CN116542466A - Asset full period management system based on data analysis - Google Patents

Asset full period management system based on data analysis Download PDF

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CN116542466A
CN116542466A CN202310503379.7A CN202310503379A CN116542466A CN 116542466 A CN116542466 A CN 116542466A CN 202310503379 A CN202310503379 A CN 202310503379A CN 116542466 A CN116542466 A CN 116542466A
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vehicle
maintenance
coefficient
historical
continuously
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于景龙
艾永明
张越
苏靖然
刘欣瑞
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New Energy Branch Of Huaneng Jilin Power Generation Co ltd
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New Energy Branch Of Huaneng Jilin Power Generation Co ltd
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    • G06—COMPUTING; CALCULATING OR COUNTING
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    • 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
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    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance

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Abstract

The invention belongs to the field of enterprise asset full period management, and relates to an asset full period management system based on data analysis, which is characterized in that a vehicle identity information input module, a vehicle current value analysis module, a vehicle future value analysis module, a vehicle comprehensive value analysis module, a vehicle input use screening module, a vehicle transfer demand judgment module and a cloud database are arranged.

Description

Asset full period management system based on data analysis
Technical Field
The invention belongs to the field of enterprise asset full period management, and relates to an asset full period management system based on data analysis.
Background
Assets refer to economic resources that an enterprise owns or controls that can be measured in money, including various properties, crediting, and other rights. Assets of an enterprise can be classified into fixed assets and intangible assets, the fixed assets typically including: machine equipment, transportation tools, building structures and other facilities related to enterprise production and management, long economic life and high unit value are important features for distinguishing fixed assets from other assets.
For enterprises, the composition types of fixed assets are numerous, corresponding data are relatively messy and tedious, and for managing the fixed asset data, the enterprises often need to establish special financial departments for management. However, since the fixed asset data arrangement is more labor intensive, the department is not efficient and often ignores the careful analysis and handling of a certain asset. Illustratively, vehicles play an indispensable role in business daily operations and personnel office attendance as one of fixed assets, and existing vehicle asset management systems have problems in managing vehicle asset data, which are specifically embodied in: (1) The existing vehicle asset management usually evaluates the value of the vehicle from the running mileage and service life of the vehicle, ignores the influence of vehicle maintenance on the value of the vehicle, has insufficient analysis strength on the current value of the vehicle, and cannot guarantee the accuracy and reliability of the vehicle asset data, thereby influencing the subsequent processing of the vehicle.
(2) The existing vehicle asset management only considers the current value of the vehicle, lacks prediction of future value, and has single vehicle asset data and lacks foresight, and the condition that the vehicle is not covered in the future can lead to the risk of enterprise asset management, and the existing vehicle asset management cannot make future planning and coping according to the current data, thereby influencing the management effect of enterprises.
(3) Most of the processes of the follow-up vehicles which are not laid out are scrapped by the existing vehicle asset management, the profitability of the transfer process of the vehicles is not considered, and the earnings of the vehicle assets are not maximized, so that the recovery rate of the enterprise vehicle assets is reduced, and the asset management of the enterprise is not facilitated.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the background art, an asset full cycle management system based on data analysis is now proposed.
The aim of the invention can be achieved by the following technical scheme: the invention provides an asset full period management system based on data analysis, comprising: and the vehicle identity information input module is used for manually inputting the identity information of each vehicle.
And the vehicle current value analysis module is used for extracting the use information and the maintenance information of each vehicle from the cloud database according to the identity information of each vehicle so as to calculate the use coefficient and the maintenance coefficient of each vehicle and analyze the current value evaluation coefficient of each vehicle.
And the vehicle future value analysis module is used for calculating the estimated total mileage and the estimated total cost of each vehicle in the future set period and analyzing the future value evaluation coefficient of each vehicle.
And the vehicle comprehensive value analysis module is used for analyzing the comprehensive value evaluation coefficients of the vehicles according to the current and future value evaluation coefficients of the vehicles.
The vehicle use screening module is used for judging the continuous use requirement of each vehicle based on the comprehensive value evaluation coefficient of each vehicle, and screening out vehicles which can be continuously used and vehicles which cannot be continuously used.
And the vehicle transfer demand judging module is used for calculating the transfer discount rate of each vehicle which can not be continuously used, judging the transfer demand of each vehicle which can not be continuously used, and processing each vehicle which can not be continuously used.
The cloud database is used for storing the total drivable mileage and total usable years of various types of automobiles specified by the authorities of various brands of automobiles, storing the identity information, the use information and the maintenance information of various automobiles under the enterprise name, storing the maintenance degree evaluation index corresponding to various parts of the automobiles and the maintenance grade evaluation index corresponding to various maintenance duration ranges of the automobiles, storing the new automobile market pricing and second hand market standard pricing of various types of automobiles of various brands, and storing the reasonable range of the comprehensive value evaluation coefficient of the automobiles and the allowable transfer discount rate threshold of the automobiles.
