CN106127650A - Motor vehicles scraps judgment means and method - Google Patents

Abstract

Judgment means scrapped by motor vehicles of the present invention and method includes keeping in repair estimator module, and it is used for exporting vehicle maintenance expense valuation N；Appraisal output module, its for according to be matched with the first data base the first valuation a, be matched with the second data base valuation coefficient b output export the second valuation c:a × b=c as follows；Rejection judgment module, when vehicle maintenance expense valuation N is more than the second valuation c, then exports rejection signal.By relatively above-mentioned value, the present invention can clearly inform whether user should scrap.

Description

Motor vehicles scraps judgment means and method

Technical field

The present invention relates to a kind of information of vehicles processing means, particularly relate to a kind of device for judging vehicle scrapping and Method.

Background technology

By Chinese automobile Rejection standard, belong to should scrapping of one of following situations:

1. light, midget truck (containing cross-country type) and accumulative 300,000 kms that travel of mine operation special-purpose vehicle, weight, medium-sized load Accumulative 400,000 kms that travel of goods automobile (containing cross-country type), especially big, big, neutralize light, microbus (containing cross-country type) and car adds up Travelling 500,000 kms, other vehicles are accumulative travels 450,000 kms；

The most all kinds of taxis use 8 years；Gently, midget truck (containing cross-country type) and band are pulled vapor laden year, ore deposit Operation special-purpose vehicle in mountain uses 8 years, it is allowed to handles no longer than 4 years and delays to scrap, and delays period annual inspection 2 times；Other Use 10 years, it is allowed to handle no longer than 5 years and delay to scrap, delay period annual inspection 2 times；It is engaged in each of operation property transport Planting passenger vehicle service life is 10 years, it is allowed to delay within 4 years, scrap, and delays period annual inspection 4 times (inspection in every 3 months is once)；Examine Consider the development to family saloon, 15 are used for 9 (containing 9) the most non-operation passenger car (including car, containing cross-country type) Year, tourism passenger car and more than 9 non-operation passenger cars use 10 years, and above-mentioned vehicle needs to continue to make after reaching to scrap the time limit , it is necessary to carry out close inspection according to state motor vehicle safety, pollutant emission pertinent regulations, can extend after inspection rationally and make With the time limit, but tourism passenger car and more than 9 non-operation passenger cars can extend service life and be no longer than 10 years, prolongation Increasing amount of testing by regulation during being used in conjunction, in a round of visits, continuous three disqualified upon inspections should scrap.

3. cause vehicle badly damaged because of a variety of causes or technology status is inferior cannot repair；

4. vehicle is eliminated, without accessory source；

5. automobile is by long-term use, and fuel consumption exceedes country's sizing car factory calibration setting 15%；

6. country is not still reached to motor vehicles safe and technical specification requirement through repairing and adjustment；

7., after repairing and adjust or using exhaust pollution control technology, discharge pollutants the automobile still above national regulation Discharge standard.

But, nowadays, due to prevailing of used automobile market, and the transparence of used automobile market transaction.And considering During to zero whole ratio, maintenance cost, the current value of vehicle, the most reasonably protect becoming currently by car interests of user The problem needing solution badly.

Summary of the invention

The technical problem to be solved in the present invention be to provide a kind of simple in construction, low cost, easy and simple to handle, rationally inform user Judgment means scrapped by the motor vehicles whether scrapped.

Judgment means scrapped by motor vehicles of the present invention, and including maintenance estimator module, it is used for exporting vehicle maintenance expense valuation N； Appraisal output module, it is for according to being matched with the first valuation a of the first data base, being matched with the valuation coefficient of the second data base B output exports the second valuation c:a × b=c as follows；

Rejection judgment module, when vehicle maintenance expense valuation N is more than the second valuation c, then exports rejection signal.

One motor vehicles scrap judging method of the present invention, comprises the steps:

Output vehicle maintenance expense valuation N；

According to being matched with the first valuation a of the first data base, being matched with the valuation coefficient b output of the second data base by as follows Formula exports the second valuation c:

A × b=c；

When vehicle maintenance expense valuation N is more than the second valuation c, then export rejection signal.

One motor vehicles scrap judging method of the present invention, comprises the steps:

Output vehicle maintenance expense valuation N；According to being matched with the first valuation a of the first data base, being matched with the second data base Valuation coefficient b output export the second valuation c:a × b=c as follows；When vehicle maintenance expense valuation N is more than the second valuation c Time, then export rejection signal.

Motor vehicles of the present invention is scrapped judgment means difference from prior art and is that judgement dress scrapped by motor vehicles of the present invention Put and can more reasonably provide the user valuation scheme by above-mentioned decision method, i.e. a chassis travels Audi's valuation 150,000 in 5 years； Accident for the first time occur, keep in repair the amount of money 30,000, now valuation such as three grade of nine grade is 120,000, and the maintenance amount of money is less than valuation；Second time occurs Accident, the maintenance amount of money is 100,000, and now valuation such as three grade of nine grade is 80,000, then the maintenance amount of money is more than valuation, then vehicle reaches to scrap mark Accurate.Therefore, the present invention is by comparing the existing valuation of maintenance cost and this vehicle, thus whether this is repaiied also rationally to inform user It is that this is scrapped, makes user more accurately judge.

Motor vehicles to the present invention is scrapped judgment means and is described further below in conjunction with the accompanying drawings.

Accompanying drawing explanation

Fig. 1 is the structural representation that judgment means scrapped by motor vehicles.

Detailed description of the invention

Include as it is shown in figure 1, judgment means scrapped by motor vehicles of the present invention

Maintenance estimator module, it is used for exporting vehicle maintenance expense valuation N；

Appraisal output module, it is for according to being matched with the first valuation a of the first data base, being matched with the second data base's Valuation coefficient b exports and exports the second valuation c as follows:

A × b=c；

Rejection judgment module, when vehicle maintenance expense valuation N is more than the second valuation c, then exports rejection signal.

