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网络型煤矿管道气体多参量监测二次仪表设计 被引量:1

Design of Secondary Instrument for Pipeline Gas Multi-parameter Monitoring Based on Network in Coal Mine
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摘要 本仪表主要用于监测煤矿管道气体流量、温度、压力、瓦斯浓度与抽排量,采用罗曼诺夫斯基准则与低通预测评估算法对管道气体多种参量进行滤波处理。提供多种信号采样接口,兼容第三方传感器。具有频率信号自建功能,能将所监测参量转换成标准方波信号供给后续仪表使用。设计两级CAN总线通信接口,方便与煤矿安全生产监控系统配套使用。实现监测的网络化、便捷化并服务于煤矿安全生产。 The instrument is mainly used to monitor the gas flow, temperature, pressure, mashgas concen- tration and pumping capacity in coal mine pipelines. Several parameters of pipeline gas were filtered by u- sing the Lomnaofski norm and low pass prediction evaluation algorithm. Multiple signal sampling interfaces were provided to be compatible with third party sensor signals. The monitored parameters could be conver- ted into standard square wave signal by the self-built function of frequency signal for using in subsequent instrument. The two-stage CAN bus communication interface was designed for convenient matching with the coal mine safety production for coal mine safety production. system. It can realize the networked and convenient monitoring .
作者 苗磊 沈晓波 台进军 MIAO Lei;SHEN Xiao-bo;TAI Jin-jun(School of Mechanical and Electrical Engineering, Huainan Normal University, Huainan,232038, Anhui;School of Electronic Engineering, Huainan Normal University, Huainan ,232038, Anhui;Huainan Runcheng Science & Technology Co. Ltd. , Huainan,232008, Anhui)
出处 《蚌埠学院学报》 2018年第5期53-58,共6页 Journal of Bengbu University
基金 安徽省高等学校自然科学重点项目(KJ2017A455) 淮南师范学院校级科学研究重点项目(2015xj10zd)
关键词 频率自建 低通预测评估算法 CAN总线 frequency self-building low pass prediction evaluation algorithm CAN bus
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