地下采矿过程中支护体系的优化设计

Optimization Design of Support System in Underground Mining

地下采矿过程中,支护体系是确保矿井安全和有效开采的重要因素。为了提高支护体系的设计水平和矿井安全生产水平,本文研究了基于经验法、数值模拟和人工智能的支护体系优化设计方法。其中,经验法是一种简便易行的方法,数值模拟则可以通过建立矿体的数值模型进行支护体系的优化设计,人工智能则可以通过机器学习和深度学习等技术对支护体系进行优化。同时,本文以某煤矿采场的支护体系优化设计为实例,探究了不同方法的优缺点,并提出了一种综合运用多种方法的支护体系优化设计方案。

In the process of underground mining,the support system is an important factor to ensure the safety and effective mining of the mine.In order to improve the design level of sup-port system and mine safety production level,this paper studies the optimization design method of support system based on empirical method,numerical simulation and artificial intelligence.Among them,the empirical method is a simple and easy method.The numerical simulation can optimize the design of the support system by establishing the numerical model of the ore body.The artificial intelligence can optimize the support system through machine learning and deep learning.At the same time,taking the optimization design of the support system of a coal mine stope as an example,this paper explores the advantages and disadvantages of different methods,and puts forward an optimization design scheme of the support system that comprehensively uses multiple methods.