文档介绍：矿井突水监测科氏力质量流量计的设计*
童敏明,秦海鹏
(中国矿业大学信息与电气工程电学院徐州 221008)
摘要:介绍了一种实时在线监测矿井底板突水的科氏力质量流量计。它以FPGA,STM32F103为核心,采用基于神经网络的信号处理算法进行信号处理,可以精确分析水流量质量信号的频率和相位差,消除了检测电路的零飘及干扰信号的影响。实验数据表明,%,%。
关键词:矿井突水;科氏力质量流量计;信号处理;RBF神经网络
中图分类号:TB971 文献标识码:A 国家标准学科分类代码:
Design of Coriolis mass flowmeter for monitoring water inrush inmine
Tong Minming, Qin Haipeng
(College of Information and Electrical Engineering, CUMT, Xuzhou 221008, China)
Abstract:This paper introduces the design of a Coriolis mass flowmeter for the on-line monitoring of water inrush in mine. FPGA and STM32F103 are used in the design. work is used in the signal processing for accurate measurement of water flow. The work algorithm could accurately track the signal frequency; calculate the phase difference between two signals, and is insensitive to circuit zero drift and interference. Experiment results show that the relative error of the measuring system is % for mass flow and % for water density in detecting the source of water inrush after sample training.
Key words:water inrush in mine; Coriolis mass flowmeter; signal processing; RBF work
1 引言
煤矿开采过程中的突水事故,对于其安全生产和人员生命安全造成了严重的威胁,同时也造成了巨大的经济损失。在底板灰岩承压水水压过高,而隔水层隔水能力不足,或隔水层局部破坏形成突水通道时,采掘工作面一旦揭露这些区域,就很容易发生突水事故[1]。目前一般通过水位法或水化学分析[2]的方法判断突水源,但这些方法实时性差。
在矿井底板钻探采样孔,采样来自不同岩层的水源,通过测量流体密度和流量能为实时判定可能的突水源提供依据。
收稿日期:2008-12