CN104750964A - Vehicle state determining method and vehicle state determining device - Google Patents
Vehicle state determining method and vehicle state determining device Download PDFInfo
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Abstract
The invention discloses a vehicle state determining method and a vehicle state determining device. The vehicle state determining method includes: acquiring data information related to a vehicle from various data platforms, wherein the data information related to the vehicle at least comprises vehicle part information, vehicle insurance information, vehicle fault information and vehicle driving amount information; analyzing the acquired data information related to the vehicle, determining a residual life score, an insurance score, a fault score and a driving state score of the vehicle on the basis of a same set initial score, determining a current total state score of the vehicle by means of weighted summation, and determining the current state of the vehicle according to the current total state score. The vehicle state determining method and the vehicle state determining device have the advantages that the current state of the vehicle can be analyzed comprehensively from multiple dimensions according to the data information related to the vehicle and acquired from the various data platforms, so that accuracy of vehicle state analysis can be improved, and a user's purpose of improving vehicle state evaluation precision is achieved.
Description
Technical field
The present invention relates to car networking technology field, particularly relate to a kind of vehicle-state defining method and device.
Background technology
Along with the development of society, the motor vehicles such as automobile become the life necessary article of more and more user gradually, and correspondingly, the used car trade market relevant to motor vehicles such as automobiles have also been obtained to be developed comparatively rapidly.
Particularly, user, when carrying out the dealing of used car, needs the information such as the vehicle-state obtaining used car in advance usually, to carry out state estimation according to the vehicle-state of the used car got to each used car and then to select suitable used car to conclude the business.At present, industry adopts the vehicle information according to storing in existing motor vehicle register information management system usually, assesses the vehicle-state of used car.Wherein, described motor vehicle register information management system is arranged according to motor vehicle registration method, and the information of wherein registered motor vehicle can comprise following content usually:
The proprietary name of motor vehicle (or organization), ID (identity number) card No. (or Unit code), home address, postcode and telephone number; The type of motor vehicle, manufacturing plant, brand, model, VIN (or cycle serial number), engine number and body color; The title of the relevant technologies data of motor vehicle, character of use, acquisition pattern, the title of origin voucher and the import voucher of numbering and IMPORTED MOTOR VEHICLE and numbering; Title, the numbering of the tax payment of motor vehicle purchase tax or duty free certificate; The title of the kind that motor vehicle is handled insurance, the date of insurance and insurance company; The title of motor vehicle marketing unit or trade market and motor vehicle selling price, and, the information such as the date of motor vehicle registration registration.
Particularly, user, when handling motor vehicle transfer, can obtain above-mentioned each information by inquiring about described motor vehicle register information management system.But, it can be seen from the above, the information of the associated vehicle stored in described motor vehicle register information management system is too simply, only for reflecting the essential information of this vehicle at business or legal perspective, objective and accurate assessment cannot be carried out to the using state of motor vehicle according to above-mentioned essential information, therefore, cause the assessment of user to vehicle-state to be inaccurate, reduce the experience of user.
Summary of the invention
Embodiments provide a kind of vehicle-state defining method and device, in order to solve the problem be inaccurate to the assessment of vehicle-state existed at present.
Embodiments provide a kind of vehicle-state defining method, comprising:
From the data message that each data platform collection is relevant to vehicle, wherein, described relevant to the vehicle data message collected at least comprises the components information of vehicle itself, car insurance information, vehicle trouble messages and vehicle driving consumption information;
The data message relevant to vehicle described in collecting is analyzed, based on the same original state score value set, determines the residual life state score of vehicle, safety position score value, malfunction score value and transport condition state score respectively;
According to the residual life state score of the described vehicle determined, safety position score value, malfunction score value and transport condition state score, adopt the mode of weighted sum, determine the total score value of state that described vehicle is current, and the state total score value current according to the described vehicle determined, determine the current state of described vehicle.
Further, the data message relevant to vehicle described in collecting is analyzed, based on the same original state score value set, determines the residual life state score of vehicle, comprising:
According to data message relevant to vehicle described in collecting, the life-span of setting tired algorithm is adopted to calculate the current residual life-span of the engine of described vehicle, chassis, vehicle body and vehicle electric electric system;
According to the current residual life-span of the described engine calculated, chassis, vehicle body and vehicle electric electric system, and the engine of the described vehicle extracted from data message relevant to vehicle described in collecting, chassis, vehicle body and vehicle electric electric system entire life when dispatching from the factory, adopt following formula, calculate the residual life state score W of described vehicle:
W=(a1*a/A+b1*b/B+c1*c/C+d1*d/D)*S1；
Wherein, described A, B, C, D are respectively the entire life when engine of described vehicle, chassis, vehicle body and vehicle electric electric system dispatch from the factory; Described a, b, c, d be respectively calculate described engine, chassis, vehicle body and vehicle electric electric system the current residual life-span; Described a1, b1, c1, d1 are respectively life-span weight corresponding to described engine, chassis, vehicle body and vehicle electric electric system, and described S1 is the same original state score value of described setting.
Further, the data message relevant to vehicle described in collecting is analyzed, based on the same original state score value set, determines the safety position score value of vehicle, comprising:
According to data message relevant to vehicle described in collecting, determine the total degree that is in danger of described vehicle, total charge of insuring and reparation total charge;
According to the total degree that is in danger of the described vehicle determined, total charge of insuring and reparation total charge, adopt following formula, calculate the safety position score value X of described vehicle:
X={1/(1+N)*N1+（M2-M1）/M2*M3}*S1；
Wherein, described N is the total degree that is in danger of described vehicle, and described M1 is the reparation total charge of described vehicle, and described M2 is the total charge of insuring of described vehicle; Be in danger number of times and the insurance weight corresponding to insured amount of described N1, M3 described vehicle respectively, described S1 is the same original state score value of described setting.
Further, the data message relevant to vehicle described in collecting is analyzed, based on the same original state score value set, determines the malfunction score value of vehicle, comprising:
According to the order of severity of fault, fault is divided into R class fault level, and according to data message relevant to vehicle described in collecting, adds up the fault frequency that all kinds of fault level is corresponding;
The fault frequency corresponding according to all kinds of fault levels counted on and fault right weight corresponding to all kinds of fault level, adopt following formula, calculate the malfunction score value Y of described vehicle:
Y=∑{1/(1+hi)*Hi}*S1；
Wherein, described hi is the fault frequency that the i-th class fault level is corresponding, and described Hi is the fault right weight that the i-th class fault level is corresponding, and described S1 is the same original state score value of described setting.
