Citas bibligráficas
Luquillas, W., (2021). Optimización del rendimiento del sistema de control de molinos de rodillos de alta presión en plantas concentradoras polimetálicas para incrementar la producción [Trabajo de suficiencia profesional, Universidad Nacional de Ingeniería]. http://hdl.handle.net/20.500.14076/21796
Luquillas, W., Optimización del rendimiento del sistema de control de molinos de rodillos de alta presión en plantas concentradoras polimetálicas para incrementar la producción [Trabajo de suficiencia profesional]. PE: Universidad Nacional de Ingeniería; 2021. http://hdl.handle.net/20.500.14076/21796
@misc{renati/266844,
title = "Optimización del rendimiento del sistema de control de molinos de rodillos de alta presión en plantas concentradoras polimetálicas para incrementar la producción",
author = "Luquillas Artica, Walter Dennis",
publisher = "Universidad Nacional de Ingeniería",
year = "2021"
}
The present research aims to optimize the performance of the control system of a high pressure grinding rolls (HPGR), utilized in concentrating plants for polymetallic minerals. To optimize this control system, a process control platform composed of six components is developed: control narratives, tuning and monitoring of control loops, historian of process variables, alarm management, process constraints identifier and as a last and important component, management of change. The platform is described in detail indicating the main requirements that must be met to start the optimization, additionally this platform must be fully aligned with the control architecture of the plant. The platform allows to obtain the needed indicators to identify improvements to the HPGR control system and in the specific case of the study, three indicators are analyzed, first one is the percentage of utilization in automatic mode of the main control loops for the HPGR, the number of stops of the HPGR due to internal protections and the variability of the speed of the HPGR rollers. Finally, the PDCA (Plan-Do-Check-Act) methodology is utilized to order and systematize the optimizations according to the test plan, during the period assigned to the tests, these changes are developed iteratively and with all the contingency measures to avoid any significant impact on the production of the machine.
Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons