IIC Journal of Innovation 6th Edition - Page 30

Outcomes, Insights, and Best Practices from IIC Testbeds: Intelligent Urban Water Supply Testbed water quality monitoring as well. of these configurations may not be optimal, e.g. because of the incorrect initial assumption of the usage patterns, and consequently energy efficiency is not optimal. When many pumps are connected, energy usage profiles can be established in the context of the actual water usage patterns. The outliers can be identified much more effectively and can then be addressed. The purpose of the Intelligent Urban Water Supply Testbed is to determine the best ways to connect to the equipment and at the same time build a cloud-based service to collect and analyze large amounts of data from a great number of equipment. The first technical objective is to provide visibility remotely into the operation of the equipment and simultaneously enable a faster response to detected problems. The third objective relates to water quality. In order to ensure water quality, the first step is to enable visibility. Visibility is achieved by deploying water quality measurement instruments, across the water pipeline network. Yet, these instruments are too expensive to install in large numbers to monitor the whole network's water quality. On the other hand, if small numbers of instruments are installed in strategic locations, data collected from these instruments can be analyzed to infer water quality across the pipeline network based on its topology. Secondly, by applying data analytics, equipment anomalies can be detected and failures diagnosed automatically. Thus, the reliance on human operators for these tasks will be reduced. When the number of equipment increases to tens of thousands, it is difficult or practical to employ enough staff to manually monitor the operation of the equipment. Traditional Supervisory Control and Data Acquisition (SCADA) systems usually rely heavily on manual work in operations. It is expected that more and more advanced analytics can be applied to perform these types of tasks and gradually reduce the reliance on humans. From the technical perspective, the fir