AUTOMATIC CONTROL AND ARTIFICIAL INTELLIGENCE: DEVICE FOR CONTINUOUS CHLORINE RESIDUAL MEASUREMENT

2nd International Symposium On Biotechnology (2024),  [431-437]

AUTHOR(S) / АУТОР(И): Tomislav Trišović, Ana Trišović, Lidija Rafailović, Branimir Grgur, Zaga Trišović

E-MAIL: trisa@tmf.bg.ac.rs

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DOI: 10.46793/SBT29.55TT

ABSTRACT / САЖЕТАК:

Bacteriologically safe water is crucial for potable and food production, which is obtained using disinfection. Disinfectants must be broad-spectrum, act swiftly, withstand organic matter, maintain stability across pH levels, be non-toxic, minimally corrosive, and pleasant-smelling. Precise dosing is vital, typically achieved via automated membrane dosing pumps, and is ensured by measuring residual chlorine post-disinfection. This paper introduces devices utilising amperometric electrodes to maintain active chlorine levels of 0.2 to 0.5 mg/l. Industrial computer and touch panel aid data storage and visualisation, enabling performance prediction via machine learning. Deployed at the dairy company Kozanostra in Osečina, it’s a major water safety advancement.

KEYWORDS / КЉУЧНЕ РЕЧИ:

water quality, disinfection, automation, machine learning, artificial intelligence

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