InfraSense: A Distributed System for the Continuous Analysis of Hydraulic Transients

A comparative study of statistical and machine learning methods to infer causes of pipe breaks in water supply networks

“…The analysis indicates that the pressure loadings (maximum pressure and pressure range/cycles) played a prominent role made for the historic pipe breaks. Pressure monitoring with high spatial and temporal resolution, (Qi et al 2018a;Hoskins and Stoianov 2014;Rezaei, Ryan, and Stoianov 2015;Stoianov et al 2007), combined with advances in pressure control to minimise both average zone pressure and pressure variability (Pecci, Abraham, and Stoianov 2017) could substantially reduce the occurrence of pipe breaks.…”

Communication Schemes for Centralized and Decentralized Event-Triggered Control Systems

“…GPS clock synchronization technologies [43], ensure typical accuracy better than 1 microsecond by consuming ultra low power and without introducing communication overheads. This time synchronization technology has been tested widely, in term of robustness and performance, in real city-scale deployments, such as the smart water network in [44]. Control-TDMA (C-TDMA) is designed to enable TTC and PETC approaches (see Figure 3).…”

Control of water distribution networks with dynamic DMA topology using strictly feasible sequential convex programming

“…The DBVs used in the experimental investigation of this paper also include: Advanced pilot controller for open/closed loop control scheduling, stem position control, and flow modulation [ Cla‐Val , ]; Telecommunications for receiving hydraulic data and updating control settings; Insertion flowmeter that uses the vortex shedding phenomenon to calculate flow [ Cla‐Val , ], which is beneficial when there are space constraints that restrict the installation of a flowmeter at the DBV; Microturbine for energy harvesting, powered by a valve bypass using the pressure differential of the valve [ Cla‐Val , ], which can be useful when mains power is unavailable; High‐speed (128S/s) pressure measurements at the valve inlet and outlet using the InfraSense TS logger [ Hoskins and Stoianov , ], which is used extensively in the experimental investigation for establishing the AZP performance of the network and guaranteeing that stable (steady state) control is actuated. …”