Abstract
In this research paper EPANET and EPANET-MSX software tool is utilized to simulate the water network of CSIR-CEERI, Pilani. System is utilizing a real time contamination event detection algorithm, for detecting a randomly generated event using EPANET-MATLAB Toolkit. According to WHO (World Health Organisation) the required chlorine concentration for maintaining water quality is 0.5 mg/l. So re-chlorination stations are expected to include into network. A fixed detection threshold for chlorine residual is utilized for different sensing areas when chlorine concentration varies from this limit, controller module will adjust the value according to required level. Initial Chlorine, pipe roughness, demand pattern and others parameters of the underlying states of the water supply framework were created by Monte Carlo simulation method. This information of chlorine data is sent over a IOT integrated server. At that point this information is displayed over a user interactive application with the goal that a client intuitive view can be provided. The utilization of the Monte Carlo simulation in blend with heuristic classification have been turned out to be a capable tool to perform chlorine residuals finding and contamination event occurrence in sensors inside the CEERI pressure zone. By utilizing classification module’s output the event detection of contamination is done by raising a alert flag. Finally, this information about generated alerts are sent to the user, who is authorised to access and perform possible actions.
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Vijay, M., Porwal, S., Jain, S.C., Botre, B.A. (2018). Chlorine Decay Modelling in Water Distribution System Case Study: CEERI Network. In: Bhattacharyya, P., Sastry, H., Marriboyina, V., Sharma, R. (eds) Smart and Innovative Trends in Next Generation Computing Technologies. NGCT 2017. Communications in Computer and Information Science, vol 827. Springer, Singapore. https://doi.org/10.1007/978-981-10-8657-1_33
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