Optimization method of excavation plan for non-pillar segmental caving method based on goal programming

Abstract

The invention discloses a pillarless sublevel caving mining plan optimization method based on target planning, and a problem that the working procedures of a mining plan are difficult to be reasonably connected in an implementation process can be effectively avoided. The method comprises a step of carrying out working procedure dividing of underground mining and counting the remaining workload of each working procedure in each section at the end of a year and the ore grade of a stope, a step of defining the mutual connection relation between the working procedures in the time, a step of obtaining the restriction relationship between adjacent stope backstopping according to the position relation of stopes in the space, and defining the equipment scheduling relationship of the same type of working procedures, a step of carrying out segmentation of a system project according to the production capacity of tunneling equipment and carrying out numbering, defining the logic relation of each segment of system project in a propulsion direction, associating the segmented system project and the stopes, and finding the system workload which is needed to be completed of any stope before backstopping, a step of establishing a pillarless sublevel caving mining plan optimization mathematical model based on target planning, and a step of solving the mathematical model and obtaining a mining plan optimization plan.

Description

technical field [0001] The invention relates to the field of mining, in particular to a mining plan optimization method based on goal planning for subsection caving without bottom pillars. Background technique [0002] The preparation of the mine excavation schedule has a profound impact on the overall economic benefits of the enterprise. The traditional manual preparation method is not only time-consuming and intensive, but also the accuracy of the plan is poor, and it is difficult to modify. The reason is mainly in the preparation of the underground mine excavation plan. In the process, it is necessary to comprehensively consider the constraints and continuity of each production process and stope in terms of time and space, and at the same time maximize the economic benefits of the enterprise. Therefore, in order to improve the accuracy and rationality of planning, the principles to be followed in planning should be transformed into constraints in the mathematical model, a...

AI Technical Summary

Problems solved by technology

Jia Mingtao and others used computer simulation technology to carry out the simulation analysis of the mining plan. The shortcoming of this method is that there is a need for a preview of the mining plan.

Yun Qingxia and Zhou Keping used the genetic algorithm in artificial intelligence to study and analyze the mining schedule plan, but the method itself has the difficulty of initial group selection and the risk of missing the optimal plan due to insufficient iterations

The mathematical programming method is a method to solve the objective function by establishing an abstract mathematical model and then obtain the mine mining schedule plan. For example, Dónal, Kumral, and M.Nehring all proposed mathematical models for optimizing the mine mining plan, but these models The solution results are all obtained on the basis that other underground processes can be well connected with the mining process. However, the production and mining of mines is a systematic project, and the underground mining plan has its inherent particularity and complexity. A single consideration The mining sequence of ore blocks is optimal, and it is difficult to ensure that the progress of other processes in the mine can keep up with the mining sequence of ore blocks, resulting in the inability to connect between processes and affecting the implementation of the schedule plan

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