|本期目录/Table of Contents|

[1]宋广东,胡宾鑫,刘统玉,等.基于微震信号特征的防盗采测点布置研究[J].中国安全生产科学技术,2016,12(1):5-10.[doi:10.11731/j.issn.1673-193x.2016.01.001]
　SONG Guangdong,HU Binxin,LIU Tongyu,et al.Research on arrangement of measuring points for anti-theft mining based on micro-seismic signal characteristics[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2016,12(1):5-10.[doi:10.11731/j.issn.1673-193x.2016.01.001]
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基于微震信号特征的防盗采测点布置研究
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
12
期数:
2016年1期
页码:
5-10
栏目:
学术论著
出版日期:
2016-01-30

文章信息/Info

Title:
Research on arrangement of measuring points for anti-theft mining based on micro-seismic signal characteristics
文章编号:
1673-193X（2016）-01-0005-06
作者:
宋广东1; 2; 胡宾鑫1; 刘统玉1; 王纪强1; 王金玉1
（1.山东省科学院激光研究所，山东 济南 250014； 2. 中国矿业大学<北京>煤炭资源与安全开采国家重点实验室，北京 100083)
Author(s):
SONG Guangdong1; 2;  HU Binxin1;  LIU Tongyu1;  WANG Jiqiang1;  WANG Jinyu1
(1. Institute of Laser, Shandong Academy of Sciences, Jinan Shandong 250014, China; 2. State Key Laboratory of Coal Resources and Safe Mining, China University of Mining & Technology, Beijing 100083, China)
关键词:
防盗采; 爆破; 测点布置; 微震信号特征
Keywords:
anti-theft mining;  blasting;  measuring point arrangement;  micro-seismic signal characteristics
分类号:
X936
DOI:
10.11731/j.issn.1673-193x.2016.01.001
文献标志码:
A
摘要:
矿井盗采给矿山企业带来了经济损失和安全隐患。微震监测技术是实时在线监测爆破盗采活动的有效手段，但人类活动产生多种非盗采引起的震动信号，给信号分析处理带来困难。设计不同的试验，采集多种震源触发的震动信号，采用时频分析，基于长短时窗STA/LTA值，并计算最大值MAXSTA/LTA，结合信号时长、震幅等参数，定量分析各种震源信号特征。针对各种信号特征，通过优化传感器的空间布置，有效过滤掉与盗采活动无关的干扰信号，简化了信号分析处理难度，实现了盗采活动的高精度监测。
Abstract:
The theft mining has brought economic losses and potential safety hazard to mine enterprises. The micro-seismic monitoring technology is an effective way for real-time and online monitoring on blast theft mining, but the human activities produce various vibration signals, which brings difficulty to signal analysis and processing. In this paper, different experiments were designed to acquire the vibration signals triggered by various seismic sources. By using time-frequency analysis, the maximum value MAXSTA/LTA was calculated based on the long-short time window STA/LTA value. Combined with the signal duration, amplitude and other parameters, the signal characteristics of various seismic sources were quantitatively analyzed. According to the characteristics of various signals, the interference signals being independent of the theft mining were filtered effectively through optimizing the spatial arrangement of sensors. The difficulty of signal analysis and processing was simplified, and the monitoring on theft mining with high precision was realized.

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备注/Memo

备注/Memo:
山东省科技发展计划资助项目（2014GSF120017）；山东省科学院重大创新专项
更新日期/Last Update: 2016-03-01