Specifically, the identity information includes a brand, a model, and a license plate number.
The usage information includes purchase amount, historical usage years, usage amount for each historical year, and travel mileage.
The maintenance information includes a maintenance amount for each historical year, a maintenance duration for each historical maintenance, and each maintenance component.
Specifically, the calculation of the usage coefficient and the maintenance coefficient of each vehicle comprises the following specific analysis processes: extracting the historical service life of each vehicle and the driving mileage of each historical year from the service information of each vehicle, and respectively marking as t i 、Where i denotes the number of each vehicle, i=1, 2, & gt, n, x denotes the number of each history year, x=1, 2, & gt, v, the total number of allowable mileage and total number of usable years of each vehicle officially prescribed by each vehicle are extracted from the cloud database according to the brand and model of each vehicle, and are respectively noted as + & gt>By the formula->Obtaining the use coefficient of each vehicle, wherein b 1 、b 2 The weight ratio factors of the use coefficients corresponding to the set historical total mileage and the historical use years are respectively shown.
According to the maintenance information of each vehicle, the maintenance amount of each historical year of each vehicle is recorded asScreening out historical maintenance of each vehicle according to maintenance degree evaluation indexes corresponding to each part of the vehicle stored in the cloud databaseThe maintenance degree evaluation index corresponding to each maintenance part of the vehicle is further screened out, and the maximum value of the maintenance degree evaluation index of each maintenance part of each historical maintenance of the vehicle is taken as the maintenance degree judgment index of each historical maintenance of the vehicle and is marked as beta ij Wherein j represents the number of each historical maintenance, j=1, 2, & gt, w, and then according to the maintenance duration of each historical maintenance of each vehicle, extracting a maintenance grade evaluation index corresponding to the maintenance duration range of each historical maintenance of each vehicle from the cloud database, and recording as phi ij 。
Extracting the purchase amount of each vehicle from the use information of each vehicle, and recording the purchase amount as g i From the formulaObtaining maintenance coefficients of each vehicle, wherein delta represents a correction factor of the set vehicle maintenance coefficient, theta 1 The set reasonable ratio threshold of the total maintenance amount and the purchase amount of the vehicle is represented, w represents the total historical maintenance times of the vehicle, and e represents a natural constant.
Specifically, the analyzing the current value evaluation coefficient of each vehicle includes the following specific analysis processes: extracting new vehicle market pricing h of each vehicle from a cloud database according to the brand and model of each vehicle i From the formulaObtaining a current value evaluation coefficient of each vehicle, wherein f 1 、f 2 The weight ratio factors of the vehicle current value evaluation coefficients corresponding to the set vehicle use coefficient and the maintenance coefficient are respectively represented.
Specifically, the method calculates the estimated total mileage and the estimated total cost of each vehicle in the future set period, and the specific analysis process is as follows: according to the number of driving mileage of each historical year of each vehicle, analyzing the average increase rate epsilon of the driving mileage of each vehicle i The calculation formula is thatWherein->The travel mileage number of the ith vehicle in the (x+1) th historical year is represented, v represents the historical service life of the vehicle, and the formula is given belowObtaining the estimated total mileage of each vehicle in the future set period, wherein +.>The travel mileage in the v history year of the i-th automobile is represented, and Δt represents the future set year.
According to the use amount SY of each history year of each vehicle i x From the formulaObtaining average increase rate of annual use amount of each vehicle, wherein SY i x+1 Representing the use amount of the ith vehicle in the (x+1) th historical year, and then the use amount is represented by the formula SQ i ＝SY i v *(1+μ i )*[1+(1+μ i )+(1+μ i ) 2 +...+(1+μ i ) Δt-1 ]Obtaining the estimated total amount of use of each vehicle in the future set years, wherein SY i v Indicating the amount of use in the ith vehicle's v history year.
The same principle obtains the estimated maintenance total amount of each vehicle in the future set years, adds the estimated use and maintenance total amount of each vehicle in the future set years to obtain the total cost HF of each vehicle in the future set years i 。
Specifically, the analysis is performed on the future value evaluation coefficients of each vehicle, and the calculation formula is as follows:where τ represents a set vehicle future value estimation correction factor, σ 1 、σ 2 Respectively represent the estimated total mileage and the estimated total cost corresponding to the future price in the set future set yearsWeight ratio factor of value evaluation coefficient, θ 2 A reasonable duty cycle threshold representing the set total cost of the vehicle versus the purchase amount of the vehicle.
Specifically, the calculation formula of the comprehensive value evaluation coefficient of each vehicle is as follows:wherein l 1 、l 2 The weight ratio factors of the comprehensive value evaluation coefficients corresponding to the set current value evaluation coefficient and the set future value evaluation coefficient are respectively represented.
