistical analysiss field, abnormality detection is the data that will detect undesirably behavior, thus is adapted to answer
For fields such as fault diagnosises, most of method for detecting abnormality are both for a certain specific area problem and are modeled and solve.
These models are affected by various factors, such as data type, the effectiveness of marked data, abnormal class to be detected etc.,
These factors are often determined by the field of problem to be solved that the present embodiment can ensure detection speed by the way of
On the basis of, the precision of detection is improved, the present embodiment is set up anomaly data detection model, determines model parameter by Lasso algorithms,
Input testing data simultaneously obtains predictive value, the predictive value is compared with the threshold value for pre-setting, is judged whether different
Regular data.Judgement to abnormal conditions is converted into into the linear regression of quadratic programming problem, by the finger by testing result is affected
Mark variable is associated with the independent variable X of Lasso problems, and dependent variable has corresponded to the result of detection.In Lasso problems, i.e.,
Model parameter β is to solve for out, β is parameter sets, for multiple linear regression problem, β can even is that a matrix stack
Close.Once model parameter β determines, it is possible to be input into using data to be detected as X, by matrix operationss, it is possible to obtain pre-
Measured value y, then by arranging appropriate threshold value, it is possible to Deviant Behavior data are judged from data.Due to abnormality detection number
It is openness according to existing, therefore parameter estimation models of the Lasso in abnormality detection need to meet the openness requirement of coefficient, and be
The openness of proximate coefficients is reached, the openness of coefficient difference is also realized.Lasso can have as a kind of method for parameter estimation
Effect ground is overcoming shortcoming of the traditional method on variable is selected, and which had both had, and ridge regression (Ridge regression) is this to be had partially
The fitting precision of method of estimation is high, the characteristics of stable to parameter estimation;There is subset to select (Subset Selection) to pick again
Except redundant variables, reduce calculating dimension, so as to improve model accuracy, reduce the advantage of run time.By the system for setting up data
Meter model, takes the mode that parametric regression is estimated to determine detection model, and then follow-up Deviant Behavior is judged
In the present embodiment, pretreatment is carried out to periodicity collection vehicle floor data, and pretreated data is entered
Row rarefaction representation, the pretreatment include normalized.The normalized of paired data in pretreatment, is needed, has been made
Meet Lasso normalization solve mode.Under normal circumstances, the data to collecting will be processed as above, and reduce number
According to span, be conducive to the stability of Algorithm for Solving.
In the present embodiment, set up dynamic property data base, preserve abnormal behavior, by by input data with it is special
Data base's priority match is levied, abnormal data is judged whether, the property data base includes misuse detection training sample database, different
Training sample database and abnormality detection result exceptional sample storehouse are detected often, by abnormality detection result exceptional sample storehouse is added to mistake
With in detection training sample database, misuse detection training sample database is updated, will be input data excellent with the property data base
First match, judge whether abnormal data, the technical scheme in the present embodiment, once large-scale use, due to its data volume
It is huge, therefore carry out rarefaction representation using by base conversion, select appropriate base to convert the compression expression for being conducive to data, subtract
Data after rarefaction representation are standardized, determine independent variable set and strain by the data volume processed by few following model
Amount, sets up the linear solution model of Lasso, and the property data base in the present embodiment is a dynamic data base, preserves those
The abnormal behavior for shooting straight, the data of collection can realize quick detection with the priority match data base.System will be abnormal
In testing result exceptional sample storehouse addition abnormality detection training sample database, realize updating misuse detection training sample database, instruct again
Practice detector, to reach renewal detected rule, shake down automatically.Data to be tested enter the detection model for establishing and carry out
Fitting, the fitting result obtained by which is compared with the threshold value being previously set, less than the threshold value be it is normal, otherwise be then different
Often, and according to the interval of fitting result judge it is which kind of failure, then held according to the predefined rule of detection model
Row is corresponding to be operated.
Correspondingly, the present embodiment also provides a kind of Vehicular intelligent diagnostic equipment, including remote platform and car-mounted terminal,
The car-mounted terminal includes:
Collecting unit, for by car-mounted terminal Real-time Collection travel condition of vehicle data, the travel condition of vehicle number
According at least including vehicle working condition data and fault message;
Memory element, for storing travel condition of vehicle data;
Vehicular control unit, is connected with vehicle-mounted ECU, for the vehicle working condition number specified according to the instruction calls of remote platform
According to, remote debugging and remote upgrade;
Communication unit, carries out radio communication for remote platform and car-mounted terminal;
After car-mounted terminal collects fault message, fault message is uploaded to into remote platform immediately, remote platform is according to event
Barrier information calls the vehicle working condition data specified automatically, and after vehicle working condition data are contrasted with default threshold value, it is right to match
The solution answered, and solution is sent to car-mounted terminal.
