锅炉技术2026，Vol.57Issue(4)：62-67,6.
燃煤锅炉屏式过热器结渣可视化在线监测技术应用研究
Research on the Application of Visual Online Monitoring Technology for Slagging in the Platen Superheater of Coal-Fired Boilers
杨倩 1王晓涛 1温小豪 2刘逸 1李培2
作者信息
- 1. 陕西榆林能源集团杨伙盘煤电有限公司,陕西榆林 719316
- 2. 浙江大学热能工程研究所能源高效清洁利用全国重点实验室,浙江 杭州 310027
- 折叠
摘要
Abstract
To achieve visual online monitoring of slagging in the platen superheaters,a system was designed for capturing in-furnace images with a camera that can be extended into the furnace.The system automatically captures images of the bottom of the platen superheater at set intervals during the boiler's hot-state operation.Using the YOLOv8-based improved YOLO-LTC image recognition algorithm,the captured video of the platen superheater slagging was subjected to recognition and training.The results show that the in-furnace image acquisition system operates continuously and stably,reducing the workload of manual observation.The improved YOLO-LTC algorithm can effectively identify the slagging proportions of the platen superheater at different times and display them in real time on the DCS system page,realizing the online monitoring of slagging in the platen superheater.In the recognition results,the number of severely slagged samples only accounts for 4.20％,and the dates are rather scattered,indicating that the current soot blowing frequency for the platen superheater is too high and it can be appropriately reduced in the future.关键词
屏式过热器/结渣可视化/图像识别/在线监测/YOLOv8Key words
platen superheater/slagging visualization/image recognition/online monitoring/YOLOv8分类
能源科技引用本文复制引用
杨倩,王晓涛,温小豪,刘逸,李培..燃煤锅炉屏式过热器结渣可视化在线监测技术应用研究[J].锅炉技术,2026,57(4):62-67,6.