Specifically, the screening vehicles which can be continuously put into use and the vehicles which cannot be continuously put into use are screened out, and the specific analysis process is as follows: and (3) extracting a reasonable range of the vehicle comprehensive value evaluation coefficient stored in the cloud database, comparing the comprehensive value evaluation coefficient of each vehicle with the reasonable range of the vehicle comprehensive value evaluation coefficient, if the comprehensive value evaluation coefficient of a certain vehicle is in the reasonable range of the vehicle comprehensive value evaluation coefficient, marking the vehicle as a continuously-available vehicle, otherwise marking the vehicle as a non-continuously-available vehicle, and obtaining each continuously-available vehicle and each non-continuously-available vehicle.
Specifically, the transfer discount rate of each vehicle which can not be continuously put into use is calculated, and the specific analysis process is as follows: according to the brand and model of each vehicle which can not be continuously used, extracting second-hand market standard pricing of each vehicle which can not be continuously used from a cloud database, and marking the second-hand market standard pricing as p i′ Wherein i ' represents the number of each vehicle which cannot be continuously put into use, i ' =1 ',2',..n ', and the use coefficient and the maintenance coefficient of each vehicle which cannot be continuously put into use are extracted from the use coefficient and the maintenance coefficient of each vehicle and are respectively marked as alpha i′ 、χ i′ Analyzing actual pricing of second hand markets where vehicles cannot be continuously put into useThe calculation formula is as follows: />Extracting the purchase amount of each vehicle which can not be continuously put into use from the purchase amount of each vehicle, and recording the purchase amount as g i′ By the formula->Obtaining the risk-free return rate of each vehicle which can not be continuously put into use, analyzing the transfer discount rate of each vehicle which can not be continuously put into use, and adopting the calculation formula as follows: />Wherein Δp represents a reasonable spread between actual pricing and standard pricing of the set second-hand market of vehicles, +.>A correction factor indicating the set vehicle transfer discount rate.
Specifically, the specific analysis process of judging the transfer requirement of each vehicle which can not be continuously put into use is as follows: and extracting a vehicle allowable transfer discount rate threshold stored in the cloud database, comparing the transfer discount rate of each vehicle which cannot be continuously used with the vehicle allowable transfer discount rate threshold, judging that the vehicle which cannot be continuously used has transfer requirements if the transfer discount rate of the vehicle which cannot be continuously used is larger than the vehicle allowable transfer discount rate threshold, and otherwise judging that the vehicle which cannot be continuously used does not have transfer requirements.
Compared with the prior art, the invention has the following beneficial effects: (1) According to the invention, the vehicle use coefficient and the maintenance coefficient are analyzed from the angles of vehicle use and maintenance in the vehicle current value analysis module, so that the vehicle current value evaluation coefficient is comprehensively analyzed, the defect that the influence attention of the existing vehicle asset management on the vehicle maintenance on the current value is not high is overcome, the accuracy of the vehicle current value evaluation analysis is further improved, and the reliability guarantee is provided for the subsequent vehicle comprehensive value evaluation analysis.
(2) According to the invention, the future value evaluation coefficient of the vehicle is analyzed by estimating the total mileage and the total cost of the vehicle in the future set period in the vehicle future value analysis module, so that the problem of neglect of the existing vehicle asset management on the future value analysis of the vehicle is effectively solved, and the future value analysis system is further optimized and improved on the basis of the existing vehicle asset management.
(3) According to the invention, the vehicle comprehensive value evaluation coefficient is calculated by combining the current and future value evaluation coefficients of the vehicle in the vehicle comprehensive value analysis module, and the accuracy of vehicle comprehensive value evaluation is improved by multi-angle analysis, so that powerful support is provided for the processing of subsequent vehicles.
(4) According to the invention, in the vehicle transfer demand judging module, the transfer discount rate of each vehicle which can not be continuously put into use is calculated, and the transfer or scrapping treatment is carried out on each vehicle which can not be continuously put into use according to the transfer discount rate, so that the maximization of the asset benefit of the vehicle is realized, and the asset recovery rate of enterprises is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a system according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides an asset full period management system based on data analysis, and specific modules are distributed as follows: the vehicle identification information input module, the vehicle current value analysis module, the vehicle future value analysis module, the vehicle comprehensive value analysis module, the vehicle input use screening module, the vehicle transfer demand judgment module and the cloud database, wherein the connection relation between the modules is as follows: the vehicle current value analysis module and the vehicle future value analysis module are connected with the vehicle identity information input module, the vehicle comprehensive value analysis module is connected with the vehicle current value analysis module and the vehicle future value analysis module respectively, the vehicle input use screening module is connected with the vehicle comprehensive value analysis module, the vehicle transfer demand judgment module is connected with the vehicle input use screening module, and the vehicle current value analysis module, the vehicle future value analysis module, the vehicle input use screening module and the vehicle transfer demand judgment module are connected with the cloud database.
