摘要
智能机器人、移动作业终端的应用加速了变电站的无人值守,需对此等各类设备进行统一网络管理和监控,尤其是对非法接入的终端要进行检测和甄别。由于无法排除非法终端伪造MAC地址信息的可能性,因此需以位置信息作为终端身份标识,从而实现对于非法终端的检测甄别。目前,对于机器人的定位方法主要有计算距离法与数据库匹配法。本文结合三角距离计算与数据库匹配法得出一种新的融合定位算法,依据信息论中信息熵的概念确定熵权,提高智能机器人定位准确度,提升对非法终端的检测能力。
The use of intelligent robots and mobile operation terminals accelerates the speed of the realization of unattended substation. These wireless terminals need to be managed and monitored in a unified way. In particular, the illegal access terminal must be detected and screened. For the reason that the possibility of forging MAC address information of illegal terminal cannot be excluded. Location information is used as the terminal identity, so it can be detected and illegal terminals can be discriminated. At present, the distance calculation localization method and the database matching localization method have been proposed. In this paper, combining with the triangle distance calculation method and database matching method, a new entropy weight fusion localization algorithm is provided. The algorithm determines the entropy weight according to the concept of information entropy in the information theory. It improves the intelligent robot positioning accuracy and the ability to detect illegal terminal.
作者
籍天明
庄岭
俞俊
朱广新
王召
缪静文
JI Tian-ming;ZHUANG Ling;YU Jun;ZHU Guang-xin;WANG Zhao;MIAO Jing-wen(NARI Group Co.,Ltd. (State Grid Electric Power Research Institute Co.,Ltd.),Nanjing 210000,China;State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 210000,China)
出处
《计算机与现代化》
2019年第4期114-117,126,共5页
Computer and Modernization
基金
国网江苏省电力有限公司科技项目(SGJS0000KXJS1700458)
关键词
终端身份
位置信息
熵权融合
定位算法
入侵检测
terminal identity
location information
entropy weight fusion
location algorithm
intrusion detection