SBIR Phase I: IoT Smart Water Management System

这个小型企业创新研究(SBIR)第一阶段项目的更广泛的影响/商业潜力是为水设备提供一个简单易用的“烟雾报警器”，以及对用水量和故障的洞察，这是以前从未存在的。曾经依赖水表数据来计算所有电器的总和，现在对每个单独的水具都有了详细的了解。这种前所未有的对单个设备级别的用水数据的访问将为增加数据分析研究、对故障模式和维护计划的预测性分析以及更好地了解人类消费习惯提供机会，以确定和解决使组织能够实现积极的可持续发展目标的问题。直到最近，医院才有能力汇总其医疗信息，以帮助治疗和治愈慢性病和疾病的研究工作。Mobius正在寻求为任何建筑物的业主做同样的事情，因为人们对持续、合理的淡水成本的关注变得更加强烈。拟议的项目将为物联网智能水管理系统(SWMS)的发展提供机会。它将使用人工智能和机器学习来识别泄漏，以便在浪费宝贵的水和能源之前进行纠正，并为可操作的见解提供预测性分析。这将显著改善供水设备的维护，并防止昂贵的水对财产的损害。此外，在宏观层面上，它为市政一级的维护和危机管理提供了洞察力。我们的愿景是将这些SWMS设备轻松安装到任何现有的供水设备中。安装并连接到互联网只需不到60秒。设计目标是从一开始就具有成本效益。SWMS为在当前运营中采用数据驱动的决策提供了一种负担得起且简单的方法。该提案中提出的关键目标集中在实现简单的“烟雾警报”，如故障警告和强大的分析平台。最后，这些设备将被设计为高度耐用的物联网设备，几乎不需要维护。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to provide a simple to use "smoke alarm" for water appliances coupled with a level of insight into water consumption and failures that has never existed before. What was once a reliance on water meter data for the sum of all appliances is now a detailed understanding for each individual water fixture. This unprecedented access to water usage data at an individual appliance level will provide the opportunity for increased data analytics research, predictive analytics for failure modes and maintenance scheduling, and better understanding of human consumption habits to identify and solve problems that allow organizations to meet aggressive sustainability goals. Only recently has there been an ability for hospitals to aggregate their medical information to aid research efforts to treat and cure chronic diseases and illnesses. Mobius is looking to do the same for any building owner for water, as the growing concern to continued, reasonable costing fresh water becomes even greater.The proposed project will provide the opportunity for the development of an IoT Smart Water Management System (SWMS). It will use artificial intelligence and machine learning to both identify leaks so they can be corrected before wasting precious water and energy, and provide predictive analytics for actionable insights. This will significantly improve water appliance maintenance and prevent costly water damage to properties. Further, at a macro level, it provides municipality level insight for maintenance and crisis management. The vision is to easily install these SWMS devices into any existing water fixture. It will take less than 60 seconds to install and connect to the Internet. The design goal is to be cost-effective from the start. The SWMS provides an affordable and easy way to adopt data driven decision making into current operations. The critical objectives set forth in this proposal are centered on achieving a simple "smoke alarm" like warning of a fault coupled with a robust analytics platform. Finally, these will be designed as highly durable IoT devices that require little or no maintenance.