The vehicle identity information input module is used for manually inputting the identity information of each vehicle.
The vehicle current value analysis module is used for extracting the use information and the maintenance information of each vehicle from the cloud database according to the identity information of each vehicle, so as to calculate the use coefficient and the maintenance coefficient of each vehicle and analyze the current value evaluation coefficient of each vehicle.
Preferably, the identity information includes a brand, a model and a license plate number.
The usage information includes purchase amount, historical usage years, usage amount for each historical year, and travel mileage.
The maintenance information includes a maintenance amount for each historical year, a maintenance duration for each historical maintenance, and each maintenance component.
It should be noted that, according to the identity information of each vehicle, the usage information and maintenance information of each vehicle are extracted from the cloud database, and the specific analysis process is as follows: and extracting license plate numbers in the identity information of each vehicle, matching the license plate numbers of each vehicle with the license plate numbers of each vehicle under the enterprise name stored in the cloud database, and if the license plate numbers of a certain vehicle under the enterprise name stored in the cloud database are identical to the license plate numbers of the certain vehicle, taking the using information and the maintenance information of the vehicle under the enterprise name as the using information and the maintenance information of the vehicle to obtain the using information and the maintenance information of each vehicle.
The use amount includes a refuel amount, a maintenance amount, and an insurance amount.
Preferably, the calculating the usage coefficient and the maintenance coefficient of each vehicle includes the following specific analysis processes: extracting the historical service life of each vehicle and the driving mileage of each historical year from the service information of each vehicle, and respectively marking as t i 、Where i denotes the number of each vehicle, i=1, 2, & gt, n, x denotes the number of each history year, x=1, 2, & gt, v, the total number of allowable mileage and total number of usable years of each vehicle officially prescribed by each vehicle are extracted from the cloud database according to the brand and model of each vehicle, and are respectively noted as + & gt>By the formula->Obtaining the use coefficient of each vehicle, wherein b 1 、b 2 The weight ratio factors of the use coefficients corresponding to the set historical total mileage and the historical use years are respectively shown.
According to the maintenance information of each vehicle, the maintenance amount of each historical year of each vehicle is recorded asAccording to the maintenance degree evaluation indexes corresponding to the vehicle parts stored in the cloud database, screening out the maintenance degree evaluation indexes corresponding to the maintenance parts of each vehicle in each historical maintenance, further screening out the maximum value of the maintenance degree evaluation indexes of the maintenance parts of each vehicle in each historical maintenance as the maintenance degree judgment index of each vehicle in each historical maintenance, and marking as beta ij Where j represents the number of each history maintenance, j=1, 2,..and w, and then the dimensions of each history maintenance of each vehicle are extracted from the cloud database according to the maintenance duration of each history maintenance of each vehicleThe maintenance grade evaluation index corresponding to the maintenance time range is marked as phi ij 。
It should be noted that, according to the maintenance duration of each historical maintenance of each vehicle, the maintenance grade evaluation index corresponding to the maintenance duration range of each historical maintenance of each vehicle is extracted from the cloud database, and the specific analysis process is as follows: according to the maintenance grade evaluation index corresponding to each maintenance duration range of the vehicle stored in the cloud database, dividing the maintenance duration of each historical maintenance of each vehicle according to the set working time to obtain the maintenance duration range of each historical maintenance of each vehicle, matching the maintenance duration range of each historical maintenance of each vehicle with each maintenance duration range of the vehicle stored in the cloud database, and taking the maintenance grade evaluation index corresponding to the maintenance duration range of a certain historical maintenance of the vehicle as the maintenance grade evaluation index corresponding to the maintenance duration range of the historical maintenance of the vehicle if the maintenance duration range of the certain historical maintenance of the certain vehicle is equal to the maintenance duration range of the certain maintenance of the vehicle stored in the cloud database.
As an example, the maintenance duration is divided into ranges according to 12 working hours, the maintenance duration is used as a first maintenance duration range in 1-12 working hours, the maintenance duration is used as a second maintenance duration range in 12-24 working hours, the maintenance duration is used as a third maintenance duration range … … in 24-36 working hours, if the maintenance duration of a certain vehicle in a certain historical maintenance is 20 working hours, the maintenance duration range of the vehicle in the historical maintenance is the second maintenance duration range, and the maintenance grade evaluation index corresponding to the vehicle second maintenance duration range stored in the cloud database is the maintenance grade evaluation index corresponding to the maintenance duration range of the vehicle in the historical maintenance.
