CN111523945A - Computing system for electrically driving and leasing high-altitude vehicle residual value based on data of Internet of things - Google Patents
Computing system for electrically driving and leasing high-altitude vehicle residual value based on data of Internet of things Download PDFInfo
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- CN111523945A CN111523945A CN202010344555.3A CN202010344555A CN111523945A CN 111523945 A CN111523945 A CN 111523945A CN 202010344555 A CN202010344555 A CN 202010344555A CN 111523945 A CN111523945 A CN 111523945A
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Abstract
The invention provides a computing system for electrically driving and leasing a high-altitude vehicle residual value based on data of the Internet of things, which comprises a data acquisition device of the Internet of things, a high-altitude vehicle operation management module, a data storage and comprehensive evaluation coefficient computing and processing module and a residual value computing module; the Internet of things data acquisition device and the high-altitude vehicle operation management module are connected with the electrically-driven high-altitude vehicle; the data storage and comprehensive evaluation coefficient calculation processing module is respectively connected with the Internet of things data acquisition device, the overhead vehicle operation management module and the residual value calculation module. The invention provides a system capable of accurately calculating the residual value of an electrically-driven overhead vehicle and a method for fully automatically calculating the residual value of the electrically-driven overhead vehicle, which effectively solve the problems of error, misjudgment, labor consumption and the like existing in the conventional manual calculation of the residual value of the vehicle, reduce the capital risk of rental enterprises and improve the human efficiency of the enterprises.
Description
Technical Field
The invention belongs to the technical field of rental high-altitude vehicle data processing, and particularly relates to a computing system for electrically driving rental high-altitude vehicle residual value based on data of the Internet of things.
Background
In recent years, with the increasing labor cost in China, the high-altitude vehicle can greatly improve the labor efficiency and reduce the labor cost, the high-altitude vehicle industry is greatly developed, and particularly, the high-altitude vehicle leasing industry participates in the high-altitude vehicle operation more and more widely. In the high-altitude car leasing industry, electrically-driven high-altitude cars occupy a large proportion, leasing enterprises need to process old cars and updated cars periodically to update and process which car is the same, and the residual value of the car depends on many factors. The high-empty vehicle residual value is not accurately calculated, wrong purchasing is updated, long-term development of rental enterprises is not facilitated, and trouble may be brought to companies by wrong decision.
Therefore, it is an urgent problem for those skilled in the art to develop a system or method capable of accurately calculating the high altitude car residual value.
Disclosure of Invention
In order to solve the problems, the invention discloses a computing system for electrically driving and leasing high-altitude vehicle residual value based on data of the Internet of things.
In order to achieve the purpose, the invention provides the following technical scheme:
a computing system for electrically driving and leasing high-altitude vehicle residual value based on data of the Internet of things comprises an Internet of things data acquisition device, a high-altitude vehicle operation management module, a data storage and comprehensive evaluation coefficient computing and processing module and a residual value computing module; the Internet of things data acquisition device and the high-altitude vehicle operation management module are connected with the electrically-driven high-altitude vehicle; the data storage and comprehensive evaluation coefficient calculation processing module is respectively connected with the Internet of things data acquisition device, the overhead vehicle operation management module and the residual value calculation module. Furthermore, the data storage and comprehensive evaluation coefficient calculation processing module comprises a data storage module and a comprehensive evaluation coefficient calculation processing module which are connected; the comprehensive evaluation coefficient calculation processing module comprises an original data processing module and a high-altitude vehicle operation management data processing module; the original data processing module collects data through the Internet of things, is connected with the high-altitude vehicle operation management data processing module, and calculates the comprehensive evaluation coefficient of the vehicle through the high-altitude vehicle operation management data processing module. Further, the comprehensive evaluation coefficient is the sum of a vehicle total man-hour factor, a vehicle work load factor, a vehicle failure rate factor, a vehicle maintenance factor and a vehicle appearance factor.
Further, the residual value calculation module calculates the residual value of the rented electrically-driven high-altitude vehicle by combining a reset cost method and vehicle comprehensive evaluation, and the specific calculation method comprises the following steps: vehicle remaining value = market new car price x [ stationary remaining value + floating value x (1-segment depreciation rate) ] × comprehensive evaluation coefficient.
Further, the motionless residue value is 15%; the float value was 85%.
Furthermore, the data acquisition device of the internet of things is a ZN-DAQ multichannel data acquisition device and comprises a data acquisition device and a data transmission device; the data acquisition device is connected with the data storage and comprehensive evaluation coefficient calculation processing module through the data transmission device.
