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煤层瓦斯含量拟合装备的设计 被引量:1

The design of rapid prediction system on coal seam gas content
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摘要 煤层瓦斯含量预测中需要对样煤的瓦斯含量进行测试分析。样煤瓦斯解吸速率随时间延长逐渐降低,所以需要采用一种极低压损的气体流量传感器进行测试。为适应这一需求,仪表设计采用了微机电系统(MEMS)流量传感器FS4001,通过混合信号处理器12位A/D转换实现气体流量采集,再根据样煤瓦斯解吸速率随时间变化的幂函数关系,自动拟合推导出自然状态下样煤解吸的瓦斯总量。该仪表实现了数据采集、多组存储、时间设定、解吸速率曲线显示、总量逻辑推导、损失量拟合等多项功能,在微气体测量领域有很好的应用前景。 In this paper, coal seam gas content forecast needs to test and analyse the gas content of the coal sample. Gas desorption rate of coal sample gradually reduced with time extension , so we need to use a very low pressure loss of the gas flow sensor for testing. In order to adapt to the demand, the instrument design uses micro electro mechanical system (MEMS) flow sensor FS4001, to realize the collection of gas flow through the mixed signal processor 12 bit A/D conversion. According to coal sample gas desorption power function relation- ship between the rate changing over time, automatic matching is deduced under the natural state sample total coal desorption of gas. This instrument has realized the data acquisition, storage of more groups, curve dis-play, time setting, desorption rate total logic deduction, the loss in fitting and so on in the field of micro gas measurement with its good application prospect.
机构地区 华北科技学院
出处 《华北科技学院学报》 2014年第1期5-8,共4页 Journal of North China Institute of Science and Technology
关键词 MEMS 流量传感器 曲线拟合 最小二乘法 MEMS flow sensor curve fitting least square method
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