Proceedings of International Conference on Applied Innovation in IT
2017/03/16, Volume 1, Issue 5, pp.113-118

Data Analysis and Visualization for Industrial Enterprise Water Supply System

Vladislav Noskov, Aleksey Kychkin

Abstract: In this article the method of the industrial enterprises water supply system data analysis based on search of dependences of emergencies number on environmental parameters is considered. The example of water supply system with a standard structure is given, possible places of accidents are shown. The mathematical models of the monitoring results analysis in order to identify the relationship of accidents in knots, piping lines, consumer systems for water supply and sanitation by external factors are proposed. Calculation of correlation function showed dependence of the accident number on water temperature. Histograms of distribution of water temperatures in system and quantities of emergencies, graphics of the average values with use of the smoothing filters, dependence of temperature in the giving system of water from the number of accidents are constructed. Data visualization is carried out with using the OpenJEVis information system. The received results can be used for forming of observations statistics, an impact assessment of other parameters of system, accident rate forecasting. Research has been completed under the PNRPU grant No.2016/PI-2 «Methodology development of monitoring and heat flow utilization as low potential company energy sources».

Keywords: Water Supply System, Energy Monitoring, Data Analysis and Visualization, OpenJEVis

DOI: 10.13142/KT10005.41

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