摘要
锅炉是燃煤电站最重要的设备之一,关系到电力生产的安全稳定。由于结焦和爆管等因素,目前电站锅炉的检修主要依靠人工开展。利用无人机等智能设备开展炉膛巡视和检修,能够降低检修成本,提高检修效率和安全性。受限于炉膛昏暗和多灰的环境,无人机巡视图像通过光学校正、去噪及去模糊后,获得了高分辨率图像。利用该图像可以开展人工巡检和智能识别,解决了电站锅炉无人机巡检视频图像质量不高的难题。
Boiler is one of the most important equipment in coal-fired power plant, which is related to the safety and stability of power production. Due to coking and tube burst and other factors, the current maintenance of utility boilers mainly depends on manual work. Using UAV and other intelligent equipment to carry out inspection and maintenance can reduce maintenance cost and improve maintenance efficiency and safety. Limited by the dark and dusty environment of the furnace, the UAV patrol image obtains a high-resolution image after optical correction, denoising and deblurring. The image can be used for manual patrol inspection and intelligent recognition, and the problem of low video image quality of UAV patrol inspection of utility boiler is solved.
作者
张坚群
Zhang Jianqun(Yueqing Power Generation Co.,Ltd.,Zhejiang,Wenzhou,325609,China)
出处
《仪器仪表用户》
2022年第5期95-99,83,共6页
Instrumentation
关键词
炉膛
无人机
巡检
图像增加
智能识别
furnace
UAV
inspection
image increase
intelligent identification