Furthermore, the data acquisition device reads the health state of the storage battery of the overhead truck, the lifting time of the platform, the traveling time of the truck, the fault information of the electrically-driven high-altitude truck and the total working hours of the truck through a CAN bus interface of the electrically-driven high-altitude truck, and transmits the information to the data storage and comprehensive evaluation coefficient calculation processing module through the data transmission device; the data transmission device is any one or more of a 2G module, a 3G module, a 4G module, a 5G module, a LoRa module, a WiFi module and a local area network module.
Furthermore, the high-altitude vehicle operation management module is used for collecting and recording high-altitude vehicle operation data and transmitting the high-altitude vehicle operation data to the data storage and comprehensive evaluation coefficient calculation processing module.
Further, the overhead vehicle operation data includes vehicle purchase warehousing information, vehicle rental information, vehicle maintenance information, vehicle rental inspection information, vehicle maintenance information, and vehicle appearance information.
Compared with the prior art, the invention provides the system capable of accurately calculating the residual value of the electrically-driven overhead vehicle and the method for fully automatically calculating the residual value of the electrically-driven overhead vehicle, effectively solves the problems of error, misjudgment, labor consumption and the like existing in the conventional manual calculation of the residual value of the vehicle, reduces the capital risk of rental enterprises, and improves the human efficiency of the enterprises.
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FIG. 1 is a system block diagram of the present invention.
Detailed Description
The technical solutions provided by the present invention will be described in detail below with reference to specific examples, and it should be understood that the following specific embodiments are only illustrative of the present invention and are not intended to limit the scope of the present invention.
As shown in fig. 1, the invention is a system block diagram, and the invention relates to a computing system for electrically driving and leasing a high-altitude vehicle residual value based on data of internet of things.
The Internet of things data acquisition device and the overhead car operation management module are connected with the electric overhead car.
The data acquisition device of the Internet of things is a ZN-DAQ multichannel data acquisition device and comprises a data acquisition device and a data transmission device; the data acquisition device reads the health state of the storage battery of the overhead vehicle, the lifting time of the platform, the traveling time of the vehicle, the fault information of the electrically-driven high-altitude vehicle and the total working hours of the vehicle through a CAN bus interface of the electrically-driven high-altitude vehicle, and transmits the information to the data storage and comprehensive evaluation coefficient calculation processing module through the data transmission device; the data transmission device is any one or more of a 2G module, a 3G module, a 4G module, a 5G module, a LoRa module, a WiFi module and a local area network module.
The high-altitude car operation management module is used for collecting and recording high-altitude car operation data and transmitting the high-altitude car operation data to the data storage and comprehensive evaluation coefficient calculation processing module, wherein the high-altitude car operation data comprise car purchasing and warehousing information, car leasing information, car maintenance information, car leasing inspection information, car maintenance information and car appearance information.
The data storage and comprehensive evaluation coefficient calculation processing module is respectively connected with the Internet of things data acquisition device, the high-altitude vehicle operation management module and the residual value calculation module; the data storage and comprehensive evaluation coefficient calculation processing module comprises a data storage module and a comprehensive evaluation coefficient calculation processing module which are connected; the comprehensive evaluation coefficient calculation processing module comprises an original data processing module and a high-altitude vehicle operation management data processing module; the original data processing module collects data through the Internet of things, is connected with the high-altitude vehicle operation management data processing module, and calculates the comprehensive evaluation coefficient of the vehicle through the high-altitude vehicle operation management data processing module.
The residual value calculation module calculates the residual value of the rented electrically-driven high-altitude vehicle by combining a reset cost method with vehicle comprehensive evaluation, and the specific calculation method is as follows: vehicle remaining = market new car price × [15% (stationary remaining) +85% (floating value) × (1-segment depreciation rate) ] × comprehensive evaluation coefficient.
The comprehensive evaluation coefficient in the above calculation method is the sum of the vehicle total man-hour factor, the vehicle work load factor, the vehicle failure rate factor, the vehicle maintenance factor and the vehicle appearance factor.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention and not for limiting the technical solutions, and those skilled in the art should understand that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all the modifications and equivalent substitutions should be covered by the claims of the present invention.
Claims (9)
1. The utility model provides a calculation system based on thing networking data electricity drives residual value of renting high-altitude vehicle which characterized in that: the system comprises an internet of things data acquisition device, a high-altitude vehicle operation management module, a data storage and comprehensive evaluation coefficient calculation processing module and a residual value calculation module; the Internet of things data acquisition device and the high-altitude vehicle operation management module are connected with the electrically-driven high-altitude vehicle; and the data storage and comprehensive evaluation coefficient calculation processing module is respectively connected with the Internet of things data acquisition device, the overhead vehicle operation management module and the residual value calculation module.
