Failures location within water-supply systems by means of neural networks
Izabela Rojek, Jan Studziński · Journal of Automation Mobile Robotics & Intelligent Systems · 2014
In the article the neural networks used for failures loca-tion for water supply networks are presented. To do this a hydraulic model of the water net, as well as an appro-priate developed monitoring system have to be used. The current applications of monitoring systems installed in the waterworks do not realize their possibilities. The monitor-ing systems provided as autonomic programs to collect and record the information about flows and pressures of water in source pumping stations, in the pump stations bringing up the water pressure inside the water net and in the pipes of water supply network give a general knowledge about state of its work, but if they would be used as elements of IT systems supporting the water network management, they could help to solve the tasks concerning detection and lo-calization of water leaks. The models of failures location in water nets described in the paper are created by means of neural networks in the form of MLP nets.