CN106504367A - Vehicle trouble method for early warning and device - Google Patents
Vehicle trouble method for early warning and device Download PDFInfo
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- CN106504367A CN106504367A CN201610950949.7A CN201610950949A CN106504367A CN 106504367 A CN106504367 A CN 106504367A CN 201610950949 A CN201610950949 A CN 201610950949A CN 106504367 A CN106504367 A CN 106504367A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0808—Diagnosing performance data
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0816—Indicating performance data, e.g. occurrence of a malfunction
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Abstract
The invention discloses a kind of vehicle trouble method for early warning and device.Wherein, the method includes：The current travelling data of vehicle is obtained, wherein, travelling data includes the variate-value of at least one parameter；Travelling data current for vehicle is compared with the normal driving numerical value area and abnormal running numerical value area of vehicle respectively, determines the numerical value area belonging to travelling data；When travelling data falls into abnormal running numerical value area, corresponding early warning information is generated.The present invention solves existing train and causes to eliminate potential faults before failure occurs before failure generation without fault pre-alarming information and then affect the technical problem of the traffic safety of train.
Description
Technical field
The present invention relates to vehicle fault detection field, in particular to a kind of vehicle trouble method for early warning and device.
Background technology
In this area, for the normal operation of support vehicles (for example, subway, intercity car etc.), to vehicle hidden failure
Detection seems particularly significant.But, existing railcar or intercity car vehicle only just can be aobvious in drivers' cab when failure occurs
Show that device reports out, and before failure occurs, train does not have any early warning information.So driver can neither take some to arrange in advance
Applying prevents the generation of failure, can not make an immediate response when failure occurs, in some instances it may even be possible to can affect the traffic safety of train.Separately
Outward, for the maintenance of train, and related maintenance is just carried out after failure occurs, it is impossible to which the critical interval before failure occurs carries
Front maintenance associated components, eliminate potential faults.
Cause to eliminate before failure occurs before failure generation without fault pre-alarming information for above-mentioned existing train
The problem of the traffic safety of potential faults and then impact train, not yet proposes effective solution at present.
Content of the invention
A kind of vehicle trouble method for early warning and device is embodiments provided, existing train is at least solved in failure
Cause potential faults can not be eliminated before failure occurs without fault pre-alarming information before occurring and then affect the traffic safety of train
Technical problem.
A kind of one side according to embodiments of the present invention, there is provided vehicle trouble method for early warning, including：Obtain vehicle to work as
Front travelling data, wherein, travelling data includes the variate-value of at least one parameter；By travelling data current for vehicle respectively with
The normal driving numerical value area and abnormal running numerical value area of vehicle compares, and determines the numerical value area belonging to travelling data；Work as driving
Data fall into abnormal running numerical value area, generate corresponding early warning information.
Another aspect according to embodiments of the present invention, additionally provides a kind of vehicle trouble prior-warning device, including：Obtain mould
Block, current for the obtaining vehicle travelling data, wherein, travelling data includes the variate-value of at least one parameter；Determining module,
For travelling data current for vehicle is compared with the normal driving numerical value area and abnormal running numerical value area of vehicle respectively, really
Determine the numerical value area belonging to travelling data；Output module, for falling into abnormal running numerical value area when travelling data, generates corresponding pre-
Alarming information.
In embodiments of the present invention, by the way of the normal driving numerical value area and abnormal running numerical value area of vehicle is set up,
The travelling data current by obtaining vehicle, wherein, travelling data includes the variate-value of at least one parameter；Vehicle is current
Travelling data is compared with the normal driving numerical value area and abnormal running numerical value area of vehicle respectively, determines belonging to travelling data
Numerical value area；When travelling data falls into abnormal running numerical value area, corresponding early warning information is generated, reached before failure occurs or deposited
Dependent failure information the purpose that report are detected in potential faults in advance, it is achieved thereby that vehicle trouble early warning, raising row
The technique effect of car safety, and then cause without fault pre-alarming information can not be in failure before failure generation to solve existing train
Potential faults are eliminated before occurring and then affects the technical problem of the traffic safety of train.
