Abstract

The accidents happening to buildings and other human facilitation sectors due to poor water supply pipelining system is a random phenomenon, but an efficient estimation system can help to escape from such accidents. Such a system can be useful in assisting the caretakers to take the initiative measures to avoid the occurrence of the accidents or at least reduce the associated risk. In this paper, we target this issue by proposing a water supply pipelines risk estimation methodology using feed forward backpropagation neural network (FFBPNN). For validation and performance evaluation, real data of water supply pipelines collected in Seoul, Republic of South Korea from 1987 to 2010 is used. A comprehensive analysis is performed in order to get reasonable results with both original and pre-processed input data. Pre-processing consists of two steps: data normalization and statistical moments computation. Statistical moments are mean, variance, kurtosis and skewness. Significant improvement in prediction accuracy is observed with data pre-processing in terms of selected performance metrics, such as mean absolute error (MAE), mean absolute percentage error (MAPE) and root mean squared error (RMSE).

Highlights

  • Underground facilities are very important to be monitored, because these facilities are unforeseen hazards to buildings, bridges, railway lines, etc

  • The three-performance measurement used for evaluation of neural network such as mean absolute error (MAE), root means absolute error (RMSE) and mean absolute percentage error (MAPE), respectively

  • The feed forward backpropagation neural network (FFBPNN) was applied to original collected data and we noticed that the outcomes attained for the original data were not prominent

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Summary

Introduction

Underground facilities are very important to be monitored, because these facilities are unforeseen hazards to buildings, bridges, railway lines, etc. In terms of reducing the hazards, underground water supply pipelines are one the most important facility which contributes many underground risks and difficulties. Water is the superlative part of life without which no one can survive in the world. Water facilities are fully dependent on pipe, without pipeline water supply is impossible. In order to provide and supply water to homes, buildings and commercial areas, a bundle of pipes is installed underground. The cities become more and more congested and these water supply pipelines are danger warning to constructed buildings as well as more risks to be taken to supply water in these congested areas [1,2]

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