CN104392005A - Automobile rapid loss setting method - Google Patents
Automobile rapid loss setting method Download PDFInfo
- Publication number
- CN104392005A CN104392005A CN201410783758.7A CN201410783758A CN104392005A CN 104392005 A CN104392005 A CN 104392005A CN 201410783758 A CN201410783758 A CN 201410783758A CN 104392005 A CN104392005 A CN 104392005A
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- China
- Prior art keywords
- parts machinery
- auto parts
- accessory
- automobile
- auto
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2453—Query optimisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
Abstract
The invention discloses an automobile rapid loss setting method. Compared with the traditional loss setting method, the automobile rapid loss setting method has the differences that information related to damaged automobile parts, is not searched from a large database firstly, but the automobile parts are made into a two-dimensional code directory list; when loss setting is carried out, a corresponding two-dimensional code is searched from the two-dimensional code directory list according to the automobile part required to be subjected to loss setting, then information related to the automobile part, is searched from databases of automobile parts and maintenance man-hours, such as original factory name, original factory number and price, and finally, the automobile loss condition is determined.
Description
Technical field
The present invention relates to a kind of damage identification method, particularly relate to the quick damage identification method of a kind of automobile.
Background technology
At auto repair and insurance field, when (as caused by traffic hazard, disaster etc.) damage occurring automobile, needing to determine the damaed cordition of automobile, and then determining the maintenance amount of money or compensation pay-outs.
In determining damaed cordition, a lot of Automobile Service Factory uses maintenance depot's management system, and what most insurance company used is then loss assessment system.These systems are to the confirmation method of automobile damaed cordition: first from huge auto parts machinery and maintenance man-hours database, retrieve the information relevant to damaged auto accessory, as accessory title, accessory genuine numbering, accessory color, remarks, pricing information, again these information are processed, thus determine the damage situations of automobile.In current various different loss assessment system, the search method of auto parts machinery is mainly contained following several:
1, typing conditional information retrieval method: namely input keyword and namely retrieve relevant information from database.If car breakdown accessory is " front bumper skin ", so input " bumper " and can relevant information be retrieved.
2, part packet retrieval method: under this mode, divides retrieve data by automobile position.Such as, if " bumper face " this accessory before needing to search, then find " front bumper " subgroup by grouping " body portion ", then to find subgroup relevant accessory data from this subgroup.
3, key word point retrieval method: this method needs predefine good a collection of " key word ", these " key words " be analyze from all auto parts machinery titles abstract out, its occurrence frequency or usage frequency are all higher.By input " key word ", associated auto parts machinery can be retrieved fast.As, " money bumper face " this accessory be retrieved, " front " can be used to retrieve as key word.
4, crash mode descriptor index method: this method first need set different colliding parts and different impact severity.Such as the position of collision is divided into the individual position that dead ahead, dead astern, left side, right side, front left side, forward right side, left rear side, right lateral side etc. are different, impact severity is divided into slight impact, moderate impacts, severe crash.Safeguarding the corresponding relation of these information in a database in advance, according to the position of damaged auto accessory and the extent of damage, relevant information can be retrieved when carrying out setting loss.
5, graphical dots selects descriptor index method: whole automobile dismounting is become many pictures to represent, then auto parts machinery data is mapped on auto graph with the form of picture focus.When needs inquiry damaged auto accessory, relevant information can be inquired from picture intuitively.
During with above several search method retrieval damaged auto accessory, due to system reason, inevitably retrieve a lot of unwanted data, such as when only needing to determine the extent of damage of the impaired accessory of automobile without the need to determining maintenance price time, often retrieve pricing information.In addition, also there is following shortcomings in these search methods:
1, retrieval rate is slow: due to before retrieval damaged auto accessory, go to retrieve this accessory from huge database, and primary retrieval may need the 5 second time of cost even longer, and work efficiency is not high.
2, retrieval accuracy is low: such as when needs inquiry " front bumper skin " this accessory, except typing conditional information retrieval method can comparatively exact matching out except, its search method all can retrieve a lot of irrelevant data.
