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机构地区:[1]College of Electrical Engineering,Liaoning University of Technology,Jinzhou,121001,China
出 处:《Journal of Electronic Research and Application》2025年第1期233-239,共7页电子研究与应用
摘 要:To improve the efficiency and accuracy of path planning for fan inspection tasks in thermal power plants,this paper proposes an intelligent inspection robot path planning scheme based on an improved A^(*)algorithm.The inspection robot utilizes multiple sensors to monitor key parameters of the fans,such as vibration,noise,and bearing temperature,and upload the data to the monitoring center.The robot’s inspection path employs the improved A^(*)algorithm,incorporating obstacle penalty terms,path reconstruction,and smoothing optimization techniques,thereby achieving optimal path planning for the inspection robot in complex environments.Simulation results demonstrate that the improved A^(*)algorithm significantly outperforms the traditional A^(*)algorithm in terms of total path distance,smoothness,and detour rate,effectively improving the execution efficiency of inspection tasks.
关 键 词:Power plant fans Inspection robot Path planning Improved A^(*)algorithm
分 类 号:TP2[自动化与计算机技术—检测技术与自动化装置]
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