The optimization system, which was the subject of our study, is an autonomous chain for the automatic management of cyanide consumption. It is in the phase of industrial automation which made it possible to use the machines in order to reduce the workload of the worker while keeping a high productivity and a quality in great demand. Furthermore, the use of cyanide in leaching tanks is a necessity in the gold recovery process. This consumption of cyanide must be optimal in these tanks in order to have a good recovery while controlling the concentration of cyanide. Cyanide is one of the most expensive products for mining companies. On a completely different note, we see huge variations during the addition of cyanide. Following a recommendation from the metallurgical and operations teams, the control team carried out an analysis of the problem while proposing a solution to reduce the variability around plus or minus 10% of the addition setpoint through automation. It should be noted that this automatic optimization by monitoring the concentration of cyanide, made use of industrial automation which is a technique which ensures the operation of the ore processing chain without human intervention. In other words, it made it possible to substitute a machine for man. So, this leads us to conduct a study on concentration levels in the real world. The results show that the analysis of the modeling of the cyanide consumption optimization system is an appropriate solution to eradicate failures in the mineral processing chain. The trend curves demonstrate this resolution perfectly.
References
[1]
Truong-Meyer, X.-M. (2023) Modélisation en génie des procédés. https://www.techniques-ingenieur.fr/base-documentaire/procedes-chimie-bio-agro-th2/modelisation-en-genie-des-procedes-42328210/modelisation-en-genie-des-procedes-j1021/
[2]
Benao, B. (2021) Optimization of the Safety of Operation of Industrial Systems: Case of the Elution Circuit of the Burkina Mining Company Factory. Master’s Thesis, Ouagadougou High Institute of Technology, Ouagadougou, 98p.
[3]
Kouraogo, M. (2021) Methods and Measures of Industrial Risks in a Mining Company: Case of the Production Facilities of the Roxgold Sanu Sa Factory. Master’s Thesis, Ouagadougou High Institute of Technology, Ouagadougou, 96p.
[4]
Diarra, B. (2022) Analysis and Design of an Integrated Quality, Hygiene, Safety, Environment Management System in a Mining Company: Case of the Syama Mining Company (SOMISY-SA). Master’s Thesis, High Institute of Ougadougou, Ouagadougou, 125p.
[5]
Rabi, M., Johansson K.H. and Johansson, M. (2008) Optimal Stopping for Event-Triggered Sensing and Actuation. 2008 47th IEEE Conference on Decision and Control, Cancun, 9-11 December 2008, 3607-3612. https://ieeexplore.ieee.org/abstract/document/4739489
[6]
Benaissa, I.E. and Boukacem, M. (2020) Programmation par les outils STEP7 et WINCC de la sous station séparation. http://dspace.univ-tlemcen.dz/handle/112/15748
[7]
(2012) Unity Pro: Programming Languages and Structure. https://pdfcoffee.com/unity-pro-xl-manual-pdf-free.html
[8]
SIMATIC—S7-200 to S7-1200 Transition Manual. https://fr.scribd.com/document/319433225/SIMATIC-S7-200-to-S7-1200-Transition-Manual
ATS-PLC Ver1.0 Programmable Touch-Screen Automatic Transfer Switch Control Unit Operation Manual. https://www.kutai.com.tw/download/ats-plc/ats-plc-manual-en.pdf