A Multi-Equipment Task Assignment Model for the Horizontal Stripe Pre-Cut Mining Method

Abstract

This paper proposes a multi-equipment task assignment model for the horizontal stripe pre-cut mining method to address the problem of cooperative scheduling operation of multi-equipment in underground metal mines under complex constraints. The model is constructed with multiple objectives, including operation time, operational efficiency, equipment utilization rate, and ore grade fluctuation by considering the constraints of time, space, equipment, and processes. The NSGA-III algorithm is used to obtain the solution. The effectiveness of the algorithm is tested based on the actual data from the Chambishi Copper Mine. The results show that the average equipment utilization rate is 51.25%, and the average ore output efficiency is 278.71 tons/hour. The NSGA-III algorithm can quickly generate the optimal multi-equipment task assignment solution. The solution reduces the interference of manual experience and theoretically improves the actual operation of the mine.

A Lean Scheduling Framework for Underground Mines Based on Short Interval Control

“…The scheduling decision support algorithm library is dynamic and continuously improved and expanded. Figure 8 shows the existing algorithm library, which includes the following algorithms: Task Assignment Algorithm for Trackless Equipment [23][24][25][26]: Underground mining is a location-discrete, multi-process, and multi-equipment collaborative production process. This algorithm was used to configure equipment and assign tasks under complex underground mining constraints to rationalize the sequence of operations and maximize efficiency and mining succession.…”

A Dynamic Scheduling Model for Underground Metal Mines under Equipment Failure Conditions

“…The zone consisted of eight stopes, and the initial plan, shown in Figure 12, was part of the optimal plan created by a multi-equipment task assignment model for the horizontal stripe pre-cut mining method [24].…”

“…The zone consisted of eight stopes, and the initial plan, shown in Figure 12, was part of the optimal plan created by a multi-equipment task assignment model for the horizontal stripe pre-cut mining method [24]. The main technical parameters of the mining equipment, including the horizontal hole drilling rig, medium-deep hole drilling rig, charging rig, scaling rig, LHD, and bolter, are listed in Table 6.…”

“…In the present research study, the dynamic characteristics of dynamic events (mining equipment failures) were considered. The direct application of the available methods to underground mines has certain limitations [24]. However, through the analysis of the dynamic scheduling driving mechanism and method, we found it possible to solve this problem via the reconfiguration of dynamic scheduling mechanisms and methods.…”