Description of the drawings
Accompanying drawing described herein is used for providing a further understanding of the present invention, constitutes the part of the application, this
Bright schematic description and description does not constitute inappropriate limitation of the present invention for explaining the present invention.In the accompanying drawings：
Fig. 1 is a kind of vehicle trouble method for early warning flow chart according to embodiments of the present invention；
Fig. 2 is a kind of optional vehicle trouble method for early warning flow chart according to embodiments of the present invention；
Fig. 3 is a kind of optional vehicle trouble method for early warning flow chart according to embodiments of the present invention；
Fig. 4 is a kind of optional vehicle trouble method for early warning flow chart according to embodiments of the present invention；
Fig. 5 is a kind of optional vehicle trouble method for early warning flow chart according to embodiments of the present invention；
Fig. 6 is a kind of optional vehicle trouble method for early warning flow chart according to embodiments of the present invention；
Fig. 7 is a kind of optional vehicle trouble method for early warning flow chart according to embodiments of the present invention；
Fig. 8 is a kind of optional vehicle trouble method for early warning flow chart according to embodiments of the present invention；
Fig. 9 is a kind of optional vehicle trouble method for early warning flow chart according to embodiments of the present invention；
Figure 10 is a kind of preferred vehicle trouble method for early warning flow chart according to embodiments of the present invention；And
Figure 11 is a kind of vehicle trouble prior-warning device schematic diagram according to embodiments of the present invention.
Specific embodiment
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention in
Accompanying drawing, to the embodiment of the present invention in technical scheme be clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, rather than whole embodiments.Embodiment in based on the present invention, ordinary skill people
The every other embodiment obtained under the premise of creative work is not made by member, should all belong to the model of present invention protection
Enclose.
It should be noted that description and claims of this specification and the term " first " in above-mentioned accompanying drawing, "
Two " it is etc. for distinguishing similar object, without for describing specific order or precedence.It should be appreciated that so using
Data can exchange in the appropriate case, so as to embodiments of the invention described herein can with except here diagram or
Order beyond those of description is implemented.Additionally, term " comprising " and " having " and their any deformation, it is intended that cover
Lid is non-exclusive to be included, and for example, the process, method, system, product or the equipment that contain series of steps or unit are not necessarily limited to
Those steps that clearly lists or unit, but may include clearly not list or for these processes, method, product
Or intrinsic other steps of equipment or unit.
Embodiment 1
According to embodiments of the present invention, there is provided a kind of vehicle trouble method for early warning embodiment, it should be noted that in accompanying drawing
Flow process can execute in the such as computer system of one group of computer executable instructions the step of illustrate, and, although
Show logical order in flow charts, but in some cases, can with the order being different from herein execute shown or
The step of description.
Fig. 1 is a kind of vehicle trouble method for early warning flow chart according to embodiments of the present invention, as shown in figure 1, the method bag
Include following steps：
Step S102, obtains the current travelling data of vehicle, and wherein, travelling data includes the variable of at least one parameter
Value.
In above-mentioned steps, above-mentioned travelling data can be the history row of the vehicle recorded by the drive recorder of vehicle
Car data, can include vehicle multiple parameters and its in value not in the same time, for example, it may be vehicle is not in the same time
Motor temperature or line voltage.
Step S104, by travelling data current for vehicle normal driving numerical value area and abnormal running numerical value respectively with vehicle
Area compares, and determines the numerical value area belonging to travelling data.
In above-mentioned steps, above-mentioned normal driving numerical value area can be the environment number by vehicle within the normally operation period
Variate-value according to the parameters for obtaining is interval；Above-mentioned abnormal running numerical value area can be faulty since being opened by vehicle
The variate-value of the parameters that history data is obtained is interval；After the current travelling data of vehicle is obtained, vehicle can be worked as
Front travelling data is compared with the normal driving numerical value area and abnormal running numerical value area that pre-set, may thereby determine that car
Numerical value area belonging to current travelling data.
Step S106, when travelling data falls into abnormal running numerical value area, generates corresponding early warning information.
In above-mentioned steps, in normal driving numerical value area and exception row by travelling data current for vehicle respectively with vehicle
After car numerical value area compares, if the current travelling data of vehicle belongs to abnormal running numerical value area, generate and currently drive a vehicle
The corresponding fault message of data, for example, the excessively high information of motor temperature.
From the foregoing, it will be observed that in the above embodiments of the present application, by the history travelling data according to vehicle, just setting up vehicle
Often drive a vehicle numerical value area and abnormal running numerical value area, then the normal driving numerical value area by travelling data current for vehicle respectively with vehicle
Compare with abnormal running numerical value area, the numerical value area that the travelling data according to vehicle falls into judging the real time status of vehicle,
Reached and dependent failure information the purpose for reporting has been detected in advance before failure occurs or when there are potential faults, so as to realize
Vehicle trouble early warning, the effect for improving traffic safety, and then existing train is solved before failure generation without fault pre-alarming
Information causes to eliminate potential faults before failure occurs and then affect the technical problem of the traffic safety of train.
