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EN
Calculations of water distribution systems are most often performed many times because the correct solution from a technical point of view is rarely obtained after the first calculation run; hence, we can talk about a multistage calculation process. In connection with this, the calculation process of computer water distribution systems can be additionally supplemented with elements of process diagnostics. Diagnostic activities should be carried out using numerical algorithms, which can be a complement to classical hydraulic calculations of water distribution systems. The condition for reliable functioning of the diagnostic system formulated in this way is the efficient detection of computational irregularities. For this purpose, diagnostic problems were defined for the water pipes and the connection nodes in the water distribution system. The proposed diagnostic tests analyze the calculation results and indicate whether the solution is correct or, if irregularities are detected, suggest a way to solve the problem. Diagnostic tests are carried out using artificial neural networks.
EN
The design of the water distribution system is inherently linked to the execution of calculations, which aim, among other things, to determine the flow rate through individual pipes and the selection of diameters at the appropriate speed. Each step in the calculations is followed by an evaluation of the results and, if necessary, a correction of the data and further calculations. It is up to the designer to analyse the accuracy of the calculation results and is time-consuming for large systems. In this article, a diagnostic method for the results of hydraulic calculations, based on Kohonen Network, which classifies nominal diameters [DN] on the basis of data, in the form of flows, has been proposed. After calculating the new variant of the water distribution system, the individual calculation sections are assigned to the neurons of the topological map of Kohonen Network drawn up for nominal diameters. By comparing the diameter used for the calculation, with the diameter obtained on the topological map, the accuracy of the chosen diameter can be assessed. The topological map, created as a result of labelling the neurons of the output layer of the Kohonen Network, graphically shows the position of the classified diameter, relative to those diameters with similar input values. The position of a given diameter, relative to other diameters, may suggest the need to change the diameter of the pipe.
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