Utility management demands two basic functions for an optimal automation scenario, which are monitoring and control. Here, we report a novel approach utilizing free spectrum communication technology and the Internet of Things (IoT) framework for Water Distribution Network (WDN) management. We make use of an architecture combining the free spectrum protocols included in the ISM (Industrial, Scientific, and Medical) radio band, along with cloud-based data management. The main aspects of the developed system are user-friendly operation and control, along with reliable and fault-free operation. In this paper, we discuss, in detail, the architecture, hardware design, and software applications associated with the IoT-based wireless monitoring and control of WDNs.

In this paper, we present results from a study on leak detection based on graph partitioning. Leaks are isolated using graph partitioning and performing mass balances over the partitions. The algorithms are tested and validated using a scaled-down test facility such as the Reconfigurable Testbed for Control and Operation of WDN (RTCOP-WDN). The benefits and limitations of the presented techniques along with the required hardware to test these leak detection methods are discussed.

A well-calibrated model of a water distribution network is necessary for monitoring, control, and operation. In this work, we address the problem of parameter estimation in water distribution networks (WDNs). Typical parameters to be estimated include the coefficients used to model major (pipes) and minor (joints, etc.) losses due to friction. The problem of parameter estimation is a nonlinear regression problem and is solved using the error-in-variables approach. The method is illustrated using data from an experimental facility.