In a kind of optional embodiment, as shown in Fig. 2 travelling data current for vehicle is normal with vehicle respectively
Before driving numerical value area and abnormal running numerical value area compare, said method also includes：Step 103, sets up the normal of vehicle
Driving numerical value area and abnormal running numerical value area.
In a kind of optional embodiment, as shown in figure 3, the normal driving numerical value area for setting up vehicle includes：
Step S202, by drive recorder, obtains the history travelling data in the first preset period of time of vehicle；
Step S204, creates at least one parametric variable chained list, wherein, parametric variable according to the history travelling data of vehicle
Chained list includes：The name variable of parameter and each parameter are in not corresponding variate-value in the same time；
Step S206, the variate-value of each parameter in parametric variable chained list is processed, and obtains parametric variable corresponding
Numerical range；
Step S208, by each parametric variable in parametric variable chained list in the form of marking code with corresponding numerical range
It is collectively stored in the normal driving numerical value area of vehicle.
In above-mentioned steps, above-mentioned first preset period of time can be that any one time period after operation opened by vehicle；Above-mentioned
Parametric variable chained list can be vehicle environmental variable chained list, and vehicle environmental chained list as shown in table 1, parametric variable chained list can be wrapped
Include：The name variable of parameter and each parameter are in not corresponding variate-value in the same time；Vehicle is being got by drive recorder
Certain period in history travelling data after, can according to the history travelling data of vehicle create vehicle parametric variable (ring
Border variable) chained list, obtain the corresponding numerical range of vehicle parameter variable, finally by vehicle after certain process being carried out to variate-value
In parametric variable chained list, each parametric variable is just being collectively stored in vehicle with corresponding numerical range in the form of marking code
Often drive a vehicle numerical value area, as shown in table 2.
1 environmental variable chained list of table
The normal driving numerical value area content of table 2
In a kind of optional embodiment, 1 year can be chosen as the first preset period of time, that is, collect vehicle nearly 1 year since
History travelling data, sample all environmental variables from daily data and corresponding chained list of the assignment to all environmental variables
In.
The history travelling data according to vehicle is achieved by above-mentioned steps, the mesh in the normal driving numerical value area of vehicle is created
's.
In a kind of optional embodiment, as shown in figure 4, creating at least one parameter according to the history travelling data of vehicle
Variable chained list, may include steps of：
Step S2041, at predefined intervals the time, reads the variate-value of primary parameter from history travelling data；
Step S2043, if detect the presence of fault message in the time range residing for the value moment, postpones pre- timing
Between after again read off the variate-value of parameter；
Step S2045, collects the variate-value of at least one parameter for reading, obtains parametric variable chained list.
In above-mentioned steps, read the variate-value of primary parameter from history travelling data by timing to create parameter change
Amount (environmental variable) chained list, in order to avoid reading abnormal parameter variable values in travelling data as the normal driving number of vehicle
, there is fault message in the time range residing for the real-time detection value moment in value, if there is failure letter in value moment vehicle
Breath, then again read off the variate-value of parameter, finally according to all parametric variables for reading, obtain parameter after delay scheduled time
Variable chained list.
By above-mentioned steps, can avoid reading abnormal parameter variable values in travelling data as the normal row of vehicle
Car numerical value.
In a kind of optional embodiment, as shown in figure 5, the variate-value of each parameter in parametric variable chained list is carried out
Process, obtain the corresponding numerical range of parametric variable, may include steps of：
Step S2043a, before and after Selecting time in Preset Time, judges that vehicle whether there is failure；
Step S2043b, if there is no failure, the change of each parameter in direct access history travelling data in vehicle
Value；
This Selecting time, if vehicle has failure, is delayed the scheduled time, then is driven a vehicle from history by step S2043c
The variate-value of each parameter is read in data.
In above-mentioned steps, if detect in the time range residing for the value moment the presence of fault message, car is judged
Whether there is failure in Preset Time (less than the interval time of value) before and after Selecting time, if there is no failure,
The then variate-value of each parameter in direct access history travelling data；If vehicle has failure, by this Selecting time
Delay the scheduled time, then the variate-value that each parameter is read from history travelling data.
Specifically, above-described embodiment can be described in conjunction with a kind of optional embodiment, the beginning is established by cable from when the sky, every
10 minutes (1-20 minutes, can be determined according to disposal ability, time interval is less, and precision is higher), each environmental variable takes
Value is once.If with the presence of train fault in 1 minute before and after the value moment, this value delayed 5 minutes, value below
Moment postpones successively, to ensure that the value for obtaining is the environmental data that train normally runs the period.
