Central Prediction System for Time Series Comparison and Analysis of Water Usage Data

Abstract

Revenue water flow is defined as the amount of water for which the water rate has been collected, against tap water production, whereas non-revenue water (NRW) is defined as water that has been produced, but for which payment cannot be charged. In South Korea, there are big differences in NRW among the regions, and the NRW ratio in urban areas is higher than in rural regions. To reduce regional differences and effectively manage the water system, a management system to lower the NRW ratio is required. In particular, the NRW ratio can be reduced through an automatic leakage detection and sensor-error automatic checking system for feed water pipes and piping in household, and through leakage detection of water supply and drainage pipes that transport large volumes of water. Therefore, this study develops a system that can generate automatic alarms whenever abnormal usage is predicted via analysis of household water flow rate. Linear regression, ARIMA model, and additive regression model are compared to find the best method with high accuracy. The proposed method can support efficient water system management to lower the NRW ratio.INDEX TERMS Non-revenue water, time series, ARIMA, additive regression model, water leakage alert system. I. INTRODUCTIONAccording to the waterworks statistics of South Korea, published in 2019, the sector with the highest water consumption, as of 2017, is the household sector, which accounts for 3,451 million m 2 , or approximately 62%, of the total water consumption. The next highest consumer of water is the general business sector, at 1,606 million m 2 , or approximately 29%, of the total. Other water consumers include public service, at 136 million m 2 , or approximately 2% of the total, and other industries, for the remaining 7%. Thus, water usage for everyday living accounts for the largest share of water consumption, and that consumption amount has been exhibiting an increasing trend [1].In the system of the Korea Water Resources Corporation, raw water is purified after being collected, filtered, and sterilized through the intake and mixing process at the intake station. Afterward, the processed water is fed to water tanks, and a stable supply is provided to each household.The associate editor coordinating the review of this manuscript and approving it for publication was Honghao Gao .

Data Prediction of Reject Unit from Manufacturing Company using Auto Regressive Integrated Moving Average (ARIMA) Algorithm

“…A research was conducted to predict the sea pattern in terms of speed and direction [3]. Other application is to observe the abnormal household water flow rate using ARIMA technique [4]. Next applications are subway passenger flow prediction [5] and passenger flow prediction in bus transportation system [6] both using ARIMA.…”