An Intelligent Supervising System for the Operation of an Underground Mine.

Cordova, F. M., Cañete, L., Quezada, L. E., Yanine, F.

Keywords: Intelligent System, Discrete Event System Modelling, Cognition and Control, Knowledge Based System, Petri Nets

Abstract

This paper presents a conceptual model for an Intelligent System built to support the scheduling for an underground mine in order to supervise its operation. The system is composed by a Simulation Model linked to a Knowledge Based System designed by means of hierarchical, colored and temporal Petri Nets. Simulation Model allows simulating the operation of the production, reduction and transport levels in the mine. Knowledge Based System is activated by events produced in daily operations and yields the results of registered events and the actions taken to solve the problem, generating operation rules. The proposed model allows different types of mine operations and scenarios providing data for decision-making. The system helps to evaluate different policies for programming the activities in the mine thus seeking to enlarge the equipment productivity. The model also allows the feasibility assessment of the Daily Master Plan based on the input data of the simulation model.

Más información

Título de la Revista: INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS CONTROL
Volumen: 3
Número: 3
Editorial: CCC PUBL-AGORA UNIV
Fecha de publicación: 2008
Página de inicio: 259
Página final: 269
Idioma: Ingles
Financiamiento/Sponsor: USACH
DOI:

https://doi.org/10.15837/ijccc.2008.3.2394

Notas: WOS, SCOPUS Clarivate Analytics/SCI Expanded/ISI Web of Science: IF=1.585 (Q3). Scopus: CiteScore2018=1.56 (Q2)