3, hardware resource requirements is high: owing to can retrieve the gibberish of more than 3 times during retrieval, therefore causes server stress to become large.
4, poor mobility: these search methods, when using on the mobile apparatus, operation easier is larger.
Summary of the invention
For the deficiencies in the prior art, the invention provides the quick damage identification method of a kind of automobile, this damage identification method is to the difference of traditional damage identification method: be not first from large database concept, retrieve the information relevant with damaged auto accessory, but auto parts machinery is made Quick Response Code catalogue listing, when carrying out setting loss, the auto parts machinery of setting loss retrieves Quick Response Code corresponding with it from Quick Response Code catalogue listing as required, and then associated information is retrieved from auto parts machinery and maintenance man-hours database, as genuine title, genuine is numbered, price etc., final realization is to the determination of automobile damaed cordition.
Specifically comprise the steps:
The first step, creates an auto parts machinery standard scale, and this table is divided into groups by accessory, accessory is encoded, accessory name field forms;
Second step, carries out code according to the accessory coding in standard scale and accessory title to auto parts machinery information, makes auto parts machinery Quick Response Code catalogue listing;
3rd step, the auto parts machinery of setting loss as required retrieves Quick Response Code corresponding with it from Quick Response Code catalogue listing, and scanning is to obtain accessory information;
4th step, matches the details of damaged auto accessory from auto parts machinery and maintenance man-hours large database concept by matching algorithm;
5th step, the damaed cordition of details to auto parts machinery according to damaged auto accessory is determined.
The advantage of this reality invention is:
1, retrieval rate is fast, accuracy is high: because the present invention uses planar bar code technology, directly sweeps and buy Quick Response Code catalogue during typing, and when finally needing price, just unification carries out prices match from system service.Thus substantially increase production efficiency, namely without the need to retrieving from large data, selecting (speed is fast); Also without the need to inquiring about useless data (accuracy is high).
2, hardware resource requirements reduces: because calculated amount decreases, therefore to the consumption also corresponding minimizing of hardware.
3, movability is very strong: because Quick Response Code directly can scan reading on the mobile apparatus, therefore very convenient during typing, accurate.
Accompanying drawing explanation
Fig. 1 is auto parts machinery canonical representation intention
Fig. 2 is front bumper skin Quick Response Code schematic diagram
Fig. 3 is partial automobile accessory Quick Response Code catalogue listing
Fig. 4 is automobile damage identification method process flow diagram of the present invention
Embodiment
Below in conjunction with accompanying drawing, the present invention is described in further detail.
Embodiment one
Utilize damage identification method provided by the invention, when determining automobile damaed cordition, concrete steps are as follows:
The first step, creates auto parts machinery standard scale, and standard scale comprises accessory grouping, coding and name field, and example as shown in Figure 1;
Second step, according to the auto parts machinery information database that the first step creates, code is carried out according to the coding of each auto parts machinery and title, make an auto parts machinery Quick Response Code corresponded, as front insurance leather, carry out code according to the word string of character format " 001001, money bumper face ", obtain a Quick Response Code (as shown in Figure 2).After the same method, other all higher to occurrence frequency or usage frequency at ordinary times auto parts machinery is also made Quick Response Code, and typesetting is carried out to Quick Response Code, be made into auto parts machinery Quick Response Code catalogue listing, as shown in Figure 3.Because only comprise the auto parts machinery that occurrence frequency or usage frequency are all higher at ordinary times in Quick Response Code catalogue listing, so generally only have more than 200 accessory in this catalogue listing.This catalogue listing is printed, forms papery version.
3rd step, utilize scanning device (mainly mobile phone, scanner etc.) to scan Quick Response Code catalogue, just fast searching goes out to need the auto parts machinery carrying out setting loss.
4th step, matches the detailed accessory information relevant to damaged auto accessory and pricing information by algorithmic match from auto parts machinery and maintenance man-hours large database concept.
