Mathematical Model for Pipeline Leak Simulation

Molina-Espinosa, L.; Verde-Rodarte, Cristina; Cazarez-Candia, O.

doi:10.1007/978-3-642-17958-7_25

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…According to fluid mechanics, steady-state pressure drops linearly in a straight horizontal pipeline due to friction losses, but when a single leak occurs the slope of the line after the leak becomes larger than the slope before the leak [23]. Then, the leak position and size can be found out by finding the intersecting point of the two lines as shown in Figure 2.…”

Section: Approach For Sensor Monitoring Leak Detection and Energy Efficiencymentioning

confidence: 99%

A Novel Energy-Aware Approach for Locating Leaks in Water Pipeline Using a Wireless Sensor Network and Noisy Pressure Sensor Data

Mysorewala¹,

Sabih²,

Cheded³

et al. 2015

International Journal of Distributed Sensor Networks

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We propose a novel energy-aware approach to detect a leak and estimate its size and location in a noisy water pipeline using least-squares and various pressure measurements in the pipeline network. The novelty in our work hinges on the fusion of the duty-cycling (DC) and data-driven (DD) strategies, both well-known techniques for energy reduction in a wireless sensor network (WSN). To maximize the information gain and minimize the energy consumed by the WSN, we first study the effects of (a) various levels of sensor measurement uncertainty and (b) the use of the smallest possible number of pressure sensors on the overall accuracy of our approach. Using the DD strategy only, a noisy environment, and a small number of sensors, the performance of our scheme shows that, for small leak sizes, the estimation error in both leak location and size becomes unacceptably high. Next, using as few sensors as possible for an acceptable accuracy, we fused the DD strategy with the DC one to minimize the sensing, processing, and communication energies. The fusion approach yielded a better performance with significant energy saving, even in noisy environments. EPANET was used to model the pipeline network and leak and MATLAB to implement, analyze, and evaluate our fusion approach.

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Section: Approach For Sensor Monitoring Leak Detection and Energy Efficiencymentioning

confidence: 99%

A Novel Energy-Aware Approach for Locating Leaks in Water Pipeline Using a Wireless Sensor Network and Noisy Pressure Sensor Data

Mysorewala¹,

Sabih²,

Cheded³

et al. 2015

International Journal of Distributed Sensor Networks

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Time and Energy Savings in Leak Detection in WSN-Based Water Pipelines: A Novel Parametric Optimization-Based Approach

Mysorewala

2019

Water Resour Manage

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This paper presents a novel optimization algorithm for monitoring a complex water pipeline using Wireless Sensor Networks (WSN), in order to solve the trade-off between a timely and accurate detection of a leak, and an efficient utilization of the energy at the WSN's nodes aimed at prolonging the WSN's lifetime. The scheme relies on using vibration sensors of different sensitivities to detect vibrations due to a leak, and on exploiting duty-cycling, hierarchical adaptive sampling and wavelet-based signal compression, in order to reduce sensing, computation and communication energies. Given the constraints of a maximum allowable sensor energy, a limited time to detect a leak after it occurs, and an acceptable percentage of signal distortion due to compression, a new optimization-based backtracking learning algorithm is developed here that solves for the values of various monitoring parameters such that it satisfies all the given constraints. Developing such an optimization algorithm has also required performing a sensitivity analysis, i.e. investigating the effect of changing the key monitoring parameters on the performance of leak detection and energy consumption. Simulation results for various cases successfully demonstrate the effectiveness of the algorithm while supporting the prediction of the sensitivity analysis.

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Energy saving/accuracy tradeoffs for leak localization in WSN-based monitoring of water pipelines

Mysorewala

2016

2016 13th International Multi-Conference on Systems, Signals &Amp; Devices (SSD)

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Mathematical Model for Pipeline Leak Simulation

Cited by 3 publications

References 10 publications

A Novel Energy-Aware Approach for Locating Leaks in Water Pipeline Using a Wireless Sensor Network and Noisy Pressure Sensor Data

A Novel Energy-Aware Approach for Locating Leaks in Water Pipeline Using a Wireless Sensor Network and Noisy Pressure Sensor Data

Time and Energy Savings in Leak Detection in WSN-Based Water Pipelines: A Novel Parametric Optimization-Based Approach

Energy saving/accuracy tradeoffs for leak localization in WSN-based monitoring of water pipelines

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