首页|Jeonbuk National University Researcher Reports Research in Machine Learning (Sma rt Strategic Management for the Cold Plasma Process Using ORP Monitoring and Tot al Organic Carbon Correlation)
Jeonbuk National University Researcher Reports Research in Machine Learning (Sma rt Strategic Management for the Cold Plasma Process Using ORP Monitoring and Tot al Organic Carbon Correlation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on artificial intelligence is now available. According to news originating from Jeonju, South Korea, by Ne wsRx correspondents, research stated, "Assessing oxidation-reduction potential ( ORP) is of paramount importance in the efficient management of wastewater within both chemical and biological treatment processes." Our news journalists obtained a quote from the research from Jeonbuk National Un iversity: "However, despite its critical role, insufficient information exists a bout how reactive chemical species generated by cold plasma (CP) in chemical tre atment are associated with ORP and air flow rate. Therefore, we aim to identify the correlation between ORP and the removal of organic pollutants when using CP treatment. Additionally, we introduce a machine-learning-based operation to pred ict removal efficiency in the CP process. Results reveal a significant correlati on of over 0.9 between real-time ORP and total organic carbon (TOC), which under scores the efficacy of ORP as a key parameter." According to the news reporters, the research concluded: "This approach made it possible to control OH radical generation by regulating the air flow rate of the CP. This study posits that smart management facilitated by machine learning has the potential to enhance the economic viability of CP feasibility while maintai ning overall treatment performance."
Jeonbuk National UniversityJeonjuSou th KoreaAsiaCyborgsEmerging TechnologiesMachine Learning
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