2. The system for calculating the electric-drive rental high-altitude vehicle residual value based on the data of the internet of things according to claim 1, wherein the system comprises: the data storage and comprehensive evaluation coefficient calculation processing module comprises a data storage module and a comprehensive evaluation coefficient calculation processing module which are connected; the comprehensive evaluation coefficient calculation processing module comprises an original data processing module and a high-altitude vehicle operation management data processing module; the original data processing module collects data through the Internet of things, is connected with the high-altitude vehicle operation management data processing module, and calculates the comprehensive evaluation coefficient of the vehicle through the high-altitude vehicle operation management data processing module.
3. The system for calculating the electric-drive rental high-altitude vehicle residual value based on the data of the internet of things according to claim 2, wherein the system comprises: the comprehensive evaluation coefficient is the sum of a vehicle total man-hour factor, a vehicle work load factor, a vehicle fault rate factor, a vehicle maintenance factor and a vehicle appearance factor.
4. The system for calculating the electric-drive rental high-altitude vehicle residual value based on the data of the internet of things according to claim 1, wherein the system comprises: the residual value calculation module calculates the residual value of the rented electrically-driven high-altitude vehicle by combining a reset cost method with vehicle comprehensive evaluation, and the specific calculation method is as follows: vehicle remaining value = market new car price x [ stationary remaining value + floating value x (1-segment depreciation rate) ] × comprehensive evaluation coefficient.
5. The system for calculating the electric-drive rental high-altitude vehicle residual value based on the data of the internet of things according to claim 4, wherein the system comprises: the motionless residue value is 15%; the float value was 85%.
6. The system for calculating the electric-drive rental high-altitude vehicle residual value based on the data of the internet of things according to claim 1, wherein the system comprises: the data acquisition device of the Internet of things is a ZN-DAQ multichannel data acquisition device and comprises a data acquisition device and a data transmission device; the data acquisition device is connected with the data storage and comprehensive evaluation coefficient calculation processing module through the data transmission device.
7. The system for calculating the electric-drive rental high-altitude vehicle residual value based on the data of the internet of things according to claim 6, wherein the system comprises: the data acquisition device reads the health state of a storage battery of the overhead truck, the lifting time of a platform, the traveling time of the truck, the fault information of the electrically-driven high-altitude truck and the total working hours of the truck through a CAN bus interface of the electrically-driven high-altitude truck, and transmits the information to the data storage and comprehensive evaluation coefficient calculation processing module through the data transmission device; the data transmission device is any one or more of a 2G module, a 3G module, a 4G module, a 5G module, a LoRa module, a WiFi module and a local area network module.
8. The system for calculating the electric-drive rental high-altitude vehicle residual value based on the data of the internet of things according to claim 1, wherein the system comprises: and the high-altitude vehicle operation management module is used for collecting and recording high-altitude vehicle operation data and transmitting the high-altitude vehicle operation data to the data storage and comprehensive evaluation coefficient calculation processing module.
9. The system for calculating the electric-drive rental high-altitude vehicle residual value based on the data of the internet of things according to claim 8, wherein the system comprises: the overhead vehicle operation data comprises vehicle purchasing and warehousing information, vehicle renting information, vehicle maintenance information, vehicle renting and inspection information, vehicle maintenance information and vehicle appearance information.
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Citations (3)
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CN106204138A (en) * | 2016-07-11 | 2016-12-07 | 上海安吉星信息服务有限公司 | A kind of vehicle salvage value rate appraisal procedure and device |
CN110148063A (en) * | 2019-05-22 | 2019-08-20 | 浙江中兴慧农信息科技有限公司 | The residual detection method of agriculture, device, equipment, the residual instrument of agriculture and storage medium |
CN110706039A (en) * | 2019-10-16 | 2020-01-17 | 爱驰汽车有限公司 | Electric vehicle residual value rate evaluation system, method, equipment and medium |
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- 2020-04-27 CN CN202010344555.3A patent/CN111523945A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106204138A (en) * | 2016-07-11 | 2016-12-07 | 上海安吉星信息服务有限公司 | A kind of vehicle salvage value rate appraisal procedure and device |
CN110148063A (en) * | 2019-05-22 | 2019-08-20 | 浙江中兴慧农信息科技有限公司 | The residual detection method of agriculture, device, equipment, the residual instrument of agriculture and storage medium |
CN110706039A (en) * | 2019-10-16 | 2020-01-17 | 爱驰汽车有限公司 | Electric vehicle residual value rate evaluation system, method, equipment and medium |
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