Failures location within water-supply systems by means of neural networks

• Autorzy: Rojek I. , Studziński J.

Identyfikatory

DOI

10.14313/JAMRIS_2-2014/15

• Języki publikacji: EN

Abstrakty

EN

In the article the neural networks used for failures location for water supply networks are presented. To do this a hydraulic model of the water net, as well as an appropriate developed monitoring system have to be used. The current applications of monitoring systems installed in the waterworks do not realize their possibilities. The monitoring 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 localization 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.

Słowa kluczowe

EN

water supply network; network hydraulic; model, detection and location of water leakages; neural networks

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2014
• Tom: Vol. 8, No. 2
• Strony: 24--28
• Opis fizyczny: Bibliogr. 9 poz., rys.

Twórcy

autor

Rojek I.

• Kazimierz Wielki University in Bydgoszcz, Institute of Mechanics and Applied Computer Science, Chodkiewicza 30, 85-064 Bydgoszcz, Poland

autor

Studziński J.

• Systems Research Institute Polish Academy of Sciences, Newelska 6, 01-447 Warszawa, Poland

Bibliografia

• [1] Studziński J., “Decisions making systems for communal water networks and wastewater treatment plants”. In: Studzinski J., Hryniewicz O. (eds.),Modeling Concepts and Decision Support in Environmental Systems, System Research Institute, Polish Academy of Sciences, Series: System Research 49, Warsaw, 2006.
• [2] Rojek I., Studziński J., “Failures location algorithms for water-supply network by use of the neural networks”, Studies and Proceedings of Polish Association for Knowledge Management, Bydgoszcz, vol. 8, 2011, pp. 146–156 (in Polish).
• [3] Wyczółkowski R., Moczulski W., “Concept of intelligent monitoring of local water supply systems”. In: Materials of AI-METH 2005 – Artificial Intelligence Methods. 16th-18thNovember, 2005, Gliwice, Poland.
• [4] Wyczółkowski R., Wysogląd B., “An optimization of heuristic model of a water supply network”.In: Computer Assisted Mechanics and Engineering Science, CAMES, no. 14, 2007, pp. 767–776.
• [5] Studziński J., “The innovations of XXI age – the modern information techniques as management aids in network enterprises”. In: Straszak A. (eds.), Innovative Mazovia, Publishing House of SWPW, Płock, 2010 (in Polish).
• [6] Farmani R., Ingeduld P.,Savic D., Walters G., Svitak Z., Berka J., “Real-time modeling of a major water supply system”. In: International Conference on Computing and Control for the Water Industry, no. 8, Exeter, ROYAUME-UNI, vol. 160, no. 2, 2007, pp. 103–108.
• [7] Straubel R., Holznagel B., “Mehrkriteriale Optimierung für Planung und Steuerung von Trink- und Abwasser-Verbundsystemen”. Wasser Abwasser, 140, no. 3, 1999, pp. 191-196.
• [8] Rojek I., “Support of decision making processes and control in systems with different scale of complexity using artificial intelligence methods”. Publishing House of Kazimierz Wielki University, Bydgoszcz, 2010 (in Polish).
• [9] Studziński J., “IT System for Computer Aided Management of Communal Water Networks by Means of GIS, SCADA, Mathematical Models and Optimization Algorithms”. In: Proceedings of the First International Conference on Information and Communication Technologies for Sustainability ICT4S, L.M. Hilty, B. Aebischer, G. Andersson, W. Lohmann (eds.) ETH Zurich, 14th–16thFebruary, 2013,pp. 123–127.