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一种基于幅频矢量感知的井下定位算法

A Coal Mine Localization Algorithm Based on the Amplitude Vector Perception

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【作者】 姚运全李瑾郭银景梁泉泉郭登岭刘虹

【Author】 YAO Yunquan 1,LI Jin2,GUO Yinjing2,LIANG Quanquan2,GUO Dengling3,LIU Hong2 (1.Xiezhuang Coal Mine,Xinwen Mining Group Co.Ltd,Xinwen,Shandong 271221,China; 2.College of Information and Electrical Engineering,Shandong University of Science and Technology,Qingdao,Shandong 266590,China; 3.Nanpu Oilfield,CNPC Jidong Oilfield Company,Tangshan,Hebei 063200,China)

【机构】 新汶矿业集团有限责任公司协庄煤矿山东科技大学信息与电气工程学院中国石油冀东油田公司南堡油田

【摘要】 现有的矿山人员定位系统定位精度低,不能满足煤矿安全生产和灾后救援系统的需要。提出了一种矿用精密定位算法。在该算法中,移动节点接收巷道空间的电磁波,在分析所接收电磁波的基础上,进行信息融合并构造幅频特性矢量,经马尔科夫滤波与模式匹配,将幅频特性矢量映射到巷道的电子地图,进而得到移动节点的精确位置信息。实验表明,该算法定位误差小于2m,计算复杂度较低,易于工程实现,能够满足煤矿安全生产的需要。

【Abstract】 As the low precision of the existing localization system can’t meet the needs of the coal mine production safety and the disaster relief system,a new localization algorithm is proposed in this paper.According to such algorithm,the information was fused and the amplitude vector was built based on the analysis of the electromagnetic wave in the roadway which the mobile node received.After Marov filtering and pattern matching,the vector was mapped to the roadway electronic map,and the precise location of the mobile node could be obtained.Experiments show that the localization algorithm,whose error is less than 2 m,can meet the safety needs of the coal mine production because of its low computational complexity and easy project realization.

【基金】 国家自然科学基金项目(61071087);中国煤炭工业协会项目(MTKJ2011-363);山东省自然科学基金项目(ZR2011FM018)
  • 【文献出处】 山东科技大学学报(自然科学版) ,Journal of Shandong University of Science and Technology(Natural Science) , 编辑部邮箱 ,2012年06期
  • 【分类号】TD67
  • 【被引频次】5
  • 【下载频次】93
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