Further, the data message relevant to vehicle described in collecting is analyzed, based on the same original state score value set, determines the transport condition state score of vehicle, comprising:
According to the order of severity of bad steering behavior, bad steering behavior is divided into P class driving behavior grade, and according to data message relevant to vehicle described in collecting, adds up the bad steering behavior number of times that all kinds of driving behavior grade is corresponding;
The bad steering behavior number of times corresponding according to all kinds of driving behavior grades determined, and the transport condition weight that all kinds of driving behavior grade is corresponding, adopt following formula to determine the transport condition state score Z of described vehicle:
Z=∑（1/(1+Drip)ip*S1；
Wherein, described Drip is bad steering behavior number of times corresponding to P class driving behavior grade, and described ip represents the transport condition weight that P class driving behavior grade is corresponding, and described S1 is the same original state score value of described setting.
Further, according to the residual life state score of the described vehicle determined, safety position score value, malfunction score value and transport condition state score, adopt the mode of weighted sum, determine to comprise the total score value of state that described vehicle is current:
According to the residual life state score of the described vehicle determined, safety position score value, malfunction score value and transport condition state score, adopt following formula, determine the total score value S of state that described vehicle is current:
S=Wi*W+Xi*X+Yi*Y+Zi*Z；
Wherein, described W, X, Y, Z are respectively the residual life state score of the described vehicle determined, safety position score value, malfunction score value and transport condition state score; Described Wi, Xi, Yi, Zi are respectively score value weight corresponding to the residual life state score of described vehicle, safety position score value, malfunction score value and transport condition state score.
Further, after the data message relevant to vehicle from each data platform collection, described method also comprises:
By data information memory relevant to vehicle described in collecting in this locality, wherein, when carrying out the storage of data message, the mode that employing information is added stores described vehicle and buys in that be registered to log off procedure, all registration record information about registering link from new car.
Correspondingly, the embodiment of the present invention additionally provides a kind of vehicle-state determining device, comprising:
Data acquisition module, for from each data platform collection data message relevant to vehicle, wherein, described relevant to the vehicle data message collected at least comprises the components information of vehicle itself, car insurance information, vehicle trouble messages and vehicle driving consumption information;
Data analysis module, for to described data collecting module collected to described in the data message relevant to vehicle analyze, based on the same original state score value of setting, determine the residual life state score of vehicle, safety position score value, malfunction score value and transport condition state score respectively;
State determining module, for the residual life state score of the described vehicle determined according to described data analysis module, safety position score value, malfunction score value and transport condition state score, adopt the mode of weighted sum, determine the total score value of state that described vehicle is current, and the state total score value current according to the described vehicle determined, determine the current state of described vehicle.
Further, described data analysis module, specifically for data message relevant to vehicle described in arriving according to described data collecting module collected, the life-span of setting tired algorithm is adopted to calculate the current residual life-span of the engine of described vehicle, chassis, vehicle body and vehicle electric electric system; And
According to the current residual life-span of the described engine calculated, chassis, vehicle body and vehicle electric electric system, and from described data collecting module collected to described in extract the data message relevant to vehicle the engine of described vehicle, chassis, vehicle body and vehicle electric electric system dispatch from the factory time entire life, adopt following formula, calculate the residual life state score W of described vehicle:
W=(a1*a/A+b1*b/B+c1*c/C+d1*d/D)*S1；
Wherein, described A, B, C, D are respectively the entire life when engine of described vehicle, chassis, vehicle body and vehicle electric electric system dispatch from the factory; Described a, b, c, d be respectively calculate described engine, chassis, vehicle body and vehicle electric electric system the current residual life-span; Described a1, b1, c1, d1 are respectively life-span weight corresponding to described engine, chassis, vehicle body and vehicle electric electric system, and described S1 is the same original state score value of described setting.
Further, described data analysis module, specifically for data message relevant to vehicle described in arriving according to described data collecting module collected, determine the total degree that is in danger of described vehicle, total charge of insuring and reparation total charge, and according to the total degree that is in danger of the described vehicle determined, total charge of insuring and reparation total charge, adopt following formula, calculate the safety position score value X of described vehicle:
X={1/(1+N)*N1+（M2-M1）/M2*M3}*S1；
Wherein, described N is the total degree that is in danger of described vehicle, and described M1 is the reparation total charge of described vehicle, and described M2 is the total charge of insuring of described vehicle; Be in danger number of times and the insurance weight corresponding to insured amount of described N1, M3 described vehicle respectively, described S1 is the same original state score value of described setting.
Further, described data analysis module, specifically for the order of severity according to fault, fault is divided into R class fault level, and data message relevant to vehicle described in arriving according to described data collecting module collected, add up the fault frequency that all kinds of fault level is corresponding; And,
The fault frequency corresponding according to all kinds of fault levels counted on and fault right weight corresponding to all kinds of fault level, adopt following formula, calculate the malfunction score value Y of described vehicle:
Y=∑{1/(1+hi)*Hi}*S1；
Wherein, described hi is the fault frequency that the i-th class fault level is corresponding, and described Hi is the fault right weight that the i-th class fault level is corresponding, and described S1 is the same original state score value of described setting.
Further, described data analysis module, specifically for the order of severity according to bad steering behavior, bad steering behavior is divided into P class driving behavior grade, and data message relevant to vehicle described in arriving according to described data collecting module collected, add up the bad steering behavior number of times that all kinds of driving behavior grade is corresponding; And,
The bad steering behavior number of times corresponding according to all kinds of driving behavior grades determined, and the transport condition weight that all kinds of driving behavior grade is corresponding, adopt following formula to determine the transport condition state score Z of described vehicle:
Z=∑（1/(1+Drip)ip*S1；
Wherein, described Drip is bad steering behavior number of times corresponding to P class driving behavior grade, and described ip represents the transport condition weight that P class driving behavior grade is corresponding, and described S1 is the same original state score value of described setting.
Further, described state determining module, specifically for the residual life state score of the described vehicle determined according to described data analysis module, safety position score value, malfunction score value and transport condition state score, adopt following formula, determine the total score value S of state that described vehicle is current:
S=Wi*W+Xi*X+Yi*Y+Zi*Z；
Wherein, described W, X, Y, Z are respectively the residual life state score of the described vehicle determined, safety position score value, malfunction score value and transport condition state score; Described Wi, Xi, Yi, Zi are respectively score value weight corresponding to the residual life state score of described vehicle, safety position score value, malfunction score value and transport condition state score.
Further, described vehicle-state determining device also comprises data memory module:
Described data memory module, for after the data message relevant to vehicle from each data platform collection, by data information memory relevant to vehicle described in collecting in this locality, wherein, when carrying out the storage of data message, the mode that employing information is added stores described vehicle and buys in that be registered to log off procedure, all registration record information about registering link from new car.
