Proposed Conceptual Design of Artificial Intelligence Integration into a Pressure Oxidation Facility
Pages 74 - 82
Abstract
Research on Artificial Intelligence has substantially increased in various disciplines to address safety and operation difficulties such as the mineral processing Industry. The control system of a Pressure Oxidation facility was evaluated to determine potential opportunities for the integration of Artificial Intelligence. Several challenges were identified during the start-up operations of the Autoclave including typographical errors, possible non-compliance with Standard Operating Procedures, and the need for expertise to manage the operations. These conditions satisfy the need to explore an AI system that can potentially minimize human intervention. Through related reviews, this study suggested a hybrid approach through incorporation of safe oxygen operation limits as part of supervised learning and to develop predictive models using historical data to predict the optimal oxygen requirement to achieve maximum oxidation results thereby making the POX process an ideal candidate for Artificial Intelligence system integration. A data flow diagram and user interface prototype were developed to illustrate the role of the proposed Artificial Intelligence system in controlling the Autoclave, which can significantly minimize human errors that can potentially improve safety and boost productivity.
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Published In
December 2022
141 pages
ISBN:9798400700095
DOI:10.1145/3578997
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Published: 04 March 2023
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ICSEB 2022: 2022 6th International Conference on Software and e-Business
December 9 - 11, 2022
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