基于视频处理的引风机静叶故障自动监控技术  

Video Processing Based Auto-Monitoring Technology for Static Blade Failures of Induced Draft Fans

作　　者：张江丰[1] 尹峰[1] 罗志浩[1] 陈小强[1] 童家麟[1] 

机构地区：[1]国网浙江省电力公司电力科学研究院,浙江杭州310014

出　　处：《中国电力》2016年第7期102-105,161,共5页Electric Power

摘　　要：锅炉引风机是火电厂的重要辅机设备,其运行工况对锅炉的热力循环及电厂的安全稳定运行具有重要影响。引风机工作于锅炉烟道中,环境相对比较恶劣,是电厂故障率比较高的设备之一。在视频处理的基础上,引入目标跟踪及状态补偿等前沿算法,提出了一种能够应用于电厂的引风机静叶故障自动监控技术。该技术能够替代人工巡检,主动对静叶进行监控,能够有效避免因引风机静叶拉杆断裂等故障发现不及时导致的电厂运行工况的失衡。The induced draft fan of boilers is a major auxiliary equipment in coal-fired power plants, and its operation conditions are critical on the effectiveness of boiler thermodynamic cycle and the safe and stable operation of the plants. The induced draft fan is installed in the boiler flue, where the operating environment is relatively poor, therefore, it is one of the equipments with higher failure rates. On the basis of video processing and with some leading algorithms such as target tracking and state compensation being introduced, this paper proposes an auto-monitoring technology for the static blade failures of induced draft fans power plants. The technology can replace manual inspection and initiate static blade monitoring, thus can effectively avoid the imbalance of power plant operation caused by the not-timely- found static blade failures.

关 键 词：锅炉 引风机静叶 视频监控 目标跟踪 状态补偿 故障识别 

分 类 号：TM621.2[电气工程—电力系统及自动化]