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

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
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

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中文摘要
翻译
在加拿大,小型污水处理厂(WWTP),特别是那些位于偏远社区的污水处理厂,显示出对具有连续、实时能力的废水处理监测系统的巨大需求。缺乏这种持续监测对公众健康和环境构成重大威胁。目前,由于设施老化和缺乏合格的维护人员等因素,北部和偏远社区面临的风险不成比例。A.U.G.Signals有限公司开发了一种饮用水智能水监控系统,为最终用户提供准确、快速的解决方案。这项技术已经帮助安大略省的19个原住民社区实现了实时连续的饮用水监测。继8月份NSERC Engage与弗莱明学院水和废水技术促进中心(CAWT)的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的原型将被重新校准,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。这将使系统的硬件、用户界面、基于云的数据平台和整体水质监测性能得到加强和优化。
英文摘要
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.
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