Enhancement of Algorithmic Accuracy for Real-Time Water Quality Monitoring of Municipal Wastewater Streams

提高城市污水流实时水质监测的算法准确性

• 批准号: 548585-2019
• 负责人: Goodwin, Brett
• 金额: $ 0.91万
• 依托单位: Sir Sandford Fleming College of Applied Arts and Technology
• 依托单位国家: 加拿大
• 项目类别: Engage Plus Grants for Colleges
• 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=674971
• 关键词: Enhancement; Algorithmic; Accuracy; Real; Time

In Canada, small-scale wastewater treatment plants (WWTPs), particularly those located in remote communities, demonstrate a significant need for wastewater treatment monitoring systems with continuous, real-time capabilities. A lack of such continuous monitoring poses a significant threat to public health and the environment. Currently, Northern and remote communities are disproportionately at risk due to factors such as aging facilities and the unavailability of qualified maintenance staff. A.U.G. Signals Ltd. has developed an Intelligent Water Surveillance system for drinking water, which provides accurate, fast-response solutions to end users. This technology has helped 19 First Nations communities in Ontario achieve real-time continuous drinking water monitoring. Following the promising results of AUG's NSERC Engage collaboration with Fleming College's Centre for Advancement of Water and Wastewater Technologies (CAWT), the company wishes to continue its collaboration to achieve further efficiencies. AUG's prototype will be recalibrated for further pilot testing to improve the accuracy and consistency of its optical sensors and analytic algorithms. This will result in the enhancement and optimization of the system's hardware, user interface, cloud-based data platform and overall water quality monitoring performance.

在加拿大，小型废水处理厂（WWTP），特别是位于偏远社区的废水处理厂，迫切需要具有连续、实时功能的废水处理监测系统。缺乏这种持续监测对公共卫生和环境构成重大威胁。目前，由于设施老化和缺乏合格的维修人员等因素，北方和偏远社区面临的风险不成比例。A.U.G. Signals Ltd.开发了一种用于饮用水的智能水监控系统，为最终用户提供准确，快速响应的解决方案。这项技术帮助安大略的19个原住民社区实现了实时连续的饮用水监测。在AUG的NSERC与弗莱明学院的水和废水技术促进中心（CAWT）合作取得可喜成果后，该公司希望继续合作，以实现进一步的效率。AUG的原型将重新校准，以进行进一步的试点测试，以提高其光学传感器和分析算法的准确性和一致性。这将增强和优化系统的硬件、用户界面、云数据平台和整体水质监测性能。