Beneficial effect of the present invention is as follows:
Embodiments provide a kind of vehicle-state defining method and device, described method comprises: from the data message that each data platform collection is relevant to vehicle, and the described data message relevant to vehicle at least comprises the components information of vehicle itself, car insurance information, vehicle trouble messages and vehicle driving consumption information; The data message relevant to vehicle described in collecting is analyzed, based on the same initial score value of setting, determine the residual life score value of vehicle, insurance score value, fault score value and transport condition score value, and according to the residual life score value of the described vehicle determined, insurance score value, fault score value and transport condition score value, the mode of weighted sum is adopted to determine the total score value of state that described vehicle is current, and, the current state of described vehicle is determined according to the total score value of described state.In technical scheme described in the embodiment of the present invention, due to can according to the data message relevant to vehicle collected from multiple data platform, comprehensively analyze from the current state of multiple dimension to vehicle, thus can reach improve vehicle state analysis accuracy, to improve the object of user to the degree of accuracy that vehicle-state is assessed.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, below the accompanying drawing used required in describing embodiment is briefly introduced, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Figure 1 shows that the schematic flow sheet of vehicle-state defining method described in the embodiment of the present invention one;
Figure 2 shows that the structural representation of vehicle-state determining device described in the embodiment of the present invention two.
Embodiment
Embodiments provide a kind of vehicle-state defining method and device, described method comprises: from the data message that each data platform collection is relevant to vehicle, and the described data message relevant to vehicle at least comprises the components information of vehicle itself, car insurance information, vehicle trouble messages and vehicle driving consumption information; The data message relevant to vehicle described in collecting is analyzed, based on the same initial score value of setting, determine the residual life score value of vehicle, insurance score value, fault score value and transport condition score value, and according to the residual life score value of the described vehicle determined, insurance score value, fault score value and transport condition score value, the mode of weighted sum is adopted to determine the total score value of state that described vehicle is current, and, the current state of described vehicle is determined according to the total score value of described state.In technical scheme described in the embodiment of the present invention, due to can according to the data message relevant to vehicle collected from multiple data platform, comprehensively analyze from the current state of multiple dimension to vehicle, thus can reach improve vehicle state analysis accuracy, to improve the object of user to the degree of accuracy that vehicle-state is assessed.
In order to make the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, the present invention is described in further detail, and obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making other embodiments all obtained under creative work prerequisite, belong to the scope of protection of the invention.
Embodiment one:
As shown in Figure 1, it is the schematic flow sheet of vehicle-state defining method described in the embodiment of the present invention one, described vehicle-state defining method is applicable to the fields such as the used car trade needing to carry out vehicle-state assessment, and the embodiment of the present invention is not limited in any way this.Particularly, described vehicle-state defining method can comprise the following steps:
Step 101: from the data message that each data platform collection is relevant to vehicle, wherein, described relevant to the vehicle data message collected at least can comprise components information, car insurance information, the information such as vehicle trouble messages and vehicle driving consumption information of vehicle itself.
Particularly, in embodiment of the present invention, real-time or the regular mode from each data message of each data platform active obtaining can be adopted, or the mode of each data platform of passive reception each data message that is real-time or that regularly send, gather described relevant to vehicle data message, the embodiment of the present invention is not limited in any way this.
Further, in embodiment of the present invention, at least by gathering described relevant to vehicle data message from vehicle place platform own, car insurance information platform, road management platform, vehicle 4S shop (comprising car load sale, spare and accessory parts, after sale service and the information feed back etc.) data platform such as information platform and motor vehicle register information management system platform, wherein:
The data message relevant to vehicle collected from vehicle place platform own can comprise: the components information of vehicle itself, as the engine information (comprising engine speed, intake air temperature, coolant temperature, admission pressure, crank angle and air-fuel ratio etc.) of vehicle, chassis information, vehicle body information and vehicle electric electric system information etc.; The running condition information of vehicle, as coordinate information corresponding in vehicle interior temperature, the outer temperature of car, the speed of a motor vehicle, Throttle Opening Control, brake control, humidity, pressure of tire, tire rotational speed, gear, water tank temperature and driving process, direction of traffic, car speed, time and driving trace etc.; The driving consumption information of vehicle, as car age, travels total kilometrage, the road section information of process and number of times, the number of times touched on the brake, average speed, average fuel consumption etc.; The OBD(On Board Diagnostics of vehicle, OBD) information, as engine transducing signal, cooling transducing signal, constant speed control signal and wheel box transducing signal etc.;
The data message relevant to vehicle collected from car insurance information platform can comprise: the title etc. of the kind that vehicle is handled insurance, the date of insurance and insurance company;
The data message relevant to vehicle collected from road management platform can comprise: vehicle the road network and road condition information etc. of process;
The data message relevant to vehicle collected from vehicle 4s shop information platform can comprise: vehicle trouble messages, member replacing information and maintenance and maintenance information etc.;
The data message relevant to vehicle collected from motor vehicle register information management system platform can comprise: everyone information of vehicle, vehicle essential information, source vehicle information, vehicle purchase information, car insurance information, vehicle registration recorded information, vehicle driving consumption information, vehicle appreciation information etc.Wherein, everyone information of vehicle can comprise proprietary name or organization, ID (identity number) card No. or Unit code, the address in residence, postcode and telephone number; Vehicle essential information can comprise the information such as character of use, acquisition pattern of type of vehicle, manufacturing plant, brand, model, VIN (or cycle serial number), engine number, body color, vehicle related technical data, vehicle; Source vehicle information can comprise the information such as title, numbering of the title of vehicle origin voucher, numbering and imported vehicle import voucher; The information such as title, numbering that information can comprise the title of 0vehicle marketing unit or trade market, 0vehicle marketing price, vehicle-purchase tax tax payment or duty free certificate purchased by vehicle; Car insurance information can comprise kind, the information such as the date of insurance and the title of insurance company that vehicle is handled insurance; Vehicle registration recorded information can comprise vehicle registration record date, the enrollment time of transferring ownership of a vehicle and content, vehicle to change enrollment time and content, vehicle and produce registration and proceed to enrollment time and content, vehicle mortgage registration and content, vehicle lay-off, revest drive and interim entrance registration time and the information such as enrollment time nullified by content, vehicle; Vehicle driving consumption information can comprise all use information of this vehicle, as road section information and number of times, the number of times touched on the brake, failure message, member replacing information, maintenance and the maintenance information etc. of mileage information, process; Vehicle appreciation information can comprise the vehicle motor degree of wear, service life of aeroengine, failure rate etc.
Further, after the data message relevant to vehicle from each data platform collection, described method can also comprise:
By data information memory relevant to vehicle described in collecting in this locality.Wherein, when carrying out the storage of data message, the information mode of (not covering old data) of adding can be adopted to store described vehicle buy in from new car and be registered to log off procedure, all vehicle registration recorded informations about registering link are (as above-mentioned vehicle registration record date, to transfer ownership of a vehicle enrollment time and content, vehicle to change enrollment time and content, vehicle produces registration and proceeds to enrollment time and content, vehicle mortgage registration and content, vehicle lay-off, revest drive and interim entrance registration time and content, the information such as enrollment time nullified by vehicle), during to avoid carrying out the storage of above-mentioned vehicle registration recorded information in existing motor vehicle register information management system, new registration record data cover old registration record data are caused the incomplete problem of vehicle registration recorded information, improve the integrality of vehicle registration recorded information.
