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基于地音监测技术的矿震演化规律及预警模型研究

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矿震是冲击地压孕育及诱发的重要影响因素,针对煤矿矿震灾害地音预警问题,通过现场地音监测数据,对矿震发生前地音活动演化规律和前兆特征进行了分析,基于M-K趋势评估法,建立了矿震发生危险评价预警模型,并进行了效果检验和应用分析.研究结果表明:矿震发生前在生产班和检修班期间,煤岩体内应力受采动影响处于波动增长状态,导致地音活动具有"波动增长"的前兆模式;危险评价预警模型通过对地音前兆信息给出的定量评价对矿震的发生能够起到较好的预警作用.
Study on the evolution law and early warning model of mine tremor based on ground sound monitoring technology
Mine tremor is an important influencing factor for the incubation and induction of rock burst.Aiming at the early warning issue of mine tremor,the evolution law and forewarning characteristics of ground sound activity before the occurrence of mine tremors were analyzed through on-site ground sound monitoring data.Based on the M-K trend evaluation method,a risk assessment and early warning model for mine tremors was established,and its effect testing and application analysis were carried out.The research results indicated that during the production and maintenance shifts before the occurrence of a mine tremor,the stress in the coal rock mass was in a fluctuating growth state due to the influence of mining,leading to a forewarning pattern of"fluctuating growth"of the ground sound activities.The risk assessment and early warning model can provide a good early warning effect on the occurrence of mine tremor by quantitatively evaluating the forewarning information of ground sounds.

mine tremorground sound monitoring technologyforewarning informationM-K trend assessment methodearly warning model

王元杰

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中煤科工开采研究院有限公司,北京市 朝阳区,100013

天地科技股份有限公司开采设计事业部,北京市 朝阳区,100013

中国矿业大学矿业工程学院,江苏省徐州市,221116

煤炭科学研究总院开采研究分院,北京市 朝阳区,100013

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矿震 地音监测技术 前兆信息 M-K趋势评估法 预警模型

国家"科技助力经济2020"重点专项(2020)天地科技股份有限公司科技创新创业资金专项天地科技股份有限公司科技创新创业资金专项

SQ2020YFF04263642019-TD-2-CXY0042019-TD-2-CXY006

2024

中国煤炭
煤炭信息研究院

中国煤炭

CSTPCD北大核心
影响因子:0.736
ISSN:1006-530X
年,卷(期):2024.50(3)
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