In the present embodiment, collecting unit can be by car-mounted terminal Real-time Collection travel condition of vehicle data, the car
Running state data at least includes vehicle working condition data and fault message, and collecting unit is included for gathering various status datas
Sensor group and ECU, by gather fault message be uploaded to remote platform, remote platform is called automatically according to fault message
The vehicle working condition data specified, after vehicle working condition data are contrasted with default threshold value, match corresponding solution, and
Solution is sent to car-mounted terminal.
For example:Exhaustor over-emitting black exhaust, fault verification are collected by collecting unit:True failure.The analysis of causes:Show mixing
Gas overrich, incomplete combustion.Main cause is automobile engine over loading, and cylinder pressure is not enough, and engine temperature is too low, carburetion
Device adjustment is improper, and air filtering core blocking, individual cylinder do not work and lighted a fire slow etc..Default solution is:Should examine in time
Look into whether choke fully opens, overhauled if necessary;From main jet pipe in terms of carburetor mouth after flame-out, if there is oil to outpour or drip
Oil, then float chamber pasta is too high, should be adjusted to prescribed limit, tightens or changes main jet;Air filter is blocked, should clean,
Dredging is changed.
Again for example:Engine noise is collected greatly by collecting unit, during the stepping on accelerator pedal of vehicle original place, has abnormal sound, sent out
There is vibration sense in motivation cabin.Fault verification:Using class failure.The analysis of causes:By collecting unit it can be seen that the bottom shield of electromotor
Plate collides with vestige.If there is barrier on road surface and is forced through, engine bottom guard plates will be collided with.After the deformation of bottom backplate with
Engine sump tank distance becomes near, if distance is too near, oil sump is bumped against with bottom backplate and will send abnormal sound and make when under acceleration
Body vibrations.So, road surface must be examined in driving, should not cause to drag bottom phenomenon to occur.The processing scheme of suggestion is:
Bottom backplate is pulled down, correction is flattened.
Again for example:Find that engine temperature is too high suddenly in operation by collecting unit, fault verification:True failure.Reason
Analysis:If automobile is in running, coolant temperature gauge indicates the position for reaching 100 DEG C quickly, or when cold car starts,
ECT is quickly raised to boiling, switchs to normally after coolant is supplied, but engine power is decreased obviously, and says
Bright electromotor mechanical system breaks down.The reason for causing this kind of failure be mostly:The serious leak of cooling system;Isolation water jacket and gas
The head gasket of cylinder is washed out;Thermostat main valve comes off;Fan belt is released or is ruptured;Pump shaft is released with impeller;Fan
Clutch work is bad, it is proposed that scheme is to see whether there is above-mentioned condition.
In the present embodiment, remote platform is provided with platform control unit and anomaly data detection unit, by platform control
Unit periodicity collection vehicle floor data processed is simultaneously input into anomaly data detection unit, obtains predictive value, the abnormal data
Predictive value is compared by detector unit with the threshold value for pre-setting, and carries out anomaly data detection.
In the present embodiment, remote platform is additionally provided with pretreatment unit, for periodicity collection vehicle floor data
Pretreatment is carried out, and pretreated data are carried out with rarefaction representation, the pretreatment includes normalized.
In the present embodiment, pretreatment unit includes behavioral characteristics data base, for preserving abnormal behavior, by inciting somebody to action
Input data and property data base priority match, judge whether abnormal data, and the property data base includes misuse detection
Training sample database, abnormality detection training sample database and abnormality detection result exceptional sample storehouse, by by abnormality detection result exception
Sample Storehouse is added in misuse detection training sample database, and misuse detection training sample database is updated.
In the present embodiment, also including mobile terminal, the mobile terminal at least includes display module, communication module and control
Molding block, the mobile terminal are connected with car-mounted terminal by remote platform, and maintainer can be by mobile terminal to vehicle
Electromotor carries out remote diagnosis, it is preferable that can also arrange authentication server, and the mobile terminal to accessing remote platform is weighed
Limit management, makes different responsibility personnel obtain corresponding authority.Service station maintenance technician can be carried out remotely to electromotor in platform
Diagnosis (read failure code and collection engine data), can remotely ask rent seat expert, seat expert remotely can supervise by platform
The floor data of control electromotor, can carry out data scaling, and modification engine condition (such as break cylinder power-off, relay folding etc.) is seen
The electromotor effect remotely checked after debugging.Attending a banquet expert can be by platform remote upgrade Engine ECU program, can be long-range
Read the current ECU program version informations of electromotor.
