Data-Driven Innovation to reduce water consumption at home

当谈到“明智使用”时，水基础设施被忽视了，因为水被认为是一种无形的公用事业。例如，信息通信技术（ICT）和物联网（IoT）正在能源部门蓬勃发展。众所周知，现有的技术，如连接到智能电表的传感器和用于向用户提供实时反馈的家庭显示器，广泛用于“智能家居”以减少能源消耗。这些技术也可以用来减少水的消耗。为了缩小这一差距，重要的是将消费者洞察（物理数据）与真实的时间数据（数字数据）结合起来，作为一个集成系统，可以向安格利安水务及其客户提供有关家庭实际消费模式的实时反馈。因此，数据驱动的经济有更大的潜力为水务部门提供转型变革，通过调查利用现有技术的机会，通过影响消费者行为来减少用水量，同时收集有意义的数据，开发一个综合反馈系统，可以提高家庭节水潜力，同时减轻可能的反弹效应。该项目的目的是分析和分类从Anglian Water用户挖掘的不同数字和物理数据集，以开发“数据驱动”的家庭模块化硬件和软件集成系统的概念验证，以提供有关家庭实际用水模式的实时反馈。

Water infrastructure is overlooked when talking about 'smart use' as water is considered as an invisible utility. Information communication technologies (ICTs) and the Internet of Things (IoT) are boosting in the energy sector for example. It is acknowledged that existing technologies such as sensors connected to smart meters and in-home displays used to give real-time feedback to users, are widely use in 'smart homes' to reduce energy consumption. These technologies could be also implemented to reduce water consumption. To close this gap, it is important to bring together consumer insights (physical data) with real time data (digital data) as an integrated system that could provide real-time feedback to Anglian Water and their clients about actual consumption patterns in the home. As such, there is a greater potential for the data-driven economy to provide transformational changes to the water utility sector, by investigating opportunities of using existing technologies to reduce water consumption by influencing consumer behaviour whereas at the same time source meaningful data that could inform the co-development of an integrated feedback system that could enhance water saving potentials at home whilst at the same time mitigating possible rebound effects. The aim of this project is to analyse and classify different sets of digital and physical data mined from Anglian Water users to develop a proof of concept of a 'data-driven' in-home modular hardware and software integrated system to provide real-time feedback about actual water consumption patterns in the home.