Title:
BIG DATA-BASED NEW ENERGY VEHICLE OVERLOAD DETECTION METHOD
Document Type and Number:
WIPO Patent Application WO/2022/213596
Kind Code:
A1
Abstract:
Disclosed is a big data-based new energy vehicle overload detection method. By means of calculating overload energy consumption probabilities of vehicles of the same type on the same road segment and comparing same with processed traffic control historical data, it can be determined whether a target new energy vehicle is overloaded, which overcomes the complex one-vehicle-at-a-time vehicle inspection methods in the prior art, fully giving play to the advantages of new energy vehicles and big data platforms, and significantly increases the efficiency of overload checking and reduces costs. Taking into account the calculation of the average speed probability of a target vehicle, overloaded may be distinguished as overloaded and speeding or overloaded but not speeding, such that an overloaded target vehicle in a low-speed low-energy-consuming state can be effectively discovered, thereby avoiding inspection result omissions or misidentification of a target that is only speeding as being overloaded, ensuring the accuracy of the method. A person skilled in the art may more flexibly choose, according to the teaching provided by the described method, whether to adjust the accuracy of a result with reference to a subsequent detection process of an average speed.
Inventors:
WANG ZHENPO (CN)
LIU PENG (CN)
ZHANG PUCHEN (CN)
ZHANG ZHAOSHENG (CN)
WU YE (CN)
QU CHANGHUI (CN)
LIU PENG (CN)
ZHANG PUCHEN (CN)
ZHANG ZHAOSHENG (CN)
WU YE (CN)
QU CHANGHUI (CN)
Application Number:
PCT/CN2021/129476
Publication Date:
October 13, 2022
Filing Date:
November 09, 2021
Export Citation:
Assignee:
BEIJING INSTITUTE TECH (CN)
International Classes:
G06F17/18
Foreign References:
| CN113158141A | 2021-07-23 | |||
| CN111762096A | 2020-10-13 | |||
| CN108860011A | 2018-11-23 | |||
| US20170309093A1 | 2017-10-26 |
Attorney, Agent or Firm:
BEIJING CHENGHUI LAW FIRM (CN)
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