CN100511040C - Self-learning judging method of automobile decoder - Google Patents
Self-learning judging method of automobile decoder Download PDFInfo
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- CN100511040C CN100511040C CNB2006100890795A CN200610089079A CN100511040C CN 100511040 C CN100511040 C CN 100511040C CN B2006100890795 A CNB2006100890795 A CN B2006100890795A CN 200610089079 A CN200610089079 A CN 200610089079A CN 100511040 C CN100511040 C CN 100511040C
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Abstract
The invention relates to a self learning and judging method for vehicle decoder that includes the following steps: gaining the running state of the vehicle testing system and decoding to generate tested data of vehicle running state; comparing to standard database, when the standard data is larger, using the tested data to take place of the maximum value, if smaller, using tested data to take place of minimum value, if there is no corresponding data, using the tested data as the maximum and the minimum value of the standard value; automatically calling out the maximum and minimum data of the vehicle in testing process to judge whether the tested data is abnormal. The invention could be used to diagnose different models of car, and improve working efficiency.
Description
Technical field
The present invention relates to a kind of self study determination methods of automobile decoder.
Background technology
Automobile decoder is gathered automobile electric control system and other detection systems (are commonly referred to as detection system, travel condition of vehicle code down together), generate the travel condition of vehicle data by decoding, these data are compared with corresponding standard data in the travel condition of vehicle standard database (data area under the normal condition), just can judge vehicle and whether move normal and concrete fault, under prior art, data in the travel condition of vehicle standard database of automobile decoder prestore, can not change after depositing in, perhaps can only change by the mode of artificial input, because the form of vehicle is constantly to change, the running status normal data of various different vehicle is different, the database that the employing mode of prestoring is set up, specific vehicle in the time of can only being adapted to pre-deposit data, therefore its usable range is very restricted, and a kind of demoder of vehicle can not be used for another kind of vehicle.
Summary of the invention
For overcoming the above-mentioned defective of prior art, the invention provides a kind of self study determination methods of automobile decoder, adopt this method demoder can learn travel condition of vehicle normal data with store car automatically, set up and modification travel condition of vehicle standard database, to be adapted to various different automobile types.
The present invention realizes that the technical scheme of above-mentioned purpose is:
A kind of self study determination methods of automobile decoder comprises the following steps:
(1) demoder is communicated by letter with the detection system of normal vehicle by its communication interface, obtains the travel condition of vehicle code that detection system is gathered, and decodes, and generates the measured data of travel condition of vehicle;
(2) measured data of travel condition of vehicle maximal value and the minimum value with travel condition of vehicle standard database and travel condition of vehicle normal data compared, when measured data greater than database in during the maximal value of normal data, with the normal data maximal value in measured data alternate data storehouse;
When measured data less than database in during the minimum value of normal data, with the normal data minimum value in measured data alternate data storehouse;
When not having the corresponding standard data in the database, measured data is saved as simultaneously the maximal value and the minimum value of normal data in the database.
Because the present invention provides self-learning function for the vehicle demoder, when in database, not having the data of corresponding vehicle, can set up corresponding database down by the running state data that detects normal vehicle, when the data imperfection in the database, can revise corresponding database by the running state data that detects normal vehicle, the scope of extension standards data makes the vehicle demoder be adapted to various different automobile types thus, and makes the foundation of database become more easy.
Description of drawings
Accompanying drawing is a simple and easy process flow diagram of the present invention.
Embodiment
Referring to accompanying drawing, method provided by the invention comprises the following steps:
(1) demoder is communicated by letter with the detection system of normal vehicle by its communication interface, obtains the travel condition of vehicle code that detection system is gathered, and decodes, and generates the measured data of travel condition of vehicle;
(2) measured data of travel condition of vehicle maximal value and the minimum value with the travel condition of vehicle normal data of travel condition of vehicle standard database compared, when measured data greater than database in during the maximal value XH of normal data, with the normal data maximal value in measured data alternate data storehouse;
When measured data less than database in during the minimum value XL of normal data, with the normal data minimum value in measured data alternate data storehouse;
When not having the corresponding standard data in the database, measured data is saved as simultaneously the maximal value and the minimum value of normal data in the database.
Comprise vehicle code, running state parameter code and running state data in the described travel condition of vehicle measured data, can distinguish different vehicles, different running state parameter and the concrete numerical value (running state data) of running state parameter thus.
The running state parameter normal data of described database storing is the maximal value and the minimum value of this parameter under the vehicle normal operating condition.
Described database is set up corresponding word bank according to different automobile types.
