CN107133815A - Motor vehicle risk and valve estimating system based on parts life cycle - Google Patents
Motor vehicle risk and valve estimating system based on parts life cycle Download PDFInfo
- Publication number
- CN107133815A CN107133815A CN201710221179.7A CN201710221179A CN107133815A CN 107133815 A CN107133815 A CN 107133815A CN 201710221179 A CN201710221179 A CN 201710221179A CN 107133815 A CN107133815 A CN 107133815A
- Authority
- CN
- China
- Prior art keywords
- valuation
- coefficient
- vehicle
- parts
- car
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0283—Price estimation or determination
Landscapes
- Business, Economics & Management (AREA)
- Development Economics (AREA)
- Engineering & Computer Science (AREA)
- Accounting & Taxation (AREA)
- Strategic Management (AREA)
- Finance (AREA)
- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Automobile Manufacture Line, Endless Track Vehicle, Trailer (AREA)
Abstract
Of the invention motor vehicle risk and valve estimating system based on parts life cycle include the grade dynamic data valuation device of three-level nine, its first data according to vehicle, second the second valuation of data output c；Valuation coefficient adjustment module, it is according to the service condition output adjustment coefficient r of the parts of vehicle；Data processing module, it exports the 3rd valuation s of vehicle according to equation below；S=c × (1+r).The service condition that the present invention passes through above-mentioned parts of the valuation coefficient adjustment module based on vehicle, that is, life cycle and have adjusted the valuation of vehicle so that the valuation of used car is more accurate, user can more clearly understand the value of vehicle, and by being worth and regulation coefficient r learns the risk of vehicle.
Description
Technical field
The present invention relates to vehicle valuation system, more particularly to a kind of valuation system according to vehicle component life cycle
System.
Background technology
Vehicle valuation mode is always the problem of whole industry.On the one hand the valuation of vehicle have impact on the transaction of used car,
On the other hand it also have impact on the radix that user pays insurance premium.
In current industry, the valuation reference data mainly used only has guiding price, using mileage, service life.However, on
Vehicle actual conditions can not be based on and personalized assessment vehicle value by stating assessment mode, make user frequent after purchase used car
It can regret buying at that time thanks to.
A kind of grade of motor vehicle three-level nine dynamic data valuation device and method of China's patent of invention, Publication No.：CN
106022828 A, publication date is：2016.10.12, disclose a kind of estimation method for used car.However, above-mentioned estimate
Value method fails to the life cycle based on vehicle component and carries out valuation for vehicle.
For example, two identical product after a kind of above-mentioned grade of motor vehicle three-level nine dynamic data valuation device and method assessment
In board, identical car money, the used car being equally worth, a used car is all more to renew tire, the tire of a used car
Should all it change.The data that so above-mentioned appraisal procedure is provided can not also embody the life cycle of its actual parts for it
The influence of value.
Therefore, need badly at present it is a kind of can valuation system based on the life cycle of parts, so assess vehicle and estimate
Value and consumer's risk is informed by valuation.
The content of the invention
The technical problem to be solved in the present invention is to provide a kind of simple in construction, cost it is low, easy to operate, given birth to according to parts
The life cycle carrys out the motor vehicle risk and valve estimating system based on parts life cycle of valuation.
Motor vehicle risk and valve estimating system of the invention based on parts life cycle, including
The grade dynamic data valuation device of three-level nine, its first data according to vehicle, second the second valuation of data output c；
Valuation coefficient adjustment module, it is according to the service condition output adjustment coefficient r of the parts of vehicle；
Data processing module, it exports the 3rd valuation s of vehicle according to equation below,
S=c × (1+r).
Motor vehicle risk and valve estimating system difference from prior art of the invention based on parts life cycle
It is the service condition of parts of the valuation coefficient adjustment module based on vehicle, i.e. life cycle and the valuation that have adjusted vehicle,
So that the valuation of used car is more accurate, user can more clearly understand the value of vehicle, and pass through value and regulation coefficient r
Learn the risk of vehicle.
The motor vehicle risk and valve estimating system based on parts life cycle to the present invention are made below in conjunction with the accompanying drawings
Further illustrate.
