Andrzej Czapczuk*, Jacek Dawidowicz**, Jacek Piekarski***
Numerical methods are widely used for many years in the design and operation of water supply systems. Computer technology is characterized by very dynamic progress in the field of hardware and software. Specialized computer programs offer more and more features, especially in the field of data entry and viewing the results, but still operate on the basis of pre-defined algorithms. Currently we are dealing with a turbulent development of artificial intelligence techniques. Probably will never computational programs that completely will replace the operator of the need to make key decisions, but in recent years the aim is to develop computer programs that will be characterized by at least a small degree of creativity. For this purpose, the traditional calculation programs are supplemented by artificial intelligence methods, including artificial neural networks, expert systems, heuristic methods. The above trend can also be observed in issues related to water supply in the problems of design and operational. The literature proposals for the use of artificial intelligence at the stage of water treatment, disinfection, pumping, hydraulic design and simulation of water distribution systems and other components. Have taken a lot of optimization problems that are very difficult to solve by conventional methods. In this paper, some examples of the use of artificial intelligence methods in problems of water supply, indicating that these are the solutions that pave the way for the implementation in practice of design and operation. A wide range of artificial intelligence methods requires careful analysis that the method can be applied to individual problems. Also require a thorough knowledge of ongoing work in this regard.
systemy zaopatrzenia w wodę, sztuczna inteligencja, systemy ekspertowe, sztuczne sieci neuronowe, metody heurystyczne
092. Artificial Intelligence Methods in the Design and Operation of Water Supply Systems
water supply systems, artificial intelligence, expert systems, artificial neural networks, heuristic methods
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Zadanie Czasopismo, Annual Set The Environment Protection Volume 17. Year 2015 (wersja elektroniczna) dofinansowane ze środków Ministerstwa Nauki i Szkolnictwa Wyższego