泛在物联网下的电力通信干扰过滤技术研究  

Research on Interference Filtering Technique for Power Communication under Ubiquitous Internet of Things

作　　者：石礁 白练 王淑其 SHI Jiao;BAI Lian;WANG Shuqi(Shengsi Country Power Supply Company,State Grid Zhejiang Electric Power Co.,Ltd.,Zhoushan 202450,China)

机构地区：[1]国网浙江省电力有限公司嵊泗县供电公司,浙江舟山202450

出　　处：《自动化仪表》2024年第6期77-82,共6页Process Automation Instrumentation

摘　　要：由于泛在物联网在电力通信应用中的规模远超普通物联网,导致外界设备的干扰会影响电力通信系统的通信质量。为解决这个问题,提出泛在物联网下的电力通信干扰过滤技术。分析了“互联网+”智慧能源架构和泛在物联网架构更容易受到干扰的原因。通过识别泛在物联网下电力通信采集信号的脉冲干扰信息,获取电力通信脉冲噪声稀疏性,计算出电力通信脉冲噪声干扰估计值。利用设计的电力通信干扰过滤器,实现泛在物联网下电力通信干扰过滤。由泛在物联网下电力通信干扰过滤测试、误码率(BER)测试结果可知,电力通信原始信号和加噪信号波形具有相似性,且原始信号与噪声干扰过滤结果相似度较高。该技术可靠性较强。The scale of ubiquitous Internet of Things in power communication applications is much larger than that of ordinary Internet of Things,which leads to the interference of external devices that can affect the communication quality of power communication systems.To solve this problem,the interference filtering technique for power communication under ubiquitous Internet of Things is proposed.The reasons why the“Internet+”smart energy architecture and the ubiquitous Internet of Things architecture are more susceptible to interference are analyzed.By identifying the impulse interference information of the power communication collection signals under ubiquitous Internet of Things,the power communication impulse noise sparsity is obtained,and the power communication impulse noise interference estimation is calculated.The designed power communication interference filter is utilized to realize the power communication interference filtering under ubiquitous Internet of Things.From the results of power communication interference filtering test and bit error rate(BER)test under ubiquitous Internet of Things,the power communication original signal and noise addition signal waveforms have similarity and the similarity between the original signal and noise interference filtering results is high.The reliability of the technique is strong.

关 键 词：泛在物联网 电力通信干扰过滤 过滤器 噪声干扰估计 脉冲干扰信息 噪声稀疏性 

分 类 号：TH703[机械工程—仪器科学与技术]