摘要
当前传统FFS算法在强噪声干扰下,数据选择结果精准度较低,针对该问题,提出了基于混沌反馈控制的物联网配网物资数据选择算法研究。依据配网物资供应管理系统功能结构,分析配网物资信息填写流程和配网物资仓储信息填写流程,确定历史资源数据和实时资源数据。描述动态服务资源,设计基于混沌反馈控制物资数据选择模型,并结合历史记录表、资源列表、决策确定具体实现方案。采用中值滤波法去除物联网中强噪声,实现抵抗外界干扰下的物联网配网物资数据选择。实验结果表明,在无噪声干扰下该算法的计算结果精准度保持在80%以上,在有噪声干扰下计算结果精准度保持在75%以上,可靠性较强,改进了传统算法的不足。
Current traditional FFS algorithm has low precision of data selection under strong noise interference.Aiming at this problem,a material data selection algorithm based on chaotic feedback control for Internet of Things(IOT)distribution network is proposed.According to the functional structure of distribution network material supply management system,this paper analyses the filling process of distribution network material information and the filling process of distribution network material storage information,and determines the historical resource data and real⁃time resource data.Describes dynamic service resources,designs material data selection model based on chaotic feedback control,determines the specific implementation scheme combining with historical records,resource lists and decision⁃making,and uses median filtering method to remove strong noise in the Internet of Things to achieve material data selection in the Internet of Things distribution network against external interference.The experimental results show that the accuracy of the algorithm is over 80%without noise interference,and over 75%with noise interference.The reliability of the algorithm is strong,which improves the shortcomings of the traditional algorithm.
作者
吴进伟
苏恺
董文斌
WU Jin-wei;SU Kai;DONG Wen-bin(State Grid Lishui Power Supply Company,Lishui 323000,China;State Grid Longquan Power Supply Company,Longquan 323700,China)
出处
《电子设计工程》
2020年第12期105-108,113,共5页
Electronic Design Engineering
基金
国家青年科学基金项目(J2018017)。
关键词
混沌反馈控制
物联网
配网
物资数据
选择算法
chaotic feedback control
Internet of things
distribution network
material data
selection algorithm