Step 102: the data message relevant to vehicle described in collecting is analyzed, based on the same original state score value of setting, determine the residual life state score of vehicle, safety position score value, malfunction score value and transport condition state score respectively.
Particularly, because the state of vehicle is mainly by parameter influences such as vehicle ages, car insurance situation, vehicle trouble situation and vehicle travel situations, and, information of vehicles under above-mentioned four dimensions covers all relevant with the actual service condition information of whole vehicle substantially, therefore, in embodiment of the present invention, when estimating the state of vehicle, mainly carry out based on above-mentioned four dimensions.
Particularly, in embodiment of the present invention, the data message relevant to vehicle described in collecting is analyzed, based on the same original state score value set, determines the residual life state score of vehicle, can comprise:
According to data message (components information as vehicle itself) relevant to vehicle described in collecting, adopt the life-span of setting tired algorithm (as nominal stress method etc.) calculate as described in the engine of vehicle, chassis, the parts such as vehicle body and vehicle electric electric system the current residual life-span;
According to the current residual life-span of the parts such as the described engine calculated, chassis, vehicle body and vehicle electric electric system, and the engine of the described vehicle extracted from data message relevant to vehicle described in collecting, chassis, entire life when parts such as vehicle body and vehicle electric electric system dispatch from the factory, adopt following formula, calculate the residual life state score W of described vehicle:
W=(a1*a/A+b1*b/B+c1*c/C+d1*d/D)*S1；
Wherein, described A, B, C, D are respectively the engine of described vehicle, chassis, entire life when parts such as vehicle body and vehicle electric electric system dispatch from the factory; Described a, b, c, d be respectively calculate described engine, chassis, the parts such as vehicle body and vehicle electric electric system the current residual life-span; Described a1, b1, c1, d1 are respectively life-span weight (each life-span weight sum is 1) corresponding to the parts such as described engine, chassis, vehicle body and vehicle electric electric system, and described S1 is the same original state score value of described setting.
It should be noted that, because the life-span of vehicle is decided primarily of four Iarge-scale system such as vehicle motor, chassis, vehicle body and vehicle electric electric systems, therefore, in embodiment of the present invention, when carrying out the estimation of vehicle residual life, mainly carry out based on above-mentioned four dimensions, the embodiment of the present invention does not repeat this.It should be noted that again, in embodiment of the present invention, the life-span weight that the parts such as described engine, chassis, vehicle body and vehicle electric electric system are corresponding can carry out adjustment setting according to actual conditions, as different or mutual etc. equal in being set to, the embodiment of the present invention is not limited in any way this.
Further, in embodiment of the present invention, for the current residual life-span adopting nominal stress method to calculate the engine of described vehicle, chassis, the parts such as vehicle body and vehicle electric electric system, involved calculation procedure mainly can comprise:
(1) intensity distributions measures;
Measure the intensity distributions parameter of part and carry out test of hypothesis, for the S-N curve (i.e. the curve of fatigue) obtaining part is ready; Particularly, according to the test findings of static strength, can obtain average and the variance of Static Strength of Mechanical Parts, and apply the mensuration that lifting and lowering method carries out fatigue strength, calculate average and the variance of fatigue strength, wherein, static strength and fatigue strength belong to normal distribution.
According to the static strength limit measured and fatigue strength limit, determine the stress level progression of torture test and how many parts should be got carry out torture test under each stress level.The data acquisition Grubbs test method of torture test being carried out to the rejecting of abnormal data, then carrying out parameter estimation and test of hypothesis respectively to often organizing the test figure after removing abnormal data.
(2) matching of S-N curve and P-S-N curved surface;
Particularly, the matching of S-N curve can adopt two kinds of fit approach, when life-span obeys logarithm normal distribution, adopts NS
mthe fit approach of=C, adopts N(S-Sn when Weibull Distributed Units)
mthe curve mode of=C; Checked by related coefficient with least square method and existing approximating method matching distribution function, its linear correlation, after obtaining the curvilinear equation of the distribution parameter of two kinds of distributions, according to the probability density function of two kinds of distributions, one group of S-N curve when survival rate P is different value can be drawn, i.e. P-S-N curve.
(3) loading spectrum is generated;
According to the real work situation of auto parts under various road conditions, the various speed of a motor vehicle, form the data file of nominal load time history; The data of nominal load time history are sampled, simulating signal is converted into discrete data-signal, then stationarity and periodic survey are carried out to sample, sample is synthesized according to the proportion requirement of the different speed of a motor vehicle and road surface, generate the synthesis sample that can represent actual service condition; Compression process is carried out to load-time history, comprises the extraction of peak-to-valley value and the place to go of invalid amplitude, carry out two-parameter cycle count process with rain flow way, generate the Double Parameter Load Spectrum that amplitude obeys Weibull distribution, average obeys logarithm normal distribution.
(4) nominated stress strain method life prediction.
On the basis of static strength and Fatigue Strength Analysis result, carry out the analysis of Fatigue-life of part according to S-N curve and loading spectrum; Particularly, linear progressive damage rule can be applied to estimate the fatigue lifetime of part.
It should be noted that, except adopting above-mentioned nominal stress method, the life-span fatigue mechanisms method that other also can be adopted to set is to calculate the current residual life-span of the engine of described vehicle, chassis, the parts such as vehicle body and vehicle electric electric system, and the embodiment of the present invention is not limited in any way this.
Further, the data message relevant to vehicle described in collecting is analyzed, based on the same original state score value set, determines the safety position score value of vehicle, can comprise:
According to data message (as car insurance information) relevant to vehicle described in collecting, determine the total degree that is in danger of described vehicle, total charge of insuring and reparation total charge;
According to the total degree that is in danger of the described vehicle determined, total charge of insuring and reparation total charge, adopt following formula, calculate the safety position score value X of described vehicle:
X={1/(1+N)*N1+（M2-M1）/M2*M3}*S1；
Wherein, described N is the total degree that is in danger of described vehicle, and described M1 is the reparation total charge of described vehicle, and described M2 is the total charge of insuring of described vehicle; Be in danger number of times and the insurance weight corresponding to insured amount (each insurance weight sum is 1) of described N1, M3 described vehicle respectively, described S1 is the same original state score value of described setting.
It should be noted that, in embodiment of the present invention, be in danger number of times and the insurance weight corresponding to insured amount of described vehicle can carry out adjustment setting according to actual conditions, and as different or mutual etc. equal in being set to, the embodiment of the present invention is not limited in any way this.
Further, the data message relevant to vehicle described in collecting is analyzed, based on the same original state score value set, determines the malfunction score value of vehicle, can comprise:
According to the order of severity of fault, fault is divided into R class fault level, and according to data message (as vehicle driving consumption information or vehicle trouble messages) relevant to vehicle described in collecting, adds up the fault frequency that all kinds of fault level is corresponding;
The fault frequency corresponding according to all kinds of fault levels counted on and fault right weight corresponding to all kinds of fault level, adopt following formula, calculate the malfunction score value Y of described vehicle:
Y=∑{1/(1+hi)*Hi}*S1；
Wherein, described hi is the fault frequency that the i-th class fault level is corresponding, and described Hi is the fault right weight (each fault right weight sum is 1) that the i-th class fault level is corresponding, and described S1 is the same original state score value of described setting.