Brief description of the drawings
Fig. 1 is motor vehicle risk and the schematic diagram of valve estimating system based on parts life cycle；
Embodiment
As shown in figure 1, motor vehicle risk and valve estimating system of the invention based on parts life cycle include
The grade dynamic data valuation device of three-level nine, its first data according to vehicle, second the second valuation of data output c；
Valuation coefficient adjustment module, it is according to the service condition output adjustment coefficient r of the parts of vehicle；
Data processing module, it exports the 3rd valuation s of vehicle according to equation below,
S=c × (1+r).
The service condition that the present invention passes through above-mentioned parts of the valuation coefficient adjustment module based on vehicle, i.e. life cycle
And the valuation of vehicle is have adjusted, so that the valuation of used car is more accurate, user can more clearly understand the value of vehicle, and
The risk of vehicle is learnt with regulation coefficient r by being worth.
Wherein, the grade of three-level nine dynamic data valuation device includes
First data input module, it is used to input the first data, and first data include a kind of following data or many
Plant data combination：
Vehicle VIN, brand ownership, purchase car date, current driving mileage, new car price, automobile brand, car money, vehicle；
First data processing module, it is used to export the first valuation a with the first Data Matching according to the first database；
Second data input module, it is used to input the second data, and second data include a kind of following data or many
Plant data combination：
Month sales volume, the first five years value preserving rate, C-NCAP safety coefficients, death rate ranking, fault rate, color, service life,
Year using mileage, successive car owner's number, vehicle property, whether be under warranty, insure whether continuous, maintenance record, maintenance secondary
Number, claim frequencies, the insurance claim amount of money, producer recall record, detect scoring, accident escape record, fake-licensed car record, robber
Rob car record, mortgage mark record；
Second data processing module, it is used to export the valuation coefficient b with the second Data Matching according to the second database；
Evaluate output module, it is used to export the second valuation as follows according to the first valuation a and valuation coefficient b outputs
c：
A × b=c；
Wherein, valuation coefficient b points of the second database are three-level, and every grade is divided into third, totally nine etc., the data processing mould
The valuation coefficient b of block output is minimum first-class valuation coefficient corresponding with the second data, and appraisal output module is estimated according to
The corresponding X levels of value coefficient b outputs and Y etc..
For example, appraisal output module exports X=2, Y=4 corresponding with b according to when b is 100%, i.e. appraisal output
When module is 100% according to b, two grades or two grades of output-in, the fourth class.
Wherein, the first data input module can also parse the brand ownership of its vehicle, automobile brand, car according to vehicle VIN
Money, vehicle, new car price；Purchase car date, current driving mileage are manually entered again.
Wherein,
Brand ownership can be divided into：System of Japan and Korea S, American-European system, domestic system；
Purchase the car date be：Date；
It is current to exercise course：Data mode milimeter number；
New car price can be：Purchase 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：Moon sales volume of the vehicle when purchasing car；
The first five years value preserving rate：Each year issued according to Chinese automobile value preserving rate research committee《Chinese automobile value preserving rate
Report》In corresponding vehicle the first five years value preserving rate or other third party's value preserving rates report of public's accreditation；C-NCAP pacifies
Overall coefficient：China-New Car Assessment Program (Chinese new car assessment routine) requirements enter driving to a kind of vehicle
Speed 50km/h and the head-on crash of the Duplication of obstacle 100%, car speed 64km/h are rigidly fixed to deformable obstacle
Three kinds of collision examinations such as the Frontal offset impact of 40% Duplication, deformable mobile obstacle speed 50km/h and vehicle side collision
Test, every experiment score and total score are calculated according to test data, how much star is determined by total score.
Death rate ranking is：The death rate row for the vehicle that IIHS (IIHS) issues every year
Name.
Fault rate：Germany technology examines the fault rate report that association (T ü V) issues every year, or U.S.'s J.D.Power automobiles
Fault rate report and other third party's publicity dependent failure rates report both at home and abroad that research company issues every year.
Color：Whether be this vehicle leading color, poster colour, or personalized, representative other color.
Service life：In units of year.
Use mileage：The milimeter number of the enforcement of vehicle every year, it is too high, too low all bad.
Successive car owner's number：Often drive the number of this vehicle, and the buyer after the transaction of the vehicle number.
Vehicle property：It is 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 100,000 kilometers of guarantee.
Whether insurance is continuous：If discontinuous, 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 maintenance prompt time and lack guarantor
Foster number of times.
Maintenance frequency：The situation of the number of times of maintenance and the vehicle in front of maintenance.
Claim frequencies：Insurance company, which is in danger, compensates the number of times of the vehicle and other people vehicles.
