多参量时空关联的煤矿动力灾害动态评估预警方法及系统
By deploying fiber optic accelerometers and mine pressure sensors in coal mining areas to acquire multi-parameter monitoring data, constructing a dynamic disaster risk assessment model and dynamically allocating weights, the problems of delayed early warning response and insufficient accuracy in existing technologies are solved, and efficient early warning of coal mine dynamic disasters is achieved.
CN121473919BActive Publication Date: 2026-07-17KUNMING UNIV OF SCI & TECH
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- KUNMING UNIV OF SCI & TECH
- Filing Date
- 2026-01-04
- Publication Date
- 2026-07-17
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Figure CN121473919B_ABST
Abstract
本发明公开了多参量时空关联的煤矿动力灾害动态评估预警方法及系统，涉及煤矿灾害预警技术领域。方法包括：基于布设在煤矿开采区域的光纤加速度传感器和矿用压力传感器，获取多参量监测数据；将多参量监测数据输入灾害影响评估平台进行计算，获得灾害影响评估数据集；基于灾害影响评估数据集构建动力灾害风险判定模型，并对动力灾害风险判定模型进行动态权重分配，输出灾害风险评估结果；将灾害风险评估结果与预设风险等级阈值进行匹配，确定风险等级，并依据风险等级执行预警响应。解决了现有技术中煤矿动力灾害评估预警缺乏多参量综合分析，导致预警响应滞后且准确性不足的技术问题，达到了提高灾害预警的准确性和时效性的技术效果。
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