摘要
传统电厂设备运行状态识别方法存在精度低、耗时长,为此设计了一种基于巡检机器人的电厂设备运行状态自动识别方法。利用巡检机器人采集电厂设备运行参数,采用滑动窗口模型实时处理设备正常运行阶段的SCADA数据,拟合处理待分析的电厂设备运行状态参数,利用电厂设备输入和输出运行参数之间的函数关系,设计电厂设备运行状态自动识别流程,得到电厂设备运行状态自动识别结果。实验结果表明,基于巡检机器人的电厂设备运行状态自动识别方法在识别精度和耗时方面均具有明显优势,可以在实际中推广。
Aiming at the problems of low precision and time consumption in traditional power plant equipment operating state identification methods,an automatic identification method of power plant equipment operating state based on inspection robot is designed.It uses inspection robot gathering power plant equipment operating parameters,and uses the sliding window model to process the SCADA data of real-time processing equipment.The fitting process of power plant equipment running status parameters is analyzed and function relationship between the input and output operation parametersare used to design of power plant equipment running status.The results of automatic identification of operating state of power plant equipment are obtained.The experimental results show that the automatic identification method of power plant equipment running state based on inspection robot has obvious advantages in terms of identification accuracy and time consumption,and can be popularized in practice.
作者
麻建中
王林刚
胡凯波
MA Jianzhong;WANG Lingang;HU Kaibo(Zhejiang Zheneng Lanxi Power Generation Co.,Ltd.,Jinhua 321100,China)
出处
《微型电脑应用》
2022年第11期60-63,共4页
Microcomputer Applications
基金
智能发电厂无人巡视与智能安监的应用研究项目(ZNKJ-2020-029)。
关键词
巡检机器人
电厂设备
运行状态
自动识别
patrol robot
power plant equipment
running status
automatic identification
作者简介
麻建中(1972-),男,本科,高级工程师,研究方向为智能发电厂无人巡视的应用;王林刚(1978-),男,本科,高级工程师,研究方向为智能发电厂无人巡视的应用;胡凯波(1983-),男,本科,高级工程师,研究方向为智能发电厂无人巡视的应用。
