基于身份识别技术的电网调度指令管控系统设计  

Design of grid dispatching instruction management system based on identification technology

作　　者：张叶青 余乐庭 吴颖骢 周一 黃屹俊 ZHANG Yeqing;YU Leting;WU Yingcong;ZHOU Yi;HUANG Yijun(Electric Power Dispatching&Control Center of SMEPC,Shanghai 200120,China)

机构地区：[1]国网上海市电力公司调度控制中心,上海200120

出　　处：《电子设计工程》2020年第21期33-37,共5页Electronic Design Engineering

基　　金：上海电力公司科学技术项目(SGTYHT/17-JS-199)。

摘　　要：针对电网调度指令管控系统中的交互系统设计与站端身份安全认证问题,使用U-Net神经网络,对指纹图像特征提取与分析,建立了生物指纹识别前端认证系统;同时,为站端身份安全认证建立了准确高效的认证流程。该认证流程拥有合理高效的数据交互逻辑,有力保障了电网调度指令管控系统。文中还在C/S网络架构基础上设计系统数据交互算法,建立了基于KDC的调度认证管控系统。最后,在智能配电终端上验证了文中所设计系统的性能。结果表明,该系统的身份认证速度低于60 ms/次,可以将电力系统自动化程度提高到89%以上。Aiming at the problem of interaction system design and station identity security authentication in the power grid dispatching command management and control system,U⁃Net neural network is used to extract and analyze fingerprint image features,and a front⁃end authentication system of biometric fingerprint recognition is established.At the same time,it establishes an accurate and efficient authentication process for station identity security authentication,which has reasonable and efficient data interaction logic,and effectively guarantees the power grid dispatching instruction management and control system.Based on the C/S network architecture,the algorithm of data interaction is designed,and the KDC based scheduling authentication management and control system is established.Finally,the performance of the system is verified on the intelligent distribution terminal.The results show that the speed of authentication is less than 60 ms/time,which can improve the automation of the power system to more than 89%.

关 键 词：交互系统设计 站端身份认证 神经网络 指纹识别技术 

分 类 号：TN98[电子电信—信息与通信工程] TP393[自动化与计算机技术—计算机应用技术]