以实验室中厌氧反应池土工膜结构为研究对象,通过实验研究的方法,使用基于太阳能热波激励的热成像技术进行高密度聚乙烯（HDPE）土工膜结构缺陷检测的探索性研究。所提方法利用太阳能辐射作为热波激励,验证了利用云层遮蔽导致的太阳能辐射短期波动进行红外结构监测的可行性。此外,基于结构的瞬态变温过程应用红外热图像序列降温过程温度变化累加对比的方法,以增强缺陷区域的温度对比度。研究结果表明,利用太阳能辐射波动观察到的结构瞬态温度响应可用于确定土工膜结构是否存在缺陷。
Abstract
Taking the geomembrane floating cover of the anaerobic lagoons in the sewage treatment plant as the research object, through the method of experimental investigation, the thermal imaging technology based on solar thermal wave excitation is adopted to detect the crack defects on the high-density polyethylene （HDPE） geomembrane samples. The proposed method utilizes the naturally occurring heat source （solar radiation） as the thermal wave excitation and verifies the feasibility of exploiting short-term fluctuations in solar radiation thermal wave excitation caused by cloud shading for infrared structure health monitoring. In addition, the transient temperature change process is used to compare the infrared thermal image sequence to enhance the temperature contrast of the defect area. The experiment results suggest that the transient temperature response of structures observed using fluctuations in solar radiation can be used to identify crack defects on the geomembrane. This study provides a reliable detection method for improving the reliability of large-area infrared structural health monitoring without the aid of artificial heat sources outdoors.
关键词
太阳能 /
红外热成像 /
图像处理 /
损伤识别 /
土工膜
Key words
solar energy /
geomembrane /
infrared thermography /
geomembrane /
sewage treatment
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参考文献
[1] CHIU W K, ONG W H, KUEN T, et al.Large structures monitoring using unmanned aerial vehicles[J]. Procedia engineering, 2017, 188: 415-423.
[2] MA Y, ROSE F, WONG L, et al.Detection of defects in geomembranes using quasi-active infrared thermography[J]. Sensors, 2021, 21(16): 5365.
[3] 刘颖韬, 郭广平, 曾智, 等. 红外热像无损检测技术的发展历程、现状和趋势[J]. 无损检测, 2017, 39(8): 63-70.
LIU Y T, GUO G P, ZENG Z, et al.The development history, status and trends of infrared thermographic nondestructive testing[J]. Nondestructive testing technologying, 2017, 39(8): 63-70.
[4] GB/T 28706—2012,无损检测机械及电气设备红外成像检测方法[S].
GB/T 28706—2012, Non-destructive testing test method for mechanical and electrical equipment with infrared thermography[S].
[5] KAFIEH R, LOTFI T, AMIRFATTAHI R.Automatic detection of defects on polyethylene pipe welding using thermal infrared imaging[J]. Infrared physics & technology, 2011, 54(4): 317-325.
[6] MA Y E, WONG L, VIEN B S, et al.Quasi-active thermal imaging of large floating covers using ambient solar energy[J]. Remote sensing, 2020, 12(20): 3455.
[7] Apogee. Apogee instruments owner’s manual pyranometer models SP-110 and SP-230, 2020, Apogee: Logan, UT, USA[S].
[8] FLIR. User’s manual FLIR A6xx series, 2016, R systems: Wilsonville, OR, USA[S].
[9] 尹玉, 张永, 王健, 等. 基于热红外图像的风力机叶片损伤识别方法研究[J]. 太阳能学报, 2022, 43(2): 492-497.
YIN Y, ZHANG Y, WANG J, et al.Research on wind turbine blade damage identification method based on thermal infrared image[J]. Acta energiae solaris sinica, 2022, 43(2): 492-497.
[10] 吴国境, 王健, 张永, 等. 自然激励下风电叶片损伤的红外热像检测研究[J]. 太阳能学报, 2020, 41(9): 353-358.
WU G J, WANG J, ZHANG Y, et al.Research on infrared thermal image detection of wind turbine blade damage under natural excitation[J]. Acta energiae solaris sinica, 2020, 41(9): 353-358.
基金
中央高校基本科研业务费专项资金（JB2023036）
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