Described demoder can adopt interrupt mode with the communication mode of vehicle detecting system, data stream (vehicle operating parameters) is browsed study and is adopted polling mode, the instruction of in turn each detection system of vehicle being sent image data according to the program of setting by demoder, the instruction of corresponding detecting system respective decoder is delivered to decoder decode with coded message.
Described vehicle detecting system can comprise the various systems that can provide travel condition of vehicle information such as engine speed detection system, Vehicle Speed detection system, anti-lock braking system, traction control system, four-wheel steering system, Study on Vehicle Dynamic Control system, tire inflation pressure determining system.Each system provides different travel condition of vehicle parameters, so that react travel condition of vehicle all-sidedly and accurately.
The vehicle discriminating that is used for collection vehicle running status normal data can be realized by artificial, can be provided with normal data collection and vehicle detection switching button on the described demoder, when this button places normal data to gather the position, the data that demoder collects are used for setting up and revising database data, when this button places the vehicle trouble detecting position, the data that demoder collects are used for comparing with the normal data of database, whether move the concrete fault of normal and vehicle to judge vehicle.
For ensureing the accuracy of data, can adopt multiple statistical method to carry out the choice of data with average, the mean value that for example can adopt effective measured data of repeatedly gathering is as the measured data that is used to judge, and can the data that deviation average is excessive be defined as invalid data, average mode can be an arithmetic mean, also can be other average modes, selected according to different parameter character.Can avoid accidental data to be credited to database like this, cause data distortion.
When measured data is compared with the normal data in the database, as survey data no longer (greater than maximal value or less than minimum value) in the scope of normal data, demoder can be presented at these data and corresponding standard data maximal value or minimum value on the display, wait for artificial input control order, artificial input instruction can be divided into employing and abandon two kinds, when receiving the employing instruction of artificial input, then this measured data is deposited in maximal value or the minimum value of database as normal data, when receive artificial input abandon instructing the time, then abandon this measured data, enter data acquisition communication next time.By this artificial intervention, can avoid depositing the data of mistake in database.
Described " greater than " and " less than ", when being illustrated in normal range, comprise " equaling "; When representing, do not comprise " equaling " not in normal range; When the normal data of replacing storage with measured value to whether is judged, do not comprise " equaling ".Also can adopt other definition according to concrete criterion.
Claims (10)
1. the self study determination methods of an automobile decoder is characterized in that comprising the following steps:
(1) demoder is communicated by letter with the detection system of normal vehicle by its communication interface, obtains the travel condition of vehicle code that detection system is gathered, and decodes, and generates the measured data of travel condition of vehicle;
(2) measured data of travel condition of vehicle maximal value and the minimum value with the travel condition of vehicle normal data of travel condition of vehicle standard database compared, when measured data greater than database in during the maximal value XH of normal data, with the normal data maximal value in measured data alternate data storehouse;
When measured data less than database in during the minimum value XL of normal data, with the normal data minimum value in measured data alternate data storehouse;
When not having the corresponding standard data in the database, measured data is saved as simultaneously the maximal value and the minimum value of normal data in the database.
2. the self study determination methods of automobile decoder as claimed in claim 1, the running state parameter normal data that it is characterized in that described database storing is the maximal value and the minimum value of this parameter under the vehicle normal operating condition.
3. the self study determination methods of automobile decoder as claimed in claim 2 is characterized in that comprising vehicle code, running state parameter code and running state data in the described travel condition of vehicle measured data.
4. the self study determination methods of automobile decoder as claimed in claim 3 is characterized in that described database sets up corresponding word bank according to different automobile types.
5. as the self study determination methods of claim 1,2,3 or 4 described automobile decoders, it is characterized in that described demoder adopts interrupt mode with the communication mode of vehicle detecting system, data stream is browsed study and is adopted polling mode, the instruction of in turn each detection system of vehicle being sent image data according to the program of setting by demoder, the instruction of corresponding detecting system response demoder is delivered to decoder decode with coded message.
6. as the self study determination methods of claim 1,2,3 or 4 described automobile decoders, it is characterized in that described vehicle detecting system comprises the various systems that can provide travel condition of vehicle information such as engine speed detection system, Vehicle Speed detection system, anti-lock braking system, traction control system, four-wheel steering system, Study on Vehicle Dynamic Control system, tire inflation pressure determining system.
7. as the self study determination methods of claim 1,2,3 or 4 described automobile decoders, it is characterized in that being used for the vehicle discriminating of collection vehicle running status normal data by artificial realization.
