基于声波的放顶煤过程自动控制系统  

Automatic control systems in top-coal caving based on acoustic wave

作　　者：宋庆军[1,2] 肖兴明[1] 张天顺 王建立 

机构地区：[1]中国矿业大学机电学院,江苏徐州221008 [2]山东科技大学泰安校区机电工程系,山东泰安271019 [3]郑州煤炭工业(集团)有限公司,河南郑州450000

出　　处：《计算机工程与设计》2015年第11期3123-3127,共5页Computer Engineering and Design

基　　金：国家自然科学基金项目(50905179);泰安市科技计划基金项目(201430774)

摘　　要：由于目前缺少能够检测综采工作面放煤过程中堵煤、卡煤故障的方法,提出一种放顶煤开采放煤过程的自动化控制系统。提取放煤过程的声音信号进行小波降噪,进行经验模态分解,提出离散的Hilbert变换的方法及瞬时能量的计算,完成放煤过程中煤矸混放比例的识别及堵煤、卡煤故障诊断。实验结果表明,该方法能识别出煤矸混合比例,实现了矸石含量的在线检测及堵煤、卡煤故障特征识别,提高了放煤效率。Aiming at the problem of the absence of detecting blockings during top-coal caving,the automatic control system was established.The acoustic signals were de-noised using the wavelet and decomposed using the empirical mode decomposition（EMD）.The discrete Hilbert transform method and the transient energy calculation method were proposed,the recognition of coal gangue scale and blocking fault diagnosis were solved.Experimental results show that the proposed method can recognize the scale of coal gangue,realize the on-line detection of gangue scale and the blocking feature recognition,and improve the caving rate.

关 键 词：放顶煤工作面 声波分析 煤矸识别 堵煤故障 离散Hilbert 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]