CN107992972A - A kind of vehicle motor data reasonability filter method - Google Patents
A kind of vehicle motor data reasonability filter method Download PDFInfo
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- CN107992972A CN107992972A CN201711278572.6A CN201711278572A CN107992972A CN 107992972 A CN107992972 A CN 107992972A CN 201711278572 A CN201711278572 A CN 201711278572A CN 107992972 A CN107992972 A CN 107992972A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a kind of vehicle motor data reasonability filter method, which includes amplitude limit averaging method, with reference to other data predication methods, Kalman filtering method and data smoothing patching.The present invention can effectively overcome the impulse disturbances caused by accidentalia by amplitude limit averaging method, and multiple repairing weld is asked for averagely can effectively suppressing the error read；Secondly, the numerical value of rationally true science can be extrapolated according to current vehicle operating status with reference to other data predication methods, and is that reasonable according to having good grounds vehicle data can be made more perfect；Again, Kalman filtering method is a series of state that from data there are measurement noise, can estimate dynamical system；Finally, data smoothing patching can repair invalid data so that the close most true rational state of data reported.
Description
Technical field
The present invention relates to car networking technology field, is specially a kind of vehicle motor data reasonability filter method.
Background technology
Car networking is the huge Internet by information structures such as vehicle location, speed and routes.Pass through GPS, RFID, biography
Device, the vehicles such as sensor, camera image processing can complete the collection of itself environment and status information；Pass through internet skill
Art, all vehicles can be by the various information Transmission Convergences of itself to central processing unit；By computer technology, these are a large amount of
The information of vehicle can be analyzed and processed, so as to calculate the best route of different vehicle, report without delay road conditions and arrange letter
The signal lamp cycle.Current car networking System Development mainly by sensor technology, Radio Transmission Technology, mass data processing technology,
Data Integration complements each other to coordinate and realizes.The future of car networking system, it will face that systemic-function is integrated, data magnanimity
Change, high transfer rate.Car-mounted terminal integrates vehicle instrument desk electronic equipment, and such as hard disk plays, radio, and data acquisition also can
Face multi-channel video output to require, therefore transmission for image data is, it is necessary to extensive utilization popular 3G network now.In enterprise
In eye, car networking market perhaps only means that the business opportunity to roll in.But for more macroscopical aspect, the meaning of car networking bigger
Justice is to make intelligent transportation, and benefit the society the common people.
The concrete application of car networking mainly includes：By anti-collision warning, electronic guide board, traffic lights alert, online vehicle is examined
Disconnected, road is wet and slippery to be detected as driver and provides warning immediately, improves the security of driving, is added one for the personal safety of the common people more and is protected again
Barrier；By urban traffic control, traffic congestion detection, path planning, highway toll, public transport management, improve going out for people
Line efficiency, gives a favor to alleviate traffic congestion；The amusements such as dining room, share-car, social networks and life information are provided for people, is carried
The convenience of high people's life and recreational.
In technological layer, car networking needs to obtain various information by various sensors first, and automotive electronics is car networking
Various automobile sensors and actuator in the basis being achieved, particularly automotive electronics etc., they are to promote automotive electronics
Change, automation, one of the key technology of intelligent development, the accuracy of sensing data, directly affects whole car networking item
Purpose success or failure, since the quality of sensor differs, cause Some vehicles engine data to be doped into and carry out abnormal data, at present city
Effective reasonability filter method is not taken in the collection to engine data on face, causes vehicle motor error in data data
Also directly reported as truthful data.
The content of the invention
It is an object of the invention to provide a kind of vehicle motor data reasonability filter method, to solve above-mentioned background skill
The problem of being proposed in art.
To achieve the above object, the present invention provides following technical solution：A kind of vehicle motor data reasonability filtering side
Method, including amplitude limit averaging method, with reference to other data predication methods, Kalman filtering method and data smoothing patching.
Preferably, amplitude limit averaging method：Amplitude limit averaging method is to set reasonable data section, and the data beyond section are directly given up
Abandon, and continuous sampling is carried out to reasonable data, sampled value is subjected to addition averaged；
With reference to other data predication methods：It is the judgement combination GPS velocity to car speed with reference to other data predication methods, hair
Motivation rotating speed and braking state judge whether currency is reasonable value；
Kalman filtering method：Kalman filtering method is that one kind utilizes linear system state equation, passes through system input and output
Data are observed, the algorithm of optimal estimation is carried out to system mode；
Data smoothing patching：Data smoothing patching is to be cached data, guesses invalid number according to valid data
According to value, data are smoothly repaired.
