Please use this identifier to cite or link to this item:
https://scidar.kg.ac.rs/handle/123456789/20863
Title: | AUTOMATIC CONTROL AND ARTIFICIAL INTELLIGENCE: DEVICE FOR CONTINUOUS CHLORINE RESIDUAL MEASUREMENT |
Authors: | Trišović, Tomislav Trišović, Ana Rafailović, Lidija Grgur, Branimir Trišović, Zaga |
Issue Date: | 2024 |
Abstract: | 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. |
URI: | https://scidar.kg.ac.rs/handle/123456789/20863 |
Type: | conferenceObject |
DOI: | 10.46793/SBT29.55TT |
Appears in Collections: | Faculty of Agronomy, Čačak |
Files in This Item:
File | Description | Size | Format | |
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55-Tomislav_Trisovic.pdf | 955.11 kB | Adobe PDF | View/Open |
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