The present invention can more reasonably provide the user valuation scheme by above-mentioned decision method, i.e. a chassis travels 5 years Austria Enlightening valuation 150,000；Accident for the first time occur, keep in repair the amount of money 30,000, now valuation such as three grade of nine grade is 120,000, and the maintenance amount of money is less than estimating Value；Second time accident occur, the maintenance amount of money is 100,000, and now valuation such as three grade of nine grade is 80,000, then the maintenance amount of money is more than valuation, then Vehicle reaches Rejection standard.Therefore, the present invention is by comparing the existing valuation of maintenance cost and this vehicle, thus rationally informs This repaiies user or this is scrapped, and makes user more accurately judge.

Wherein,

Present invention additionally comprises

First data input module, it is for input the first data, and described first data include following a kind of data or many Plant data to combine:

Vehicle VIN, brand belong to, purchase car date, current driving mileage, new car price, automobile brand, car money, vehicle；

First data processing module, it is for the first valuation a according to first data base's output with the first Data Matching；

Second data input module, it is for input the second data, and described second data include following a kind of data or many Plant data to combine:

Month sales volume, the first five years value preserving rate, C-NCAP safety coefficient, mortality rate ranking, fault rate, color, service life, Year use mileage, successive car owner's number, vehicle character, whether be under warranty, insure the most continuously, maintenance record, maintenance time Record, detection scoring, accident escape record, fake-licensed car record, robber recall in number, claim frequencies, the insurance claim amount of money, producer Rob car record, mortgage labelling record；

Second data processing module, it is for the valuation coefficient b according to second data base's output with the second Data Matching；

Wherein, the valuation coefficient b of the second data base is divided into three grades, and every grade is divided into third, and totally nine etc., described data process mould Block output the valuation coefficient that valuation coefficient b is the minimum first-class corresponding with the second data, appraisal output module according to described in estimate Value coefficient b exports corresponding X level and Y etc..

Such as, appraisal output module, according to when b is 100%, exports the X=2, Y=4 corresponding with b, i.e. appraisal output When module is 100% according to b, export two grades or two grades-in, the fourth class.

Wherein, the first data input module resolves the brand ownership of its vehicle, automobile brand, car also dependent on vehicle VIN Money, vehicle, new car price；It is manually entered again and purchases car date, current driving mileage.

Wherein,

Brand ownership can be divided into: system of Japan and Korea S, American-European system, domestic system；

Purchasing the car date is: year, month, day；

Currently exercise mileage: data mode milimeter number；

New car price can be: purchases car guiding price；

Automobile brand: such as Audi；

Car money: such as A6L；

Vehicle: such as 2016 sections A6L are luxury；

Month sales volume is: this vehicle moon sales volume when purchasing car；

The first five years value preserving rate: " the Chinese automobile value preserving rate of each year issued according to Chinese automobile value preserving rate research committee Report " in the value preserving rate of the first five years of corresponding vehicle or other third party's value preserving rates report of public's accreditation；C-NCAP pacifies Overall coefficient: China-New CarAssessment Program (China's new car assessment routine) requires a kind of vehicle is carried out car Speed 50km/h with rigidly fix the head-on crash of obstacle 100% Duplication, car speed 64km/h to deformable obstacle The Frontal offset impact of 40% Duplication, deformable move three kinds of collision examinations such as the obstacle speed 50km/h side collision with vehicle Test, calculate every test score and total score according to test data, total score how much determine star.

Mortality rate ranking is: the mortality rate row of the vehicle that IIHS (IIHS) issues every year Name.

Fault rate: the fault rate report that Germany technology inspection association (T ü V) is issued every year, or U.S.'s J.D.Power automobile The fault rate that research company issues every year is reported and other third party's publicity dependent failure rates report both at home and abroad.

Color: whether be the leading color of this vehicle, poster colour, or personalization, representative other color.

Service life: in units of year.

Use mileage: the milimeter number of the enforcement that vehicle is annual, too high, too low the most bad.

Successive car owner's number: often drive the number of this vehicle, and the number of the buyer after the transaction of this vehicle.

Vehicle character: be divided into home vehicle, officer's car, commercial vehicle.

Whether it is under warranty: in whether during such as 3 years of producer's quality guarantee or the guarantee of 100,000 kilometers.

Insure the most continuous: if discontinuous, then need to list the number of times just insured beyond insurance period.

Maintenance record: whether time-based maintenance, if not time-based maintenance, then display beyond time of maintenance prompt and lacks guarantor The number of times supported.

Maintenance frequency: the number of times of maintenance and the situation of the vehicle in front of maintenance.

Claim frequencies: insurance company is in danger and compensates the number of times of this vehicle and other people vehicle.

The insurance claim amount of money: insurance company be in danger reparation the amount of money.

Record is recalled by producer: be divided into without recalling record, non-powered core component is recalled, power core parts are recalled.

Detection scoring: China third party testing agency Yi Chache scoring, its examination scope include Static Detection (vehicle body, Car light, interior trim, cabin, waist, chassis, boot, driving cabin) and dynamically detection (starting and road examination), detect whether as burning Car, blister car and major accident car, each is divided into some tiny item check and evaluation to give a mark (the highest vehicle condition of score value is the best).

Accident escape record: whether occurred that accident was escaped.

Fake-licensed car record: whether the record of deck occurred.

Robber robs car record: the stolen record robbed whether occurred.

Mortgage labelling record: whether the record of mortgaged occurred.

Wherein, the data content of the second data base can be found in following form:

Table 1 table 2

Table 3 table 4

Type	Grade	Valuation coefficient
			One-level-good	First-class	1.1
One-level-good	Second-class	1.05-1.1
			One-level-good	Third	1-1.05
Two grades-in	The fourth class	1
			Two grades-in	Five etc.	0.95-1
Two grades-in	Six etc.	0.9-0.95
			Three grades-poor	Seven etc.	0.85-0.9
Three grades-poor	Eight etc.	0.8-0.85
			Three grades-poor	Nine etc.	0.8

Table 5

Second data processing module of the present invention exports the valuation coefficient b with the second Data Matching according to the second data base, That is the second data processing module is according to the valuation coefficient b of table 1～5 output with the second Data Matching, wherein, the second data The valuation coefficient b in storehouse is divided into three grades, and every grade is divided into third, totally nine etc., the valuation coefficient b of described data processing module output be with Valuation coefficient in the table 5 of the minimum first-class of table 1～4 correspondence.

