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  

Application Research of Network Security Protection Method of Intelligent Image Monitoring System Based on Pan-terminal Edge Computing

作　　者：姜渭鹏 张鹏望 何兴谷 JIANG Weipeng;ZHANG Pengwang;HE Xinggu(Dali Bureau,Extra-High Voltage Power Transmission Company of CSG,Dali 671000,Yunnan,China)

机构地区：[1]中国南方电网有限责任公司超高压输电公司大理局,云南大理671000

出　　处：《电力大数据》2023年第4期82-89,共8页Power Systems and Big Data

摘　　要：随着计算机通信技术和网络技术的快速发展,图像处理技术在科学技术领域中的地位愈来愈重要。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。With the rapid development of computer communication technology and network technology,image processing has become increasingly important in the field of science and technology.The advancements in image recognition,edge computing,and AI technology provide more convenient means and abundant iterative data for power monitoring methods,enabling power monitoring systems to move towards digital development in a more convenient and efficient manner.However,the increasing number of devices,changes in computing methods,and larger amounts of data also bring more network security vulnerabilities and risks.In this paper,we discuss the specific approach to network security protection for intelligent image-based power monitoring systems based on pervasive edge computing.The intention is to adopt protection measures that are closer to reality,providing a secure and stable operational guarantee for power intelligent image monitoring systems.

关 键 词：图像识别 电力监控 智能图像 泛终端 网络安全防护 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]