Developing a truly intelligent water meter through advanced data analytics

通过先进的数据分析开发真正的智能水表。该项目旨在利用国际数据集开发智能模式识别算法，将家庭用水量数据自动分类为最终用途（例如淋浴，泄漏）。尽管有智能仪表，但大数据阻碍了客户和公用事业公司的决策，而不是使其成为可能。该项目将使用模式识别、信号处理和决策科学领域的非线性盲源分离技术相结合来解决信息合成问题。预期结果是，公用事业将成为信息时代可持续用水的领导者，客户可以使用手机获取实时用水数据。

Developing a truly intelligent water meter through advanced data analytics. This project aims to develop intelligent pattern recognition algorithms using international data sets to autonomously categorise household water consumption data into end-uses (e.g. showers, leaks). Despite intelligent meters, big data chokes rather than enables decision making for customers and utilities. This project will resolve information synthesis concerns using a combination of non-linear blind source separation techniques adapted from the pattern recognition, signal processing and decision science fields. Expected outcomes are that utilities will be leaders of sustainable water use in the information age, and that customers can use phones to access real-time data of water consumption.