The present invention is belonged to by above-mentioned brand, purchases car date, current driving mileage, the parameter of new car price, by used car Price carry out preliminary valuation, and again by other more sophisticated category by wooden barrel away from drawing the grade of its correspondence, thus Draw the valuation coefficient of its correspondence.So, preliminary valuation just can be combined by user with valuation coefficient, obtains real the estimating of used car Value.The evaluation criterion of used car one car one condition of having fitted veritably.

Wherein, described brand ownership can be divided into: system of Japan and Korea S, American-European system, domestic system, in described first data base:

The allowance for depreciation of the 1st～3 year of system of Japan and Korea S is annual 14.24%；

The allowance for depreciation of the 4th～7 year of system of Japan and Korea S is annual 8.93%；

The allowance for depreciation of the 8th～10 year of system of Japan and Korea S is annual 2.20%；

Japan and Korea S system more than 10 years allowance for depreciation be 85%；

The allowance for depreciation of the 1st～3 year of American-European system is annual 13.6%；

The allowance for depreciation of the 4th～7 year of American-European system is annual 7.86%；

The allowance for depreciation of the 8th～10 year of American-European system is annual 4.25%；

More than 10 years of American-European system allowance for depreciation be 85%；

The allowance for depreciation of the 1st～3 year of domestic system is annual 14.66%；

The allowance for depreciation of the 4th～7 year of domestic system is annual 9.35%；

The allowance for depreciation of the 8th～10 year of domestic system is annual 1.20%；

More than 10 years of domestic system allowance for depreciation be 85%.

Wherein, the allowance for depreciation in each time is by the beginning of the month monthly, the middle of the month, stepping at the end of month, i.e. system of Japan and Korea S new car buy the 1 year, the allowance for depreciation of every 1/3 month about 0.395%.

The present invention by the division of above-mentioned allowance for depreciation, can by car fare is floated the soonest 10 years according to being small at both ends and big in the middle 3-4-3 carries out the calculating of depreciation.And retain the 15% of car fare as its residual value, i.e. use the vehicle of 11 years or 12 years to depend on The 15% of its new car fare of old use is as its depreciated residual value.

Preferably, described first data also include using mileage, and described first data processing module made according to following year With regulation coefficient d corresponding to mileage output, using mileage described year is the milimeter number that vehicle is exercised every year on average, and described appraisal is defeated Depanning tuber exports the second valuation c as follows according to the first valuation a, valuation coefficient b and regulation coefficient d,

Using the regulation coefficient d of below mileage 1000KM year is 0.9%；

Using the regulation coefficient d of mileage 1000KM～5000KM year is 0.003%；

Using the regulation coefficient d of mileage 5000KM～40000KM year is 0%；

Using the regulation coefficient d of mileage 40000KM～50000KM year is 0.01%；

Using the regulation coefficient d of mileage 50000KM～60000KM year is 0.02%；

Using the regulation coefficient d of mileage 60000KM～70000KM year is 0.02%；

Using the regulation coefficient d of mileage 70000KM～80000KM year is 2.20%；

Using the regulation coefficient d of mileage 80000KM～90000KM year is 2.50%；

Using the regulation coefficient d of more than mileage 90000KM year is 3.00%；

A × (b-d)=c.

The present invention is detected by the enforcement mileage for this vehicle, thus whether extrapolates the use frequency of this vehicle Rationally, in principle, use frequency excessive or too small service life that all can affect electromotor, therefore estimating as used car Valency coefficient can make the appraisal of used car the most reasonable.

Preferably, described first data also include using mileage, and described first data processing module made according to following year With mileage depreciation valuation coefficient a corresponding to mileage output₂, using mileage described year is the milimeter number that vehicle is exercised every year on average, Described appraisal output module is according to the first valuation a, valuation coefficient b and time depreciation valuation coefficient a₁, mileage depreciation valuation coefficient a₂ Export the second valuation c as follows,

Year uses the mileage depreciation valuation coefficient a of below mileage 1000KM₂It is 0.9%；

Year uses the mileage depreciation valuation coefficient a of mileage 1000KM～5000KM₂It is 0.003%；

Year uses the mileage depreciation valuation coefficient a of mileage 5000KM～40000KM₂It is 0%；

Year uses the mileage depreciation valuation coefficient a of mileage 40000KM～50000KM₂It is 0.01%；

Year uses the mileage depreciation valuation coefficient a of mileage 50000KM～60000KM₂It is 0.02%；

Year uses the mileage depreciation valuation coefficient a of mileage 60000KM～70000KM₂It is 0.02%；

Year uses the mileage depreciation valuation coefficient a of mileage 70000KM～80000KM₂It is 2.20%；

Year uses the mileage depreciation valuation coefficient a of mileage 80000KM～90000KM₂It is 2.50%；

Year uses the mileage depreciation valuation coefficient a of more than mileage 90000KM₂It is 3.00%；

$\left\{\begin{array}{c}{a}_1+a_2=a\\ a\×b=c\end{array}\right..$

Wherein time depreciation valuation coefficient a₁Computational methods be conventional means, do not repeat.

The present invention is detected by the enforcement mileage for this vehicle, thus whether extrapolates the use frequency of this vehicle Rationally, in principle, use frequency excessive or too small service life that all can affect electromotor, therefore estimating as used car Valency coefficient can make the appraisal of used car the most reasonable.

Preferably, described appraisal output module, the first data input module, the first data processing module, the first data base, Second data input module is configured in terminal, and the second data processing module, the second data base are configured in server, described end End is connected with server by communication module, and the information cache in communication module realizes based on recent minimum use algorithm, data Obtain unique ID by Message Digest 5 and record in hash table, as terminal to server request transmission the second valuation c Time, if communicating to connect unsuccessfully, then the first valuation a is exported by terminal automatically as the second valuation c, and will communication connection The second valuation c that the second valuation c during success exports before covering, described terminal is connected with the sockets services length of server, Server passes through socket dispatch messages, exchanges the data interchange format of lightweight between terminal and the service interface of server Data.

