首页|斜沟煤矿厚煤层综采工作面顶板断裂失稳规律及智能预测设计

斜沟煤矿厚煤层综采工作面顶板断裂失稳规律及智能预测设计

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随着煤矿智能化综采工作面的快速发展,顶板破断失稳规律及来压的智能预测成为迫切需要解决的问题,该问题的解决对于进一步完善综采工作面智能化控制体系、防范采场顶板灾害的发生具有重要意义.以斜沟煤矿厚煤层综采工作面为工程技术背景,结合该工作面煤岩地质特征及生产技术条件,利用数值模拟方法,研究了工作面顶板破断规律及应力演化特征,分析了顶板断裂失稳引起的矿压显现特征及其对煤岩稳定性和支架稳定性的影响,确定了9种特征参数作为反映顶板断裂失稳的特征信息,并作为智能矿压监测预警模型的基础参量.由此设计了工作面矿压多参量信息智能感知系统,为煤矿综采工作面智能矿压监测预警提供了一种新思路.
Law and intelligent prediction design of roof breaking instability of fully-mechanized mining face of thick coal seam in Xiegou Coal Mine
With the rapid development of intelligent fully-mechanized mining face in coal mine,the law of roof breaking instability and the intelligent prediction of pressure have become urgent problems to be solved.The solution of the problem is of great significance to further improve the intelligent control system of fully-mechanized mining face and prevent the occurrence of stope roof disasters.There-fore,based on the engineering and technical background of the fully-mechanized mining face of thick coal seam in Xiegou Coal Mine,combined with the geological characteristics and production technical conditions of the coal and rock,this paper used numerical simula-tion method to study the roof breaking law and stress evolution characteristics of the working face,and analyzed the characteristics of mine pressure display caused by roof breaking instability and its influence on the stability of coal and rock and support.Nine character-istic parameters were determined as the characteristic information to reflect the roof breaking instability,and as the basic parameters of intelligent mine pressure monitoring and warning model.Therefore,the intelligent sensing system of multi-parameter information of mine pressure was designed,providing a new idea for intelligent mine pressure monitoring and early warning in fully-mechanized coal mine.

roof breaking lawintelligent mine pressuremine pressure characteristic informationintelligent pressure warningdeep learning

杨丛鑫、刘长友

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中国矿业大学矿业工程学院,江苏徐州 221116

顶板破断规律 智能矿压 矿压特征信息 智能来压预警 深度学习

国家自然科学基金资助项目

52174137

2024

煤炭科技
江苏省徐州矿务集团有限公司 江苏省煤炭学会 中国矿业大学

煤炭科技

影响因子:0.17
ISSN:1008-3731
年,卷(期):2024.45(3)