Study on UAV Parallel Planning System for Transmission Line Project Acceptance Under the Background of Industry 5.0

In the context of Industry 5.0, in this article, we study the cyber-physical-social systems in unmanned aerial vehicles (UAVs) based on the task background of transmission line project acceptance. First, based on the idea of a parallel system, a parallel UAV planning system for transmission line pro...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on industrial informatics 2022-08, Vol.18 (8), p.5537-5546
Main Authors: Liu, Haishi, Sun, Yuxuan, Cao, Jianing, Chen, Shiyun, Pan, Nan, Dai, Yujiao, Pan, Dilin
Format: Article
Language:English
Subjects:
Algorithms
Cyber–physical–social systems (CPSS)
Energy consumption
Industries
Mathematical models
parallel systems
Particle swarm optimization
Planning
Power transmission lines
Swarm intelligence
Task analysis
Trajectory planning
transmission line project acceptance
Transmission lines
UAVs for Industry 5.0
Unmanned aerial vehicles
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In the context of Industry 5.0, in this article, we study the cyber-physical-social systems in unmanned aerial vehicles (UAVs) based on the task background of transmission line project acceptance. First, based on the idea of a parallel system, a parallel UAV planning system for transmission line project acceptance tasks is developed. The mathematical model based on swarm intelligence is then constructed from the multidimensional perspective of improving the acceptance efficiency, shortening the acceptance time, and reducing the energy consumption. This is done based on the physical system data while considering the constraints of UAVs in performing acceptance tasks. Experiments are simulated based on the actual environment data of the quality supervision and acceptance of a 500 kV transmission line project in a plateau area before it is put into production. The obtained results are compared with those of other similar cutting-edge algorithms. The efficiency and practicality of the proposed artificial parallel planning system are finally verified.
ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2022.3142723