The present invention can only export the first valuation of rough estimate when network is not smooth, facilitates client couple by the way The value of vehicle judges, and, accurate valuation can be carried out subsequently when network is common.

Preferably, present invention additionally comprises

3rd sensor, it is for detecting the actual output P of wheel hub_S,

3rd data processing module, it is according to the rated power P of the wheel hub in the 3rd data base_E, output P_SAs follows Formula output strain coefficient f,

$f=\frac{3P_S}{4P_E}\×100\%;$

Described appraisal output module exports second as follows according to the first valuation a, valuation coefficient b and strain coefficient f Valuation c,

A × b × f=c.

The present invention calculates the gap between itself and rated power according to the real output of wheel hub, thus represents car The degree of the decline of the power brought due to throughout the year strain, thus represent, with actual the losing of power, the folding that car load is worth Damage.

Preferably, present invention additionally comprises

4th sensor, its actual noise Z in the car cage detecting speed per hour 120KM/H_S,

4th data processing module, it is according to the specified noise Z in the car cage of speed per hour 120KM/H_E, actual noise Z_S Coefficient g is lost with equation below output noise reduction,

$g=\frac{4(Z_E-30)}{5(Z_S-30)}\×100\%;$

Described appraisal output module is lost coefficient g according to the first valuation a, valuation coefficient b and noise reduction and is exported as follows Second valuation c,

A × b × g=c.

The present invention loses coefficient by noise reduction can react vehicle more accurately through long-term use, losing of noise reduction system Degree, has also reacted the change of the noise that electromotor produces after prolonged from another aspect, thus losing with noise reduction Degree represent car load value lose degree.

Preferably, present invention additionally comprises

5th sensor, it is for detecting the practical oil consumption H of at the uniform velocity 100KM/H_S,

5th data processing module, it is according to the specified oil consumption H in the car cage of at the uniform velocity 100KM/H_E, practical oil consumption H_S Coefficient L is lost with equation below output oil consumption,

$L=\frac{H_E-2}{H_S}\×100\%;$

Described appraisal output module is lost coefficient L according to the first valuation a, valuation coefficient b and oil consumption and is exported as follows Second valuation c,

A × b × L=c.

The present invention by the calculating of oil consumption can the health status of estimating engine accurately, if wherein hundred kilometers of oil Vehicle within consumption overflow stand oil 2 oil of consumption, the car that generally speaking still a performance is pretty good, the most also can increase it and estimate Valency.The present invention can measure the value preserving rate of vehicle more accurately by fuel consumption per hundred kilometers.

Preferably, also include

6th sensor, it is for detecting the acceleration time T of automobile 0～100KM/H_S,

6th data processing module, it is according to T time rating of the acceleration of automobile 0～100KM/H_E, actual acceleration time T_S Coefficient M is lost with equation below output acceleration,

$M=\frac{3T_S}{7(T_E-1)}\×100\%;$

Described appraisal output module is lost coefficient M according to the first valuation a, valuation coefficient b and acceleration and is exported as follows Second valuation c,

A × b × M=c.

The present invention hundred kilometers of acceleration achievements by measuring and calculating vehicle, thus detect the actual power performance of vehicle, if only Generally speaking or the pretty good car of a performance vehicle within slow 1 second than normal speed, the most also can increase its appraisal.This Invent the value preserving rate that can measure vehicle by measuring hundred kilometers of acceleration achievements more accurately.

Preferably, also include

Information scratching module, it passes through web crawlers software grabs existing vehicle transaction value and vehicle condition information；

7th output spacing module, its according to existing vehicle transaction value and vehicle condition information updating the first data base and The data of two data bases.

The data estimation methods such as one motor vehicles of the present invention three grade nine, it is characterised in that comprise the steps:

S100, inputting the first data, described first data include one or more combinations:

Brand belongs to, purchases car date, current driving mileage, new car price；

S200, according to first data base's output and the first valuation a of the first Data Matching；

S300, inputting the second data, described second data include that one or more of combines:

Month sales volume, the first five years value preserving rate, C-NCAP safety coefficient, mortality rate ranking, fault rate, color, service life, Year use mileage, successive car owner's number, vehicle character, whether be under warranty, insure the most continuously, maintenance record, maintenance time Record, detection scoring, accident escape record, fake-licensed car record, robber recall in number, claim frequencies, the insurance claim amount of money, producer Rob car record, mortgage labelling record；

S400, according to second data base's output and the valuation coefficient b of the second Data Matching；

S500, export according to the first valuation a and valuation coefficient b and export the second valuation c as follows:

A × b=c；

Wherein, the valuation coefficient b of the second data base is divided into three grades, and every grade is divided into third, and totally nine etc., described data process mould Block output the valuation coefficient that valuation coefficient b is the minimum first-class corresponding with the second data, appraisal output module according to described in estimate Value coefficient b exports corresponding X level and Y etc..

Such as, appraisal output module, according to when b is 100%, exports the X=2, Y=4 corresponding with b, i.e. appraisal output When module is 100% according to b, export two grades or two grades-in, the fourth class.

Preferably, present invention additionally comprises accident record server, when vehicle maintenance expense valuation N is less than the second valuation c, institute State the first valuation a that accident record server according to vehicle maintenance expense valuation N, is matched with the first data base, be matched with the second number The second valuation c is updated as follows according to valuation coefficient b, the service life Z in storehouse；

$(a-N)\×b+N\×\frac{Z-10}{10}=c.$

The present invention can be estimated for the second valuation c according to the cost of repairs again by above-mentioned algorithm, thus obtains one Individual with existing value closer to valuation.Because if vehicle is after a repair, particularly one use time was more than 10 years Vehicle, after overhaul, its newest part changed can promote vehicle performance, thus promotes the valuation of vehicle.Therefore, user The valuation after repairing can be learnt more accurately, thus compare with repairing cost lexpenses valuation N according to the second valuation c after repairing, allow User has a judgement become apparent to scrapping.