The vehicle that ensure that by above-mentioned steps is normally driven a vehicle the accuracy in numerical value area.
In a kind of optional embodiment, as shown in fig. 6, above-mentioned steps S206 include：
Step S2061, is ranked up to the variate-value of each parameter in parametric variable chained list；
Step S2063, deletes the variate-value of the parameter in precalculated position in parametric variable chained list, obtains initial results；
Step S2065, according to the maximum variate-value in initial results and minimum variate-value, obtains the corresponding number of parametric variable
Value scope.
In above-mentioned steps, the variate-value of the parameter in above-mentioned precalculated position can be maximum and/or minimum several values, by
The corresponding a lot of variate-values of each parameter in parametric variable chained list, the variate-value is the parameter in not taking in the same time
Value, in order to avoid abnormal variate-value, can be ranked up to the variate-value of each parameter in parametric variable chained list, then delete
Except the variate-value of the parameter in precalculated position in parametric variable chained list, initial results are obtained；According to the maximum variable in initial results
Value and minimum variate-value, obtain the corresponding numerical range of parametric variable.
In a kind of optional embodiment, by taking above-mentioned 5 minimum and maximum values as an example, by each environmental variable chained list
Numerical value is ranked up, by sequence after numerical value carry out simple Filtering Processing, filtering method：Get rid of maximum in sequence 5
5 numerical value (can be 3-20, can according to be actually adjusted) of numerical value and minimum, to ensure the accurate of data as far as possible
Property.Maximum and minima is chosen from filtered numerical value, you can obtain each environmental variable corresponding normal range.
By above-mentioned steps, abnormal numerical value in the variate-value of each parameter of vehicle is eliminated, the normal row of vehicle is improve
The accuracy of numerical value in car numerical value area.
In a kind of optional embodiment, as shown in fig. 7, the abnormal running numerical value area for setting up vehicle includes：
Step S302, obtains the fault data of vehicle, and wherein, fault data at least includes：Failure title, the generation of failure
Time；
Step S304, creates failure chained list collection according to fault data, and wherein, failure chained list collection includes：Failure title and per
The corresponding chained list of individual failure, chained list is corresponding to each parametric variable in travelling data；
Step S306, concentrates the data processing in each chained list to failure chained list, obtains each failure each ginseng corresponding
The numerical range of number variable；
Step S308, by the numerical range of each parametric variable corresponding for each failure and normal driving numerical value area each
The numerical range of parametric variable is compared, and obtains the corresponding marking code of off-limits parametric variable；
Step S310, corresponding to the code of failure and failure at least one anomaly parameter variant code has been identified and has been stored in
The abnormal running numerical value area of vehicle.
In above-mentioned steps, above-mentioned fault data since can opening including vehicle all of failure and failure occur
Time, according to the fault data of vehicle create failure chained list collection, then according to failure chained list concentrate each failure corresponding each
The numerical value of parametric variable, by being contrasted with normally the drive a vehicle numerical value of each parametric variable in numerical value area of vehicle one by one, is obtained low
In or higher than the corresponding marking code of the parametric variable of normal range, the code finally according to failure is corresponding with anomaly parameter variable
Marking code be collectively stored in abnormal running numerical value area.
Used as optionally a kind of embodiment, above-mentioned fault data can open the institute since operation by collecting train
Faulty history data, in conjunction with train fault inventory (the faulty consolidated statement of train institute), by the 1st article of failure in fault list
Start, when all failures generations are found in fault record, and record；Then all in traversal fault list successively
Failure, obtains time of failure table, as shown in table 3.
3 time of failure log of table
The fault record data according to vehicle are achieved by above-mentioned steps, the mesh in the abnormal running numerical value area of vehicle is created
's.
As a kind of optional embodiment, each failure that can be directed in fault list, corresponding chained list is created
Collection, the chained list that the corresponding chained list of each environmental variable in travelling data is concentrated.The failure of wall scroll failure logging is occurred
Moment is extracted, and reviews the position for finding that the failure occurs the moment, (1- from the beginning of before the moment 1 minute from travelling data
Can adjust in practice within 10 minutes), the value of all environmental variables was recorded once to the failure pair every 10 seconds (the 5-20 seconds are adjustable)
The chained list that answers is concentrated, till failure occurs the moment.The value of the environmental variable at all moment that the failure occur is recorded successively
Concentrate to chained list.In this approach, to fault list in the faulty create chain table collection of institute, as shown in table 4.
