计算机视觉在工业领域的应用研究:以配电网工程为重点

Современные инновации, системы и технологии - Modern Innovations, Systems and Technologies Pub Date : 2023-03-20 DOI:10.47813/2782-2818-2023-3-1-0401-0410

Fan Ke, Huang Chen-Yu, Liu Weijia, He Kun, Shi Bin, Wu Yanyou

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引用次数: 0

摘要

配电网的运行目前面临着潜在的安全和质量缺陷，这些缺陷构成了重大的危害。在配电网工程中应用深度检测网络进行动态缺陷检测是加强管理、减少人工工作量、提高效率和质量的一种解决方案。首先，对配电网工程中的缺陷进行了分类。然后，对先进深度检测网络及其在动态缺陷检测中的应用进行了研究和分析，并对现有研究进行了综述。总结了深度检测网络在配电网工程动态缺陷检测中应用的关键问题及其解决方案。最后，对未来的研究方向进行了探讨，以期为今后的研究提供有价值的参考。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Research on computer vision application in industry field: focus on distribution network engineering

The operation of distribution networks is currently facing potential safety and quality defects that pose significant hazards. One solution to strengthen management, reduce manual workload, and improve efficiency and quality is by applying deep detection networks for dynamic defect detection in distribution network engineering. To start, defects in distribution network engineering are classified. Then, advanced deep detection networks and their applications in dynamic defect detection are researched and analyzed, along with a review of existing research. Key issues and their solutions for deep detection network application in dynamic defect detection in distribution network engineering are summarized. Finally, future research directions are explored to provide valuable references for future studies.

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Современные инновации, системы и технологии - Modern Innovations, Systems and Technologies

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