Preferably, present invention additionally comprises accident record server, when vehicle maintenance expense valuation N is less than the second valuation c, institute State the first valuation a that accident record server according to vehicle maintenance expense valuation N, is matched with the first data base, be matched with the second number The second valuation c is updated as follows according to valuation coefficient b, the maintenance position FACTOR P in storehouse；

(a-N) × b+N × P=c；

Wherein,

When maintenance position is body shell, FACTOR P=-1.2, maintenance position；

When maintenance position is electromotor, FACTOR P=-0.5, maintenance position；

When the expendable parts that maintenance position is such as tire, storage battery, seat, middle control, lamp, brake disc, maintenance position FACTOR P=1.2；

When maintenance position is variator, FACTOR P=-0.5, maintenance position；

When maintenance position is vehicle body sheet metal, FACTOR P=-0.3, maintenance position.

The vehicle maintenance expense valuation N of user effort can be preserved value by above-mentioned maintenance position FACTOR P and convert by the present invention, thus The second valuation c the most accurately is brought after maintenance to user.Because the replacing of a part of expendable parts, the guarantor of vehicle can be increased Value rate, and the maintenance of a part of core component, can reduce the value preserving rate of vehicle.

Preferably, present invention additionally comprises accident record server, when vehicle maintenance expense valuation N is less than the second valuation c, institute State the first valuation a that accident record server according to vehicle maintenance expense valuation N, is matched with the first data base, be matched with the second number The second valuation c is updated as follows according to valuation coefficient b, the maintenance place coefficients R in storehouse；

(a-N) × b+N × R=c；

Wherein,

When keeping in repair place and being 4S shop, keep in repair coefficients R=0.8, place；

When keeping in repair place and being the maintenance store that insurance company recognizes, keep in repair coefficients R=0.5, place；

When keeping in repair place and being the unconfessed maintenance store of insurance company, keep in repair coefficients R=-0.5, place.

The present invention, by above-mentioned maintenance place coefficients R, can affect the second valuation c after vehicle maintenance, so that user is more Judge the valuation after maintenance exactly.

Preferably, present invention additionally comprises accident record server, when vehicle maintenance expense valuation N is less than the second valuation c, institute State the first valuation a that accident record server according to vehicle maintenance expense valuation N, is matched with the first data base, be matched with the second number The second valuation c is updated as follows according to valuation coefficient b, the maintenance place coefficients R in storehouse；

(a-N) × b+N × R=c；

Wherein,

When keeping in repair the class Automobile Service shop that place is Ministry of Communications's certification, keep in repair coefficients R=1.2, place；

When keeping in repair the two class Automobile Service shop that place is Ministry of Communications's certification, keep in repair coefficients R=1.0, place；

When keeping in repair the three class Automobile Service shop that place is Ministry of Communications's certification, keep in repair coefficients R=0.8, place；

When keeping in repair place and being the Automobile Service shop without qualification, keep in repair coefficients R=-0.3, place.

Preferably, present invention additionally comprises accident record server, when vehicle maintenance expense valuation N is less than the second valuation c, institute State the first valuation a that accident record server according to vehicle maintenance expense valuation N, is matched with the first data base, be matched with the second number The second valuation c is updated as follows according to valuation coefficient b, the maintainer coefficient W in storehouse；

(a-N) × b+N × W=c；

Wherein,

When maintainer is the practicing requirements certificate with producer's certification, maintainer coefficient W=1.0；

When maintainer is the professional qualification certificate with Ministry of Labour's certification, maintainer coefficient W=0.8；

When maintainer is not qualify certificate, maintainer coefficient W=0.3.

Wherein, producer's certification, refer to the maintainer of main frame producer certification training.

Preferably, present invention additionally comprises accident record server, when vehicle maintenance expense valuation N is less than the second valuation c, institute State the first valuation a that accident record server according to vehicle maintenance expense valuation N, is matched with the first data base, be matched with the second number The second valuation c is updated as follows according to valuation coefficient b, the front mileage U that exercises of maintenance in storehouse；

$(a-N)\×b+N\×\frac{U-50000}{50000}=c.$

The present invention, by exercising mileage U before above-mentioned maintenance, can affect the second valuation c after vehicle maintenance, so that user Judge the valuation after maintenance more accurately.

Preferably, present invention additionally comprises accident record server, when vehicle maintenance expense valuation N is less than the second valuation c, institute State the first valuation a that accident record server according to vehicle maintenance expense valuation N, is matched with the first data base, be matched with the second number The second valuation c is updated as follows according to valuation coefficient b, car system classification factor V in storehouse；

(a-N) × b+N × V=c；

Wherein,

The vehicle classification coefficient of system of Japan and Korea S car is V=0.8；

America and Europe be the vehicle classification coefficient of car be V=1.2；

The vehicle classification coefficient of domestic system car is V=1.0.

The present invention, by above-mentioned car system classification factor V, can assess the second valuation c of vehicle more accurately.

Preferably, present invention additionally comprises

First data input module, it is for input the first data, and described first data include following a kind of data or many Plant data to combine:

Vehicle VIN, brand belong to, purchase car date, current driving mileage, new car price, automobile brand, car money, vehicle；

First data processing module, it is for the first valuation a according to first data base's output with the first Data Matching；

Second data input module, it is for input the second data, and described second data include following a kind of data or many Plant data to combine:

Month sales volume, the first five years value preserving rate, C-NCAP safety coefficient, mortality rate ranking, fault rate, color, service life, Year use mileage, successive car owner's number, vehicle character, whether be under warranty, insure the most continuously, maintenance record, maintenance time Record, detection scoring, accident escape record, fake-licensed car record, robber recall in number, claim frequencies, the insurance claim amount of money, producer Rob car record, mortgage labelling record；

Second data processing module, it is for the valuation coefficient b according to second data base's output with the second Data Matching；

Accident record server, it is used for recording accident conditions and processing mode；

Wherein, the valuation coefficient b of the second data base is divided into three grades, and every grade is divided into third, and totally nine etc., described data process mould Block output the valuation coefficient that valuation coefficient b is the minimum first-class corresponding with the second data, appraisal output module according to described in estimate Value coefficient b exports corresponding X level and Y etc.；

When vehicle maintenance expense valuation N is less than the second valuation c, accident record server adjusts valuation system according to maintenance position The X level of number b and Y etc.,

Wherein,

When maintenance position is body shell, valuation coefficient b drops 2 grades, i.e. fall 6 etc.；

When maintenance position is electromotor, valuation coefficient b drops 1 grade, i.e. fall 3 etc.；

When the expendable parts that maintenance position is such as tire, storage battery, seat, middle control, lamp, brake disc, valuation coefficient b Liter 2 etc.；

When maintenance position is variator, valuation coefficient b fall 2 etc.；

When maintenance position is vehicle body sheet metal, valuation coefficient b fall 1 etc..