4 failure chained list set content of table
In a kind of optional embodiment, as shown in figure 8, creating failure chained list collection, wherein, failure chain according to fault data
Table collection includes：Failure title and the corresponding chained list of each failure, may include steps of：
Step S3021, according to the time that failure occurs, searches time of origin of the vehicle in failure in history travelling data
The position at place；
Step S3023, in the Preset Time before the time of origin of failure, interval Preset Time extracts failure pair successively
The variate-value of each parameter that answers；
Step S3025, according to the variate-value of corresponding at least one parameter of the failure extracted, creates failure chained list collection.
In above-mentioned steps, according to the time of origin of vehicle trouble, vehicle is searched in history travelling data in failure
The position that time of origin is located；Then, in the Preset Time before the time of origin of failure, in driving record data,
Interval Preset Time extracts the variate-value of failure each parameter corresponding successively；Finally according to the parameter variable values for extracting, create
Failure chained list collection.
The fault record data according to vehicle are achieved by above-mentioned steps, the purpose of the failure chained list collection of vehicle is created.
In a kind of optional embodiment, as shown in figure 9, concentrating the data processing in each chained list to failure chained list, obtain
To the numerical range of each failure each parametric variable corresponding, may include steps of：
Failure chained list is concentrated the data sorting in each chained list by step S3061, is obtained failure each parameter corresponding and is become
The maximum of amount and minima；
Step S3063, according to maximum and the minima of failure each parametric variable corresponding, obtains each failure corresponding
Each parametric variable numerical range.
In above-mentioned steps, to the data sorting in each chained list of the chained list concentration of wall scroll failure, the failure pair is obtained
Answer maximum and the minima of each environmental variable, by which with data base in each environment of normal driving numerical value area record become
The numerical range of amount compares, and records out the marking code of off-limits environmental variable.Whole failure is traveled through with as above method clear
Institute in list is faulty, and every failure corresponds to 1 or a plurality of abnormal environment variant code mark, by the failure code of every failure
And corresponding abnormal environment variant code is stored in the abnormal running numerical value area of data base, abnormal running numerical value area is as shown in table 5.
5 abnormal running numerical value area content of table
The failure chained list collection according to vehicle is achieved by above-mentioned steps, the purpose in abnormal running numerical value area is created.
As a kind of preferred embodiment, this can be described in conjunction with the single failure early warning decision flow chart shown in Figure 10
Application above-described embodiment.As shown in Figure 10, may include steps of：
Step S802, starts.
Step S804, gathered the real-time travelling data of a train per 1 second.
In above-mentioned steps, in train normal course of operation, obtain every 1 second (200 milliseconds -5 seconds adjustable) and once arrange
The real-time travelling data of car.
Step S806, the data of Real-time Collection are compared with the context variable values in normally driving numerical value area one by one.
In above-mentioned steps, by prestored in each context variable values in the travelling data for obtaining in real time and data base
Normally the drive a vehicle context variable values in numerical value area of vehicle are compared one by one.
Whether step S808, judge the environmental variable that gathers within the normal range.
In above-mentioned steps, certain environmental variable is judged in the current travelling data for gathering whether within the normal range,
If being below or above normal range, execution step S810；If within normal range, execution step S12.
Step S810, recording exceptional environmental variable code.
In above-mentioned steps, if the environment that there is variate-value in the current travelling data of collection more than normal range becomes
Amount, then record the code of the abnormal environment variable for transfiniting.
Step S812, judges whether all numerical value compare and completes.
In above-mentioned steps, all environmental variables will normally drive a vehicle with vehicle one by one number in the current travelling data of collection
Value area compares, and obtains all abnormal environment variant codes.
Step S814, judges in the environmental variable of this collection with the presence or absence of abnormal environment variable.
In above-mentioned steps, judge to whether there is abnormal environment variable in the current travelling data of collection, if do not deposited
In then execution step S818；If there is abnormal environment variable, then execution step S816.
Step S816, according to record all abnormal environment codes, from the abnormal running numerical value area of data base find with
Corresponding failure code, carry out fault pre-alarming.
In above-mentioned steps, according to the code of this abnormal environment variable for gathering, from the abnormal running data of data base
Corresponding failure (one or more) are searched in area, obtain the failure code of these failures, and these failures are likely to be occurred
Or have potential potential faults, need to cause the attention of related personnel or take related counter-measure in advance to avoid failure
Occur, affect traffic safety.It is dealt into ground system while failure code is obtained or is shown by train display,
Just can be known by related personnel, reach the effect that failure gives warning in advance.For example, when driving, by obtain in real time each
The context variable values in environmental variable and normally driving numerical value area are compared, and after having compared all environmental variables, it is found that TC1 cars are electric
3 temperature of machine (code 94), TC1 vehicle motor electric currents (code 193) the two environmental variable numerical value transfinite, then obtain one group of abnormal ring
Border variant code for (94,193), just find in the abnormal running data field of data base (94,193) this group of abnormal environment variable
It is " 3 sensor fault of TC1 cars traction electric machine " that code is corresponding, and without other failures with (94,193) coupling, then send " TC1
3 sensor fault of car traction electric machine " fault pre-alarming.
