Quantitative Methods to Support Data Acquisition Modernization within Copper Smelters
| العنوان: | Quantitative Methods to Support Data Acquisition Modernization within Copper Smelters |
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| المؤلفون: | Roberto Parra, Ryan Wilson, Phillip J. Mackey, Norman Toro, Jean-Christophe Nave, Andrés Ross, Alessandro Navarra |
| المصدر: | Processes, Vol 8, Iss 1478, p 1478 (2020) Processes Volume 8 Issue 11 |
| بيانات النشر: | MDPI AG, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Industry 4.0, Computer science, adaptive finite differences, 0211 other engineering and technologies, Bioengineering, 02 engineering and technology, Business process reengineering, lcsh:Chemical technology, computer.software_genre, radiometric sensors, lcsh:Chemistry, Data acquisition, nickel-copper smelter, Chemical Engineering (miscellaneous), Process control, lcsh:TP1-1185, Discrete event simulation, 021102 mining & metallurgy, discrete event simulation, Process Chemistry and Technology, Peirce-smith converting, 021001 nanoscience & nanotechnology, Process automation system, Expert system, lcsh:QD1-999, Control system, copper smelter, Systems engineering, matte-slag chemistry, 0210 nano-technology, computer |
| الوصف: | Sensors and process control systems are essential for process automation and optimization. Many sectors have adapted to the Industry 4.0 paradigm, but copper smelters remain hesitant to implement these technologies without appropriate justification, as many critical functions remain subject to ground operator experience. Recent experiments and industrial trials using radiometric optoelectronic data acquisition, coupled with advanced quantitative methods and expert systems, have successfully distinguished between mineral species in reactive vessels with high classification rates. These experiments demonstrate the increasing potential for the online monitoring of the state of a charge in pyrometallurgical furnaces, allowing data-driven adjustments to critical operational parameters. However, the justification to implement an innovative control system requires a quantitative framework that is conducive to multiphase engineering projects. This paper presents a unified quantitative framework for copper and nickel-copper smelters, which integrates thermochemical modeling into discrete event simulation and is, indeed, able to simulate smelters, with and without a proposed set of sensors, thus quantifying the benefit of these sensors. Sample computations are presented, which are based on the authors&rsquo experiences in smelter reengineering projects. |
| وصف الملف: | application/pdf |
| تدمد: | 2227-9717 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6752a9c7bbafb23ab51af585a8cfd853 https://doi.org/10.3390/pr8111478 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....6752a9c7bbafb23ab51af585a8cfd853 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 22279717 |
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