Robust Meter Network for Water Distribution Pipe Burst Detection

Donghwi Jung,Joong Kim

doi:10.3390/w9110820

Abstract

A meter network is a set of meters installed throughout a water distribution system to measure system variables, such as the pipe flow rate and pressure. In the current hyper-connected world, meter networks are being exposed to meter failure conditions, such as malfunction of the meter’s physical system and communication system failure. Therefore, a meter network’s robustness should be secured for reliable provision of informative meter data. This paper introduces a multi-objective optimal meter placement model that maximizes the detection probability, minimizes false alarms, and maximizes the robustness of a meter network given a predefined number of meters. A meter network’s robustness is defined as its ability to consistently provide quality data in the event of meter failure. Based on a single-meter failure simulation, a robustness indicator for the meter network is introduced and maximized as the third objective of the proposed model. The proposed model was applied to the Austin network to determine the independent placement of pipe flow and pressure meters with three or five available meters. The results showed that the proposed model is a useful tool for determining meter locations to secure high detectability and robustness.

Highlights

The robustness of a water distribution system (WDS) is defined as its ability to continue to perform with disturbances
This paper proposes an optimal meter placement (OMP) method for WDS pipe burst detection that considers the robustness of the meter network
This section describes the details of the detection performance measures and meter network’s robustness, the proposed multi-objective OMP (MOMP) model, a burst detection method based on the statistical process control (SPC) method, the data generation method, and the optimization algorithm used

Summary

Introduction

The robustness of a water distribution system (WDS) is defined as its ability to continue to perform with disturbances. Jung et al [1] confirmed that robustness-based design reduces the failure severity compared to reliability-based design under disturbance conditions not considered in the design phase. Their following study [2] confirmed that considering a robustness measure in WDS pump scheduling optimization produced a time series of consistent pressures, called smoothed pressures, at the critical node. The robustness of a meter network was defined as its ability to consistently provide quality data even under such meter failure conditions

Methods

Results

Conclusion