Particularly, in embodiment of the present invention, fault can be divided three classes fault level according to the order of severity of fault, first kind fault level is that fault more slightly, has only changed small part part; First kind fault level is that fault is comparatively serious, has changed the parts that number is more; First kind fault level is carried out a large amount of part replacement; And, suppose that the fault right weight that fault right weight is 20%, Equations of The Second Kind fault level is corresponding that first kind fault level is corresponding be the fault right weight that the 30%, three class fault level is corresponding is 50%, then correspondingly, now, the malfunction score value Y of the described vehicle calculated can be expressed as:
Y={1/(1+h1)*20%+1/(1+h2)*30%+1/(1+h3)*50%}*S1。
It should be noted that, in embodiment of the present invention, fault right weight corresponding to all kinds of fault level can carry out adjustment setting according to actual conditions, and as different or mutual etc. equal in being set to, the embodiment of the present invention is not limited in any way this.
Further, the data message relevant to vehicle described in collecting is analyzed, based on the same original state score value set, determines the transport condition state score of vehicle, can comprise:
According to the order of severity of bad steering behavior, bad steering behavior is divided into P class driving behavior grade, and according to data message (as vehicle driving consumption information) relevant to vehicle described in collecting, add up the bad steering behavior number of times that all kinds of driving behavior grade is corresponding;
The bad steering behavior number of times corresponding according to all kinds of driving behavior grades determined, and the transport condition weight that all kinds of driving behavior grade is corresponding, adopt following formula to determine the transport condition state score Z of described vehicle:
Z=∑（1/(1+Drip)ip*S1；
Wherein, described Drip is bad steering behavior number of times corresponding to P class driving behavior grade, described ip represents the transport condition weight (each transport condition weight sum is 1) that P class driving behavior grade is corresponding, and described S1 is the same original state score value of described setting.
It should be noted that, in embodiment of the present invention, transport condition weight corresponding to all kinds of driving behavior grade can carry out adjustment setting according to actual conditions, and as different or mutual etc. equal in being set to, the embodiment of the present invention is not limited in any way this.
Step 103: according to the residual life state score of the described vehicle determined, safety position score value, malfunction score value and transport condition state score, adopt the mode of weighted sum, determine the total score value of state that described vehicle is current, and the state total score value current according to the described vehicle determined, determine the current state of described vehicle.
Particularly, in embodiment of the present invention, according to the residual life state score of the described vehicle determined, safety position score value, malfunction score value and transport condition state score, adopt the mode of weighted sum, determine to comprise the total score value of state that described vehicle is current:
According to the residual life state score of the described vehicle determined, safety position score value, malfunction score value and transport condition state score, adopt following formula, determine the total score value S of state that described vehicle is current:
S=Wi*W+Xi*X+Yi*Y+Zi*Z；
Wherein, described W, X, Y, Z are respectively the residual life state score of the described vehicle determined, safety position score value, malfunction score value and transport condition state score; Described Wi, Xi, Yi, Zi are respectively score value weight (each score value weight sum is 1) corresponding to the residual life state score of described vehicle, safety position score value, malfunction score value and transport condition state score.
It should be noted that, in embodiment of the present invention, the score value weight that the residual life state score of described vehicle, safety position score value, malfunction score value and transport condition state score are corresponding can carry out adjustment setting according to actual conditions, as different or mutual etc. equal in being set to, the embodiment of the present invention is not limited in any way this.Such as, in embodiment of the present invention, score value weight corresponding to the residual life state score of described vehicle, safety position score value, malfunction score value and transport condition state score can be set to 25% respectively, the embodiment of the present invention does not repeat this.
Further, after obtaining the total score value of the current state of described vehicle, the total score value of state that can be current according to the described vehicle determined, determines the current state of described vehicle.The total score value S of state as current when vehicle as described in determining is not less than 80%*S1(first threshold) time, can determine that described vehicle is in excellent condition; When the total score value S of the state that the described vehicle determined is current is not less than 50%(Second Threshold) but when being less than 80%*S1, can determine that described vehicle is in fair state; When the total score value S of the state that the described vehicle determined is current is less than 50%*S1, can determine that described vehicle is in poor state, the embodiment of the present invention is not limited in any way this.
The embodiment of the present invention one provides a kind of vehicle-state defining method and device, described method comprises: from the data message that each data platform collection is relevant to vehicle, and the described data message relevant to vehicle at least comprises the components information of vehicle itself, car insurance information, vehicle trouble messages and vehicle driving consumption information; The data message relevant to vehicle described in collecting is analyzed, based on the same initial score value of setting, determine the residual life score value of vehicle, insurance score value, fault score value and transport condition score value, and according to the residual life score value of the described vehicle determined, insurance score value, fault score value and transport condition score value, the mode of weighted sum is adopted to determine the total score value of state that described vehicle is current, and, the current state of described vehicle is determined according to the total score value of described state.In technical scheme described in the embodiment of the present invention, due to can according to the data message relevant to vehicle collected from multiple data platform, comprehensively analyze from the current state of multiple dimension to vehicle, thus can reach improve vehicle state analysis accuracy, to improve the object of user to the degree of accuracy that vehicle-state is assessed.
Have again, due in embodiment of the present invention, when carrying out the storage of data message, the information mode of (not covering old data) of adding can be adopted to store described vehicle buy in from new car and be registered to log off procedure, all vehicle registration recorded informations about registering link, thus also can reach when avoiding carrying out the storage of above-mentioned vehicle registration recorded information in existing motor vehicle register information management system, new registration record data cover old registration record data are caused the incomplete problem of vehicle registration recorded information, on the basis of integrality of improving vehicle registration recorded information, reach the object of the accuracy improving vehicle state estimation further.
Embodiment two:
As shown in Figure 2, it is the structural representation of vehicle-state determining device described in the embodiment of the present invention two, described vehicle-state determining device is applicable to the fields such as the used car trade needing to carry out vehicle-state assessment, and the embodiment of the present invention is not limited in any way this.Particularly, described vehicle-state determining device can comprise data acquisition module 11, data analysis module 12 and state determining module 13, wherein:
Described data acquisition module 11 can be used for from each data platform collection data message relevant to vehicle, wherein, described relevant to the vehicle data message collected at least comprises components information, car insurance information, the information such as vehicle trouble messages and vehicle driving consumption information of vehicle itself;
Described in described data analysis module 12 can be used for collecting described data acquisition module 11, the data message relevant to vehicle is analyzed, based on the same original state score value of setting, determine the residual life state score of vehicle, safety position score value, malfunction score value and transport condition state score respectively;
Described state determining module 13 can be used for the residual life state score of the described vehicle determined according to described data analysis module 12, safety position score value, malfunction score value and transport condition state score, adopt the mode of weighted sum, determine the total score value of state that described vehicle is current, and the state total score value current according to the described vehicle determined, determine the current state of described vehicle.
