Data acquisition method in rechargeable group car intelligence

A data acquisition and intelligent technology, applied to the work of unmanned vehicle navigation and data acquisition, and the intelligent field of rechargeable group vehicles, can solve the problems of not considering the charging mechanism, not being practical enough, and non-central control.

Active Publication Date: 2020-01-07
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF3 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage of the existing technology: it must be based on the central control, and it solves the underlying dynamic network under the intelligent problem of group vehic

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Data acquisition method in rechargeable group car intelligence
  • Data acquisition method in rechargeable group car intelligence
  • Data acquisition method in rechargeable group car intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0097] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0098] In this example, the collection is used To represent unmanned vehicles in the current 2D scene, these mobile terminals collect data or charge themselves by constantly moving. The boundary of this area was designed during the simulation process, and in the past, the unmanned vehicle moved to an area that was not related to the task. To be more general, this example assumes that PoI data points, each data point is set with a certain amount of data collection is required. set collection It means that there are C charging stations in this area, each of which is connected to the national grid and has sufficient energy supply. In addition, there are obstacles in some places, such as buildings and construction sites. For unmanned vehicles, they may also represent roads or facilities that are being repaired. Unmanned vehicles cannot collide wit...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a data acquisition method in rechargeable group car intelligence. The e-Divert framework disclosed by the invention is combined with an Ape-X mechanism, an MADDPG algorithm andan empirical multiplexing mechanism with priority and LSTM, which is a novel distributed multi-agent reinforcement learning algorithm; and the empirical multiplexing mechanism with priority and LSTMis one of the innovation points of the invention. A priority empirical multiplexing mechanism and an LSTM mechanism are integrated in the mechanism. According to the method, the model can model the N-step time sequence, the environment is effectively explored and optimized, competition and cooperation mechanisms among multiple unmanned vehicles can be better learned, and automatic charging endurance is effectively realized, so that the energy utilization rate, the data acquisition rate and the acquisition breadth are improved, and meanwhile, the energy consumption ratio is effectively reduced.

Description

technical field [0001] The invention belongs to the technical field of rechargeable group vehicle intelligence, and in particular relates to a data acquisition method in rechargeable group vehicle intelligence. The invention is specifically applied to the working field of unmanned vehicle navigation and data acquisition. Background technique [0002] At present, group car intelligence has been better and better developed. Different from the traditional collection methods that require professionals, Qunche Intelligence considers the use of unmanned equipment such as unmanned vehicles for more effective data collection. These unmanned vehicles are generally equipped with high-precision sensors, which can collect a larger range of data than ordinary collection devices (such as mobile phones and other wearable devices). In order to better use unmanned vehicles, consider setting up charging stations at designated locations, but unmanned vehicles need to decide when to temporaril...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q10/06G06N3/04G06N3/08H04L29/08
CPCG06Q10/06311G06N3/08H04L67/12G06N3/045Y02T90/16
Inventor 刘驰戴子彭辛高枫
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap