基于AOA的矿井人员精确定位技术
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摘要
分析了AOA测距算法原理,设计了矿井人员精确定位系统总体架构,提出一种基于AT86RF233相位差测距的矿井人员精确定位系统,读卡器采用2根定向天线接受无线信号,根据2根天线的接受无线信号强度差异实现方向识别,通过时分复用方式和双信道解决无线信号碰撞问题。试验结果表明系统定位精度达到1 m以内,有效覆盖范围达到200 m,满足矿井高精度定位需要,验证了方案的可行性。
The paper analyzes the principle of AOA ranging algorithm, designs the overall framework of the precise positioning system for the mine personnel, and proposes a precise positioning system of mine personnel based on AT86RF233 phase difference ranging. The card reader uses two directional antennas to receive wireless signals, and realizes direction recognition based on the received signal strength differences of the two antennas. The collision of wireless signals is solved by time division multiplexing and dual channels. The experimental results show that the positioning accuracy of the system is less than 1.0 meters and the effective coverage is up to 200 m, which meets the high-precision positioning requirements of the mine and verifies the feasibility of the scheme.
The paper analyzes the principle of AOA ranging algorithm, designs the overall framework of the precise positioning system for the mine personnel, and proposes a precise positioning system of mine personnel based on AT86RF233 phase difference ranging. The card reader uses two directional antennas to receive wireless signals, and realizes direction recognition based on the received signal strength differences of the two antennas. The collision of wireless signals is solved by time division multiplexing and dual channels. The experimental results show that the positioning accuracy of the system is less than 1.0 meters and the effective coverage is up to 200 m, which meets the high-precision positioning requirements of the mine and verifies the feasibility of the scheme.
引文
[1]AQ 6210-2007煤矿井下作业人员管理系统通用技术条件[S].
[2]孙继平.煤矿物联网特点与关键技术研究[J].煤炭学报,2011,36(1):167-171.
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[4]王飞.基于TOF技术的煤矿井下精确定位系统设计与实现[J].煤炭技术,2015,34(10):262-263.
[5]申伟光.基于UWB技术的煤矿井下无线定位系统[J].煤矿安全,2018,49(10):131-134.
[6]高富,贺艳军.基于WiFi技术的煤矿井下人员定位系统研究[J].煤炭工程,2017,49(8):160-162.
[7]李晨鑫,温良,姚永辉,等.基于电磁波测距的矿井目标精确定位技术研究[C]∥第十界全国煤炭工业生产一线青年技术创新文集.北京:中国煤炭学会,2016:434-442.
[8]李飞,高瑜翔,焦启源,等.基于AT86RF233的室内定位系统[J].电子设计工程,2016,24(12):108-111.
[9]姚飞.基于到达相位测距的室内定位系统研究与实现[D].武汉:华中师范大学,2016:1-67.
[10]姚文详.ARM Cortex-M3权威指南[M].北京:北京航空航天大学出版社,2009.
[2]孙继平.煤矿物联网特点与关键技术研究[J].煤炭学报,2011,36(1):167-171.
[3]张科帆,朱海霞,包建军.基于CSS技术的井下精确定位系统设计[J].工况自动化,2014,40(1):5-8.
[4]王飞.基于TOF技术的煤矿井下精确定位系统设计与实现[J].煤炭技术,2015,34(10):262-263.
[5]申伟光.基于UWB技术的煤矿井下无线定位系统[J].煤矿安全,2018,49(10):131-134.
[6]高富,贺艳军.基于WiFi技术的煤矿井下人员定位系统研究[J].煤炭工程,2017,49(8):160-162.
[7]李晨鑫,温良,姚永辉,等.基于电磁波测距的矿井目标精确定位技术研究[C]∥第十界全国煤炭工业生产一线青年技术创新文集.北京:中国煤炭学会,2016:434-442.
[8]李飞,高瑜翔,焦启源,等.基于AT86RF233的室内定位系统[J].电子设计工程,2016,24(12):108-111.
[9]姚飞.基于到达相位测距的室内定位系统研究与实现[D].武汉:华中师范大学,2016:1-67.
[10]姚文详.ARM Cortex-M3权威指南[M].北京:北京航空航天大学出版社,2009.