STUDY OF ALGORITHM FOR JOB INFORMATION-MEASURING AND CONTROL SYSTEM THE QUALITY CONTROL OF DRINKING WATER 

Juhno Aleksandra Igorevna, postgraduate student, Southern Federal University (105/42 Bol'shaya Sadovaya street, Rostov-on-Don, Russia), E-mail: a.bachmackaja@gmail.com 

504.064.3 

10.21685/2307-5538-2019-4-1 

Background. The quality of drinking water depends on many parameters that change dynamically, while the disinfection system used at typical water treatment plants is not able to adapt to these changes in a timely manner. This is often the cause and has a negative impact on the health of the population. In this regard, the main purpose of this study is to control the dosage of chloragent and the content of disinfection byproducts in the «online» mode.
Materials and methods. In the course of the study, the parameters of drinking water quality control at water treatment plants were evaluated and simulated using intelligent analysis methods, namely neural network modeling and fuzzy logic methods.
Results. An algorithm has been developed that implements the operation of the information-measuring system for monitoring the dosing of chloragent and the content of disinfection byproducts in the «online» mode. The creation of the algorithm was carried out in the simulation environment Simulink. The approbation of the algorithm, which allows to reflect the efficiency of the information and measurement system of drinking water quality control, was carried out.
Conclusions. The algorithm, which implements the work of the intelligent information and measurement system of chloragent dosing control, allows to process several input parameters of water quality control and adjust the chlorine dosage from the position of assessing the carcinogenic risk of organochlorine compounds formation. 

algorithm, quality control, information and measurement system, drinking water, neural network technologies, fuzzy logic