火电厂辅机智能监测平台研究与应用  

Intelligent Monitoring Platform for Auxiliary Machinery in Thermal Power Plant

作　　者：杨剑 刘振祥[1] Yang Jian

机构地区：[1]东南大学火电机组振动国家工程研究中心,江苏南京210096

出　　处：《工业控制计算机》2021年第1期4-6,共3页Industrial Control Computer

摘　　要：基于大数据的火电厂辅机智能监测平台通过分布式辅助设备状态监测网,对辅机振动状态进行实时监测与分析;通过联结SIS系统获取温度、开度、电流等运行状态数据,将振动数据与之融合,建立辅助设备运行状态数据库,采用大数据挖掘与人工智能技术实现辅助设备的实时状态评估、故障分析与趋势预测,为火电厂重要辅机的运行管理与维护提供决策依据。Based on big data,the intelligent monitoring platform of auxiliary equipment in thermal power plants can monitor and analyze the vibration state of auxiliary equipment in real time through the distributed monitoring network of auxiliary equipment.By coupling the SIS system,such as temperature,opening,current running status data,the vibration data fusion,establishing database of auxiliary equipment running status,using data mining and artificial intelligence techniques to realize real time state evaluation and auxiliary equipment failure analysis and trend prediction,for operation management and maintenance of the important auxiliary equipment in power plants to provide decision-making basis.

关 键 词：故障检测 大数据 智能 数据平台 

分 类 号：TM621[电气工程—电力系统及自动化] TP311.13[自动化与计算机技术—计算机软件与理论]