Extracting the purchase amount of each vehicle from the use information of each vehicle, and recording the purchase amount as g i From the formulaObtaining maintenance coefficients of each vehicle, wherein delta represents a correction factor of the set vehicle maintenance coefficient, theta 1 Indicating the sum of the set total maintenance amount and the purchase amountThe rational ratio threshold, w, represents the total number of vehicle history repairs, e represents a natural constant.
Preferably, the analyzing the current value evaluation coefficient of each vehicle includes the following specific analysis processes: extracting new vehicle market pricing h of each vehicle from a cloud database according to the brand and model of each vehicle i From the formulaObtaining a current value evaluation coefficient of each vehicle, wherein f 1 、f 2 The weight ratio factors of the vehicle current value evaluation coefficients corresponding to the set vehicle use coefficient and the maintenance coefficient are respectively represented.
According to the vehicle value evaluation system and method, the vehicle use coefficient and the maintenance coefficient are analyzed from the angles of vehicle use and maintenance, so that the vehicle current value evaluation coefficient is comprehensively analyzed, the defect that the influence of the existing vehicle asset management on the vehicle maintenance on the current value is low in attention is overcome, the accuracy of the vehicle current value evaluation analysis is further improved, and reliability guarantee is provided for the subsequent vehicle comprehensive value evaluation analysis.
The vehicle future value analysis module is used for calculating the estimated total mileage and the estimated total cost of each vehicle in the future set years and analyzing the future value evaluation coefficient of each vehicle.
Preferably, the calculation of the estimated total mileage and the estimated total cost of each vehicle in the future set period includes the following specific analysis processes: according to the historical number of driving mileage of each vehicle in each year, the average increase rate epsilon of the driving mileage of each vehicle in each year is analyzed i The calculation formula is thatWherein->The travel mileage number of the ith vehicle in the (x+1) th historical year is represented, v represents the historical service life of the vehicle, and the formula is given belowObtaining the estimated total mileage of each vehicle in the future set period, wherein +.>The travel mileage in the v history year of the i-th automobile is represented, and Δt represents the future set year.
According to the use amount SY of each history year of each vehicle i x From the formulaObtaining average increase rate of annual use amount of each vehicle, wherein SY i x+1 Representing the use amount of the ith vehicle in the (x+1) th historical year, and then the use amount is represented by the formula SQ i ＝SY i v *(1+μ i )*[1+(1+μ i )+(1+μ i ) 2 +...+(1+μ i ) Δt-1 ]Obtaining the estimated total amount of use of each vehicle in the future set years, wherein SY i v Indicating the amount of use in the ith vehicle's v history year.
The same principle obtains the estimated maintenance total amount of each vehicle in the future set years, adds the estimated use and maintenance total amount of each vehicle in the future set years to obtain the total cost HF of each vehicle in the future set years i 。
The above-mentioned method obtains the estimated total maintenance amount of each vehicle in the future set period, and the specific analysis process is as follows: maintenance amount according to each historical year of each vehicleThe average increase rate of annual maintenance amount of each vehicle is calculated, and the calculation formula is as follows: />Wherein->Dimension representing the (i) th vehicle (x+1) th historical yearRepair amount, by formula->Obtaining the estimated total maintenance amount of each vehicle in the future set period, wherein +.>Representing the maintenance amount of the ith vehicle in the v-th history year.
Preferably, the analyzing the future value evaluation coefficient of each vehicle includes the following calculation formula:where τ represents a set vehicle future value estimation correction factor, σ 1 、σ 2 Respectively represent the weight duty factor, theta of the estimated total mileage and the estimated total cost corresponding to the future value evaluation coefficient in the set future set years 2 A reasonable duty cycle threshold representing the set total cost of the vehicle versus the purchase amount of the vehicle.
The method and the device effectively solve the problem of neglect of the existing vehicle asset management on the analysis of the future value of the vehicle by estimating the total mileage and the total cost of the vehicle in the set future period and analyzing the future value evaluation coefficient of the vehicle, and further optimize and improve the existing vehicle asset management.
The vehicle comprehensive value analysis module is used for analyzing the comprehensive value evaluation coefficients of the vehicles according to the current and future value evaluation coefficients of the vehicles.
Preferably, the analysis of the comprehensive value evaluation coefficient of each vehicle has a calculation formula:wherein l 1 、l 2 The weight ratio factors of the comprehensive value evaluation coefficients corresponding to the set current value evaluation coefficient and the set future value evaluation coefficient are respectively represented.
The invention improves the accuracy of the comprehensive value evaluation of the vehicle by combining the current and future value evaluation coefficients of the vehicle with the calculation of the comprehensive value evaluation coefficient of the vehicle, thereby providing powerful support for the processing of the subsequent vehicle.
The vehicle use screening module is used for judging the continuous use requirement of each vehicle based on the comprehensive value evaluation coefficient of each vehicle, and screening out vehicles which can be continuously used and vehicles which cannot be continuously used.
