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煤自燃正压束管分级监测预警技术应用研究

Study on the application of coal spontaneous combustion positive pressure beam tube classification monitoring and early warning.

机构信息

College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.

State Key Laboratory Cultivation Base for Gas Geology and Gas Control, Henan Polytechnic University, Jiaozuo, 454000, China.

出版信息

Environ Sci Pollut Res Int. 2023 Jun;30(30):75735-75751. doi: 10.1007/s11356-023-27421-3. Epub 2023 May 24.

DOI:10.1007/s11356-023-27421-3
PMID:37222889
Abstract

To improve the accuracy of early warning on coal spontaneous combustion (CSC), this paper, on the basis of the principle of preferential selection of index gases in CSC process, carries out fitting analysis of the variation curve of index gas data with coal temperature by combining logistic fitting model, then establishes a CSC graded warning system based on positive pressure beam tube monitoring, and determines CO, O, φ(CO)/φ(O), CH, CH, φ(CH)/φ(CH) as the index gases for predicting and forecasting CSC, and accurately divides the CSC process into seven levels of early warning: safe, gray, blue, yellow, orange, red, and black. Applying the CSC positive pressure beam tube monitoring system to Dongtan coal mine and analyzing the error by manual sampling and sampling by positive pressure beam tube system, we find that the error is less than 0.1%. Monitoring of several working faces, we get that the CO and CH concentrations of 14,320 working face are higher than the normal level at the beginning of mining, and the 100 × CO/ΔO value is higher than the gray warning threshold of 0.1, and the warning level is gray warning. After taking timely preventive measures against coal oxidation and warming, the CO and CH concentrations return to the normal level and the warning level drops to the safe level. This paper improves the monitoring, identifying and early warning capabilities of underground CSC in its early stage.

摘要

为提高煤炭自燃(CSC)早期预警的准确性,本文基于CSC 过程中指标气体优先选择的原理,结合 logistic 拟合模型对指标气体数据与煤温变化曲线进行拟合分析,建立了基于正压束管监测的 CSC 分级预警系统,并确定 CO、O、φ(CO)/φ(O)、CH、C2H4、φ(CH)/φ(C2H4)作为预测和预报 CSC 的指标气体,准确地将 CSC 过程划分为七个预警级别:安全、灰色、蓝色、黄色、橙色、红色和黑色。将 CSC 正压束管监测系统应用于东滩煤矿,并通过人工采样和正压束管系统采样对误差进行分析,发现误差小于 0.1%。对几个工作面进行监测,发现 14320 工作面在开采初期 CO 和 CH 浓度高于正常值,100×CO/ΔO 值高于 0.1 的灰色预警阈值,预警级别为灰色预警。采取及时的防止煤氧化和升温的措施后,CO 和 CH 浓度恢复到正常值,预警级别降至安全级别。本文提高了地下 CSC 早期的监测、识别和预警能力。

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