基于物联网的梯级流域电站机电设备运行状态自动监测方法  

Automatic Monitoring Method of Operation Status of Electromechanical Equipment in Cascade Basin Power Stations Based on Internet of Things

作　　者：罗忠 LUO Zhong(Hunan Liancheng Liyujiang Power Generation Co.,Ltd.,Chenzhou,Hunan 423400,China)

机构地区：[1]湖南联诚鲤鱼江发电有限公司,湖南郴州423400

出　　处：《自动化应用》2025年第6期171-172,175,共3页Automation Application

摘　　要：为提升设备性能,提出基于物联网的梯级流域电站机电设备自动监测方法。该方法先基于物联网技术完成无线组网设计,通过传感节点完成梯级流域电站机电设备运行状态的数据获取,然后对数据进行预处理,最后结合支持向量机和粒子群算法,完成梯级流域电站机电设备运行状态自动诊断模型的构建与训练。实验表明,该方法能有效捕捉运行状态信息,提高监测覆盖率,及时发现设备故障及潜在问题。In order to improve equipment performance,this paper proposes an automatic monitoring method of electromechanical equipment of cascade basin power station based on the Internet of Things.This method firstly completes wireless networking design based on the Internet of Things technology,obtains the operating status data of electromechanical equipment of cascade basin power station through sensor nodes,and then preprocesses the data.Finally,it combines support vector machine and particle swarm algorithm to construct and train the automatic diagnosis model of the operating status of electromechanical equipment of cascade basin power station.Experiments show that this method can capture the information of running state effectively,improve the monitoring coverage,and find the equipment faults and potential problems in time.

关 键 词：物联网 梯级流域 水电站 机电设备 自动监测方法 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]