The present invention can change X level corresponding to valuation coefficient and Y etc. by the difference of above-mentioned maintenance position, thus change and be somebody's turn to do The grading that three grade of nine grade of car valuation is corresponding, experiences vehicle condition with making user's more straight tube.

Preferably, present invention additionally comprises

First data input module, it is for input the first data, and described first data include following a kind of data or many Plant data to combine:

Vehicle VIN, brand belong to, purchase car date, current driving mileage, new car price, automobile brand, car money, vehicle；

First data processing module, it is for the first valuation a according to first data base's output with the first Data Matching；

Second data input module, it is for input the second data, and described second data include following a kind of data or many Plant data to combine:

Month sales volume, the first five years value preserving rate, C-NCAP safety coefficient, mortality rate ranking, fault rate, color, service life, Year use mileage, successive car owner's number, vehicle character, whether be under warranty, insure the most continuously, maintenance record, maintenance time Record, detection scoring, accident escape record, fake-licensed car record, robber recall in number, claim frequencies, the insurance claim amount of money, producer Rob car record, mortgage labelling record；

Second data processing module, it is for the valuation coefficient b according to second data base's output with the second Data Matching；

Accident record server, it is used for recording accident conditions and processing mode；

Wherein, the valuation coefficient b of the second data base is divided into three grades, and every grade is divided into third, and totally nine etc., described data process mould Block output the valuation coefficient that valuation coefficient b is the minimum first-class corresponding with the second data, appraisal output module according to described in estimate Value coefficient b exports corresponding X level and Y etc.；

When vehicle maintenance expense valuation N is less than the second valuation c, accident record server adjusts valuation according to service life Z The X level of coefficient b and Y etc.,

Wherein,

When service life Z is the 1st～3 year, valuation coefficient b drops 2 grades, i.e. fall 6 etc.；

When service life Z is the 4th～7 year, valuation coefficient b drops 1 grade, i.e. fall 3 etc.；

When service life Z is the 8th～10 year, valuation coefficient b liter 1 etc.；

When service life Z is more than 10 years, valuation coefficient b liter 2 etc..

Preferably, present invention additionally comprises

First data input module, it is for input the first data, and described first data include following a kind of data or many Plant data to combine:

Vehicle VIN, brand belong to, purchase car date, current driving mileage, new car price, automobile brand, car money, vehicle；

First data processing module, it is for the first valuation a according to first data base's output with the first Data Matching；

Second data input module, it is for input the second data, and described second data include following a kind of data or many Plant data to combine:

Month sales volume, the first five years value preserving rate, C-NCAP safety coefficient, mortality rate ranking, fault rate, color, service life, Year use mileage, successive car owner's number, vehicle character, whether be under warranty, insure the most continuously, maintenance record, maintenance time Record, detection scoring, accident escape record, fake-licensed car record, robber recall in number, claim frequencies, the insurance claim amount of money, producer Rob car record, mortgage labelling record；

Second data processing module, it is for the valuation coefficient b according to second data base's output with the second Data Matching；

Accident record server, it is used for recording accident conditions and processing mode；

Wherein, the valuation coefficient b of the second data base is divided into three grades, and every grade is divided into third, and totally nine etc., described data process mould Block output the valuation coefficient that valuation coefficient b is the minimum first-class corresponding with the second data, appraisal output module according to described in estimate Value coefficient b exports corresponding X level and Y etc.；

When vehicle maintenance expense valuation N is less than the second valuation c, accident record server is according to exercising mileage U tune before maintenance The X level of whole valuation coefficient b and Y etc.,

Wherein,

American-European car system:

When exercising mileage U before maintenance and being 0～60000km, valuation coefficient b drops 2 grades, i.e. fall 6 etc.；

When exercising mileage U before maintenance and being 60000～120000km, valuation coefficient b drops 1 grade, i.e. fall 3 etc.；

When exercising mileage U before maintenance and being 120000～180000km, valuation coefficient b liter 1 etc.；

When exercising mileage U before maintenance and being 180000～240000km, valuation coefficient b liter 2 etc.；

When exercising mileage U before maintenance and being more than 240000km, valuation coefficient b rises 1 grade, i.e. rises 3

Deng；

Car system of Japan and Korea S:

When exercising mileage U before maintenance and being 0～40000km, valuation coefficient b drops 2 grades, i.e. fall 6 etc.；

When exercising mileage U before maintenance and being 40000～80000km, valuation coefficient b drops 1 grade, i.e. fall 3 etc.；

When exercising mileage U before maintenance and being 80000～120000km, valuation coefficient b liter 1 etc.；

When exercising mileage U before maintenance and being 120000～160000km, valuation coefficient b liter 2 etc.；

When exercising mileage U before maintenance and being more than 160000km, valuation coefficient b rises 1 grade, i.e. rises 3

Deng；

Domestic car system:

When exercising mileage U before maintenance and being 0～30000km, valuation coefficient b drops 2 grades, i.e. fall 6 etc.；

When exercising mileage U before maintenance and being 30000～60000km, valuation coefficient b drops 1 grade, i.e. fall 3 etc.；

When exercising mileage U before maintenance and being 60000～90000km, valuation coefficient b liter 1 etc.；

When exercising mileage U before maintenance and being 90000～120000km, valuation coefficient b liter 2 etc.；

When exercising mileage U before maintenance and being more than 120000km, valuation coefficient b rises 1 grade, i.e. rises 3

Deng.

A kind of motor vehicles scrap judging method, comprises the steps:

Output vehicle maintenance expense valuation N；

According to being matched with the first valuation a of the first data base, being matched with the valuation coefficient b output of the second data base by as follows Formula exports the second valuation c:

A × b=c；

When vehicle maintenance expense valuation N is more than the second valuation c, then export rejection signal.

