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A path planning method for robot patrol inspection in chemical industrial parks

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  • 国家科技期刊平台
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Safety patrol inspection in chemical industrial parks is a complex multi-objective task with mul-tiple degrees of freedom.Traditional pointer instruments with advantages like high reliability and strong adaptability to harsh environment,are widely applied in such parks.However,they rely on manual readings which have problems like heavy patrol workload,high labor cost,high false posi-tives/negatives and poor timeliness.To address the above problems,this study proposes a path plan-ning method for robot patrol in chemical industrial parks,where a path optimization model based on improved iterated local search and random variable neighborhood descent(ILS-RVND)algorithm is established by integrating the actual requirements of patrol tasks in chemical industrial parks.Fur-ther,the effectiveness of the model and algorithm is verified by taking real park data as an example.The results show that compared with GA and ILS-RVND,the improved algorithm reduces quantifica-tion cost by about 24%and saves patrol time by about 36%.Apart from shortening the patrol time of robots,optimizing their patrol path and reducing their maintenance loss,the proposed algorithm also avoids the untimely patrol of robots and enhances the safety factor of equipment.

path planningrobot patrol inspectioniterated local search and random variable neighborhood descent(ILS-RVND)algorithm

王伟峰、YANG Ze、LI Zhao、ZHAO Xuanchong

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School of Safety Science and Engineering,Xi'an University of Science and Technology,Xi'an 710054,P.R.China

国家重点研发计划国家自然科学基金Shaanxi Key Research and Development Plan ProjectYulin Science and Technology Plan Project

2021YFE0105000520742132021SF-472CXY-2020-036

2024

10.3772/j.issn.1006-6748.2024.02.001

高技术通讯(英文版)
中国科学技术信息研究所（ISTIC）

高技术通讯(英文版)

影响因子：0.058
ISSN：1006-6748
年,卷(期)：2024.30(2)
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