The problem: Water utilities track patterns in consumption data of drinking water to discover unusual events such as leaks. Unlocking this valuable information is a slow and labour-intensive process, whereas an early-warning system would require real-time automated analysis.

To help utilities enable new services that save drinking water, Seita is developing a pattern detection and classification toolbox to provide real-time automated analysis for monitoring platforms.

The toolbox will be used by MeterInsight to deliver labelled history reports to businesses with smart water meters. This project is partly funded by the Province of Noord-Holland.