The insurance claim amount of money：Insurance company is in danger the amount of money of reparation.
Record is recalled by producer：It is divided into without recalling that record, non-powered core component are recalled, power core part is recalled.
Detection scoring：Chinese third party testing agency Yi Chache scoring, its examination scope includes Static Detection
(vehicle body, car light, interior trim, cabin, waist, chassis, boot, driving cabin) and dynamic detection (start and the examination of road),
Detect whether to burn car, bubble car and major accident car, each is divided into some tiny item check and evaluation marking (higher cars of score value
Condition is better).
Accident, which is escaped, to be recorded：Whether accident escape was occurred.
Fake-licensed car is recorded：Whether the record of deck was occurred.
Robber robs car record：Whether there is being stolen the record robbed.
Mortgage mark record：Whether the record of mortgaged was occurred.
Wherein, the data content of the second database can be found in following form：
| Type | Grade | Valuation coefficient |
| One-level-good | It is first-class | 1.1 |
| One-level-good | It is second-class | 1.05-11 |
| One-level-good | It is 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-level-poor | Seven etc. | 0.85-0.9 |
| Three-level-poor | Eight etc. | 0.8-0.85 |
| Three-level-poor | Nine etc. | 0.8 |
Table 5
The second data processing module of the present invention exports the valuation coefficient b with the second Data Matching according to the second database,
That is the second data processing module according to table 1~5 export with the valuation coefficient b of the second Data Matching, wherein, the second data
Valuation coefficient b points of storehouse are three-level, every grade be divided into it is third, totally nine etc., the valuation coefficient b of the data processing module output be with
Valuation coefficient in the corresponding minimum first-class table 5 of table 1~4.
The present invention is belonged to by above-mentioned brand, car date, current driving mileage, the parameter of new car price is purchased, by used car
Price carry out preliminary valuation, and again by other more sophisticated categories by wooden barrel away from drawing its corresponding grade so that
Draw its corresponding valuation coefficient.So, user can be combined preliminary valuation with valuation coefficient, obtained used car and really estimated
Value.The evaluation criterion for the condition of one car of used car one of veritably having fitted.
Wherein, the brand ownership can be divided into：In system of Japan and Korea S, American-European system, domestic system, first database：
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%；
The allowance for depreciation of more than 10 years of system of Japan and Korea S is 85%；
The allowance for depreciation of the 1st~3 year of America and Europe system is annual 13.6%；
The allowance for depreciation of the 4th~7 year of America and Europe system is annual 7.86%；
The allowance for depreciation of the 8th~10 year of America and Europe system is annual 4.25%；
The allowance for depreciation of more than 10 years of America and Europe system is 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%；
The allowance for depreciation of more than 10 years of domestic system is 85%.
Wherein, each time allowance for depreciation is stepping by the beginning of the month monthly, the middle of the month, the end of month, i.e. the of system of Japan and Korea S new car purchase
The allowance for depreciation about 0.395% of 1 year, every 1/3 month.
The present invention is by the division of above-mentioned allowance for depreciation, and car fare can be floated most soon 10 years are according to being small at both ends and big in the middle
3-4-3 carries out the calculating of depreciation.And retain car fare 15% be used as its residual value, i.e. using 11 years or 12 years vehicles according to
It is old to use the 15% of its new car fare to be used as its depreciated residual value.
Preferably, first data are also including the use of mileage, and first data processing module makes according to following year
Corresponding regulation coefficient d is exported with mileage, the year, the appraisal was defeated using the milimeter number that mileage is that vehicle is exercised every year on average
Depanning root tuber exports the second valuation c as follows according to the first valuation a, valuation coefficient b and regulation coefficient d,
Year is 0.9% using below mileage 1000KM regulation coefficient d；
Year is 0.003% using mileage 1000KM~5000KM regulation coefficient d；
Year is 0% using mileage 5000KM~40000KM regulation coefficient d；
Year is 0.01% using mileage 40000KM~50000KM regulation coefficient d；
Year is 0.02% using mileage 50000KM~60000KM regulation coefficient d；
Year is 0.02% using mileage 60000KM~70000KM regulation coefficient d；
Year is 2.20% using mileage 70000KM~80000KM regulation coefficient d；
Year is 2.50% using mileage 80000KM~90000KM regulation coefficient d；
Year is 3.00% using more than mileage 90000KM regulation coefficient d；
A × (1-d) × b=c.
