基于光纤分布式测温的污水管道入流识别方法研究

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Abstract To overcome the shortcomings of physical inspection that needs prerequisite pipe draining and also can not afford real-time in-pipe monitoring, a sewer inflow detection method based on fiber-optic distributed temperature sensing (FDTS) was developed in this study, enabling non-disrupted timely monitoring of sewage and rainfall inflow into sewers. A temporal-spatial high-resolution monitoring (i.e., 1m interval in spatial scale and 1min interval in temporal scale) was performed using FDTS for the studied sewer reach, and over 118million in-pipe water temperature data was obtained. With interpreted in-pipe temporal-spatial water temperature mapping, a sewer inflow identification method based on the background noise of water temperature change at spatial and temporal scale was presented, and the determined spatial and temporal background noise levels at a condition free of external sewer inflow disruption were ±0.2℃ and ±0.5℃, respectively. By a denoising treatment method for water temperature mapping, the dry-weather sewage discharge and wet-weather rainfall inflow into sewers were identified automatically, which is in line with on-site investigated results. Therefore, the developed method is reliable for dynamic sewer inflow identification and location.

Key words： sewer pipe fiber-optic temperature monitoring in-pipe water temperature rainfall inflow low-cost detection

Received: 12 September 2021

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X52

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I4/1737

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