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首页> 外文会议>Proceedings of the 5th conference on the use of computers in the coal industry >Systematic On-Site Monitoring of Compliance Dust Samples
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Systematic On-Site Monitoring of Compliance Dust Samples

机译：对合格粉尘样品进行系统的现场监控

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摘要

Maintaining compliance with U.S. respirable coal mine dust standards can be difficult on high-productivity longwall panels. Comprehensive and systematic analysis of compliance dust sample data, coupled with access to the U.S. Bureau of Mines' (USBM) DUSTPRO, can yield important information for use in maintaining compliance. The objective of this study was to develop and apply a customized software for the collection, storage, modification, and analysis of respirable dust data while providing for flexible export of data and linking with the USBM's expert advisory system on dust control.rnAn executable, IBM-compatible software was created and customized for use by the person in charge of collecting, submitting, analyzing, and monitoring respirable dust compliance samples. Both descriptive statistics and multiple regression analysis were incorporated. The software allows ASCII files to be exported and directly links with DUSTPRO. After development and validation of the software, longwall compliance data from two different mines was analyzed to evaluate the value of the software. Data included variables on respirable dust concentration, tons produced, the existence of roof/floor rock (dummy variable), and the sampling cycle (dummy variables). Because of confidentiality, specific data will not be presented, only the equations and ANOVA tables. The final regression models explained 83.8% and 61.1% of the variation in the data for the two panels. Important correlations among variables within sampling cycles showed the value of using dummy variables for sampling cycles.rnThe software proved flexible and fast for its intended use. The insights obtained from use improved the systematic monitoring of respirable dust compliance data, especially for pinpointing the most effective dust control methods during specific sampling cycles. Following model evaluations, the value of collecting additional data on water pressure, cumulative distance of bad roof on a shift, air quantity and velocity, and tram speed during cutting was acknowledged.
机译：在高生产率的长壁板上很难保持符合美国可呼吸煤矿粉尘标准。对合规性粉尘样品数据进行全面，系统的分析，再加上对美国矿务局（USBM）DUSTPRO的访问，可以获取重要信息，以用于保持合规性。这项研究的目的是开发和应用定制的软件，以收集，存储，修改和分析可吸入粉尘数据，同时提供灵活的数据导出功能并与USBM的粉尘控制专家咨询系统链接。创建并定制了兼容的软件，以供负责收集，提交，分析和监控可吸入粉尘达标样品的人员使用。描述性统计和多元回归分析都被纳入。该软件允许导出ASCII文件，并直接与DUSTPRO链接。在软件开发和验证之后，分析了来自两个不同矿场的长壁合规性数据，以评估软件的价值。数据包括有关可吸入粉尘浓度，产生的吨数，屋顶/地板岩石的存在（虚拟变量）和采样周期（虚拟变量）的变量。由于机密性，将不显示特定数据，仅显示方程式和ANOVA表。最终回归模型解释了两个面板的数据变化的83.8％和61.1％。采样周期内变量之间的重要相关性表明了将虚拟变量用于采样周期的价值。rn该软件证明了其预期用途的灵活性和快速性。通过使用获得的见解改善了对可吸入粉尘达标数据的系统监控，特别是在特定采样周期内查明最有效的粉尘控制方法。通过模型评估，可以确认收集更多有关水压，换档时坏屋顶的累积距离，空气量和速度以及切割过程中电车速度的数据的价值。

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