The present invention detected by the enforcement course for the vehicle so that extrapolate the vehicle frequency of use whether
Rationally, in principle, frequency of use is excessive or too small can all influence the service life of engine, therefore estimating as used car
Valency coefficient can make the appraisal of used car more reasonable.
Preferably, first data are also including the use of mileage, and first data processing module makes according to following year
Corresponding mileage depreciation valuation coefficient a is exported with mileage2, the milimeter number that the year is exercised every year on average using mileage for vehicle,
The appraisal output module is according to the first valuation a, valuation coefficient b and time depreciation valuation coefficient a1, mileage depreciation valuation coefficient a2
The second valuation c is exported as follows,
Year is 0.9% using below mileage 1000KM mileage depreciation valuation coefficient a2；
Year is 0.003% using mileage 1000KM~5000KM mileage depreciation valuation coefficient a2；
Year is 0% using mileage 5000KM~40000KM mileage depreciation valuation coefficient a2；
Year is 0.01% using mileage 40000KM~50000KM mileage depreciation valuation coefficient a2；
Year is 0.02% using mileage 50000KM~60000KM mileage depreciation valuation coefficient a2；
Year is 0.02% using mileage 60000KM~70000KM mileage depreciation valuation coefficient a2；
Year is 2.20% using mileage 70000KM~80000KM mileage depreciation valuation coefficient a2；
Year is 2.50% using mileage 80000KM~90000KM mileage depreciation valuation coefficient a2；
Year is 3.00% using more than mileage 90000KM mileage depreciation valuation coefficient a2；
a×(1-a1-a2) × b=c.
Wherein time depreciation valuation coefficient a1Computational methods be conventional meanses, do not repeat herein.
The present invention detected by the enforcement course for the vehicle so that extrapolate the vehicle frequency of use whether
Rationally, in principle, frequency of use is excessive or too small can all influence the service life of engine, therefore estimating as used car
Valency coefficient can make the appraisal of used car more reasonable.
Preferably, the valuation coefficient adjustment module is according to the machine oil of vehicle, gear box oil, brake fluid, anti-icing fluid, steering
Power-assisted oil, tooth form timing transmission band, tooth form timing transmission belt tensioner pulley, air cleaner, air-conditioning filter cleaner, oil filter,
Fuel filter, spark plug, brake lining, clutch disc, tire, remote controller battery, bulb, Wiper blade, battery, guarantor
Dangerous silk and common relay, engine, speed changer, steering, brakes, starter, valve oil seal, ignition coil, machine
Oil pump, petrol pump, water pump, hydraulic damper, air damping spring, air bag hairspring, steering machine assembly, track rod press data
Corresponding decision condition output adjustment coefficient r in storehouse.
The present invention judges influence of each parts for the valuation of vehicle by the decision condition in database, so that
Output adjustment coefficient r, the valuation of vehicle is adjusted with the life cycle for parts exactly.
Wherein, the decision condition in database is as shown in the table.
For example, FAW-Volkswagen's Bora purchase 4 years 55000 kilometers of distance travelleds of car, the mode such as three-level nine car fare is 60000 yuan,
It was found that general machine oil defects liability period then detained 0.01 coefficient more than 10 days；And gearbox oil replacing shifts to an earlier date 5000 public affairs at 54000 kilometers
In handle, then plus 0.02 coefficient, there are 500 kilometers of situations of exceeding the time limit in face air-filter replacement, then detain 0.01 coefficient；Core component
It is untreated that minor failure once occurred before 2 months in engine, detains 0.01 coefficient；Starter was changed at 9 months 2 years,
Then plus 0.01 coefficient
To sum up each index service condition, the car fare 60000X such as car fare=three-level nine (1-0.01+0.02-0.01- after must adjusting
0.01+0.01)=60000X (1-0)=60000 yuan
Regulation coefficient r computational methods
J=1 correspondence automobile original papers are core members, and j=2 correspondence automobile original papers are that general part j=3 correspondences automobile original paper is easy
Wearing detail j=4 correspondence automobile original papers are maintenance part.
βiImportance of the reflection correspondence original paper in vehicle, γiFor single original paper fixed adjustment coefficient.
In the present invention, because the species of parts is more, so according to the substantially valuation of vehicle, i.e. initial valuation c, come
All parts are determined a need for all to detect.
