| 煤矿典型动力灾害风险判识及监控预警技术“十三五”研究进展 |
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| 作者姓名： | 袁亮 |
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| 作者单位： | 1.安徽理工大学，安徽淮南 232000 |
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| 基金项目： | 国家重点研发计划2016YFC0801400国家自然科学基金51804309 |
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| 摘 要： | 冲击地压、煤与瓦斯突出等煤矿典型动力灾害的风险判识和监控预警是煤矿安全生产的重点和难点。在“十三五”期间，针对该问题重点开展了煤矿典型动力灾害风险判识及监控预警关键技术研究及装备研发工作，建立了开采扰动和多场耦合叠加效应下煤矿动力灾害孕育演化机理和发生发展的新理论，提出了煤矿典型动力灾害多参量前兆信息智能判识理论及预警模型；开发了具有故障自诊断、高灵敏、标校周期长的前兆信息采集传感技术与装备；通过对异构数据融合、自组网、抗干扰等技术研究，提出了矿井关键区域人机环参数全面采集、多元信息共网传输新方法，为煤矿典型动力灾害监控预警系统安全无故障运行提供了技术保障；构建了自动化、信息化、智能化预警平台，平台具备故障自诊断、高灵敏、响应时间短、标校周期长、抗干扰等功能，预警准确率提升到90 % 以上。通过煤矿典型动力灾害监测预警基础研究-关键技术开发-应用示范的有机融合，实现了煤矿重大灾害灾变隐患在线监测、智能判识和实时准确预警。
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| 关 键 词： | 煤矿 典型动力灾害 风险判识 监控 预警 |
| 收稿时间： | 2021-01-20 |
Risk identification,monitoring and early warning of typical coal mine dynamic disasters during the 13th Five-Year Plan period |
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| Affiliation: | 1.Anhui University of Science and Technology, Huainan 232000, China2.Beijing Key Laboratory for Precise Mining of Intergrown Energy and Resources, China University of Mining and Technology-Beijing, Beijing 100083, China |
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| Abstract: | Risk identification, monitoring and early warning of typical coal mine dynamic disasters such as rock burst, coal and gas outburst is the focus and difficulty of coal mine safety production. During the 13th Five-Year Plan period. In order to solve this problem, we carried out the research on the development of key technologies and equipment for risk identification, monitoring and early warning of typical power disasters in coal mines, a new theory of breeding and evolution mechanism and occurrence and development of coal mine dynamic disaster under the effect of mining disturbance and multi-field coupling superposition was established, the intelligent identification theory and early warning method of multi parameter precursory information of typical dynamic disasters in coal mines were put forward; the precursory information acquisition and sensing technology and equipment with fault self-diagnosis, high sensitivity and long calibration period were developed. Through the research of heterogeneous data fusion, ad hoc network, anti-interference and other technologies, the comprehensive collection of man-machine environment parameters and multi information in key areas of coal mines are proposed The new method of common network transmission provides technical support for the safe and trouble free operation of coal mine typical power disaster monitoring and early warning system. An automatic, informatized and intelligent early warning platform is constructed, which realizes the functions of fault self diagnosis, high sensitivity, short response time, long calibration period, anti-interference, etc., and the early warning accuracy is improved to more than 90 %. Through the organic integration of early warning basic research, key technology development and application demonstration has realized online monitoring, intelligent identification and real-time accurate early warning of hidden major disasters in coal mine have been realized. |
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