NSERC Industrial Research Chair for Colleges in Predictive Water Network Analytics

由于过去十年技术进步的爆炸性增长，包括智能城市、物联网和先进传感器技术的出现，市政当局和公用事业公司现在能够收集大量复杂的数据。有了正确的设备和系统，资产管理公司可以从实时信息流中获得洞察力，并采取主动的资产管理方法，而不是被动的方法。现有的检测和预测供水系统故障(管道破裂和泄漏)的技术和技术不能充分满足资产所有者和管理人员的需要。IRCC拟议的五年研究计划将由P.Eng的Mohammadreza Moslemi博士实施，该计划将专注于开发一种可靠的预测性和规范性故障检测系统，该系统可以通过管道资产管理、规划和维护服务为市政当局提供支持。通过行业合作伙伴Echologics生产的数百个数据文件加强的一系列模型和人工智能算法，莫斯莱米博士将开发一种工具，促进和增加预测性水网络技术的采用。更多的采用将为创新服务提供商带来经济收益，保护水资源，并为市政当局节省数百万美元。这项IRCC倡议得到了弗莱明学院水和废水技术促进中心、可持续城市中心和应用研究办公室的支持。

Thanks to the explosion of technological advancements over the last decade, including the advent of Smart Cities, the Internet of Things, and advanced sensor technologies, municipalities and utilities are now able to collect high volumes of complex data. With the right equipment and systems, asset managers can yield insights from real-time information streams and take a proactive approach to asset management instead of a reactive one. Existing technologies and techniques to both detect and predict failure of water distribution systems (pipe bursts and leaks) are not adequately meeting the needs of asset owners and managers. The proposed five-year IRCC research program to be carried out by Dr. Mohammadreza Moslemi, P.Eng., will focus on developing a reliable predictive and prescriptive failure detection system that can support municipalities through pipeline asset management, planning, and maintenance services. Through a series of models and AI algorithms that are strengthened by hundreds of data files produced by industry partner Echologics, Dr. Moslemi will develop a tool that will advance and increase the adoption of predictive water network technologies. Increased adoption will lead to financial gains for innovative service providers, protection of water resources, and millions of dollars saved by municipalities. This IRCC initiative is supported by Fleming College's Centre for Advancement of Water and Wastewater Technologies, the Centre for Sustainable Municipalities, and the Office of Applied Research.