Step S818, terminates.
By above step, the above embodiments of the present application, according to the analysis to train environment variable in train travel data,
Before failure occurs or when there are potential faults, can shift to an earlier date the regular hour detects related fault message and reports,
Reach early warning effect.So, driver can have time enough to take measures on customs clearance, to prevent the generation of failure or understand potential
Potential faults, substantially increase traffic safety.Maintainer can also be after train Hui Ku, according to early warning information to associated components
Overhauled or checked, to lower or eliminate the possibility of report failure.
Embodiment 2
According to embodiments of the present invention, a kind of vehicle trouble prior-warning device embodiment is additionally provided.In the embodiment of the present invention 1
Vehicle trouble method for early warning can be executed in the device of the embodiment of the present invention 2.
Figure 11 is a kind of vehicle trouble prior-warning device schematic diagram according to embodiments of the present invention, as shown in figure 11, the device
Including：Acquisition module 901, determining module 903 and output module 905.
Wherein, acquisition module 901, current for the obtaining vehicle travelling data, wherein, travelling data includes at least one
The variate-value of parameter；
Determining module 903, for normal driving numerical value area and exception by travelling data current for vehicle respectively with vehicle
Driving numerical value area compares, and determines the numerical value area belonging to travelling data；
Output module 905, for falling into abnormal running numerical value area when travelling data, generates corresponding early warning information.
From the foregoing, it will be observed that in the above embodiments of the present application, by the history travelling data according to vehicle, just setting up vehicle
Often drive a vehicle numerical value area and abnormal running numerical value area, then the normal driving numerical value area by travelling data current for vehicle respectively with vehicle
Compare with abnormal running numerical value area, the numerical value area that the travelling data according to vehicle falls into judging the real time status of vehicle,
Reached and dependent failure information the purpose for reporting has been detected in advance before failure occurs or when there are potential faults, so as to realize
Vehicle trouble early warning, the effect for improving traffic safety, and then existing train is solved before failure generation without fault pre-alarming
Information causes to eliminate potential faults before failure occurs and then affect the technical problem of the traffic safety of train.
In a kind of optional embodiment, said apparatus also include：Setup module, for setting up the normal driving number of vehicle
Value area and abnormal running numerical value area.
In a kind of optional embodiment, above-mentioned setup module also includes：Acquiring unit, for passing through drive recorder,
Obtain the history travelling data in the first preset period of time of vehicle；Arranging unit, creates for the history travelling data according to vehicle
At least one parametric variable chained list is built, wherein, parametric variable chained list includes：The name variable of parameter and each parameter are in difference
Carve corresponding variate-value；Processing unit, for being processed the variate-value of each parameter in parametric variable chained list, is joined
The corresponding numerical range of number variable；Memory element, for by each parametric variable in parametric variable chained list with the shape of marking code
Formula is collectively stored in the normal driving numerical value area of vehicle with corresponding numerical range.
In a kind of optional embodiment, above-mentioned acquiring unit also includes：Read module, at predefined intervals when
Between, the variate-value of primary parameter is read from history travelling data；Detection module, if for detecting residing for the value moment
There is fault message in time range, then the variate-value of parameter is again read off after delay scheduled time；Processing module, for collecting
The variate-value of at least one parameter for reading, obtains parametric variable chained list.
In a kind of optional embodiment, above-mentioned detection module also includes：Judging unit, for before and after Selecting time
In Preset Time, judge that vehicle whether there is failure；First performance element, if there is no failure for vehicle, directly obtains
Take the variate-value of each parameter in history travelling data；Second performance element, if there is failure for vehicle, by this
Selecting time delays the scheduled time, then the variate-value for reading each parameter from history travelling data.
In a kind of optional embodiment, above-mentioned processing unit also includes：First subprocessing module, for parametric variable
The variate-value of each parameter in chained list is ranked up；Second subprocessing module, for deleting pre-determined bit in parametric variable chained list
The variate-value of the parameter that puts, obtains initial results；Determination sub-module, for according to the maximum variate-value in initial results and minimum
Variate-value, obtains the corresponding numerical range of parametric variable.
