CN104050392A - Novel vehicle fault scoring method - Google Patents
Novel vehicle fault scoring method Download PDFInfo
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- CN104050392A CN104050392A CN201410318503.3A CN201410318503A CN104050392A CN 104050392 A CN104050392 A CN 104050392A CN 201410318503 A CN201410318503 A CN 201410318503A CN 104050392 A CN104050392 A CN 104050392A
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Abstract
The invention relates to a novel vehicle fault scoring method. The method comprises the steps that first, an entire vehicle is divided into a plurality of subsystems, and each subsystem is further divided into a plurality of measurable test items; then data resources, weight parameters and score correcting values are defined according to all the test items, the scores of all the test items are obtained according to an algorithm, and then the overall score of a vehicle is obtained through accumulation. According to the novel vehicle fault scoring method, description is visual, the performance is reliable, operability is high, and a vehicle owner can visually learn the serious condition of current vehicle faults through a simple score no matter whether the vehicle owner has vehicle professional knowledge or not.
Description
Technical field
The present invention relates to a kind of new vehicle fault methods of marking, belong to automobile engineering and data processing engineering field.
Background technology
In traditional vehicle, owing to being subject to cost, the restriction of the external factor such as size and installation site, vehicle can only pass through specific identifier, code or simple word provide user limited information, and user cannot fully understand the state of whole vehicle or the state of some subsystem of vehicle.Or car owner need to reach vehicle professional maintenance store, detect by professional instrument team vehicle, but result result is very complicated, general car owner cannot understand implication wherein, cannot judge the order of severity of vehicle trouble.In fact, what car owner needed is the expression mode of a simple, intuitive, understands the order of severity of vehicle trouble.
Summary of the invention
The object of the invention is to overcome above-mentioned deficiency, make car owner pass through a simple mark just can roughly to understand the order of severity of vehicle trouble.
First new vehicle fault methods of marking provided by the present invention is divided into vehicle some subsystems, includes but not limited to engine system, oil supply system, transmission system, electrical system, bodywork system, brake system, steering, suspension, tire, security system, bodywork system, lighting system.
Further each subsystem is being divided into several test items, as engine system comprises machine oil, machine filter, engine control module etc.
Each test item IS[n] raw data that can provide according to the various kinds of sensors on vehicle and testing circuit calculates, and also can calculate according to the result of hand inspection, its span is 0-100.
Each test item has a weight parameter P[n], be used for defining the relative importance of each test item.The comprehensive proportion of risk system that its numerical value accounts for all test items by the risk factor (RPN) of this test item is multiplied by 100 gained.Computing formula is P[n]=100*RPN[n]/SUM (RPN).
The risk factor of each test item, by the severity (Severity) of fault corresponding to test item and frequency (Occurrence) gained that multiplies each other.Wherein the former is used for describing the grade that causes consequence when fault occurs, and scope is 0 to 10; The latter is used for describing the probability grade that fault occurs, and scope is 0 to 10.
Each test item has a score modified value Offset[n], be used in conjunction with the different pieces of information of raw data, score being finely tuned, span is-100-100.
Finally, in calculating vehicle entirety score, first the score of each test item and weight parameter are multiplied each other, then want to add with score modified value, obtain an intermediate result, finally by cumulative the intermediate result of all test items vehicle entirety score that obtains.Computing formula is:
m
Score（cal）= ∑ （P[n]*IS[n]/100+Offset[n]）
n=1
The invention has the beneficial effects as follows significantly.The new vehicle fault methods of marking the present invention relates to, describes intuitively, dependable performance, and strong operability, no matter whether car owner have vehicle professional knowledge, can get information about the serious situation of current vehicle trouble by an one simple mark.
Brief description of the drawings
Fig. 1 is a kind of new vehicle fault detect methods of marking schematic diagram the present invention relates to.
Fig. 2 is the division form of subsystem and test item in a kind of new vehicle fault detect methods of marking the present invention relates to.
Fig. 3 is the criterion of severity and frequency in a kind of new vehicle fault detect methods of marking the present invention relates to.
Embodiment
Fig. 1 has provided the schematic diagram of a kind of new vehicle fault detection method the present invention relates to.As seen from the figure, the method is made up of following logic module.
1. vehicle subsystem is divided module, and car load is divided into some subsystems, includes but not limited to engine system, oil supply system, transmission system, electrical system, bodywork system, brake system, steering, suspension, tire, security system, bodywork system, lighting system.
2. test item is divided module, and each subsystem is divided into some test items, and concrete division is with reference to accompanying drawing 2.
3. test item score computing module, by the result of the sensor on vehicle or testing circuit or manual detection, for each test item is given a score IS[n].
4. introduce test item weight parameter P[n] and score modified value Offset[n].Weight parameter P[n] the comprehensive proportion of risk system that accounts for all test items by the risk factor (RPN) of test item is multiplied by 100 gained.Computing formula is P[n]=100*RPN[n]/SUM (RPN).The risk factor of each test item, by the severity (Severity) of fault corresponding to test item and frequency (Occurrence) gained that multiplies each other.Wherein the former is used for describing the grade that causes consequence when fault occurs, and scope is 0 to 10; The latter is used for describing the probability grade that fault occurs, and scope is 0 to 10.
5. score computing module in the middle of test item, by the score IS[n of detection module] be multiplied by weight parameter P[n], add score modified value Offset[n] obtain intermediate result.
