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电力大数据:2023,26(4):-
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基于泛终端边缘计算的智能图像电力监控系统网络安全防护方式的采用和研究
p>姜渭鹏1,2,3, 张鹏望1,2,3, 何兴谷1,2,3
(1.中国南方电网有限责任公司超高压输电公司大理局?2.大理?3.671000)
Equipment selection and application research of transformer video monitoring system in converter station
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投稿时间:2023-05-08    修订日期:2023-05-11
中文摘要: 图像识别、边缘计算和AI技术的不断发展为电力监控方式方法提供了更便捷的手段和更多的迭代数据资料,使电力监控系统更便捷、更高效地迈向数字化发展。但日益增多的设备、计算方式的改变和更大的数据量带来了更多的网络安全漏洞节点和网络安全风险。本文就基于泛终端边缘计算的智能图像电力监控系统网络安全防护方式的采取做了具体的探讨,意图采用更贴近实际的防护手段,为电力智能图像监控系统提供安全稳定的运行保障。
Abstract:The continuous development of image recognition, edge computing and AI technology provides more convenient means and more iterative data for power monitoring methods, making the power monitoring system more convenient and efficient to move towards digital development. But the increasing number of devices, changes in computing methods, and larger amounts of data have brought more network security vulnerabilities and risks to nodes. In this paper, the adoption of network security protection mode of intelligent image power monitoring system based on pan terminal edge computing is specifically discussed, with the intention of adopting more practical protection means to provide safe and stable operation guarantee for power intelligent image monitoring system.
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