A. when initial valuation c is about less than 100,000 yuan of car, only according to core members output adjustment coefficient r,
That is ωi1=1；ωi2=ωi3=ωi4=0；
The service condition of the most crucial parts of vehicle can be so considered in the case of low cost as far as possible, to inform
Risk；
B. when initial valuation is about 100,000 to 400,000 car, because the value of vehicle is higher, more it is necessary many detections
The life cycle of other parts, therefore detection core members, general part and output adjustment coefficient；That is ωi1=ωi2=1；ωi3
=ωi4=0；
C. when initial valuation is about 400,000 to 1,000,000 car, detection core members, easy wearing detail, general part and export
Regulation coefficient r；That is ωi1=ωi2=ωi3=1；ωi4=0；
D. when initial valuation is about more than 1,000,000, according to core members, easy wearing detail, general part, maintenance part life
Cycle output adjustment coefficient r.ωi1=ωi2=ωi3=ωi4=1.
Preferably, the valuation coefficient adjustment module judges to show as follows according to the second valuation c and always using mileage u
Show recommendation coefficient v,
Wherein, C0For automobile total price and C0- c is amount of depreciation.θ is every kilometer of allowance for depreciation of automobile, and u is vehicle driving mileage；
NdEngine failure number of times, NTFor the ratio of automobile total failare number of times,Reflect healthy journey of the engine relative to vehicle
Degree.
V reflections are to estimate index at a discount and travelling the contrast situation between index of converting into money.Consider in careful property,
Maximum is taken in both.
When it is more than 0 and less than or equal to 3.1 that coefficient v is recommended in display, valuation coefficient adjustment module passes through data processing mould
The title that block is more than 0.01 to user terminal output adjustment coefficient r and/or regulation coefficient r is the parts below -0.01；
When it is more than 3.1 and less than or equal to 7.1 that coefficient v is recommended in display, valuation coefficient adjustment module passes through data processing
The title that module is more than 0.02 to user terminal output adjustment coefficient r and/or regulation coefficient r is the parts below -0.02；
When it is more than 7.1 that coefficient v is recommended in display, valuation coefficient adjustment module is by data processing module to user terminal
The title that output adjustment coefficient r is more than 0.03 and/or regulation coefficient r is the parts below -0.03.
Embodiment described above is only that the preferred embodiment of the present invention is described, not to the model of the present invention
Enclose and be defined, on the premise of design spirit of the present invention is not departed from, technical side of the those of ordinary skill in the art to the present invention
In various modifications and improvement that case is made, the protection domain that claims of the present invention determination all should be fallen into.
Claims (4)
1. motor vehicle risk and valve estimating system based on parts life cycle, it is characterised in that：Including
The grade dynamic data valuation device of three-level nine, its first data according to vehicle, second the second valuation of data output c；
Valuation coefficient adjustment module, it is according to the service condition output adjustment coefficient r of the parts of vehicle；
Data processing module, it exports the 3rd valuation s of vehicle according to equation below,
S=c × (1+r).
2. motor vehicle risk and valve estimating system according to claim 1 based on parts life cycle, its feature
It is：The valuation coefficient adjustment module is according to the machine oil of vehicle, gear box oil, brake fluid, anti-icing fluid, power steering oil, tooth
Shape timing transmission band, tooth form timing transmission belt tensioner pulley, air cleaner, air-conditioning filter cleaner, oil filter, fuel cleaning
Device, spark plug, brake lining, clutch disc, tire, remote controller battery, bulb, Wiper blade, battery, fuse and general
Logical relay, engine, speed changer, steering, brakes, starter, valve oil seal, ignition coil, lubricating oil pump, gasoline
Pump, water pump, hydraulic damper, air damping spring, air bag hairspring, steering
Machine assembly, track rod press corresponding decision condition output adjustment coefficient r in database.
3. motor vehicle risk and valve estimating system according to claim 2 based on parts life cycle, its feature
It is：The valuation coefficient adjustment module is according to the second valuation c regulation coefficient r computational methods as follows
J=1 correspondence automobile original papers are core members, and j=2 correspondence automobile original papers are that general part j=3 correspondences automobile original paper is easy loss
Part j=4 correspondence automobile original papers are maintenance part.