In the present embodiment, remote platform is by sending data acquisition command, it is desirable to which terminal uploads the data specified, and this disappears
Breath needs terminal to upload record data.Terminal, should active upload after an event occurs because of particular event during active record data
Event of failure message, the message need platform to reply general response message.
The foregoing is only presently preferred embodiments of the present invention, not to limit the present invention, all spirit in the present invention and
Within principle, any modification, equivalent substitution and improvements made etc. should be included within the scope of the present invention.
Claims (10)
1. a kind of Vehicular intelligent diagnostic method, it is characterised in that include:
A. car-mounted terminal Real-time Collection registration of vehicle running state data are passed through, the travel condition of vehicle data at least include
Vehicle working condition data and fault message;
B. after collecting fault message, fault message is uploaded to into remote platform immediately, remote platform is automatic according to fault message
Call vehicle working condition data corresponding with fault message;
C. vehicle working condition data are contrasted by remote platform with default threshold value, are matched corresponding solution, and will be solved
Scheme is sent to car-mounted terminal.
2. Vehicular intelligent diagnostic method according to claim 1, it is characterised in that also include after step c:
D. remote debugging and/or remote upgrade are carried out by remote platform, the remote debugging includes changing engine condition, institute
Stating remote upgrade includes remote upgrade vehicle motor ECU programs.
3. Vehicular intelligent diagnostic method according to claim 1, it is characterised in that step c is additionally included in long-range flat
Anomaly data detection model is set up in platform, periodicity collection vehicle floor data is simultaneously input into anomaly data detection model, obtains
Predictive value, by predictive value is compared with default threshold value, carries out anomaly data detection.
4. Vehicular intelligent diagnostic method according to claim 3, it is characterised in that to periodicity collection vehicle floor data
Pretreatment is carried out, and pretreated data are carried out with rarefaction representation, the pretreatment includes normalized.
5. Vehicular intelligent diagnostic method according to claim 4, it is characterised in that the anomaly data detection model includes
Dynamic property data base, for preserving abnormal behavior, by will input travel condition of vehicle data and characteristic
Storehouse priority match, judges whether abnormal data, and the property data base includes misuse detection training sample database, abnormality detection
Training sample database and abnormality detection result exceptional sample storehouse, by abnormality detection result exceptional sample storehouse is added to misuse detection
In training sample database, misuse detection training sample database is updated.
6. a kind of Vehicular intelligent diagnostic equipment, it is characterised in that including remote platform and car-mounted terminal,
The car-mounted terminal includes:
Collecting unit, for Real-time Collection travel condition of vehicle data, the travel condition of vehicle data at least include vehicle work
Condition data and fault message;
Memory element, for storing travel condition of vehicle data;
Vehicular control unit, is connected with vehicle-mounted ECU, for specified according to the instruction calls of remote platform vehicle working condition data,
Remote debugging and remote upgrade;
Communication unit, carries out radio communication for remote platform and car-mounted terminal;
After car-mounted terminal collects fault message, fault message is uploaded to into remote platform immediately, remote platform is for according to event
Barrier information calls the vehicle working condition data specified automatically, and after vehicle working condition data are contrasted with default threshold value, it is right to match
The solution answered, and solution is sent to car-mounted terminal.
7. the Vehicular intelligent diagnostic equipment according to claim 6, it is characterised in that the remote platform is provided with platform control
Unit processed and anomaly data detection unit, platform control unit are used for periodicity collection vehicle floor data and are input into abnormal number
According to detector unit, predictive value is obtained, the anomaly data detection unit enters for predictive value is compared with default threshold value
Row anomaly data detection.
8. the Vehicular intelligent diagnostic equipment according to claim 6, it is characterised in that the remote platform is additionally provided with pre- place
Pretreated data for carrying out pretreatment to periodicity collection vehicle floor data, and are carried out rarefaction representation by reason unit,
The pretreatment includes normalized.
9. the Vehicular intelligent diagnostic equipment according to claim 8, it is characterised in that the anomaly data detection unit is arranged
There is dynamic property data base, for preserving abnormal behavior, by by input data and property data base priority match, sentencing
It is disconnected with the presence or absence of abnormal data, the property data base include misuse detection training sample database, abnormality detection training sample database and
Abnormality detection result exceptional sample storehouse, by abnormality detection result exceptional sample storehouse is added to misuse detection training sample database
In, misuse detection training sample database is updated.
10. the Vehicular intelligent diagnostic equipment according to claim 6, it is characterised in that also including mobile terminal, the movement
Terminal at least includes display module, communication module and control module, and the mobile terminal is connected with car-mounted terminal by remote platform
Connect, remote diagnosis are carried out to vehicle motor for maintainer.
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