Failure risk identification of supporting bolt in coal mine roadway

The reliable bolt support system and real-time monitoring system of coal mine roadway can monitor the surrounding rock stress of bolt in real time and prevent the occurrence of mine pressure accidents. However, there are few studies on the failure and destruction of anchor structure, and there is no effective means to identify the failure risk of anchor structure. Based on a coal mining project, the field monitoring test of FBG(Fiber Bragg Grating)bolt sensor is carried out, and the mutation point detection algorithm based on statistical principle is improved. The structural failure risk identification algorithm for supporting bolt in coal mine roadway is formed, and the identified mutation / jump point is further analyzed. The model curve of abnormal state of bolt is put forward, and the support state of field bolt is classified, and the early warning state of field service bolt in coal mine roadway is determined.

搜集汇总

背景与挑战

背景概述

该数据集专注于煤矿巷道支护螺栓的失效风险识别，基于现场FBG传感器监测数据，改进了突变点检测算法，形成了结构失效风险识别算法，并提出了螺栓异常状态模型曲线和预警状态分类。数据集包含8个Excel文件，主题为工程学，使用CC0 1.0许可证公开共享，适用于煤矿安全监测和风险评估研究。