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A data collection method in the intelligence of rechargeable group vehicles

A data collection and intelligent technology, applied in the work of unmanned vehicle navigation and data collection, in the field of rechargeable group vehicle intelligence, which can solve problems such as not enough practicality, not considering the charging mechanism, and non-central control.

Active Publication Date: 2022-07-08
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • 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 vehicles, which may not be practical enough in actual business scenarios
Disadvantages are: non-central control; unmanned vehicles are not used; charging mechanism is not considered

Method used

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  • A data collection method in the intelligence of rechargeable group vehicles
  • A data collection method in the intelligence of rechargeable group vehicles
  • A data collection method in the intelligence of rechargeable group vehicles

Examples

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Embodiment Construction

[0097] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0098] Collections are used in this example To represent unmanned vehicles in the current 2D scene, these mobile terminals are constantly moving to collect data or charge themselves. This area is bounded by the design during the simulation process, and in the past, the unmanned vehicle moved to an area unrelated to the mission. For more generality, this example assumes that there are 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 w...

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Abstract

The invention discloses a data collection method in the intelligence of rechargeable group vehicles. The e-Divert framework of the invention combines the Ape-X mechanism, the MADDPG algorithm, and the experience multiplexing mechanism with priority and LSTM, which is a new Distributed multi-agent reinforcement learning algorithm, the experience multiplexing mechanism with priority and LSTM is one of the innovations of the present invention. The mechanism integrates the priority experience multiplexing mechanism and the LSTM mechanism, so that the model can Sequence modeling, and effective exploration and optimization of the environment, can better learn the competition and cooperation mechanism between multiple unmanned vehicles, and effectively automatically charge and continue, thereby improving energy utilization, data collection rate, Acquisition breadth, and at the same time effectively reduce the proportion of energy consumption.

Description

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

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06N3/04G06N3/08H04L67/12
CPCG06Q10/06311G06N3/08H04L67/12G06N3/045Y02T90/16
Inventor 刘驰戴子彭辛高枫
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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