Particularly, in embodiment of the present invention, described data acquisition module 11 can be used for adopting in real time or the regular mode from each data message of each data platform active obtaining, or the mode of each data platform of passive reception each data message that is real-time or that regularly send, gather described relevant to vehicle data message, the embodiment of the present invention is not limited in any way this.
Further, in embodiment of the present invention, described data acquisition module 11 is at least by gathering described relevant to vehicle data message from data platforms such as vehicle place platform own, car insurance information platform, road management platform, vehicle 4S shop information platform and motor vehicle register information management system platforms, and the embodiment of the present invention is not also limited in any way this.
Further, data message relevant to vehicle described in described data analysis module 12 specifically can be used for collecting according to described data acquisition module 11, adopt the life-span of setting tired algorithm (as nominal stress method etc.) calculate as described in the engine of vehicle, chassis, vehicle body and vehicle electric electric system the current residual life-span; And according to current residual life-span of the described engine calculated, chassis, vehicle body and vehicle electric electric system, and from described data collecting module collected to described in extract the data message relevant to vehicle the engine of described vehicle, chassis, vehicle body and vehicle electric electric system dispatch from the factory time entire life, adopt following formula, calculate the residual life state score W of described vehicle:
W=(a1*a/A+b1*b/B+c1*c/C+d1*d/D)*S1；
Wherein, described A, B, C, D are respectively the entire life when engine of described vehicle, chassis, vehicle body and vehicle electric electric system dispatch from the factory; Described a, b, c, d be respectively calculate described engine, chassis, vehicle body and vehicle electric electric system the current residual life-span; Described a1, b1, c1, d1 are respectively life-span weight corresponding to described engine, chassis, vehicle body and vehicle electric electric system, and described S1 is the same original state score value of described setting;
Or, specifically can be used for data message relevant to vehicle described in collecting according to described data acquisition module 11, determine the total degree that is in danger of described vehicle, total charge of insuring and reparation total charge, and according to the total degree that is in danger of the described vehicle determined, total charge of insuring and reparation total charge, adopt following formula, calculate the safety position score value X of described vehicle:
X={1/(1+N)*N1+（M2-M1）/M2*M3}*S1；
Wherein, described N is the total degree that is in danger of described vehicle, and described M1 is the reparation total charge of described vehicle, and described M2 is the total charge of insuring of described vehicle; Be in danger number of times and the insurance weight corresponding to insured amount of described N1, M3 described vehicle respectively, described S1 is the same original state score value of described setting;
Or, specifically can be used for, according to the order of severity of fault, fault is divided into R class fault level, and data message relevant to vehicle described in collecting according to described data acquisition module 11, add up the fault frequency that all kinds of fault level is corresponding, and, the fault frequency corresponding according to all kinds of fault levels counted on and fault right weight corresponding to all kinds of fault level, adopt following formula, calculate the malfunction score value Y of described vehicle:
Y=∑{1/(1+hi)*Hi}*S1；
Wherein, described hi is the fault frequency that the i-th class fault level is corresponding, and described Hi is the fault right weight that the i-th class fault level is corresponding, and described S1 is the same original state score value of described setting;
Or, specifically can be used for, according to the order of severity of bad steering behavior, bad steering behavior is divided into P class driving behavior grade, and data message relevant to vehicle described in collecting according to described data acquisition module 11, add up the bad steering behavior number of times that all kinds of driving behavior grade is corresponding, and, the bad steering behavior number of times corresponding according to all kinds of driving behavior grades determined, and the transport condition weight that all kinds of driving behavior grade is corresponding, adopt following formula to determine the transport condition state score Z of described vehicle:
Z=∑（1/(1+Drip)ip*S1；
Wherein, described Drip is bad steering behavior number of times corresponding to P class driving behavior grade, and described ip represents the transport condition weight that P class driving behavior grade is corresponding, and described S1 is the same original state score value of described setting.
Further, described state determining module 13 specifically can be used for the residual life state score of the described vehicle determined according to described data analysis module 12, safety position score value, malfunction score value and transport condition state score, adopt following formula, determine the total score value S of state that described vehicle is current:
S=Wi*W+Xi*X+Yi*Y+Zi*Z；
Wherein, described W, X, Y, Z are respectively the residual life state score of the described vehicle determined, safety position score value, malfunction score value and transport condition state score; Described Wi, Xi, Yi, Zi are respectively score value weight corresponding to the residual life state score of described vehicle, safety position score value, malfunction score value and transport condition state score.
It should be noted that, in embodiment of the present invention, involved each weighted value all can carry out adjustment setting according to actual conditions, and the embodiment of the present invention is not limited in any way this.
Further, described vehicle-state determining device can also comprise data memory module 14, wherein:
After described data memory module 14 is used in the data message relevant to vehicle from each data platform collection, by data information memory relevant to vehicle described in collecting in this locality, wherein, when carrying out the storage of data message, the mode of employing information interpolation (not covering old data) stores described vehicle and buys in that be registered to log off procedure, all registration record information about registering link from new car, to reach the object of the integrality improving vehicle registration recorded information.
The embodiment of the present invention two provides a kind of vehicle-state determining device, in technical scheme described in the embodiment of the present invention, due to can according to the data message relevant to vehicle collected from multiple data platform, comprehensively analyze from the current state of multiple dimension to vehicle, thus can reach improve vehicle state analysis accuracy, to improve the object of user to the degree of accuracy that vehicle-state is assessed.
Have again, due in embodiment of the present invention, when carrying out the storage of data message, the information mode of (not covering old data) of adding can be adopted to store described vehicle buy in from new car and be registered to log off procedure, all vehicle registration recorded informations about registering link, thus also can reach when avoiding carrying out the storage of above-mentioned vehicle registration recorded information in existing motor vehicle register information management system, new registration record data cover old registration record data are caused the incomplete problem of vehicle registration recorded information, on the basis of integrality of improving vehicle registration recorded information, reach the object of the accuracy improving vehicle state estimation further.
It will be understood by those skilled in the art that embodiments of the invention can be provided as method, device (equipment) or computer program.Therefore, the present invention can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the present invention can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to magnetic disk memory, CD-ROM, optical memory etc.) of computer usable program code.
The present invention describes with reference to according to the process flow diagram of the method for the embodiment of the present invention, device (equipment) and computer program and/or block scheme.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block scheme and/or square frame and process flow diagram and/or block scheme and/or square frame.These computer program instructions can being provided to the processor of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the processor of computing machine or other programmable data processing device produce device for realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be loaded in computing machine or other programmable data processing device, make on computing machine or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computing machine or other programmable devices is provided for the step realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
Although describe the preferred embodiments of the present invention, those skilled in the art once obtain the basic creative concept of cicada, then can make other change and amendment to these embodiments.So claims are intended to be interpreted as comprising preferred embodiment and falling into all changes and the amendment of the scope of the invention.
