Article

Research on Optimized Mine Equipment Configuration Using an Improved QUBO Model

1 College of Mathematics and Computer, Guangdong Ocean University, Zhanjiang 524088, China
2 College of Ocean Marine Engineering and Energy, Guangdong Ocean University, Zhanjiang 524088, China
3 College of Economic, Guangdong Ocean University, Zhanjiang 524088, China
*Corresponding Author: Zhi Li

https://doi.org/10.58531/esmmsi/1/3/6

Received: 28 July 2024 / Accepted: 24 August 2024 / Published: 26 August 2024

The intelligent mine has successfully attained the objective of cost reduction and efficiency enhancement, hence optimizing corporate advantages, through the implementation of a complete information system for mine safety production that facilitates connectivity among users at all hierarchical levels and diverse roles. Challenges such as unbalanced equipment layout and suboptimal efficiency have emerged as impediments to the advancement of intelligent mining operations. This scholarly paper presents a novel objective function that seeks to optimize earnings over a span of five years. The objective function incorporates binary 0-1 decision variables and auxiliary variables. The last step involves the establishment of many constraints, such as the stipulation for a minimum of three distinct excavators, limitations on the values assigned to decision and auxiliary variables, and restrictions on the quantities of each excav model. In conclusion, the utilization of the Kaiwu SDK in the simulated annealing solver yielded a viable solution for mining equipment, thereby offering a coherent strategy for the advancement of intelligent mining operations and the arrangement of mining equipment.


Fu T., Cao Y., Chen X., Liu S., Wu Y., Luo J., Ye M., Xi L., Cui J., Liu H., Ning D., Chen R, Liu B., Zhang Y., Li Z. Research on Optimized Mine Equipment Configuration Using an Improved QUBO Model. Eng. Solut. Mech. Mar. Struct. Infrastruct., 2024, 1(3), doi: 10.58531/esmmsi/1/3/6

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