Application of thermal mixing on sewer pipe inspection in high flows

热混合在大流量污水管道检查中的应用

• 批准号: 538895-2019
• 负责人: Azimi, AmirHossein
• 金额: $ 1.46万
• 依托单位: Lakehead University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=677073
• 关键词: Application; thermal; mixing; sewer; pipe

Ongoing changes in land use and climate have shown that conventional wastewater systems will receive additional loading due to increased peak runoff and flooding events. In addition, the majority of wastewater systems were built during a rapid growth period and now require a continuous condition assessment. Sanitary sewer systems are a significant portion of a municipality's capital investment budget and annual operating budget. The City of Thunder Bay is responsible for conducting condition assessment of around 500 km of a sewer pipeline network. Conventional condition assessment methods like implementing closed circuit television (CCTV) are very labor intensive and expensive. The City of Thunder Bay is investing in practical research projects to find easily updated and cost-effective monitoring systems to acquire information about the quality and ageing of wastewater collection systems. The present proposal aims to conduct laboratory experiments to perform sensitivity analysis of thermography and using thermal sensors for condition assessment of wastewater collection systems using wireless technology. Thermal mapping techniques are proposed using both conventional temperature sensors and emerging thermal imaging cameras. In this project, a novel, self-contained wireless data collection system will be developed to dramatically reduce the costs of pipe assessment. Using a winter season model, where the average temperature of wastewater is around 25 degrees and underground water is approximately 3 degrees, data collection units can directly measure water temperature using a sensitive thermometer, and can record thermal images using sensitive infrared cameras to identify the position and magnitude of flow infiltration. The monitoring data from the operational units in the field testing will be validated with the thermal mixing theory. The outcome of this research project will offer the City of Thunder Bay and other municipalities in Canada a validated, integrated tether-less unit that can efficiently monitor the existing condition of pipelines in underground sewer systems.

土地利用和气候的持续变化表明，由于径流量和洪水事件的增加，传统的废水系统将承受额外的负荷。此外，大多数废水处理系统是在快速发展时期建造的，现在需要进行持续的状况评估。卫生下水道系统是市政资本投资预算和年度运营预算的重要组成部分。雷霆湾市负责对约500公里的下水道管网进行状况评估。传统的状况评估方法，如实施闭路电视（CCTV），是非常劳动密集型和昂贵的。雷霆湾市正在投资于实际的研究项目，以寻找易于更新和具有成本效益的监测系统，以获取有关废水收集系统质量和老化的信息。本提案旨在进行实验室实验，以进行热成像的灵敏度分析，并使用热传感器对使用无线技术的废水收集系统进行状况评估。提出了使用传统的温度传感器和新兴的热成像相机的热映射技术。在该项目中，将开发一种新型的、独立的无线数据收集系统，以大幅降低管道评估的成本。使用冬季模型，其中废水的平均温度约为25度，地下水的平均温度约为3度，数据收集单元可以使用灵敏的温度计直接测量水温，并且可以使用灵敏的红外摄像机记录热图像，以识别流动渗透的位置和幅度。利用热混合理论对现场试验中运行单元的监测数据进行了验证。该研究项目的成果将为雷霆湾市和加拿大其他城市提供一种经过验证的集成无系绳装置，该装置可以有效地监测地下下水道系统中管道的现有状况。