6. vehicle entirety score computing module, cumulative by all middle scores, obtains overall score.Computing formula is:
m
Score（cal）= ∑ （P[n]*IS[n]/100+Offset[n]）
n=1
The vehicle trouble methods of marking the present invention relates to, describes intuitively, dependable performance, and strong operability, no matter whether car owner have vehicle professional knowledge, can get information about the serious situation of current vehicle trouble by an one simple mark.
Claims (6)
1. a new vehicle fault methods of marking, is characterized in that car load to be divided into some subsystems, and each subsystem again Further Division becomes some measurable test items, first calculates the score of each test item, then obtains vehicle entirety score.
2. according to the score of test item claimed in claim 1, it is characterized in that the difference according to test item, this numerical value IS[n] raw data that can provide according to the various kinds of sensors on vehicle and testing circuit calculates, also can calculate according to the result of hand inspection, its span is 0-100.
3. according to test item claimed in claim 2, it is characterized in that the corresponding weight parameter P[n of each test item] and score modified value Offset[n], the former is used for defining the relative importance of each test item, and span is 0-100; The latter finely tunes score in conjunction with the different pieces of information of raw data, and span is-100-100.
4. according to the weight parameter of each test item claimed in claim 3, it is characterized in that the comprehensive proportion of risk system that its numerical value accounts for all test items by the risk factor (RPN) of this test item is multiplied by 100 gained.Computing formula is P[n]=100*RPN[n]/SUM (RPN).
5. according to risk factor claimed in claim 3, it is characterized in that this numerical value is by the severity (Severity) of fault corresponding to test item and frequency (Occurrence) gained that multiplies each other.Wherein the former is used for describing the grade that causes consequence when fault occurs, and scope is 0 to 10; The latter is used for describing the probability grade that fault occurs, and scope is 0 to 10.
6.D is according to vehicle entirety score claimed in claim 1, it is characterized in that first the score of each test item and weight parameter being multiplied each other, want to add with score modified value again, obtain an intermediate result, finally by cumulative the intermediate result of all test items vehicle entirety score that obtains.Computing formula is:
m
Score（cal）= ∑ （P[n]*IS[n]/100+Offset[n]）
n=1 。
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410318503.3A CN104050392A (en) | 2014-07-07 | 2014-07-07 | Novel vehicle fault scoring method |
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| CN201410318503.3A CN104050392A (en) | 2014-07-07 | 2014-07-07 | Novel vehicle fault scoring method |
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| CN104050392A true CN104050392A (en) | 2014-09-17 |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104898641A (en) * | 2015-04-20 | 2015-09-09 | 东软集团股份有限公司 | Vehicle fault detection method and apparatus |
| CN106126924A (en) * | 2016-06-24 | 2016-11-16 | 北京理工大学 | A kind of comprehensive performance evaluation method of panzer piggyback pod |
| CN107490485A (en) * | 2016-11-15 | 2017-12-19 | 宝沃汽车（中国）有限公司 | Vehicle health degree detection method, device and vehicle |
| CN110135733A (en) * | 2019-05-17 | 2019-08-16 | 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 | A kind of appraisal procedure and device of power equipment operational reliability |
| CN111950238A (en) * | 2020-07-30 | 2020-11-17 | 禾多科技（北京）有限公司 | Automatic driving fault score table generation method and device and electronic equipment |
| CN112445156A (en) * | 2019-08-30 | 2021-03-05 | 北京新能源汽车股份有限公司 | Method and device for determining vehicle fault emergency degree and remote monitoring platform |
| CN112633708A (en) * | 2020-12-25 | 2021-04-09 | 同方威视科技江苏有限公司 | Mechanical equipment fault detection method, device, medium and electronic equipment |
| CN113361858A (en) * | 2021-05-10 | 2021-09-07 | 上海工程技术大学 | Vehicle state evaluation method and system based on rail transit vehicle fault data |
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104898641A (en) * | 2015-04-20 | 2015-09-09 | 东软集团股份有限公司 | Vehicle fault detection method and apparatus |
| CN104898641B (en) * | 2015-04-20 | 2017-11-03 | 东软集团股份有限公司 | A kind of vehicle fault detection method and apparatus |
| CN106126924A (en) * | 2016-06-24 | 2016-11-16 | 北京理工大学 | A kind of comprehensive performance evaluation method of panzer piggyback pod |
| CN106126924B (en) * | 2016-06-24 | 2019-03-26 | 北京理工大学 | A kind of comprehensive performance evaluation method of panzer piggyback pod |
| CN107490485A (en) * | 2016-11-15 | 2017-12-19 | 宝沃汽车（中国）有限公司 | Vehicle health degree detection method, device and vehicle |
| CN110135733A (en) * | 2019-05-17 | 2019-08-16 | 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 | A kind of appraisal procedure and device of power equipment operational reliability |
| CN112445156A (en) * | 2019-08-30 | 2021-03-05 | 北京新能源汽车股份有限公司 | Method and device for determining vehicle fault emergency degree and remote monitoring platform |
| CN111950238A (en) * | 2020-07-30 | 2020-11-17 | 禾多科技（北京）有限公司 | Automatic driving fault score table generation method and device and electronic equipment |
| CN112633708A (en) * | 2020-12-25 | 2021-04-09 | 同方威视科技江苏有限公司 | Mechanical equipment fault detection method, device, medium and electronic equipment |
| CN112633708B (en) * | 2020-12-25 | 2024-03-22 | 同方威视科技江苏有限公司 | Mechanical equipment fault detection method and device, medium and electronic equipment |
| CN113361858A (en) * | 2021-05-10 | 2021-09-07 | 上海工程技术大学 | Vehicle state evaluation method and system based on rail transit vehicle fault data |
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Application publication date: 20140917 |