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长抽短压通风下综掘工作面粉尘分布特征研究
引用本文:赵政, 林桂玲. 综掘工作面呼吸性粉尘浓度时空场函数研究[J]. 矿业安全与环保, 2024, 51(1): 19-26, 35. DOI: 10.19835/j.issn.1008-4495.20221073
作者姓名:赵政  林桂玲
作者单位:1.煤矿灾害防控全国重点实验室,重庆 400037;2.中煤科工集团重庆研究院有限公司, 重庆 400037
基金项目:重庆市博士“直通车”项目(CSTB2023NSCQ-BSX0010);中国煤炭科工集团重点项目(2021-2-TD-ZD009)
摘    要:

综掘工作面呼吸性粉尘浓度时空场函数研究是粉尘防治和尘肺预警的基础。分析了综掘工作面呼吸性粉尘浓度监测关键点, 提出呼吸性粉尘浓度传感器测点布置方案;以关键监测点的呼吸性粉尘浓度传感器实测数据作为实时来源, 对比剖析了距离加权反比法和克里金法的优缺点, 建立了一种扩展的空间插值算法;归纳半变异理论, 将呼吸性粉尘浓度变化的时间维度和空间维度引入到半变异函数中, 得到一种呼吸性粉尘时空场算法, 建立综掘工作面呼吸性粉尘浓度时空场函数模型;最后, 以河南新桥煤矿2502工作面作为对象, 以滤膜称重法为标准, 对时空场函数进行了试验验证。结果发现: 在综掘工作面司机5~10 m、端头回风侧10~15 m区域内的呼吸性粉尘浓度较高且变化较剧烈, 而在回风侧15 m后方呼吸性粉尘浓度开始逐步趋于平稳降低;综掘工作面呼吸性粉尘浓度时空场函数模型计算结果相对误差为±14.8%, 比克里金法小±10.8%, 比距离加权反比法小±22.4%。研究结果表明, 综掘工作面呼吸性粉尘浓度时空场函数模型将时间维度和空间维度纳入了权重系数中, 构建的时空场函数模型能更好地提高插值计算的精度, 提升去特异值点的能力。



关 键 词:综掘工作面  呼吸性粉尘  浓度时空场  半变异理论  函数模型
收稿时间:2022-10-23
修稿时间:2023-02-06

Respiratory health and silicosis in artisanal mine workers in southern Brazil
ZHAO Zheng, LIN Guiling. Research on spatiotemporal field function of respirable dust concentration in fully mechanized excavation working face[J]. Mining Safety & Environmental Protection, 2024, 51(1): 19-26, 35. DOI: 10.19835/j.issn.1008-4495.20221073
Authors:ZHAO Zheng  LIN Guiling
Affiliation:1.State Key Laboratory of Coal Mine Disaster Prevention and Control, Chongqing 400037, China;2.CCTEG Chongqing Research Institute, Chongqing 400037, China
Abstract:The study of the spatiotemporal field function of the respirable dust concentration in fully mechanized excavation working face is the basis of dust prevention and early warning of pneumoconiosis.The key points of respirable dust concentration monitoring were analyzed, and the layout plan of measuring points of respirable dust concentration sensors was proposed.Taking the measured data of respirable dust concentration sensor at key monitoring points as the real-time source, the advantages and disadvantages of distance weighted inverse ratio method and Kriging method were compared and analyzed, and an extended spatial interpolation algorithm was established.The semi-variation theory was summarized, and the time dimension and space dimension of the change of respirable dust concentration were introduced into the semi-variation function to obtain a spatiotemporal field algorithm of respirable dust.The spatiotemporal field function model of respirable dust concentration in fully mechanized excavation working face was established.Finally, taking 2502 working face of Xinqiao Coal Mine in Henan Province as the object, the spatiotemporal field function was verified by the test based on the filter membrane weighing method.The results show that the concentration of respirable dust of the drivers from 5 m to 10 m in fully mechanized excavation working face and from 10 m to 15 m on the return air side is high and varies sharply, while the concentration of respirable dust begin to decrease steadily 15 m behind the return air side.The relative error of the calculated results of the spatiotemporal field function model of respirable dust concentration in fully mechanized excavation working face is ±14.8%, which is ±10.8% less than the Kriging method and ±22.4% less than the distance weighted inverse method.The results show that the spatiotemporal function model of respirable dust concentration in fully mechanized excavation working face incorporates the time dimension and space dimension into the weight coefficient, and the constructed spatiotemporal field function model improves the accuracy of interpolation calculation and the ability to remove specific value points.
Keywords:fully mechanized excavation working face  respirable dust  concentration spatiotemporal field  semi-variation theory  functional model
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