In a kind of optional embodiment, said apparatus also include：Second acquisition module, for obtaining the number of faults of vehicle
According to wherein, fault data at least includes：Failure title, the time of origin of failure；Creation module, for creating according to fault data
Failure chained list collection is built, wherein, failure chained list collection includes：Failure title and the corresponding chained list of each failure, chained list is corresponding to driving
Each parametric variable in data；Second processing module, for concentrating the data processing in each chained list to failure chained list, obtains
The numerical range of each failure each parametric variable corresponding；Second determining module, for by corresponding for each failure each ginseng
The numerical range of number variable is compared with the numerical range of each parametric variable in normally driving numerical value area, obtains off-limits ginseng
The corresponding marking code of number variable；Second memory module, for joining corresponding to the code of failure and failure at least one exception
Number variable marking code acts the abnormal running numerical value area for being stored in vehicle.
In a kind of optional embodiment, above-mentioned second acquisition module also includes：Searching unit, for occurring according to failure
Time, in history travelling data search vehicle failure time of origin be located position；Extraction unit, in failure
Time of origin before Preset Time in, interval Preset Time extracts the variate-value of corresponding each parameter of failure successively；Wound
Unit is built, for the variate-value according to corresponding at least one parameter of the failure extracted, failure chained list collection is created.
In a kind of optional embodiment, above-mentioned Second processing module also includes：3rd subprocessing unit, for by failure
Chained list concentrates the data sorting in each chained list, obtains maximum and the minima of failure each parametric variable corresponding；Determine
Unit, for the maximum according to failure each parametric variable corresponding and minima, obtains each failure each ginseng corresponding
The numerical range of number variable.
The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.
In the above embodiment of the present invention, the description of each embodiment is all emphasized particularly on different fields, do not had in certain embodiment
The part of detailed description, may refer to the associated description of other embodiment.
In several embodiments provided herein, it should be understood that disclosed technology contents, can pass through other
Mode is realized.Wherein, device embodiment described above is only schematic, the division of for example described unit, Ke Yiwei
A kind of division of logic function, can have when actually realizing other dividing mode, for example multiple units or component can in conjunction with or
Person is desirably integrated into another system, or some features can be ignored, or does not execute.Another, shown or discussed is mutual
Between coupling or direct-coupling or communication connection can be INDIRECT COUPLING or communication link by some interfaces, unit or module
Connect, can be electrical or other forms.
The unit that illustrates as separating component can be or may not be physically separate, aobvious as unit
The part for showing can be or may not be physical location, you can be located at a place, or can also be distributed to multiple
On unit.Some or all of unit therein can be selected according to the actual needs to realize the purpose of this embodiment scheme.
In addition, each functional unit in each embodiment of the invention can be integrated in a processing unit, it is also possible to
It is that unit is individually physically present, it is also possible to which two or more units are integrated in a unit.Above-mentioned integrated list
Unit both can be realized in the form of hardware, it would however also be possible to employ the form of SFU software functional unit is realized.
If the integrated unit is realized and as independent production marketing or use using in the form of SFU software functional unit
When, can be stored in a computer read/write memory medium.Such understanding is based on, technical scheme is substantially
The part that in other words prior art is contributed or all or part of the technical scheme can be in the form of software products
Embody, the computer software product is stored in a storage medium, use so that a computer including some instructions
Equipment (can be personal computer, server or network equipment etc.) execute the whole of each embodiment methods described of the invention or
Part steps.And aforesaid storage medium includes：USB flash disk, read only memory (ROM, Read-Only Memory), random access memory are deposited
Reservoir (RAM, Random Access Memory), portable hard drive, magnetic disc or CD etc. are various can be with store program codes
Medium.
The above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (10)
1. a kind of vehicle trouble method for early warning, it is characterised in that include：
The current travelling data of vehicle is obtained, wherein, the travelling data includes the variate-value of at least one parameter；
Travelling data current for the vehicle is entered with the normal driving numerical value area and abnormal running numerical value area of the vehicle respectively
Row is compared, and determines the numerical value area belonging to the travelling data；
When the travelling data falls into the abnormal running numerical value area, corresponding early warning information is generated.
2. method according to claim 1, it is characterised in that by travelling data current for the vehicle respectively with described
Before the normal driving numerical value area and abnormal running numerical value area of vehicle compare, methods described also includes：Set up the vehicle
Normal driving numerical value area and the abnormal running numerical value area.