Embodiment described above is only to be described the preferred embodiment of the present invention, the not model to the present invention Enclose and be defined, on the premise of designing spirit without departing from the present invention, the those of ordinary skill in the art technical side to the present invention Various deformation that case is made and improvement, all should fall in the protection domain that claims of the present invention determines.

Claims (10)

1. judgment means scrapped by a motor vehicles, it is characterised in that: include

Maintenance estimator module, it is used for exporting vehicle maintenance expense valuation N；

Appraisal output module, it is for according to being matched with the first valuation a of the first data base, being matched with the valuation of the second data base Coefficient b exports and exports the second valuation c as follows:

A × b=c；

Rejection judgment module, when vehicle maintenance expense valuation N is more than the second valuation c, then exports rejection signal.

Judgment means scrapped by motor vehicles the most according to claim 1, it is characterised in that: also include accident record server, When vehicle maintenance expense valuation N less than the second valuation c time, described accident record server according to vehicle maintenance expense valuation N, be matched with The first valuation a of the first data base, valuation coefficient b, the service life Z being matched with the second data base update second as follows Valuation c；

$(a-N)\×b+N\×\frac{Z-10}{10}=c.$

Judgment means scrapped by motor vehicles the most according to claim 1, it is characterised in that: also include accident record server, When vehicle maintenance expense valuation N less than the second valuation c time, described accident record server according to vehicle maintenance expense valuation N, be matched with The first valuation a of the first data base, be matched with the valuation coefficient b of the second data base, maintenance position FACTOR P updates as follows Second valuation c；

(a-N) × b+N × P=c；

Wherein,

When maintenance position is body shell, FACTOR P=-1.2, maintenance position；

When maintenance position is electromotor, FACTOR P=-0.5, maintenance position；

When the expendable parts that maintenance position is such as tire, storage battery, seat, middle control, lamp, brake disc, maintenance position FACTOR P =1.2；

When maintenance position is variator, FACTOR P=-0.5, maintenance position；

When maintenance position is vehicle body sheet metal, FACTOR P=-0.3, maintenance position.

Judgment means scrapped by motor vehicles the most according to claim 1, it is characterised in that: also include accident record server, When vehicle maintenance expense valuation N less than the second valuation c time, described accident record server according to vehicle maintenance expense valuation N, be matched with The first valuation a of the first data base, be matched with the valuation coefficient b of the second data base, maintenance place coefficients R updates as follows Second valuation c；

(a-N) × b+N × R=c；

Wherein,

When keeping in repair the class Automobile Service shop that place is Ministry of Communications's certification, keep in repair coefficients R=1.2, place；

When keeping in repair the two class Automobile Service shop that place is Ministry of Communications's certification, keep in repair coefficients R=1.0, place；

When keeping in repair the three class Automobile Service shop that place is Ministry of Communications's certification, keep in repair coefficients R=0.8, place；

When keeping in repair place and being the Automobile Service shop without qualification, keep in repair coefficients R=-0.3, place.

Judgment means scrapped by motor vehicles the most according to claim 1, it is characterised in that: also include accident record server, When vehicle maintenance expense valuation N less than the second valuation c time, described accident record server according to vehicle maintenance expense valuation N, be matched with The first valuation a of the first data base, be matched with the valuation coefficient b of the second data base, maintainer coefficient W updates as follows Second valuation c；

(a-N) × b+N × W=c；

Wherein,

When maintainer is the practicing requirements certificate with producer's certification, maintainer coefficient W=1.0；

When maintainer is the professional qualification certificate with Ministry of Labour's certification, maintainer coefficient W=0.8；

When maintainer is not qualify certificate, maintainer coefficient W=0.3.

Judgment means scrapped by motor vehicles the most according to claim 1, it is characterised in that: also include accident record server, When vehicle maintenance expense valuation N less than the second valuation c time, described accident record server according to vehicle maintenance expense valuation N, be matched with The first valuation a of the first data base, be matched with the valuation coefficient b of the second data base, maintenance before exercise mileage U the most more New second valuation c；

$(a-N)\×b+N\×\frac{U-50000}{50000}=c.$

Judgment means scrapped by motor vehicles the most according to claim 1, it is characterised in that: also include accident record server, When vehicle maintenance expense valuation N less than the second valuation c time, described accident record server according to vehicle maintenance expense valuation N, be matched with The first valuation a of the first data base, be matched with the valuation coefficient b of the second data base, car system classification factor V updates as follows Second valuation c；

(a-N) × b+N × V=c；

Wherein,

The vehicle classification coefficient of system of Japan and Korea S car is V=0.8；

America and Europe be the vehicle classification coefficient of car be V=1.2；

The vehicle classification coefficient of domestic system car is V=1.0.

Judgment means scrapped by motor vehicles the most according to claim 1, it is characterised in that: also include

First data input module, it includes following a kind of data or multiple number for input the first data, described first data According to combination:

Vehicle VIN, brand belong to, purchase car date, current driving mileage, new car price, automobile brand, car money, vehicle；

First data processing module, it is for the first valuation a according to first data base's output with the first Data Matching；

Second data input module, it includes following a kind of data or multiple number for input the second data, described second data According to combination:

Month sales volume, the first five years value preserving rate, C-NCAP safety coefficient, mortality rate ranking, fault rate, color, service life, make in year With mileage, successive car owner's number, vehicle character, whether be under warranty, insure the most continuously, maintenance record, maintenance frequency, guarantor Danger claim number, the insurance claim amount of money, producer recall record, detection scoring, accident escape record, fake-licensed car record, steal and rob car Record, mortgage labelling record；

Second data processing module, it is for the valuation coefficient b according to second data base's output with the second Data Matching；

Accident record server, it is used for recording accident conditions and processing mode；

Wherein, the valuation coefficient b of the second data base is divided into three grades, and every grade is divided into third, and totally nine etc., described data processing module is defeated The valuation coefficient that valuation coefficient b is the minimum first-class corresponding with the second data gone out, appraisal output module is according to described valuation system Number b exports corresponding X level and Y etc.；

When vehicle maintenance expense valuation N is less than the second valuation c, accident record server adjusts valuation coefficient b according to maintenance position X level and Y etc.,

Wherein,

When maintenance position is body shell, valuation coefficient b drops 2 grades, i.e. fall 6 etc.；

When maintenance position is electromotor, valuation coefficient b drops 1 grade, i.e. fall 3 etc.；

When the expendable parts that maintenance position is such as tire, storage battery, seat, middle control, lamp, brake disc, valuation coefficient b rises 2 Deng；

When maintenance position is variator, valuation coefficient b fall 2 etc.；

When maintenance position is vehicle body sheet metal, valuation coefficient b fall 1 etc..