8. the self study determination methods of automobile decoder as claimed in claim 7, it is characterized in that described demoder is provided with normal data collection and vehicle detection switching button, when this button places normal data to gather the position, the data that demoder collects are used for setting up and revising database data, when this button places the vehicle trouble detecting position, the data that demoder collects are used for comparing with the normal data of database, whether move the concrete fault of normal and vehicle to judge vehicle.
9. as the self study determination methods of claim 1,2,3 or 4 described automobile decoders, it is characterized in that adopting statistical method to carry out the choice of measured data with average, as the measured data that is used to judge, and the data that deviation average is excessive are defined as invalid data with the mean value of effective measured data of repeatedly gathering.
10. the self study determination methods of automobile decoder as claimed in claim 9, it is characterized in that when measured data is compared with the normal data in the database, as survey data not in the scope of normal data, demoder is presented at these data and corresponding standard data maximal value or minimum value on the display, wait for artificial input control order, artificial input instruction is divided into employing and abandons two kinds, when receiving the employing instruction of artificial input, then this measured data is deposited in maximal value or the minimum value of database as normal data, when receive artificial input abandon instructing the time, then abandon this measured data, enter data acquisition communication next time.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB2006100890795A CN100511040C (en) | 2006-08-02 | 2006-08-02 | Self-learning judging method of automobile decoder |
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| CNB2006100890795A CN100511040C (en) | 2006-08-02 | 2006-08-02 | Self-learning judging method of automobile decoder |
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| CN1904776A CN1904776A (en) | 2007-01-31 |
| CN100511040C true CN100511040C (en) | 2009-07-08 |
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| CNB2006100890795A Expired - Fee Related CN100511040C (en) | 2006-08-02 | 2006-08-02 | Self-learning judging method of automobile decoder |
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Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101106559B (en) * | 2007-06-22 | 2010-08-11 | 南京恩瑞特实业有限公司 | ATP-ATO debugging method based on packet parsing |
| CN102103377B (en) * | 2009-12-16 | 2013-08-21 | 财团法人工业技术研究院 | Learning and diagnosing method and system of vehicle information, and readable storage medium of arithmetic device |
| CN101984630B (en) * | 2010-11-03 | 2012-12-19 | 北京中交兴路信息科技有限公司 | Vehicle detection method based on vehicle-mounted mobile terminal |
| CN104216391B (en) * | 2013-05-31 | 2017-04-19 | 广州汽车集团股份有限公司 | Automotive type recognition method of automobile decoder |
| CN105116869B (en) * | 2015-06-30 | 2019-03-05 | 株洲时代电子技术有限公司 | Large-scale maintenance machinery electrical malfunction real-time monitoring diagnostic method |
| CN108700875A (en) * | 2018-04-25 | 2018-10-23 | 深圳市元征软件开发有限公司 | Vehicular diagnostic method, system, equipment and computer readable storage medium |
| CN109655020A (en) * | 2019-01-14 | 2019-04-19 | 北方民族大学 | One tooth footpath of gear is to comprehensive deviation and tangential comprehensive deviation detection method |
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| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: Self-learning judging method of automobile decoder Effective date of registration: 20101025 Granted publication date: 20090708 Pledgee: Zhongguancun Beijing science and technology Company limited by guarantee Pledgor: BEIJING JINBENTENG AUTO S & T CO.,LTD. Registration number: 2010990000926 |
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Date of cancellation: 20111104 Granted publication date: 20090708 Pledgee: Zhongguancun Beijing science and technology Company limited by guarantee Pledgor: BEIJING JINBENTENG AUTO S & T CO.,LTD. Registration number: 2010990000926 |
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Denomination of invention: Self-learning judging method of automobile decoder Effective date of registration: 20111123 Granted publication date: 20090708 Pledgee: Zhongguancun Beijing science and technology Company limited by guarantee Pledgor: BEIJING JINBENTENG AUTO S & T CO.,LTD. Registration number: 2011990000450 |
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Date of cancellation: 20121123 Granted publication date: 20090708 Pledgee: Zhongguancun Beijing science and technology Company limited by guarantee Pledgor: BEIJING JINBENTENG AUTO S & T CO.,LTD. Registration number: 2011990000450 |
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| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: Self-learning judging method of automobile decoder Effective date of registration: 20121123 Granted publication date: 20090708 Pledgee: Zhongguancun Beijing science and technology Company limited by guarantee Pledgor: BEIJING JINBENTENG AUTO S & T CO.,LTD. Registration number: 2012990000730 |
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