Building Automation Potable Water Sensor Analytics and Support / Diagnostics Protocol

楼宇自动化饮用水传感器分析和支持/诊断协议

• 批准号: 515787-2017
• 负责人: Sheikhzadeh, Mehdi
• 金额: $ 1.82万
• 依托单位: Lambton College of Applied Arts and Technology
• 依托单位国家: 加拿大
• 项目类别: Applied Research and Development Grants - Level 1
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=641733
• 关键词: Building; Automation; Potable; Water; Sensor

Currently water leaks in buildings are poorly detected and water usage is monitored irregularly or only for the building as a whole.Water leaks in particular in multi-unit buildings have caused significant rise in insurance premiums. In order for many condodevelopments to obtain insurance, devices to detect and control leakages are required.Instantia Lab Inc.s (Instantia) located in St. Catherines developed a water sensor that detects and monitors leaks, water qualityas well as consumption in a real time manner utilizing the concept of internet of things technology along with the development,aggregation and analysis of big data. The developed sensor has wide application potential and can be placed in individual homes,residential buildings/complexes or commercial complexes. The sensor can be controlled by a single manager or by each individualbuilding/unit owner through a cloud services platform.Lambton College has partnered with Instantia to focus on machine learning algorithms that will develop an understanding of dataaggregated in the data base by developing an extensive database and mobile dashboard platform that serves both the end user(consumer) and customers seeking to access the data aggregation and analytics services. The data will be able to pinpoint whatwater leakage occurring in each building or residential/commercial unit based on the meta data gathered upon the setup of asensor. The results of this project will create revenue for Instantia, enhancing their existing product as well as a providing solutionsfor those who are required or want to monitor leaks..Ontario

目前，建筑物的漏水检测很差，用水量不定期或仅对整个建筑物进行监测。特别是多单元建筑物的漏水导致保险费大幅上涨。为了使许多Condodevelopments获得保险，需要检测和控制泄漏的设备。位于圣凯瑟琳斯的Instantia实验室公司（Instantia）开发了一种水传感器，利用物联网技术的概念，沿着大数据的开发，聚合和分析，以真实的时间方式检测和监测泄漏，水质以及消耗。开发的传感器具有广泛的应用潜力，可以放置在个人家庭，住宅建筑/综合体或商业综合体中。该传感器可由单个管理者或由每个建筑物/单元业主通过云服务平台进行控制。兰顿学院与Instantia合作，专注于机器学习算法，通过开发广泛的数据库和移动的仪表板平台，为最终用户（消费者）和寻求访问数据聚合和分析服务的客户提供服务，从而加深对数据库中聚合数据的理解。这些数据将能够根据传感器设置时收集的Meta数据，查明每栋建筑物或住宅/商业单位发生的漏水情况。该项目的结果将为Instantia创造收入，增强其现有产品，并为那些需要或想要监控泄漏的人提供解决方案。安大略