Preferably, the screening out vehicles which can be continuously put into use and vehicles which can not be continuously put into use comprise the following specific analysis processes: and (3) extracting a reasonable range of the vehicle comprehensive value evaluation coefficient stored in the cloud database, comparing the comprehensive value evaluation coefficient of each vehicle with the reasonable range of the vehicle comprehensive value evaluation coefficient, if the comprehensive value evaluation coefficient of a certain vehicle is in the reasonable range of the vehicle comprehensive value evaluation coefficient, marking the vehicle as a continuously-available vehicle, otherwise marking the vehicle as a non-continuously-available vehicle, and obtaining each continuously-available vehicle and each non-continuously-available vehicle.
The vehicle transfer demand judging module is used for calculating transfer discount rate of each vehicle which can not be continuously used, judging transfer demand of each vehicle which can not be continuously used, and processing each vehicle which can not be continuously used.
Preferably, the calculating of the transfer discount rate of each vehicle which can not be used continuously includes the following specific analysis processes: according to the brand and model of each vehicle which can not be continuously used, extracting second-hand market standard pricing of each vehicle which can not be continuously used from a cloud database, and marking the second-hand market standard pricing as p i′ Wherein i ' represents the number of each vehicle which cannot be continuously put into use, i ' =1 ',2',..n ', and the use coefficient and the maintenance coefficient of each vehicle which cannot be continuously put into use are extracted from the use coefficient and the maintenance coefficient of each vehicle and are respectively marked as alpha i′ 、χ i′ Analyzing actual pricing of second hand markets where vehicles cannot be continuously put into useThe calculation formula is as follows:/>extracting purchase amount of each vehicle which cannot be put into use continuously from the purchase amount of each vehicle, and recording the purchase amount as gi' by the formula +.>Obtaining the risk-free return rate of each vehicle which can not be continuously put into use, analyzing the transfer discount rate of each vehicle which can not be continuously put into use, and adopting the calculation formula as follows: />Wherein Δp represents a reasonable spread between actual pricing and standard pricing of the set second-hand market of vehicles, +.>A correction factor indicating the set vehicle transfer discount rate.
Preferably, the determining each transfer demand that can not be used continuously includes the following specific analysis processes: and extracting a vehicle allowable transfer discount rate threshold stored in the cloud database, comparing the transfer discount rate of each vehicle which cannot be continuously used with the vehicle allowable transfer discount rate threshold, judging that the vehicle which cannot be continuously used has transfer requirements if the transfer discount rate of the vehicle which cannot be continuously used is larger than the vehicle allowable transfer discount rate threshold, and otherwise judging that the vehicle which cannot be continuously used does not have transfer requirements.
The specific analysis process of the vehicle which can not be continuously put into use is as follows: if the transfer requirement exists for a vehicle which cannot be continuously used, transferring the vehicle which cannot be continuously used to a second-hand market, carrying out selling treatment, and if the transfer requirement does not exist for the vehicle which cannot be continuously used, carrying out scrapping treatment.
According to the method and the device, the transfer discount rate of each vehicle which cannot be continuously put into use is calculated, and transfer or scrapping treatment is carried out on each vehicle which cannot be continuously put into use according to the transfer discount rate, so that the maximization of the asset benefit of the vehicle is realized, and the asset recovery rate of enterprises is improved.
The cloud database is used for storing the total drivable mileage and total usable years of various types of automobiles specified by the authorities of various brands of automobiles, storing the identity information, the use information and the maintenance information of various automobiles under the enterprise name, storing the maintenance degree evaluation index corresponding to various parts of the automobiles and the maintenance grade evaluation index corresponding to various maintenance duration ranges of the automobiles, storing the new automobile market pricing and second hand market standard pricing of various types of automobiles of various brands, and storing the reasonable range of the comprehensive value evaluation coefficient of the automobiles and the allowable transfer discount rate threshold of the automobiles.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.