5th step, determines according to the details of damaged auto accessory and the damaed cordition of pricing information to auto parts machinery, determines maintenance cost and insurance benefits expense etc. further.
Embodiment two
Utilize damage identification method provided by the invention, when determining automobile damaed cordition, concrete steps are as follows:
The first step, creates auto parts machinery standard scale, and definitely table comprises accessory grouping, coding and name field, and example as shown in Figure 1;
Second step, according to the auto parts machinery information database that the first step creates, code is carried out according to the coding of each auto parts machinery and title, make an auto parts machinery Quick Response Code corresponded, as front insurance leather, carry out code according to the word string of character format " 001001, money bumper face ", obtain a Quick Response Code (as shown in Figure 2).After the same method, other all higher to occurrence frequency or usage frequency at ordinary times auto parts machinery is also made Quick Response Code, and typesetting is carried out to Quick Response Code, be made into auto parts machinery Quick Response Code catalogue listing, as shown in Figure 3.Because only comprise the auto parts machinery that occurrence frequency or usage frequency are all higher at ordinary times in Quick Response Code catalogue listing, so generally only have more than 200 accessory in this catalogue listing and in electronic form exist.
3rd step, finds Quick Response Code corresponding with it according to impaired auto parts machinery from Quick Response Code catalogue listing.
4th step, matches the detailed accessory information relevant to damaged auto accessory and pricing information by algorithmic match from auto parts machinery and maintenance man-hours large database concept.
5th step, determines according to the details of damaged auto accessory and the damaed cordition of pricing information to auto parts machinery, determines maintenance cost and insurance benefits expense etc. further.
Claims (4)
1. the quick damage identification method of automobile, is characterized in that: the quick damage identification method of described automobile realizes especially by following steps:
The first step, creates an auto parts machinery standard scale, and this table forms by containing accessory grouping, accessory coding, accessory name field;
Second step, carries out code according to the accessory coding in auto parts machinery standard scale and accessory title to auto parts machinery information, makes auto parts machinery Quick Response Code catalogue listing;
3rd step, utilizes the auto parts machinery that auto parts machinery Quick Response Code record table Rapid input is impaired;
4th step, matches the details of damaged auto accessory from auto parts machinery and maintenance man-hours large database concept by matching algorithm;
5th step, the damaed cordition of details to auto parts machinery according to damaged auto accessory is determined.
2. the quick damage identification method of a kind of automobile according to claim 1, it is characterized in that: the auto parts machinery of first setting loss as required retrieves Quick Response Code corresponding with it from Quick Response Code catalogue listing, from auto parts machinery and maintenance man-hours large database concept, retrieve the details relevant to damaged auto accessory again, determine the damaed cordition of automobile.
3. the quick damage identification method of a kind of automobile according to claim 1, is characterized in that: described auto parts machinery Quick Response Code catalogue listing comprises the higher auto parts machinery Quick Response Code of occurrence frequency.
4. the quick damage identification method of a kind of automobile according to claim 1, is characterized in that: the details of described damaged auto accessory comprise maintenance price, maintenance man-hours.