βiImportance of the reflection correspondence original paper in vehicle, γiFor single original paper fixed adjustment coefficient；
When initial valuation c is about less than 100,000 yuan of car, ωi1=1；ωi2=ωi3=ωi4=0；
When initial valuation is about 100,000 to 400,000 car, ωi1=ωi2=1；ωi3=ωi4=0；
When initial valuation is about 400,000 to 1,000,000 car, detection core members, easy wearing detail, general part and output adjustment
Coefficient r；That is ωi1=ωi2=ωi3=1；ωi4=0；
D. when initial valuation is about more than 1,000,000, ωi1=ωi2=ωi3=ωi4=1.
4. motor vehicle risk and valve estimating system according to claim 2 based on parts life cycle, its feature
It is：The valuation coefficient adjustment module judges that coefficient is recommended in display as follows according to the second valuation c and always using mileage u
V,
<mrow>
<mi>v</mi>
<mo>=</mo>
<mi>m</mi>
<mi>a</mi>
<mi>x</mi>
<mo>{</mo>
<mfrac>
<mrow>
<msub>
<mi>C</mi>
<mn>0</mn>
</msub>
<mo>-</mo>
<mi>c</mi>
</mrow>
<mn>10</mn>
</mfrac>
<mo>,</mo>
<mfrac>
<mrow>
<mi>&theta;</mi>
<mi>u</mi>
</mrow>
<mn>10</mn>
</mfrac>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>-</mo>
<mfrac>
<msub>
<mi>N</mi>
<mi>d</mi>
</msub>
<msub>
<mi>N</mi>
<mi>T</mi>
</msub>
</mfrac>
<mo>)</mo>
</mrow>
<mo>}</mo>
</mrow>
Wherein, C0For automobile total price and C0- c is amount of depreciation；
θ is every kilometer of allowance for depreciation of automobile；U is vehicle driving mileage；
NdEngine failure number of times；
NTFor the ratio of automobile total failare number of times；
Reflect health degree of the engine relative to vehicle；
V reflections are to estimate index at a discount and travelling the contrast situation between index of converting into money；
When it is more than 0 and less than or equal to 3.1 that coefficient v is recommended in display, valuation coefficient adjustment module by data processing module to
The title that user terminal output adjustment coefficient r is more than 0.01 and/or regulation coefficient r is the parts below -0.01；
When it is more than 3.1 and less than or equal to 7.1 that coefficient v is recommended in display, valuation coefficient adjustment module passes through data processing module
The title that to user terminal output adjustment coefficient r be more than 0.02 and/or regulation coefficient r is the parts below -0.02；
When it is more than 7.1 that coefficient v is recommended in display, valuation coefficient adjustment module is exported by data processing module to user terminal
The title that regulation coefficient r is more than 0.03 and/or regulation coefficient r is the parts below -0.03.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710221179.7A CN107133815A (en) | 2017-04-06 | 2017-04-06 | Motor vehicle risk and valve estimating system based on parts life cycle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710221179.7A CN107133815A (en) | 2017-04-06 | 2017-04-06 | Motor vehicle risk and valve estimating system based on parts life cycle |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107133815A true CN107133815A (en) | 2017-09-05 |
Family
ID=59716570
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710221179.7A Pending CN107133815A (en) | 2017-04-06 | 2017-04-06 | Motor vehicle risk and valve estimating system based on parts life cycle |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107133815A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108537572A (en) * | 2018-03-12 | 2018-09-14 | 上海为秀互联网科技有限公司 | A kind of the detection pricing method and service system of second-hand equipment |
| CN108681613A (en) * | 2018-07-13 | 2018-10-19 | 北京酷车易美网络科技有限公司 | A kind of vehicle history vehicle condition solution read apparatus |
| CN108919783A (en) * | 2018-07-13 | 2018-11-30 | 中车青岛四方机车车辆股份有限公司 | A kind of driving mechanism trouble-shooter and method |
| CN110942634A (en) * | 2019-12-11 | 2020-03-31 | 拉货宝网络科技有限责任公司 | Truck transportation safety coefficient evaluation method |
| CN113421107A (en) * | 2021-04-26 | 2021-09-21 | 上海霍普建筑设计事务所股份有限公司 | System and method for analyzing parking space value of ground depot |
| CN114943564A (en) * | 2022-06-13 | 2022-08-26 | 中国电信股份有限公司 | Method and device for determining value rise probability of vehicle disassembled part |
| CN116362778A (en) * | 2023-05-31 | 2023-06-30 | 鱼快创领智能科技(南京)有限公司 | Vehicle estimation method and system based on big data analysis |
