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To address the challenges of ineffective detection of safety equipment and the limited identification scope of current detection models in complex operational environments of distribution networks, this paper proposes an integrated inference method. First, based on Security Dress data sets, the objective characteristics of the three types of detection objects are analyzed, and the object scales of each detection object are determined. Secondly, according to the object scale characteristics of each type of detection object, the three types of detection models are optimized. Finally, the comprehensive detection of safety protective equipment is realized by the integrated inference module, which improves the universality of the model in different operating scenarios.

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Research on Detection Technology of Safety Protective Equipment for Distribution Network Operators

  • 会议论文

  • 发表日期：

    2025年

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  • Tongli Wu,
  • Zhiling Yang,
  • Xinghui Dong,
  • Jia Li,
  • Senye Chen

摘要

To address the challenges of ineffective detection of safety equipment and the limited identification scope of current detection models in complex operational environments of distribution networks, this paper proposes an integrated inference method. First, based on Security Dress data sets, the objective characteristics of the three types of detection objects are analyzed, and the object scales of each detection object are determined. Secondly, according to the object scale characteristics of each type of detection object, the three types of detection models are optimized. Finally, the comprehensive detection of safety protective equipment is realized by the integrated inference module, which improves the universality of the model in different operating scenarios.