Study on Modeling and Scheduling Optimization Algorithm of Mining-Excavation Planning

• Published in: 2016 9th International Symposium on Computational Intelligence and Design (ISCID) Vol. 2; pp. 22 - 25
• Main Authors: Jian Ming, Nailian Hu, Jinhai Sun
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2016
• Subjects: Data mining; Firing; mining process modeling and scheduling; mining-excavation planning; Modeling; multiobjective optimization; optimization algorithm; Ores; Petri nets; Planning; Production
• ISSN: 2473-3547
• DOI: 10.1109/ISCID.2016.2014

The mining-excavation plan plays an important part in the operation management and business intelligence system construction of the mining enterprise and has great impact on decision-making of the mining enterprise. This paper takes the decision support system underground metal mine as the research object and studies its model and algorithm. Based on goals and constraints of ore blending operations, the ore blending model is established by using the theory and technology of multiobjective programming and the ore blending plan is optimized, which provides the theoretical basis and data support for the mining-excavation planning. Based on the experience and knowledge of domain experts and constraints of mining, the stope superseding and verification model is established by using the experts system and its inference mode, therefore the stoping sequence of ore blocks is worked out. In view of the cost characteristics of underground mining the mining-excavation planning model is established by using the time Petri net extended with price information, thus the minimum production cost and corresponding mining-excavation plan are worked out by using the above model.