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To address the issue of “blind areas” while the device is operating and the challenge of live cleaning UHV (Ultra High Voltage) insulation, a UAV (Unmanned Aerial Vehicle) system capable of live dry ice decontamination is developed. In this work, the hardware equipment and software implementation of the UAV system for dry ice decontamination are designed. The Bat-BP optimization algorithm is used to create the optimization model of the insulator dry ice cleaning parameters. Using the prediction model, a substantial amount of data on the cleaning parameters and cleaning effects may be obtained in a constrained number of experiments, improving the cleaning parameters’ optimization effect and enabling the live dry ice cleaning of UHV insulators. Finally, the influence of relevant parameters on insulator cleaning is studied through experiments. Both the viability of the live dry ice decontamination UAV operation and the accuracy and practicability of the optimization model of the dry ice cleaning parameters of the UAV system are confirmed.

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A Bat-BP Optimization Algorithm Based System of Dry Ice Decontamination for UAV

  • 会议论文

  • 发表日期：

    2025年

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  • Zhonghua Shi,
  • Xiaojuan Xiong,
  • Xiaowen Cai,
  • Yangzhuo Chen,
  • Zhixuan Zhang,
  • Yaqi Liu,
  • Jiaqi Zhang

摘要

To address the issue of “blind areas” while the device is operating and the challenge of live cleaning UHV (Ultra High Voltage) insulation, a UAV (Unmanned Aerial Vehicle) system capable of live dry ice decontamination is developed. In this work, the hardware equipment and software implementation of the UAV system for dry ice decontamination are designed. The Bat-BP optimization algorithm is used to create the optimization model of the insulator dry ice cleaning parameters. Using the prediction model, a substantial amount of data on the cleaning parameters and cleaning effects may be obtained in a constrained number of experiments, improving the cleaning parameters’ optimization effect and enabling the live dry ice cleaning of UHV insulators. Finally, the influence of relevant parameters on insulator cleaning is studied through experiments. Both the viability of the live dry ice decontamination UAV operation and the accuracy and practicability of the optimization model of the dry ice cleaning parameters of the UAV system are confirmed.