With the continuous development of the mining industry, the world’s major mines have gradually entered the intelligent stage. In intelligent underground mines, the operation roads of the underground transportation equipment are very complicated, and the monitoring and control of the underground traffic have become the problems to be solved in the intelligent underground mines. Therefore, on the basis of solving the practical problems of underground mines, the concept paper discusses the possibility of the communication-based train control (CBTC) system being applied to underground mines through the summary and induction of the related literature. As mining engineers, we have proposed the function design for the CBTC system to solve the problems in underground mine rail transportation, but we still need to continue to work hard for the future development of the underground mines. The concept paper serves as a guide to the Tossing out a brick to get a jade gem, and it has implications for the development and the future of underground mine transportation.

The Function Design for the Communication-Based Train Control (CBTC) System: How to Solve the Problems in the Underground Mine Rail Transportation?

Sublevel stoping is a commonly used underground mining method in which the profit can be increased by optimizing the layout plan. The complexity of the sublevel stope layout problem is demonstrated...

Sublevel stope layout planning through a greedy heuristic approach based on dynamic programming

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The Function Design for the Communication-based Train Control (CBTC) System: How to Solve the Problems in the Underground Mine Rail Transportation?

In many underground mines, haulage vehicles (trucks or road trains) carry ore from underground loading stations to the surface. Vehicles travel in declines with occasional passing bays that allow descending empty vehicles to pull off the main path and wait for ascending laden vehicles to pass. The haulage productivity of a mine is affected by the number of passing bays and their locations. We have developed a simulator and a mixed integer programming model to study the optimal location of passing bays and the associated sizing and scheduling of the haulage fleet. This paper presents some practical implications of our study.

Efficient vehicle haulage in underground mines

In many underground mines, haulage vehicles carry ore from underground loading stations to the surface. Vehicles travel in narrow tunnels with occasional passing bays that allow descending empty vehicles to pull off the main path and wait for ascending laden vehicles to pass. The number of passing bays and their locations influence the delays to descending vehicles, and hence the haulage productivity of the mine. We formulate and solve a mixed integer programming (MIP) model to determine the optimal locations of passing bays to maximise haulage productivity for given numbers of vehicles and passing bays. The MIP also generates the corresponding vehicle schedule. Previous studies have only examined the placement of equally spaced bays. The results obtained from the MIP show that this is not always optimal. Furthermore, we observe that the best locations of passing bays are those that allow interleaving of vehicles without delays at bays.

https://link.springer.com/content/pdf/10.1057%2Fjors.2012.42.pdf

D. H. Lee

Papers

Optimising passing bay locations and vehicle schedules in underground mines