| CN117035889A (en) * | 2023-08-08 | 2023-11-10 | 北京工业大学 | New energy vehicle residual value calculation method, device, electronic equipment and storage medium |
-
2017
- 2017-04-06 CN CN201710221179.7A patent/CN107133815A/en active Pending
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108537572A (en) * | 2018-03-12 | 2018-09-14 | 上海为秀互联网科技有限公司 | A kind of the detection pricing method and service system of second-hand equipment |
| CN108537572B (en) * | 2018-03-12 | 2022-06-03 | 上海为秀互联网科技有限公司 | Detection pricing method and service system of second-hand equipment |
| CN108681613A (en) * | 2018-07-13 | 2018-10-19 | 北京酷车易美网络科技有限公司 | A kind of vehicle history vehicle condition solution read apparatus |
| CN108919783A (en) * | 2018-07-13 | 2018-11-30 | 中车青岛四方机车车辆股份有限公司 | A kind of driving mechanism trouble-shooter and method |
| CN108919783B (en) * | 2018-07-13 | 2020-07-21 | 中车青岛四方机车车辆股份有限公司 | Driving mechanism fault diagnosis device and method |
| CN110942634A (en) * | 2019-12-11 | 2020-03-31 | 拉货宝网络科技有限责任公司 | Truck transportation safety coefficient evaluation method |
| CN113421107A (en) * | 2021-04-26 | 2021-09-21 | 上海霍普建筑设计事务所股份有限公司 | System and method for analyzing parking space value of ground depot |
| CN114943564A (en) * | 2022-06-13 | 2022-08-26 | 中国电信股份有限公司 | Method and device for determining value rise probability of vehicle disassembled part |
| CN116362778A (en) * | 2023-05-31 | 2023-06-30 | 鱼快创领智能科技(南京)有限公司 | Vehicle estimation method and system based on big data analysis |
| CN117035889A (en) * | 2023-08-08 | 2023-11-10 | 北京工业大学 | New energy vehicle residual value calculation method, device, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107133815A (en) | Motor vehicle risk and valve estimating system based on parts life cycle | |
| Hartman | Product quality and market efficiency: The effect of product recalls on resale prices and firm valuation | |
| Knittel et al. | The welfare impact of indirect pigouvian taxation: Evidence from transportation | |
| Nallusamy et al. | Reliability analysis of passenger transport vehicles in public sector undertaking | |
| CN106022828A (en) | Apparatus and method for estimating three-stage nine-level dynamic data of motor vehicle | |
| CN106127650A (en) | Motor vehicles scraps judgment means and method | |
| Gaffey | The productivity of labor in the rubber tire manufacturing industry | |
| Afraah et al. | Comparing total cost of ownership of electric and conventional motorcycles in Indonesia | |
| Johansson et al. | Price‐quality relationship and trade barriers | |
| McDonald | Don't TREAD on Me: Faster Than a Tire Blowout, Congress Passes Wide-Sweeping Legislation That Treads on the Thirty-Five Year Old Motor Vehicle Safety Act | |
| Preda et al. | Considerations on Green Public Procurement of Coaches | |
| McDonald | Separations, blow-outs, and fallout: a treadise on the regulatory aftermath of the ford-firestone tire recall | |
| Pratt et al. | The efficacy of state mandated minimum quality certification: The case of used vehicles | |
| McDonald | Do auto recalls benefit the public | |
| Preda | Calculation of Life Cycle Costs in Green Procurement of Passenger Cars from Romania | |
| Bae et al. | Information transmission and vehicle recalls: The role and regulation of recall notification letters | |
| CN106934521A (en) | A kind of product oil price subsidies computational methods and system based on fuel consumption in vehicles amount quota | |
| Purnamawati et al. | The Correlation between Vehicle Age and Vehicle Operating Cost of Public Transportation in Banjar Regency | |
| Jagadeesh | Ford and Recalls-are they inseparable? | |
| Nager | Auto recalls and the pursuit of safety: A commonsense approach | |
| Lutsey et al. | Assessment of tire technologies and practices for potential waste and energy use reductions | |
| Ruse | Fitting Automotive Diagnostic Systems into Current Socio-Economics | |
| Newstead et al. | Research on the Safety Implications of Taxi and Hire Care Age Limit Restrictions | |
| Colton et al. | Motor Vehicle Inspection and Motor Vehicle Accident Mortality | |
| Page et al. | Roadside alligators, retread tyres and tyre debris surveys-insights for the Southern African transport community |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170905 |
|
| RJ01 | Rejection of invention patent application after publication |