Claims (10)

1. An asset full cycle management system based on data analysis, characterized in that: the system comprises:
the vehicle identity information input module is used for manually inputting the identity information of each vehicle;
the vehicle current value analysis module is used for extracting the use information and the maintenance information of each vehicle from the cloud database according to the identity information of each vehicle so as to calculate the use coefficient and the maintenance coefficient of each vehicle and analyze the current value evaluation coefficient of each vehicle;
the vehicle future value analysis module is used for calculating the estimated total mileage and the estimated total cost of each vehicle in the future set years and analyzing the future value evaluation coefficient of each vehicle;
the vehicle comprehensive value analysis module is used for analyzing the comprehensive value evaluation coefficients of the vehicles according to the current and future value evaluation coefficients of the vehicles;
the vehicle use screening module is used for judging the continuous use requirement of each vehicle based on the comprehensive value evaluation coefficient of each vehicle, and screening out vehicles which can be continuously used and vehicles which cannot be continuously used;
the vehicle transfer demand judging module is used for calculating transfer discount rate of each vehicle which cannot be continuously used, judging transfer demand of each vehicle which cannot be continuously used, and processing each vehicle which cannot be continuously used;
the cloud database is used for storing the total drivable mileage and total usable years of various types of automobiles specified by the authorities of various brands of automobiles, storing the identity information, the use information and the maintenance information of various automobiles under the enterprise name, storing the maintenance degree evaluation index corresponding to various parts of the automobiles and the maintenance grade evaluation index corresponding to various maintenance duration ranges of the automobiles, storing the new automobile market pricing and second hand market standard pricing of various types of automobiles of various brands, and storing the reasonable range of the comprehensive value evaluation coefficient of the automobiles and the allowable transfer discount rate threshold of the automobiles.
2. A data analysis based asset full cycle management system as claimed in claim 1 wherein: the identity information comprises a brand, a model and a license plate number;
the use information comprises purchase amount, historical use years, use amount of each historical year and travel mileage;
the maintenance information includes a maintenance amount for each historical year, a maintenance duration for each historical maintenance, and each maintenance component.
3. A data analysis based asset full cycle management system as claimed in claim 2 wherein: the specific analysis process of calculating the use coefficient and the maintenance coefficient of each vehicle is as follows: extracting the historical service life of each vehicle and the driving mileage of each historical year from the service information of each vehicle, and respectively marking as ti,Where i represents the number of each vehicle, i=1, 2,..n, x represents the schedule of each history yearNumber, x=1, 2, v, the total number of allowable mileage and total usable life of the automobile specified by each vehicle authority are extracted from the cloud database according to the brand and model of each vehicle, and are respectively recorded asBy the formula->Obtaining the use coefficient of each vehicle, wherein b 1 、b 2 Respectively representing the set total mileage of the historical driving and the weight duty factor of the corresponding use coefficient of the historical use period;
according to the maintenance information of each vehicle, the maintenance amount of each historical year of each vehicle is recorded asAccording to the maintenance degree evaluation indexes corresponding to the vehicle parts stored in the cloud database, screening out the maintenance degree evaluation indexes corresponding to the maintenance parts of each vehicle in each historical maintenance, further screening out the maximum value of the maintenance degree evaluation indexes of the maintenance parts of each vehicle in each historical maintenance as the maintenance degree judgment index of each vehicle in each historical maintenance, and marking as beta ij Wherein j represents the number of each historical maintenance, j=1, 2, & gt, w, and then according to the maintenance duration of each historical maintenance of each vehicle, extracting a maintenance grade evaluation index corresponding to the maintenance duration range of each historical maintenance of each vehicle from the cloud database, and recording as phi ij ；
Extracting the purchase amount of each vehicle from the use information of each vehicle, and recording the purchase amount as g i From the formulaObtaining maintenance coefficients of each vehicle, wherein delta represents a correction factor of the set vehicle maintenance coefficient, theta 1 The set reasonable ratio threshold of the total maintenance amount and the purchase amount of the vehicle is represented, w represents the total historical maintenance times of the vehicle, and e represents a natural constant.
4. A data analysis based asset full cycle management system according to claim 3, wherein: the analysis of the current value evaluation coefficients of each vehicle comprises the following specific analysis processes: extracting new vehicle market pricing h of each vehicle from a cloud database according to the brand and model of each vehicle i From the formulaObtaining a current value evaluation coefficient of each vehicle, wherein f 1 、f 2 The weight ratio factors of the vehicle current value evaluation coefficients corresponding to the set vehicle use coefficient and the maintenance coefficient are respectively represented.
5. The data analysis based asset full cycle management system of claim 4, wherein: the method comprises the following steps of calculating the estimated total mileage and the estimated total cost of each vehicle in the set future period, wherein the specific analysis process is as follows: according to the number of driving mileage of each historical year of each vehicle, analyzing the average increase rate epsilon of the driving mileage of each vehicle i The calculation formula is thatWherein->Represents the number of mileage in the (i) th vehicle in the (x+1) th history year, v represents the history service life of the vehicle, and the formula +.>Obtaining the estimated total mileage of each vehicle in the future set period, wherein +.>The travel mileage number in the v history year of the i-th automobile, and Δt represents the future set year;
according to the use amount SY of each history year of each vehicle i x From the formulaObtaining average increase rate of annual use amount of each vehicle, wherein SY i x+1 Representing the use amount of the ith vehicle in the (x+1) th historical year, and then the use amount is represented by the formula SQ i ＝SY i v *(1+μ i )*[1+(1+μ i )+(1+μ i ) 2 +...+(1+μ i ) Δt-1 ]Obtaining the estimated total amount of use of each vehicle in the future set years, wherein SY i v Representing the use amount of the ith vehicle in the ith history year;
the same principle obtains the estimated maintenance total amount of each vehicle in the future set years, adds the estimated use and maintenance total amount of each vehicle in the future set years to obtain the total cost HF of each vehicle in the future set years i 。
6. The data analysis based asset full cycle management system of claim 5, wherein: the future value evaluation coefficients of the vehicles are analyzed, and the calculation formula is as follows:where τ represents a set vehicle future value estimation correction factor, σ 1 、σ 2 Respectively represent the weight duty factor, theta of the estimated total mileage and the estimated total cost corresponding to the future value evaluation coefficient in the set future set years 2 A reasonable duty cycle threshold representing the set total cost of the vehicle versus the purchase amount of the vehicle.
