[1]余修武,范飞生,李睿,等.基于接收信号强度分区矿山无线定位算法[J].中国安全生产科学技术,2015,11(9):70-75.[doi:10.11731/j.issn.1673-193x.2015.09.011]
YU Xiu-wu,FAN Fei-sheng,LI Rui,et al.Study on wireless positioning algorithm in mine based on received signal strength partition[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2015,11(9):70-75.[doi:10.11731/j.issn.1673-193x.2015.09.011]
点击复制
基于接收信号强度分区矿山无线定位算法
YU Xiu-wu,FAN Fei-sheng,LI Rui,et al.Study on wireless positioning algorithm in mine based on received signal strength partition[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2015,11(9):70-75.[doi:10.11731/j.issn.1673-193x.2015.09.011]
《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]
- 卷:
- 11
- 期数:
- 2015年9期
- 页码:
- 70-75
- 栏目:
- 职业安全卫生管理与技术
- 出版日期:
- 2015-09-30
文章信息/Info
- Title:
- Study on wireless positioning algorithm in mine based on received signal strength partition
- Keywords:
- mine; partition between nodes; signal strength grading; positioning; wireless sensor network
- 分类号:
- X936
- 文献标志码:
- A
- 摘要:
- 针对井下工作人员的平时考勤以及发生井下事故时能够对受困人员进行及时有效的定位搜救，提出了一种接收信号强度分区（RSSP）定位算法。RSSP定位算法把井下相邻参考节点间划分为若干分区，根据井下人员（移动节点）所在巷道位置的接收信号及强度情况对其进行定位。此算法比较简单，功耗低。经过MATLAB模拟仿真，得出RSSP算法比经典的RSSI和RFID算法定位精度更高。
- Abstract:
- A positioning algorithm based on received signal strength partition (RSSP) was proposed for the daily checking attendance of underground workers and the timely and effective positioning rescue for stranded persons in case of underground accident. In the RSSP algorithm, the spacing between adjacent reference nodes is divided into several partitions, and the positions of underground workers (moving nodes) are determined according to the received signal and the corresponding strength in the roadway. The algorithm is relatively simple, with low power consumption. Through simulation by MATLAB, it showed that the positioning precision of RSSP algorithm was higher than that of traditional RSSI and RFID algorithm.
参考文献/References:
［1］殷文涛，傅贵，袁莎莎.2001~2012年我国重特大瓦斯爆炸事故特征及发生规律研究［J］.中国安全科学学报，2013，23（2）：141-147
YIN Wen-tao，FU Gui，YUAN Sha-sha. Study on basic characteristics and occurrence regularity of major gas explosion accidents in Chinese coal mines during 2001-2012 ［J］.China Safety Science Journal，2013，23（2）：141-147
［2］袁显平，严永胜，张金锁.我国煤矿矿难研究综述［J］.中国安全科学学报，2014，24（8）：132-138
YUAN Xian-ping，YAN Yong-sheng，ZHANG Jin-suo. Overview of researches on coal accident in China ［J］. China Safety Science Journal，2014，24（8）:132-138
［3］刘运杰，金明路，崔承毅.基于RSSI的无线传感器网络修正加权质心定位算法［J］.传感器技术学报，2010，23（5）：717-721
LIU Yun-jie，JIN Ming-lu，CUI Cheng-yi. Modifed weighted centroid localization algorithm based on RSSI for WSN ［J］. Chinese Journal of Sensors and Actuators，2010，23（5）：717-721
［4］张炜，李静静，孟庆黎.一种改进的煤矿井下无线传感器质心定位算法［J］.河北工程大学学报，2014,31（1）：74-77
ZHANG Wei，LI Jing-jing，MENG Qing-li. An improved centroid localization algorithm for wireless sensor networks in underground coal mine ［J］. Journal of Hebei University of Engineering (Natural Science Edition)，2014，31（1）：74-77
［5］于雷，陈佳林.基于无线移动通信的矿山应急通信与监测系统研究［J］.中国安全生产科学技术，2014（10）：300-303
YU Lei，CHEN Jia-lin. Study on mine emergency communication and monitoring system based on wireless mobile［J］. Journal of Safety Science and Technology ，2014（10）：300-303
［6］黄成玉，李思敏，肖海林.基于ZigBee技术的矿井人员定位算法研究［J］.通信技术，2010,43（8）：195-198
HUANG Cheng-yu，LI Si-min，XIAO Hai-lin. Location algorithm of underground personnel based on ZigBee technology ［J］. Communications Technology，2010,43（8）：195-198
［7］苟胜难.基于改进的RSSI无线传感器网络节点定位算法研究［J］.计算机应用研究.2012,29（5）：1867-1869
GOU Sheng-nan. Application research about wireless sensor network nodes location algorithm based on improved RSSI ［J］. Application Research of Computers，2012，29（5）：1867-1869
［8］韩东升，杨维，刘洋等.煤矿井下基于RSSI的加权质心定位算法［J］.煤炭学报，2013,38（3）：522-528
HAN Dong-sheng，YANG Wei，LIU Yang. A weighted centroid localization algorithm based on received signal strength indicator for underground coal mine ［J］. Journal of China Coal Society，2013，38（3）：522-528
［9］魏振春，吕增威，杨成等.基于RSS正确性判断的矿井机车无线定位方法［J］.仪器仪表学报，2014，35（1）：178-184
WEI Zhen-chun，LV Zeng-wei，YANG Cheng.Wireless positioning method based on correctness judgment of received signal strength for mine locomotive［J］.Chinese Journal of Scientific Instrument ，2014，35（1）：178-184
［10］高国胜，陈俊杰，李刚.基于RSSI测距的信标节点自校正定位算法［J］.测控技术，2009，28（8）：93-97
GAO Guo-sheng，CHEN Jun-jie，LI Gang. Beacon node self-tuning localization algorithm based on RSSI ［J］. Measurement & Control Technology，2009，28（8）：93-97
相似文献/References:
[1]韩光胜,程健维,易光旺.国外矿山开采沉陷预计技术研究及应用概述[J].中国安全生产科学技术,2011,7(10):41.
HAN Guang-sheng,CHENG Jian-wei,YI Guang-wang.The overview of research and application on foreign mining subsidence prediction[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2011,7(9):41.
[2]廖国礼,关清安,荆宁川.矿山安全管理核心框架结构研究[J].中国安全生产科学技术,2010,6(1):173.
LIAO Guo-li,GUAN Qing-an,JING Ning-chuan.Research on key safety management framework for mine[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2010,6(9):173.
[3]苏宏杰,魏杰,史先锋,等.新发展阶段中国矿山安全法规标准体系研究*[J].中国安全生产科学技术,2021,17(12):117.[doi:10.11731/j.issn.1673-193x.2021.12.019]
SU Hongjie,WEI Jie,SHI Xianfeng,et al.Research on Chinese mine safety regulation and standard system in new development stage[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2021,17(9):117.[doi:10.11731/j.issn.1673-193x.2021.12.019]
备注/Memo
- 备注/Memo:
- 湖南省科技厅重点研发项目（2015SK2005）；江西省科技厅科技项目（20121BBG70065）；江西省教育厅科技项目（GJJ12667）；南华大学博士基金项目（2013XQD12）；湖南省教育厅自然科学研究重点项目（15A161）
