IoT stations for monitoring a district metered area of Guanajuato city

This paper presents the first phase toward the implementation of a monitoring and diagnostic pilot system for a district metered area (DMA) of the water distribution network (WDN) of Guanajuato city. Such a system consists of two main components: (1) a grid of stations equipped with Internet of Things (IoT) technology, where hydraulic and quality data are measured and sent to a web platform, and (2) algorithms based on artificial intelligence and control theory for providing early diagnosis of faults and quality deviations. Specifically, this work describes the architecture and installation of the first and second stations, which were located at the DMA input and in a public hospital. Moreover, some preliminary uses of the recollected data are presented to show the potentiality of metering drinking water.