7. The data analysis based asset full cycle management system of claim 6, wherein: the comprehensive value evaluation coefficient of each vehicle is analyzed, and the calculation formula is as follows:wherein l 1 、l 2 Respectively representing the weight duty factor of the set current value evaluation coefficient and the weight duty factor of the future value evaluation coefficient corresponding to the comprehensive value evaluation coefficient.
8. The data analysis based asset full cycle management system of claim 7, wherein: the specific analysis process of the screening vehicles which can be continuously put into use and vehicles which cannot be continuously put into use is as follows: and (3) extracting a reasonable range of the vehicle comprehensive value evaluation coefficient stored in the cloud database, comparing the comprehensive value evaluation coefficient of each vehicle with the reasonable range of the vehicle comprehensive value evaluation coefficient, if the comprehensive value evaluation coefficient of a certain vehicle is in the reasonable range of the vehicle comprehensive value evaluation coefficient, marking the vehicle as a continuously-available vehicle, otherwise marking the vehicle as a non-continuously-available vehicle, and obtaining each continuously-available vehicle and each non-continuously-available vehicle.
9. The data analysis based asset full cycle management system of claim 8, wherein: the transfer discount rate of each vehicle which can not be continuously put into use is calculated, and the specific analysis process is as follows: according to the brand and model of each vehicle which can not be continuously used, extracting second-hand market standard pricing of each vehicle which can not be continuously used from a cloud database, and marking the second-hand market standard pricing as p i′ Wherein i ' represents the number of each vehicle which cannot be continuously put into use, i ' =1 ',2',..n ', and the use coefficient and the maintenance coefficient of each vehicle which cannot be continuously put into use are extracted from the use coefficient and the maintenance coefficient of each vehicle and are respectively marked as alpha i′ 、χ i′ Analyzing actual pricing of second hand markets where vehicles cannot be continuously put into useThe calculation formula is as follows:extracting the purchase amount of each vehicle which can not be continuously put into use from the purchase amount of each vehicle, and recording the purchase amount as g i′ By the formula->Obtaining the risk-free return rate of each vehicle which can not be continuously put into use, analyzing the transfer discount rate of each vehicle which can not be continuously put into use, and adopting the calculation formula as follows: />Wherein Δp represents a reasonable spread between actual pricing and standard pricing of the set second-hand market of vehicles, +.>A correction factor indicating the set vehicle transfer discount rate.
10. The data analysis based asset full cycle management system of claim 9, wherein: the specific analysis process of judging the transfer requirement of each vehicle which can not be continuously put into use is as follows: and extracting a vehicle allowable transfer discount rate threshold stored in the cloud database, comparing the transfer discount rate of each vehicle which cannot be continuously used with the vehicle allowable transfer discount rate threshold, judging that the vehicle which cannot be continuously used has transfer requirements if the transfer discount rate of the vehicle which cannot be continuously used is larger than the vehicle allowable transfer discount rate threshold, and otherwise judging that the vehicle which cannot be continuously used does not have transfer requirements.
CN202310503379.7A 2023-05-06 2023-05-06 Asset full period management system based on data analysis Pending CN116542466A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117764357A (en) * 2023-12-28 2024-03-26 云宝宝大数据产业发展有限责任公司 Intelligent robot and monitoring combined operation and maintenance intelligent inspection method
CN117875939A (en) * 2024-01-15 2024-04-12 山东祺瑞升软件有限公司 Industrial equipment full period management system based on data analysis

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117764357A (en) * 2023-12-28 2024-03-26 云宝宝大数据产业发展有限责任公司 Intelligent robot and monitoring combined operation and maintenance intelligent inspection method
CN117875939A (en) * 2024-01-15 2024-04-12 山东祺瑞升软件有限公司 Industrial equipment full period management system based on data analysis
CN117875939B (en) * 2024-01-15 2024-06-14 山东祺瑞升软件有限公司 Industrial equipment full period management system based on data analysis

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