A Decision Support System for Changes in Operation Modes of the Copper Heap Leaching Process

Metals

Manuel Saldaña¹  Víctor Flores¹  Carlos Moraga²  Pedro Robles³  Purísima Neira⁴ 

[1] Department of Computing and Systems Engineering, Universidad Católica del Norte, Antofagasta 1270709, Chile;Escuela de Ingeniería Civil de Minas, Facultad de Ingeniería, Universidad de Talca, Curicó 3340000, Chile;Escuela de Ingeniería Química, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340000, Chile;Faculty of Engineering and Architecture, Universidad Arturo Prat, Iquique 1110939, Chile;

关键词: intelligent recommendation systems;    heap leaching;    planning modes of operation;   

DOI  :  10.3390/met11071025

来源: DOAJ

【 摘 要 】

Chilean mining is one of the main productive industries in the country. It plays a critical role in the development of Chile, so process planning is an essential task in achieving high performance. This task involves considering mineral resources and operating conditions to provide an optimal and realistic copper extraction and processing strategy. Performing planning modes of operation requires a significant effort in information generation, analysis, and design. Once the operating mode plans have been made, it is essential to select the most appropriate one. In this context, an intelligent system that supports the planning and decision-making of the operating mode has the potential to improve the copper industry’s performance. In this work, a knowledge-based decision support system for managing the operating mode of the copper heap leaching process is presented. The domain was modeled using an ontology. The interdependence between the variables was encapsulated using a set of operation rules defined by experts in the domain and the process dynamics was modeled utilizing an inference engine (adjusted with data of the mineral feeding and operation rules coded) used to predict (through phenomenological models) the possible consequences of variations in mineral feeding. The work shows an intelligent approach to integrate and process operational data in mining sites, being a novel way to contribute to the decision-making process in complex environments.

【 授权许可】

Unknown