物联网技术在电力系统设备状态监测与预测中的应用与优化
Application and Optimization of Internet of Things Technology in Condition Monitoring and Prediction of Power System Equipment
屠金东1
作者信息
- 1. 浙江东宇电气股份有限公司,浙江湖州 313100
- 折叠
摘要
在电力行业中,物联网技术的应用发挥着重要作用.文章详细分析了电力系统设备状态监测方法和故障预测的手段,包括传感器的选型与布置、数据采集与传输、数据处理与特性提取以及预测模型的选取与构建等多个关键环节.同时,针对算法准确性、保护措施与保密性等问题,提出相应的改进措施.
Abstract
In the power industry,the application of Internet of Things technology plays an important role.This paper analyzes in detail the methods of equipment condition monitoring and fault prediction in power system,including the selection and configuration of sensors,data acquisition and transmission,data processing and characteristic extraction,and the selection and construction of prediction models.At the same time,aiming at the accuracy,protection measures and confidentiality of the algorithm,the corresponding improvement measures are put forward.
关键词
物联网技术/电力系统/设备状态监测/状态预测Key words
Internet of Things technology/electric power system/equipment status detection/state prediction引用本文复制引用
出版年
2024
NETL
NSTL
万方数据