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基于ARM和信息融合技术的矿井环境监测系统
  • 期刊名称:压电与声光
  • 时间:0
  • 页码:661-664+668
  • 语言:中文
  • 分类:TP393[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]辽宁工程技术大学电气与控制工程学院,辽宁葫芦岛125105
  • 相关基金:国家自然科学基金资助项目(50874059);教育部博士点基金资助项目(200801470003)
  • 相关项目:煤矿瓦斯融合决策与预测控制理论研究
中文摘要:

针对煤矿井下的环境复杂性,提出一种低成本、低功耗和高性能的网络化安全监测与预警系统很必要。介绍了一种基于三星公司32位ARM处理器的用于煤矿环境监测与预警的解决方案,提出了硬件构成及相关算法的实现方法,该系统通过在ARM中进行多传感器信息融合处理,利用两级融合进行多传感器状态识别,最后通过开滦集团钱家营煤矿数据作应用,证明了系统的实用性和可靠性。同时利用ARM良好的网络集成性能将现场局域网通过以太网与远程监控主机互联,实现系统的监控、决策网络化,优化和提高了系统的使用性能。

英文摘要:

Aimed at the complex environment in local mine,it is essential to propose a network of safety monitoring and warning system with low cost,low power consumption and high performance. This paper provided a solution applying to environment monitoring and warning system based on 32 bit ARM (Advanced RISC Machines) processor made by Samsung Company. It provided hardware components and related algorithm and made multi-sensor information fusion processing in ARM, which could identify multi-sensor status by a two level fusion structure. Finally it proved the practicality and reliability of the system by using the real data provided by Kailuan Group Qian JiaYing Coal Mine. Meanwhile it realized the system monitoring, decision-making network, optimization and improved the system performance based on the good network integration performance of ARM by interconnecting field LAN via Ethernet and remote monitoring host.

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