A.P. Safonyk, I.M. Hrytsiuk, M.M. Mishchanchuk, І.V. Ilkiv

Èlektron. model. 2021, 43(4):89-102


Methods for determining the coagulant concentration in the process of electrocoagulation are considered. An experimental laboratory setup for researching photometric analysis processes was created, the principle of which is on the determination of color and light intensity in real time. Based on spectrophotometric analysis an artificial neural network (ANN) has been developed to determine the coagulant concentration (Fe) in real time, which according to the obtained values of RGB converts to the color space of HSL, and then converts to the value of the concentration of Fe. Software for determining the concentration of iron in a coagulant using artificial intelligence has been developed, which is a web application that displays the color parameters of a coagulant, a certain concentration of iron in a coagulant, and also saves the history of all measurements to a database. While investigating ANN by various methods, an optimizer was matched for the respective process, the standard deviation (RMSE) is 6.91%.


artificial neural network, coagulant, intelligent information system, spectrophotometric analysis.


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