煤炭工程 ›› 2024, Vol. 56 ›› Issue (1): 148-155.doi: 10.11799/ce202401022

• 研究探讨 • 上一篇    下一篇

冲击地压多参量智能化监测分析及预警研究

史志红,巩思园,曹远威,等   

  1. 1. 中煤科工集团北京华宇工程有限公司
    2. 中国矿业大学
    3. 江苏徐矿能源股份有限公司 张双楼煤矿
  • 收稿日期:2023-07-31 修回日期:2023-12-08 出版日期:2024-01-20 发布日期:2024-01-29
  • 通讯作者: 史志红 E-mail:kunzai1988@163.com

Research on multi-parameter early warning monitoring and analysis based on intelligent warning platform

  • Received:2023-07-31 Revised:2023-12-08 Online:2024-01-20 Published:2024-01-29

摘要: 针对张双楼煤矿冲击地压成因复杂、预警监测单一造成的预警准确率低的问题,基于冲击地压智能化预警平台,对张双楼煤矿冲击地压现状及监测预警效能进行分析。在智慧矿山理念背景下,以“应力场-能量震动场-变形场”为监测预警框架,从引发冲击地压的内因和外因两个维度出发,提出了以应力、震动波、钻屑量和地音值为参量的多参量监测预警方法,结合参量分析技术对冲击地压发生前各监测数据变化特征进行系统全面评价,为张双楼煤矿冲击地压预警与科学及时解危提供依据。现场应用结果表明,多参量监测预警方法的综合预警能力及准确度显著优于单一指标预警系统,为矿井安全开采和智能化矿井建设提供了参考借鉴价值。

关键词: 冲击地压, 显现机理, 智能监测, 多参量预警, 综合预警预测

Abstract: Based on the intelligent early warning platform for impact pressure, this paper analyzes the current situation of impact pressure in Zhang Shuanglou Coal Mine and the effectiveness of monitoring and early warning based on the complex causes of impact pressure and the low accuracy of early warning caused by a single early warning monitoring. In the background of intelligent mine concept, the monitoring and early warning framework is "stress field-energy vibration field-deformation field", and the multi-participant monitoring and early warning method with stress, vibration wave, drill chip volume and ground sound value as parameters is proposed from two dimensions of internal and external causes of impact ground pressure initiation, which is combined with parametric analysis technology to systematically and comprehensively evaluate the change characteristics of each monitoring data before the occurrence of impact ground pressure. This method is used to evaluate the change characteristics of the monitoring data before the occurrence of impact pressure, and to provide a basis for early warning and scientific and timely relief of the impact pressure in Zhang Shuanglou coal mine. The results of the field application show that the comprehensive warning capability and accuracy of the multi-parameter monitoring and warning method are significantly better than that of the single-indicator warning system, which provides a reference value for the promotion of safe mining and intelligent mine construction.

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