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| CN201410783758.7A CN104392005A (en) | 2014-12-18 | 2014-12-18 | Automobile rapid loss setting method |
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| CN201410783758.7A CN104392005A (en) | 2014-12-18 | 2014-12-18 | Automobile rapid loss setting method |
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| CN104392005A true CN104392005A (en) | 2015-03-04 |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106447054A (en) * | 2016-10-16 | 2017-02-22 | 上海车功坊汽车服务有限公司 | Accident vehicle accessory repairing and recycling system and method |
| CN106776817A (en) * | 2016-11-25 | 2017-05-31 | 中国平安财产保险股份有限公司 | A kind of time data processing method and system of vehicle insurance intelligence setting loss platform |
| CN107153962A (en) * | 2016-03-04 | 2017-09-12 | 苏州俊峰伟业信息技术有限公司 | Vehicle maintenance Maintenance price method and system |
| CN107748893A (en) * | 2017-09-29 | 2018-03-02 | 阿里巴巴集团控股有限公司 | Lift the method, apparatus and server of car damage identification image recognition result |
| CN108038551A (en) * | 2017-11-15 | 2018-05-15 | 深圳开思时代科技有限公司 | Time data determines method, equipment and storage medium |
| CN108228886A (en) * | 2018-01-31 | 2018-06-29 | 深圳开思时代科技有限公司 | Accessory name determines method, apparatus, electronic equipment and storage medium |
| CN108960448A (en) * | 2018-07-07 | 2018-12-07 | 北京精友世纪软件技术有限公司 | A kind of maintenance system and method for the vehicle insurance accessory data based on big data |
| CN109710654A (en) * | 2018-10-17 | 2019-05-03 | 青岛腾信汽车网络科技服务有限公司 | A kind of impaired level identification method of vehicle collision |
| CN110533449A (en) * | 2019-07-08 | 2019-12-03 | 中国平安财产保险股份有限公司 | Data recommendation method, device, equipment and storage medium |
| CN110689142A (en) * | 2018-07-05 | 2020-01-14 | 蔚来汽车有限公司 | Management of database of man-hour for vehicle repair and determination of man-hour for vehicle repair |
| CN116029326A (en) * | 2023-01-05 | 2023-04-28 | 凯泰铭科技（北京）有限公司 | Method for establishing vehicle risk assessment code convenient for AI image identification |
| CN116664082A (en) * | 2023-07-26 | 2023-08-29 | 太平金融科技服务(上海)有限公司深圳分公司 | Method, device, equipment and storage medium for determining vehicle loss condition |
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107153962A (en) * | 2016-03-04 | 2017-09-12 | 苏州俊峰伟业信息技术有限公司 | Vehicle maintenance Maintenance price method and system |
| CN106447054A (en) * | 2016-10-16 | 2017-02-22 | 上海车功坊汽车服务有限公司 | Accident vehicle accessory repairing and recycling system and method |
| CN106776817A (en) * | 2016-11-25 | 2017-05-31 | 中国平安财产保险股份有限公司 | A kind of time data processing method and system of vehicle insurance intelligence setting loss platform |
| CN107748893A (en) * | 2017-09-29 | 2018-03-02 | 阿里巴巴集团控股有限公司 | Lift the method, apparatus and server of car damage identification image recognition result |
| US10713865B2 (en) | 2017-09-29 | 2020-07-14 | Alibaba Group Holding Limited | Method and apparatus for improving vehicle loss assessment image identification result, and server |
| CN108038551A (en) * | 2017-11-15 | 2018-05-15 | 深圳开思时代科技有限公司 | Time data determines method, equipment and storage medium |
| CN108228886A (en) * | 2018-01-31 | 2018-06-29 | 深圳开思时代科技有限公司 | Accessory name determines method, apparatus, electronic equipment and storage medium |
| CN110689142A (en) * | 2018-07-05 | 2020-01-14 | 蔚来汽车有限公司 | Management of database of man-hour for vehicle repair and determination of man-hour for vehicle repair |
| CN108960448A (en) * | 2018-07-07 | 2018-12-07 | 北京精友世纪软件技术有限公司 | A kind of maintenance system and method for the vehicle insurance accessory data based on big data |
| CN109710654A (en) * | 2018-10-17 | 2019-05-03 | 青岛腾信汽车网络科技服务有限公司 | A kind of impaired level identification method of vehicle collision |
| CN110533449A (en) * | 2019-07-08 | 2019-12-03 | 中国平安财产保险股份有限公司 | Data recommendation method, device, equipment and storage medium |
| CN116029326A (en) * | 2023-01-05 | 2023-04-28 | 凯泰铭科技（北京）有限公司 | Method for establishing vehicle risk assessment code convenient for AI image identification |
| CN116664082A (en) * | 2023-07-26 | 2023-08-29 | 太平金融科技服务(上海)有限公司深圳分公司 | Method, device, equipment and storage medium for determining vehicle loss condition |
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Application publication date: 20150304 |