基于CCD视频可视化的空预器积灰实时监测系统的设计  

Design of Real-Time Monitoring System for Dust Accumulation in Air Preheater Based on CCD Video Visualization

作　　者：钱天石 方晶剑 施陆兴 张春晖 宣骏 QIAN Tianshi;FANG Jingjian;SHI Luxing;ZHANG Chunhui;XUAN Jun(Zhejiang Zheneng Jiahua Power Generation Co.,Ltd.,Pinghu,Zhejiang 314201,China;Shanghai Oriental Maritime Engineering Technology Co.,Ltd.,Shanghai 200011,China)

机构地区：[1]浙江浙能嘉华发电有限公司,浙江平湖314201 [2]上海市东方海事工程技术有限公司,上海200011

出　　处：《自动化应用》2025年第7期229-232,共4页Automation Application

摘　　要：针对电站锅炉回转式空气预热器转子蓄热元件运行时无法监测积灰的问题,开发了一种基于CCD视频可视化的智能识别系统,结合人工智能技术对蓄热元件的积灰状态进行智能识别,并发出报警信号。该系统通过工业CCD视频摄像机获取实时图像,基于AlexNet模型开发了智能识别算法,并设计了实时监测系统。该系统成功应用于我国某600 MW火电机组,结果显示,其能够准确地对空预器积灰状态进行分等级识别,实现了空预器转子蓄热元件积灰的实时预警,极大提高了回转式空气预热器运行的可靠性和安全性。A smart recognition system based on CCD video visualization has been developed to address the issue of inability to monitor ash accumulation during the operation of rotary air preheater rotor heat storage components in power plant boilers.The system combines artificial intelligence technology to intelligently recognize the ash accumulation status of the heat storage components and issue alarm signals.The system obtains real-time images through industrial CCD video cameras,develops intelligent recognition algorithms based on the AlexNet model,and designs a real-time monitoring system.The system has been successfully applied to a 600 MW thermal power unit in China,and the results show that the system can accurately classify the ash accumulation status of the air preheater,achieve real-time warning of ash accumulation in the rotor heat storage element of the air preheater,and greatly improve the reliability and safety of the operation of the rotary air preheater.

关 键 词：视频监控 回转式空气预热器 积灰 图像识别 人工智能 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]