作者：许俊¹, 成丽波¹, 邓涛¹, 牛嘉兴¹, 郭锡文², 李林峰², 谢曦³

作者单位：1. 国家能源集团宝庆发电有限公司，湖南 邵阳 422000;
2. 湖南中电智航科技有限公司，湖南 长沙 410000;
3. 国网湘西供电公司输电检修公司，湖南 吉首 422000

关键词：电站烟囱腐蚀；腐蚀机理;智能化检测与分析;外壁临界温度模型

摘要：

烟囱腐蚀的监测工作变得日益重要，传统的烟囱腐蚀监测方法不但需要大量人力与经济成本，还存在严重的安全隐患。因此该文提出将红外技术应用到烟囱腐蚀检测中，利用无损检测技术得到烟囱外壁的红外热像温度分布图，结合传热学理论推导烟囱内衬失效下外壁的临界温度计算公式，依据临界温度判断烟囱内壁的腐蚀类型与腐蚀程度。进一步提出缺陷深度的理论计算模型，以辅助烟囱腐蚀情况的判断。通过相应的试验研究与实际应用实践来分析红外检测烟囱腐蚀的规律、验证所提理论方法的可行性。结果表明：所提方法对于最大深度为4 cm、最大面积为20 cm×20 cm的缺陷具有良好的辨识度，该文所提出的理论和方法具有可行性和准确性。

Research on intelligent detection and analysis method of power station chimney corrosion
XU Jun¹, CHENG Libo¹, DENG Tao¹, NIU Jiaxing¹, GUO Xiwen², LI Linfeng², XIE Xi³
1. National Energy Group Baoqing Power Generation Co., Ltd., Shaoyang 422000, China;
2. Hunan Zhongdian Zhihang Technology Co., Ltd., Changsha 410000, China;
3. Power Transmission Maintenance Company of State Grid Xiangxi Power Supply Company, Jishou 422000, China
Abstract: The monitoring of chimney corrosion has become increasingly important. The traditional monitoring method of chimney corrosion not only requires a lot of manpower and economic costs, but also has serious potential safety hazards. Therefore, this paper proposes to apply infrared technology to the corrosion detection of chimneys, obtain the infrared thermal image temperature distribution map of the outer wall of chimneys using nondestructive testing technology, and deduce the calculation formula of the critical temperature of the outer wall under the failure of the chimney lining in combination with the heat transfer theory, and judge the corrosion type and degree of the inner wall of chimneys according to the critical temperature. Furthermore, a theoretical calculation model of the defect depth is proposed to assist the judgment of the chimney corrosion. Through the corresponding experimental research and practical application, the law of infrared detection of chimney corrosion is analyzed, and the feasibility of the proposed theoretical method is verified. The results show that, the proposed method is suitable for a maximum depth of 4 cm and a maximum area of 20 cm×20 cm defect with good identification. The theory and method proposed in this paper are feasible and accurate.
Keywords: power station chimney corrosion: corrosion mechanism;intelligent detection and analysis;critical temperature model of outer wall
2023, 49(4):45-51  收稿日期: 2022-10-27;收到修改稿日期: 2023-01-18
基金项目:
作者简介: 许俊(1984-),男,湖南邵阳市人,高级工程师,研究方向为建构筑物的管理与研究
参考文献
[1] 李爱莲, 郭志斌, 解韶峰, 等. 蚁群和粒子群混合优化SVM的钢板表面缺陷分类研究[J]. 中国测试, 2020, 46(1): 110-116
[2] 关贤军, 郭玲, 单伽锃, 等. 基于无人机成像的烟囱表面缺陷检测技术研究[J]. 北京建筑大学学报, 2022, 38(3): 77-83
[3] 李海龙. 某发电工程烟囱检测与可靠性鉴定[J]. 山西建筑, 2022, 48(12): 37-40
[4] 康天明. 电站锅炉烟囱检测方法与维修技术探讨[J]. 工业安全与环保, 2010, 36(4): 46-47
[5] 张松柯. 开洞钢筋混凝土烟囱受力性能分析与补强参数研究[D]. 大连: 大连理工大学, 2022.
[6] 王超. 既有钢筋混凝土烟囱的现场检测[J]. 中国建材科技, 2022, 31(2): 127-129
[7] 李益德. 火力发电厂烟囱防腐存在的问题及建议[J]. 应用能源技术, 2022(2): 27-29
[8] 伊蒙生. 湿法脱硫烟囱的防腐设计[J]. 化肥设计, 2021, 59(6): 19-20+55
[9] 朱文中, 王晓霞, 车方, 等. 燃煤电厂湿烟囱防腐技术研究[J]. 化工管理, 2021(32): 142-143+175
[10] 周业绩. 湿法脱硫烟囱防腐改造建议及改造实例[J]. 山西电力, 2021(1): 67-69
[11] 董礼男, 周莉莉, 朱春要, 等. 高频感应燃烧红外吸收法测定轧钢含油污泥中硫含量[J]. 中国测试, 2022, 48(10): 68-72
[12] 王晨, 顾永强. 小型风力发电机叶片的红外无损检测研究[J/OL]. 中国测试: 1-6[2022-11-23]. http://kns.cnki.net/kcms/detail/51.1714.TB.20220510.1842.012.html.
[13] 刘鑫, 欧渊, 冯富强, 等. 靶机红外特性实验与建模研究[J]. 中国测试, 2020, 46(11): 153-157