Space-space-ground integrated three-dimensional inspection method based on multi-agent volume element reinforcement learning

The invention belongs to the technical field of three-dimensional inspection methods, and particularly relates to a space-air-ground integrated three-dimensional inspection method based on multi-agent volume element reinforcement learning, which comprises the following steps: (S1) modeling a transfo...

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Hauptverfasser: LI XINQIANG, LI TIANFU, YANG XIMING, GAO YI, FU JIANWEN, LIAN YONGCHAO
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creator LI XINQIANG
LI TIANFU
YANG XIMING
GAO YI
FU JIANWEN
LIAN YONGCHAO
description The invention belongs to the technical field of three-dimensional inspection methods, and particularly relates to a space-air-ground integrated three-dimensional inspection method based on multi-agent volume element reinforcement learning, which comprises the following steps: (S1) modeling a transformer substation three-dimensional inspection system; (S2) calculating an operation pitch angle, a yaw angle and a rotation angle of the ground mobile inspection equipment for subsequent calibration; (S3) calculating an operation pitch angle, a yaw angle and a rotation angle of the air mobile inspection equipment for subsequent calibration; (S4) explaining a communication mechanism among the ground mobile inspection equipment, the air mobile inspection equipment and the ground fixed inspection equipment; and (S5) optimizing the performance of the ground mobile inspection equipment and the air mobile inspection equipment by using a multi-agent volume element reinforcement learning algorithm to realize the digitalizat
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
title Space-space-ground integrated three-dimensional inspection method based on multi-agent volume element reinforcement learning
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