3. method according to claim 2, it is characterised in that the normal driving numerical value area for setting up the vehicle includes：
By drive recorder, the history travelling data in the first preset period of time of the vehicle is obtained；
The history travelling data according to the vehicle creates at least one parametric variable chained list, wherein, the parametric variable
Chained list includes：The name variable of parameter and each parameter are in not corresponding variate-value in the same time；
The variate-value of each parameter in the parametric variable chained list is processed, the corresponding numerical value model of parametric variable is obtained
Enclose；
Each parametric variable in the parametric variable chained list is stored in the form of marking code together with corresponding numerical range
Normal driving numerical value area in the vehicle.
4. method according to claim 3, it is characterised in that the history travelling data according to the vehicle create to
A few parametric variable chained list, including：
At predefined intervals the time, the variate-value of primary parameter is read from the history travelling data；
If detect the presence of fault message in the time range residing for the value moment, institute after delay scheduled time, is again read off
State the variate-value of parameter；
Collect the variate-value of at least one parameter for reading, obtain the parametric variable chained list.
5. method according to claim 4, it is characterised in that if detecting the time range internal memory residing for the value moment
In fault message, then the variate-value of the parameter is again read off after delay scheduled time, including：
Before and after Selecting time in Preset Time, judge that the vehicle whether there is failure；
If there is no the failure, the variable of each parameter in history travelling data described in direct access in the vehicle
Value；
If the vehicle has the failure, this Selecting time is delayed the scheduled time, then from history driving number
According to the middle variate-value for reading each parameter.
6. method according to claim 3, it is characterised in that by each parametric variable in the parametric variable chained list
Numerical value is processed, and obtaining the corresponding numerical range of parametric variable includes：
The variate-value of each parameter in the parametric variable chained list is ranked up；
The variate-value of the parameter in precalculated position in the parametric variable chained list is deleted, initial results are obtained；
According to the maximum variate-value in the initial results and minimum variate-value, the corresponding numerical value model of the parametric variable is obtained
Enclose.
7. method according to claim 2, it is characterised in that the abnormal running numerical value area for setting up the vehicle includes：
The fault data of the vehicle is obtained, wherein, the fault data at least includes：Failure title, the time of origin of failure；
Failure chained list collection is created according to the fault data, wherein, the failure chained list collection includes：Failure title and each failure
Corresponding chained list, the chained list is corresponding to each parametric variable in the travelling data；
The data processing in each chained list is concentrated to the failure chained list, obtains the number of each failure each parametric variable corresponding
Value scope；
By the numerical range of each parametric variable corresponding for each failure described and each parametric variable in normal driving numerical value area
Numerical range compare, obtain the corresponding marking code of off-limits parametric variable；
The code of the failure and the corresponding at least one anomaly parameter variant code of the failure are identified described in being stored in
The abnormal running numerical value area of vehicle.
8. method according to claim 7, it is characterised in that creating failure chained list collection according to the fault data includes：
According to the time that the failure occurs, time of origin institute of the vehicle in failure is searched in the history travelling data
Position；
In the Preset Time before the time of origin of the failure, the interval Preset Time extraction failure is corresponding every successively
The variate-value of individual parameter；
According to the variate-value of corresponding at least one parameter of the failure that extracts, the failure chained list collection is created.
9. method according to claim 7, it is characterised in that the failure chained list is concentrated at the data in each chained list
Reason, obtains the numerical range of each failure each parametric variable corresponding, including：
The failure chained list is concentrated the data sorting in each chained list, the failure each parametric variable corresponding is obtained most
Big value and minima；
According to maximum and the minima of the failure each parametric variable corresponding, each failure each parameter corresponding is obtained
The numerical range of variable.
10. a kind of vehicle trouble prior-warning device, it is characterised in that include：
Acquisition module, current for the obtaining vehicle travelling data, wherein, the travelling data includes the change of at least one parameter
Value；
Determining module, for normal driving numerical value area and exception by travelling data current for the vehicle respectively with the vehicle
Driving numerical value area compares, and determines the numerical value area belonging to the travelling data；
Output module, for falling into the abnormal running numerical value area when the travelling data, generates corresponding early warning information.
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| CN106990773A (en) * | 2017-03-30 | 2017-07-28 | 深圳市元征科技股份有限公司 | vehicle remote diagnosis method, cloud server and system |
| CN108053515A (en) * | 2017-11-30 | 2018-05-18 | 北京新能源汽车股份有限公司 | Data acquisition method and device for electric automobile |
| CN108896299A (en) * | 2018-05-25 | 2018-11-27 | 中车青岛四方机车车辆股份有限公司 | A kind of gearbox fault detection method |
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| CN112130487A (en) * | 2020-09-02 | 2020-12-25 | 珠海格力电器股份有限公司 | Equipment fault early warning method and device |
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