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作 者:吕进伟 付雄[1] Lv Jinwei;Fu Xiong(School of Computer Science,Nanjing University of Posts and Telecommunications,Nanjing 210023,China)
机构地区:[1]南京邮电大学计算机学院,江苏南京210023
出 处:《电子技术应用》2025年第3期65-69,共5页Application of Electronic Technique
摘 要:随着电力物联网的建设,安全、高效的智能巡检技术是电力行业健康发展的重要保障。智能巡检具有通信要求高、工作环境复杂等特点,通信技术匹配难度较大。首先分析智能巡检业务的特点及其对各类无线通信技术的性能需求,然后提出了一种基于贝叶斯最佳-最差法(Bayesian Best-Worst Method,BBWM)和改进多准则折衷排序法(VIKOR)的智能巡检业务与无线通信适配方法,最后对三种智能巡检业务与无线通信技术进行仿真实验。仿真结果表明,所提方法可以较好解决智能巡检业务与无线通信技术的适配难题。With the construction of Internet of Things in power system,safe and efficient intelligent inspection technology is an important guarantee for the healthy development of the power industry.Intelligent inspection has the characteristics of high communication requirements and complex working environment,so it is difficult to match with wireless technologies.Firstly,it analyzes the characteristics of intelligent inspection service and the requirements for various wireless technologies,and then proposes an adaptation method of intelligent inspection service and wireless technology based on Bayesian Best-Worst Method(BBWM)and improved VIKOR method.Finally,the adaptation simulation experiments of three intelligent inspection services and five wireless technologies are carried out.Experiments show that the proposed method can solve the adaptation problem of intelligent inspection service and wireless technology well.
关 键 词:无线通信技术 适配性分析 BBWM VIKOR法
分 类 号:TM73[电气工程—电力系统及自动化]
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