Judgment means scrapped by motor vehicles the most according to claim 1, it is characterised in that: also include

First data input module, it includes following a kind of data or multiple number for input the first data, described first data According to combination:

Vehicle VIN, brand belong to, purchase car date, current driving mileage, new car price, automobile brand, car money, vehicle；

First data processing module, it is for the first valuation a according to first data base's output with the first Data Matching；

Second data input module, it includes following a kind of data or multiple number for input the second data, described second data According to combination:

Month sales volume, the first five years value preserving rate, C-NCAP safety coefficient, mortality rate ranking, fault rate, color, service life, make in year With mileage, successive car owner's number, vehicle character, whether be under warranty, insure the most continuously, maintenance record, maintenance frequency, guarantor Danger claim number, the insurance claim amount of money, producer recall record, detection scoring, accident escape record, fake-licensed car record, steal and rob car Record, mortgage labelling record；

Second data processing module, it is for the valuation coefficient b according to second data base's output with the second Data Matching；

Accident record server, it is used for recording accident conditions and processing mode；

Wherein, the valuation coefficient b of the second data base is divided into three grades, and every grade is divided into third, and totally nine etc., described data processing module is defeated The valuation coefficient that valuation coefficient b is the minimum first-class corresponding with the second data gone out, appraisal output module is according to described valuation system Number b exports corresponding X level and Y etc.；

When vehicle maintenance expense valuation N is less than the second valuation c, accident record server adjusts valuation coefficient b according to service life Z X level and Y etc.,

Wherein,

When service life Z is the 1st～3 year, valuation coefficient b drops 2 grades, i.e. fall 6 etc.；

When service life Z is the 4th～7 year, valuation coefficient b drops 1 grade, i.e. fall 3 etc.；

When service life Z is the 8th～10 year, valuation coefficient b liter 1 etc.；

When service life Z is more than 10 years, valuation coefficient b liter 2 etc..

Preferably, also include

First data input module, it includes following a kind of data or multiple number for input the first data, described first data According to combination:

Vehicle VIN, brand belong to, purchase car date, current driving mileage, new car price, automobile brand, car money, vehicle；

First data processing module, it is for the first valuation a according to first data base's output with the first Data Matching；

Second data input module, it includes following a kind of data or multiple number for input the second data, described second data According to combination:

Month sales volume, the first five years value preserving rate, C-NCAP safety coefficient, mortality rate ranking, fault rate, color, service life, make in year With mileage, successive car owner's number, vehicle character, whether be under warranty, insure the most continuously, maintenance record, maintenance frequency, guarantor Danger claim number, the insurance claim amount of money, producer recall record, detection scoring, accident escape record, fake-licensed car record, steal and rob car Record, mortgage labelling record；

Second data processing module, it is for the valuation coefficient b according to second data base's output with the second Data Matching；

Accident record server, it is used for recording accident conditions and processing mode；

Wherein, the valuation coefficient b of the second data base is divided into three grades, and every grade is divided into third, and totally nine etc., described data processing module is defeated The valuation coefficient that valuation coefficient b is the minimum first-class corresponding with the second data gone out, appraisal output module is according to described valuation system Number b exports corresponding X level and Y etc.；

When vehicle maintenance expense valuation N is less than the second valuation c, accident record server is estimated according to exercising mileage U adjustment before maintenance The X level of value coefficient b and Y etc.,

Wherein,

American-European car system:

When exercising mileage U before maintenance and being 0～60000km, valuation coefficient b drops 2 grades, i.e. fall 6 etc.；

When exercising mileage U before maintenance and being 60000～120000km, valuation coefficient b drops 1 grade, i.e. fall 3 etc.；

When exercising mileage U before maintenance and being 120000～180000km, valuation coefficient b liter 1 etc.；

When exercising mileage U before maintenance and being 180000～240000km, valuation coefficient b liter 2 etc.；

When exercising mileage U before maintenance and being more than 240000km, valuation coefficient b rises 1 grade, i.e. liter 3 etc.；

Car system of Japan and Korea S:

When exercising mileage U before maintenance and being 0～40000km, valuation coefficient b drops 2 grades, i.e. fall 6 etc.；

When exercising mileage U before maintenance and being 40000～80000km, valuation coefficient b drops 1 grade, i.e. fall 3 etc.；

When exercising mileage U before maintenance and being 80000～120000km, valuation coefficient b liter 1 etc.；

When exercising mileage U before maintenance and being 120000～160000km, valuation coefficient b liter 2 etc.；

When exercising mileage U before maintenance and being more than 160000km, valuation coefficient b rises 1 grade, i.e. liter 3 etc.；

Domestic car system:

When exercising mileage U before maintenance and being 0～30000km, valuation coefficient b drops 2 grades, i.e. fall 6 etc.；

When exercising mileage U before maintenance and being 30000～60000km, valuation coefficient b drops 1 grade, i.e. fall 3 etc.；

When exercising mileage U before maintenance and being 60000～90000km, valuation coefficient b liter 1 etc.；

When exercising mileage U before maintenance and being 90000～120000km, valuation coefficient b liter 2 etc.；

When exercising mileage U before maintenance and being more than 120000km, valuation coefficient b rises 1 grade, i.e. liter 3 etc..

10. a motor vehicles scrap judging method, it is characterised in that comprise the steps:

Output vehicle maintenance expense valuation N；

According to being matched with the first valuation a of the first data base, being matched with the valuation coefficient b output of the second data base as follows Export the second valuation c:

A × b=c；

When vehicle maintenance expense valuation N is more than the second valuation c, then export rejection signal.