Obviously, those skilled in the art can carry out various change and modification to the present invention and not depart from the spirit and scope of the present invention.Like this, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.
Claims (14)
1. a vehicle-state defining method, is characterized in that, comprising:
From the data message that each data platform collection is relevant to vehicle, wherein, described relevant to the vehicle data message collected at least comprises the components information of vehicle itself, car insurance information, vehicle trouble messages and vehicle driving consumption information;
The data message relevant to vehicle described in collecting is analyzed, based on the same original state score value set, determines the residual life state score of vehicle, safety position score value, malfunction score value and transport condition state score respectively;
According to the residual life state score of the described vehicle determined, safety position score value, malfunction score value and transport condition state score, adopt the mode of weighted sum, determine the total score value of state that described vehicle is current, and the state total score value current according to the described vehicle determined, determine the current state of described vehicle.
2. vehicle-state defining method as claimed in claim 1, is characterized in that, analyzes, based on the same original state score value set, determine the residual life state score of vehicle, comprising the data message relevant to vehicle described in collecting:
According to data message relevant to vehicle described in collecting, the life-span of setting tired algorithm is adopted to calculate the current residual life-span of the engine of described vehicle, chassis, vehicle body and vehicle electric electric system;
According to the current residual life-span of the described engine calculated, chassis, vehicle body and vehicle electric electric system, and the engine of the described vehicle extracted from data message relevant to vehicle described in collecting, chassis, vehicle body and vehicle electric electric system entire life when dispatching from the factory, adopt following formula, calculate the residual life state score W of described vehicle:
W=(a1*a/A+b1*b/B+c1*c/C+d1*d/D)*S1；
Wherein, described A, B, C, D are respectively the entire life when engine of described vehicle, chassis, vehicle body and vehicle electric electric system dispatch from the factory; Described a, b, c, d be respectively calculate described engine, chassis, vehicle body and vehicle electric electric system the current residual life-span; Described a1, b1, c1, d1 are respectively life-span weight corresponding to described engine, chassis, vehicle body and vehicle electric electric system, and described S1 is the same original state score value of described setting.
3. vehicle-state defining method as claimed in claim 1, is characterized in that, analyzes, based on the same original state score value set, determine the safety position score value of vehicle, comprising the data message relevant to vehicle described in collecting:
According to data message relevant to vehicle described in collecting, determine the total degree that is in danger of described vehicle, total charge of insuring and reparation total charge;
According to the total degree that is in danger of the described vehicle determined, total charge of insuring and reparation total charge, adopt following formula, calculate the safety position score value X of described vehicle:
X={1/(1+N)*N1+（M2-M1）/M2*M3}*S1；
Wherein, described N is the total degree that is in danger of described vehicle, and described M1 is the reparation total charge of described vehicle, and described M2 is the total charge of insuring of described vehicle; Be in danger number of times and the insurance weight corresponding to insured amount of described N1, M3 described vehicle respectively, described S1 is the same original state score value of described setting.
4. vehicle-state defining method as claimed in claim 1, is characterized in that, analyzes, based on the same original state score value set, determine the malfunction score value of vehicle, comprising the data message relevant to vehicle described in collecting:
According to the order of severity of fault, fault is divided into R class fault level, and according to data message relevant to vehicle described in collecting, adds up the fault frequency that all kinds of fault level is corresponding;
The fault frequency corresponding according to all kinds of fault levels counted on and fault right weight corresponding to all kinds of fault level, adopt following formula, calculate the malfunction score value Y of described vehicle:
Y=∑{1/(1+hi)*Hi}*S1；
Wherein, described hi is the fault frequency that the i-th class fault level is corresponding, and described Hi is the fault right weight that the i-th class fault level is corresponding, and described S1 is the same original state score value of described setting.
5. vehicle-state defining method as claimed in claim 1, is characterized in that, analyzes, based on the same original state score value set, determine the transport condition state score of vehicle, comprising the data message relevant to vehicle described in collecting:
According to the order of severity of bad steering behavior, bad steering behavior is divided into P class driving behavior grade, and according to data message relevant to vehicle described in collecting, adds up the bad steering behavior number of times that all kinds of driving behavior grade is corresponding;
The bad steering behavior number of times corresponding according to all kinds of driving behavior grades determined, and the transport condition weight that all kinds of driving behavior grade is corresponding, adopt following formula to determine the transport condition state score Z of described vehicle:
Z=∑（1/(1+Drip)ip*S1；
Wherein, described Drip is bad steering behavior number of times corresponding to P class driving behavior grade, and described ip represents the transport condition weight that P class driving behavior grade is corresponding, and described S1 is the same original state score value of described setting.
6. the vehicle-state defining method as described in as arbitrary in Claims 1 to 5, it is characterized in that, according to the residual life state score of the described vehicle determined, safety position score value, malfunction score value and transport condition state score, adopt the mode of weighted sum, determine to comprise the total score value of state that described vehicle is current:
According to the residual life state score of the described vehicle determined, safety position score value, malfunction score value and transport condition state score, adopt following formula, determine the total score value S of state that described vehicle is current:
S=Wi*W+Xi*X+Yi*Y+Zi*Z；
Wherein, described W, X, Y, Z are respectively the residual life state score of the described vehicle determined, safety position score value, malfunction score value and transport condition state score; Described Wi, Xi, Yi, Zi are respectively score value weight corresponding to the residual life state score of described vehicle, safety position score value, malfunction score value and transport condition state score.
7. the vehicle-state defining method as described in as arbitrary in Claims 1 to 5, it is characterized in that, after the data message relevant to vehicle from each data platform collection, described method also comprises:
By data information memory relevant to vehicle described in collecting in this locality, wherein, when carrying out the storage of data message, the mode that employing information is added stores described vehicle and buys in that be registered to log off procedure, all registration record information about registering link from new car.
8. a vehicle-state determining device, is characterized in that, comprising:
Data acquisition module, for from each data platform collection data message relevant to vehicle, wherein, described relevant to the vehicle data message collected at least comprises the components information of vehicle itself, car insurance information, vehicle trouble messages and vehicle driving consumption information;
Data analysis module, for to described data collecting module collected to described in the data message relevant to vehicle analyze, based on the same original state score value of setting, determine the residual life state score of vehicle, safety position score value, malfunction score value and transport condition state score respectively;
State determining module, for the residual life state score of the described vehicle determined according to described data analysis module, safety position score value, malfunction score value and transport condition state score, adopt the mode of weighted sum, determine the total score value of state that described vehicle is current, and the state total score value current according to the described vehicle determined, determine the current state of described vehicle.
