Ma Yue, Vien Benjamin Steven, Kuen Thomas, Chiu Wing Kong
Department of Mechanical & Aerospace Engineering, Monash University, Clayton, VIC 3800, Australia.
Department of Integrated Planning, Melbourne Water Corporation, 990 La Trobe Street, Docklands, Melbourne, VIC 3008, Australia.
Sensors (Basel). 2024 Dec 16;24(24):8030. doi: 10.3390/s24248030.
This study presents a novel approach for monitoring waste substrate digestion under high-density polyethylene (HDPE) geomembranes in sewage treatment plants. The method integrates infrared thermal imaging with a clustering algorithm to predict the distribution of various substrates beneath Traditional outdoor large-scale opaque geomembranes, using solar radiation as an excitation source. The technique leverages ambient weather conditions to assess the thermal responses of HDPE covers. Cooling constants are used to reconstruct thermal images, and clustering algorithms are explored to segment and identify different material states beneath the covers. Laboratory experiments have validated the algorithm's effectiveness in accurately classifying varied regions by analyzing transient temperature variations caused by natural excitations. This method provides critical insights into scum characteristics and biogas collection processes, thereby enhancing decision-making in sewage treatment management. The methodology under development is anticipated to undergo rigorous evaluation across various floating covers at a large-scale sewage treatment facility in Melbourne. Subsequent to field validation, the implementation of an on-site, continuous thermography monitoring system is envisioned to be further advanced.
本研究提出了一种用于监测污水处理厂中高密度聚乙烯（HDPE）土工膜下废弃底物消化情况的新方法。该方法将红外热成像与聚类算法相结合，以太阳辐射为激发源，预测传统户外大型不透明土工膜下各种底物的分布。该技术利用环境天气条件来评估HDPE覆盖层的热响应。冷却常数用于重建热图像，并探索聚类算法以分割和识别覆盖层下不同的物质状态。实验室实验通过分析自然激发引起的瞬态温度变化，验证了该算法在准确分类不同区域方面的有效性。该方法为浮渣特性和沼气收集过程提供了关键见解，从而增强了污水处理管理中的决策制定。正在开发的方法预计将在墨尔本的一个大型污水处理设施的各种浮动覆盖层上进行严格评估。在现场验证之后，设想进一步推进现场连续热成像监测系统的实施。
