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基于M2M技术的矿区环境监测平台研究
引用本文:张开生,陈明泽. 基于M2M技术的矿区环境监测平台研究[J]. 工矿自动化, 2013, 39(1): 63-67
作者姓名:张开生  陈明泽
作者单位:陕西科技大学电气与信息工程学院,陕西西安,710021
基金项目:陕西省教育厅科学研究项目(12JK0521);咸阳市科技计划项目(2011K07-11);榆林市校地合作项目(2011K04-29)
摘    要:为了有效监控矿区环境状况,预防安全事故的发生,介绍了一种基于M2M技术的矿区环境监测平台的设计方案。该平台采用M2M技术对矿区温湿度、瓦斯体积分数、土壤压力等环境数据进行监测,并采用RSSI算法实现矿区人员定位功能;采用最小二乘法对各环境监测数据进行曲线拟合处理后在上位机监控界面进行实时显示。实验结果表明,该平台运行良好,通信正常,且经拟合处理后的环境监测数据曲线更光滑,大大减小了数据误差。

关 键 词:矿区环境监测  人员定位  物联网  M2M  RSSI算法  最小二乘法  曲线拟合

Research of environment monitoring platform of mine area based on M2M
ZHANG Kai-sheng,CHEN Ming-ze. Research of environment monitoring platform of mine area based on M2M[J]. Industry and Automation, 2013, 39(1): 63-67
Authors:ZHANG Kai-sheng  CHEN Ming-ze
Affiliation:(College of Electrical and Information Engineering,Shannxi University of Science and Technology,Xi’an 710021,China)
Abstract:In order to monitor environmental status of mine area effectively and avoid occurrence of safety accidents,the paper introduced a design scheme of environment monitoring platform of mine area based on M2M technology.The platform uses M2M technology to monitor temperature,humidity,gas volume fraction,soil pressure and other environmental data in mine area,which also realizes function of personnel location by use of RSSI algorithm,and adopts least square method to do curve fitting for monitored environmental data for real-time display on monitoring interface of upper computer.The experimental result showed that the platform goes well with normal communication,and the monitored data curve after fitting processing is more smooth,which reduces data error greatly.
Keywords:environment monitoring of mine area  personnel location  Internet of things  M2M  RSSI algorithm  least square method  curve fitting
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