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DC Field | Value | Language |
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dc.rights.license | CC0 1.0 Universal | * |
dc.contributor.author | Trišović, Tomislav | - |
dc.contributor.author | Trišović, Ana | - |
dc.contributor.author | Rafailović, Lidija | - |
dc.contributor.author | Grgur, Branimir | - |
dc.contributor.author | Trišović, Zaga | - |
dc.date.accessioned | 2024-05-30T07:42:54Z | - |
dc.date.available | 2024-05-30T07:42:54Z | - |
dc.date.issued | 2024 | - |
dc.identifier.isbn | 9788687611917 | en_US |
dc.identifier.uri | https://scidar.kg.ac.rs/handle/123456789/20863 | - |
dc.description.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. | en_US |
dc.description.sponsorship | This article/publication is based upon work from COST Action CA21112 - Offshore freshened groundwater: An unconventional water resource in coastal regions? (OFF-SOURCE), supported by COST (European Cooperation in Science and Technology). | en_US |
dc.language.iso | en | en_US |
dc.publisher | Faculty of Agronomy in Čačak, University of Kragujevac | en_US |
dc.rights | info:eu-repo/semantics/openAccess | - |
dc.rights.uri | http://creativecommons.org/publicdomain/zero/1.0/ | * |
dc.source | 2nd INTERNATIONAL SYMPOSIUM ON BIOTECHNOLOGY | - |
dc.subject | water quality | en_US |
dc.subject | disinfection | en_US |
dc.subject | automation | en_US |
dc.subject | machine learning | en_US |
dc.subject | artificial intelligence | en_US |
dc.title | AUTOMATIC CONTROL AND ARTIFICIAL INTELLIGENCE: DEVICE FOR CONTINUOUS CHLORINE RESIDUAL MEASUREMENT | en_US |
dc.type | conferenceObject | en_US |
dc.description.version | Published | en_US |
dc.identifier.doi | 10.46793/SBT29.55TT | en_US |
dc.type.version | PublishedVersion | en_US |
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 |
This item is licensed under a Creative Commons License