摘要
基于声表面波传感的开关柜触头温升无线监测的关键技术进行了剖析,重点研究了无线监测系统集成与优化策略,主要包括系统架构设计、传感器与开关柜的适配布局、无线传输模块选型与组网、数据处理与分析算法以及系统可靠性验证等。介绍了安全与稳定性保障措施,随着声表面波传感的开关柜技术的不断发展,结合人工智能和大数据分析等先进技术,可进一步提升变电设备的状态评估与预测性维护的智能化水平。
This article analyzes the key technologies of wireless monitoring of contact temperature rise in switchgear based on surface acoustic wave sensing,focusing on the integration and optimization strategies of wireless monitoring systems,including system architecture design,sensor and switchgear adaptation layout,wireless transmission module selection and networking,data processing and analysis algorithms,and system reliability verification.The article introduces measures to ensure safety and stability.With the continuous development of surface acoustic wave sensing switchgear technology,combined with advanced technologies such as artificial intelligence and big data analysis,the intelligence level of status assessment and predictive maintenance of substation equipment can be further improved.
作者
苏斌
SU Bin(State Grid Jiangsu Electric Power Co.,Ltd.Suzhou Power Supply Branch,Suzhou 215004,China)
出处
《电工技术》
2025年第S1期305-308,共4页
Electric Engineering
关键词
声表面波传感的开关柜
变电设备
状态评估
预测性维护策略
switch cabinet with surface acoustic wave sensing
substation equipment
state assessment
predictive maintenance strategy