Compared with prior art, the beneficial effects of the invention are as follows：Reasonability filter method provided by the invention includes amplitude limit
Averaging method, with reference to other data predication methods, Kalman filtering method and data smoothing patching.The present invention passes through amplitude limit averaging method energy
Effectively overcome the impulse disturbances caused by accidentalia, and multiple repairing weld is asked for averagely can effectively suppressing the error read；
Secondly, the numerical value of rationally true science can be extrapolated according to current vehicle operating status with reference to other data predication methods, and
It is that reasonable according to having good grounds vehicle data can be made more perfect；Again, Kalman filtering method be can there are measurement to make an uproar from a series of
In the data of sound, the state of dynamical system is estimated；Finally, data smoothing patching can repair invalid data so that
The close most true rational state of data reported.
Embodiment
The technical solution in the embodiment of the present invention is clearly and completely described below, it is clear that described embodiment
Only part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, the common skill in this area
Art personnel all other embodiments obtained without making creative work, belong to the model that the present invention protects
Enclose.
The present invention provides following technical solution：A kind of vehicle motor data reasonability filter method, including amplitude limit average
Method, with reference to other data predication methods, Kalman filtering method and data smoothing patching.
Wherein, amplitude limit averaging method：Amplitude limit averaging method is to set reasonable data section, and the data beyond section are directly given up
Abandon, and continuous sampling is carried out to reasonable data, sampled value is subjected to addition averaged；
With reference to other data predication methods：It is the judgement combination GPS velocity to car speed with reference to other data predication methods, hair
Motivation rotating speed and braking state judge whether currency is reasonable value；
Kalman filtering method：Kalman filtering method is that one kind utilizes linear system state equation, passes through system input and output
Data are observed, the algorithm of optimal estimation is carried out to system mode；
Data smoothing patching：Data smoothing patching is to be cached data, guesses invalid number according to valid data
According to value, data are smoothly repaired.
Reasonability filter method provided by the invention includes amplitude limit averaging method, is filtered with reference to other data predication methods, Kalman
Ripple method and data smoothing patching.The present invention can effectively overcome the impulse disturbances caused by accidentalia by amplitude limit averaging method,
And multiple repairing weld is asked for averagely can effectively suppressing the error read；Secondly, with reference to other data predication methods can according to work as
Vehicle in front operating status extrapolates the numerical value of rationally true science, and is that reasonable according to having good grounds vehicle data can be made completeer
It is beautiful；Again, Kalman filtering method is a series of state that from data there are measurement noise, can estimate dynamical system；Most
Afterwards, data smoothing patching can repair invalid data so that the close most true rational state of data reported.
Although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
Understanding without departing from the principles and spirit of the present invention can carry out these embodiments a variety of changes, modification, replace
And modification, the scope of the present invention is defined by the appended.
Claims (2)
- A kind of 1. vehicle motor data reasonability filter method, it is characterised in that：Including amplitude limit averaging method, with reference to other data Predication method, Kalman filtering method and data smoothing patching.
- A kind of 2. vehicle motor data reasonability filter method according to claim 1, it is characterised in that：Amplitude limit averaging method：Amplitude limit averaging method is to set reasonable data section, and the data beyond section are directly given up, and pairing Manage data and carry out continuous sampling, sampled value is subjected to addition averaged；With reference to other data predication methods：It is the judgement combination GPS velocity to car speed with reference to other data predication methods, engine Rotating speed and braking state judge whether currency is reasonable value；Kalman filtering method：Kalman filtering method is that one kind utilizes linear system state equation, is observed by system input and output Data, carry out system mode the algorithm of optimal estimation；Data smoothing patching：Data smoothing patching is to be cached data, guesses invalid data according to valid data Value, smoothly repairs data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711278572.6A CN107992972A (en) | 2017-12-06 | 2017-12-06 | A kind of vehicle motor data reasonability filter method |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711278572.6A CN107992972A (en) | 2017-12-06 | 2017-12-06 | A kind of vehicle motor data reasonability filter method |
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| Publication Number | Publication Date |
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| CN107992972A true CN107992972A (en) | 2018-05-04 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110163991A (en) * | 2019-05-14 | 2019-08-23 | 吉旗（成都）科技有限公司 | Vehicle host speed and slave speed proofreading method and device based on Internet of Things |
-
2017
- 2017-12-06 CN CN201711278572.6A patent/CN107992972A/en not_active Withdrawn
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110163991A (en) * | 2019-05-14 | 2019-08-23 | 吉旗（成都）科技有限公司 | Vehicle host speed and slave speed proofreading method and device based on Internet of Things |
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Application publication date: 20180504 |
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