9. vehicle-state determining device as claimed in claim 8, is characterized in that,
Described data analysis module, specifically for data message relevant to vehicle described in arriving according to described data collecting module collected, the life-span of setting tired algorithm is adopted to calculate the current residual life-span of the engine of described vehicle, chassis, vehicle body and vehicle electric electric system; And
According to the current residual life-span of the described engine calculated, chassis, vehicle body and vehicle electric electric system, and from described data collecting module collected to described in extract the data message relevant to vehicle the engine of described vehicle, chassis, vehicle body and vehicle electric electric system dispatch from the factory time entire life, adopt following formula, calculate the residual life state score W of described vehicle:
W=(a1*a/A+b1*b/B+c1*c/C+d1*d/D)*S1；
Wherein, described A, B, C, D are respectively the entire life when engine of described vehicle, chassis, vehicle body and vehicle electric electric system dispatch from the factory; Described a, b, c, d be respectively calculate described engine, chassis, vehicle body and vehicle electric electric system the current residual life-span; Described a1, b1, c1, d1 are respectively life-span weight corresponding to described engine, chassis, vehicle body and vehicle electric electric system, and described S1 is the same original state score value of described setting.
10. vehicle-state determining device as claimed in claim 8, is characterized in that,
Described data analysis module, specifically for data message relevant to vehicle described in arriving according to described data collecting module collected, determine the total degree that is in danger of described vehicle, total charge of insuring and reparation total charge, and according to the total degree that is in danger of the described vehicle determined, total charge of insuring and reparation total charge, adopt following formula, calculate the safety position score value X of described vehicle:
X={1/(1+N)*N1+（M2-M1）/M2*M3}*S1；
Wherein, described N is the total degree that is in danger of described vehicle, and described M1 is the reparation total charge of described vehicle, and described M2 is the total charge of insuring of described vehicle; Be in danger number of times and the insurance weight corresponding to insured amount of described N1, M3 described vehicle respectively, described S1 is the same original state score value of described setting.
11. vehicle-state determining devices as claimed in claim 8, is characterized in that,
Described data analysis module, is divided into R class fault level specifically for the order of severity according to fault by fault, and data message relevant to vehicle described in arriving according to described data collecting module collected, add up the fault frequency that all kinds of fault level is corresponding; And,
The fault frequency corresponding according to all kinds of fault levels counted on and fault right weight corresponding to all kinds of fault level, adopt following formula, calculate the malfunction score value Y of described vehicle:
Y=∑{1/(1+hi)*Hi}*S1；
Wherein, described hi is the fault frequency that the i-th class fault level is corresponding, and described Hi is the fault right weight that the i-th class fault level is corresponding, and described S1 is the same original state score value of described setting.
12. vehicle-state determining devices as claimed in claim 8, is characterized in that,
Described data analysis module, specifically for the order of severity according to bad steering behavior, bad steering behavior is divided into P class driving behavior grade, and data message relevant to vehicle described in arriving according to described data collecting module collected, add up the bad steering behavior number of times that all kinds of driving behavior grade is corresponding; And,
The bad steering behavior number of times corresponding according to all kinds of driving behavior grades determined, and the transport condition weight that all kinds of driving behavior grade is corresponding, adopt following formula to determine the transport condition state score Z of described vehicle:
Z=∑（1/(1+Drip)ip*S1；
Wherein, described Drip is bad steering behavior number of times corresponding to P class driving behavior grade, and described ip represents the transport condition weight that P class driving behavior grade is corresponding, and described S1 is the same original state score value of described setting.
13. as arbitrary in claim 8 ~ 12 as described in vehicle-state determining device, it is characterized in that,
Described state determining module, specifically for the residual life state score of the described vehicle determined according to described data analysis module, safety position score value, malfunction score value and transport condition state score, adopt following formula, determine the total score value S of state that described vehicle is current:
S=Wi*W+Xi*X+Yi*Y+Zi*Z；
Wherein, described W, X, Y, Z are respectively the residual life state score of the described vehicle determined, safety position score value, malfunction score value and transport condition state score; Described Wi, Xi, Yi, Zi are respectively score value weight corresponding to the residual life state score of described vehicle, safety position score value, malfunction score value and transport condition state score.
14. as arbitrary in claim 8 ~ 12 as described in vehicle-state determining device, it is characterized in that, described vehicle-state determining device also comprises data memory module:
Described data memory module, for after the data message relevant to vehicle from each data platform collection, by data information memory relevant to vehicle described in collecting in this locality, wherein, when carrying out the storage of data message, the mode that employing information is added stores described vehicle and buys in that be registered to log off procedure, all registration record information about registering link from new car.
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| CN114372717A (en) * | 2022-01-12 | 2022-04-19 | 金瓜子科技发展（北京）有限公司 | Target object scoring method based on second-hand vehicle and related equipment |
| CN114544184A (en) * | 2022-02-25 | 2022-05-27 | 湖南道依茨动力有限公司 | Fault diagnosis method, fault diagnosis device, electronic apparatus, storage medium, and engine |
| CN114997756A (en) * | 2022-08-03 | 2022-09-02 | 成都智暄科技有限责任公司 | Vehicle residual value evaluation system and method based on cockpit data |
| CN116189332A (en) * | 2022-10-20 | 2023-05-30 | 开源网安物联网技术(武汉)有限公司 | Vehicle health scoring method and device, electronic equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1383521A (en) * | 2000-05-30 | 2002-12-04 | 情报基地株式会社 | Vehicle resale price analysis system |
| US20090319336A1 (en) * | 2006-10-11 | 2009-12-24 | Rosy Blue Dmcc | Diamond valuation method, apparatus and computer readable medium product |
| CN101793611A (en) * | 2010-03-04 | 2010-08-04 | 王铁忠 | Portable automatic identifying system for second-hand vehicles |
| US20110161197A1 (en) * | 2009-12-30 | 2011-06-30 | Oded Noy | System, method and computer program product for predicting value of lead |
| CN103106605A (en) * | 2013-02-05 | 2013-05-15 | 广州博朝信息技术有限公司 | Second-hand car price making system |
-
2013
- 2013-12-31 CN CN201310753128.0A patent/CN104750964B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1383521A (en) * | 2000-05-30 | 2002-12-04 | 情报基地株式会社 | Vehicle resale price analysis system |
| US20090319336A1 (en) * | 2006-10-11 | 2009-12-24 | Rosy Blue Dmcc | Diamond valuation method, apparatus and computer readable medium product |
| US20110161197A1 (en) * | 2009-12-30 | 2011-06-30 | Oded Noy | System, method and computer program product for predicting value of lead |
| CN101793611A (en) * | 2010-03-04 | 2010-08-04 | 王铁忠 | Portable automatic identifying system for second-hand vehicles |
| CN103106605A (en) * | 2013-02-05 | 2013-05-15 | 广州博朝信息技术有限公司 | Second-hand car price making system |
Non-Patent Citations (2)
| Title |
|---|
| 孔国强: "《技术经济学》", 30 August 1997, 北京邮电大学出版社 * |
| 杜秀菊 等: "《二手车鉴定与评估实用教程》", 31 December 2012, 北京机械出版社 * |
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