Design of precise 3D positioning system for mine roadway based on UWB

SHEN Guojie; ZHOU Desheng; ZHENG Xuena; LI Min

doi:10.19835/j.issn.1008-4495.2020.06.015

Mining Safety & Environmental Protection > 2020 > 47(6): 80-84. > DOI: 10.19835/j.issn.1008-4495.2020.06.015

SHEN Guojie, ZHOU Desheng, ZHENG Xuena, LI Min. Design of precise 3D positioning system for mine roadway based on UWB[J]. Mining Safety & Environmental Protection, 2020, 47(6): 80-84. DOI: 10.19835/j.issn.1008-4495.2020.06.015

Citation:

PDF (1793 KB)

Design of precise 3D positioning system for mine roadway based on UWB

1. Chongqing Water Resources and Electric Engineering College, Chongqing 402160, China;
2. CCTEG Chongqing Research Institute, Chongqing 400039, China;
3. City College of Science and Technology, Chongqing University, Chongqing 402167, China

More Information

Received Date: September 16, 2019
Revised Date: March 06, 2020
Available Online: September 16, 2022

Graphical Abstract

Abstract

Abstract

Due to the irregular spatial distribution of mine roadway, disorganized equipment, random layout, poor working environment, and common phenomenon of NLOS (Non Line of Sight), etc., the positioning accuracy of personnel and equipment is low, in view of this problem, a novel precise three-dimensional positioning system based on Ultra Wide Band(UWB) is designed. Firstly, Kalman algorithm was used to perform NLOS filtering for TDOA measurements, then Chan algorithm was used to fuse multi-base station data to calculate the target position. An experimental platform was built to measure and calculate the label location. The experimental results show that the system has high positioning accuracy for both fixed and moving targets in mine roadway under harsh environment.
- UWB,
- three-dimensional positioning,
- TDOA,
- Kalman filter,
- Chan

FullText(HTML)

References (15)

References

[1]	孙继平.煤矿井下安全避险“六大系统”建设指南[M]. 北京:煤炭工业出版社, 2012.
[2]	陈新科, 喻川, 文智力. UWB定位技术在煤矿井下的应用[J]. 煤炭科学技术, 2018, 46(增刊1):190-192.
[3]	孙哲星. 煤矿井下人员精确定位方法[J]. 煤炭科学技术, 2018, 46(3): 130-134.
[4]	孙哲星, 孙继平. 异步测时矿井人员精确定位方法[J]. 煤炭学报, 2018, 43(5):282-288.
[5]	刘世森. 基于UWB的矿井人员精准定位技术[J].煤矿安全,2019, 50(6):118-120.
[6]	方文浩, 陆阳, 卫星.基于区域判定的超宽带井下高精度定位[J].计算机应用, 2018, 38(7):1989-1994.
[7]	张令文, 杨刚. 超宽带室内定位关键技术[J]. 数据采集与处理, 2013, 28(6):706-713.
[8]	ANGELIS G D, MOSCHITTA A, CARBONE P. Positioning techniques in indoor environments based on stochastic modeling of UWB round-trip-time measurements [J]. IEEE Transactions on Intelligent Transportation Systems, 2016, 17(8):2272-2281.
[9]	王锦涛, 皇甫一鸣, 李哲舟, 等.基于UWB测距技术的室内定位研究[J]. 通信电源技术, 2018, 35(5):50-53.
[10]	符世琛, 李一鸣, 杨健健, 等.基于超宽带技术的掘进机自主定位定向方法研究[J].煤炭学报, 2015, 40(11):2603-2610.
[11]	MONICA S, FERRARI G. UWB-based localization in large indoor scenarios: optimized placement of anchor nodes[J]. IEEE Transactions on Aerospace and Electronic Systems, 2015, 51(2):987-999.
[12]	GUO T, QIAO F, LIU M, et al. An improved Kalman filtering method for indoor location[C]// IEEE International Conference on Computer & Communications. IEEE, 2017.
[13]	XU Y, SHMALIY Y S, LI Y, et al. UWB-based indoor human localization with time-delayed data using EFIR filtering[J].IEEE Access, 2017, 5.TiX
[14]	莫树培,李国良.采用分段加权最小二乘法的井下人员实时定位系统设计[J].矿业安全与环保, 2019, 46(3):32-36.
[15]	曾玲, 彭程, 刘恒. 基于信号到达时间差的超宽带室内定位算法[J]. 计算机应用, 2018(1):135-139.

Cited By

Cited by

Periodical cited type(12)

1.	蔡安江，徐海涛，程东波，刘锋伟. 矿井多人员定位轨迹的预警分类方法研究. 金属矿山. 2025(01): 243-249 .
2.	李圣令，刘克中，陈聪，王一飞，王国宇，陈默子，郑凯. 一种复杂环境下UWB测距误差预测方法. 导航定位学报. 2024(01): 85-96 .
3.	黄鑫，张成炜，韦周旺，江灏. 基于UWB-PDOA的少基站自适应定位系统研究. 测控技术. 2024(05): 85-92 .
4.	高培，曹浪财，何栋炜. 基于Taylor-Chan算法的改进UWB室内三维定位方法. 厦门大学学报(自然科学版). 2024(04): 679-686 .
5.	温贤培. 煤矿现场人员二维精确定位方法. 煤矿安全. 2023(01): 225-229 .
6.	卫立刚，毕建乙. 掘进面超带宽测距精度模拟试验研究. 江西煤炭科技. 2023(03): 214-216 .
7.	樊荣，郭江涛，王飞. 基于UWB技术的健康定位手表设计与实现. 矿业安全与环保. 2023(05): 19-23 . 本站查看
8.	李英明，任升莲，陈义华，刘建敏，张妍，李加好. 基于无线数据的高精度超宽带定位方法综述. 测控技术. 2022(07): 1-9 .
9.	曹波，王世博，鲁程. 基于UWB系统的采煤工作面端头采煤机自主定位方法研究. 仪器仪表学报. 2022(10): 108-117 .
10.	常琳. 煤矿井下无线定位技术及系统的应用现状和发展方向. 煤矿安全. 2021(07): 94-98 .
11.	唐丽均，吴畏，刘世森. 基于灰色预测模型的井下精确人员定位方法. 工矿自动化. 2021(08): 128-132 .
12.	蔡俊杰，李希建，代芳瑞，汪圣伟，胡贝. 基于熵权-属性数学的煤与瓦斯突出危险性预测. 矿业研究与开发. 2021(09): 103-107 .

Other cited types(2)

Get Citation

PDF

XML

Article views (46) PDF downloads (8) Cited by(14)

Turn off MathJax

Article Contents

Abstract

References

Design of precise 3D positioning system for mine roadway based on UWB

Abstract

References

Cited by

Periodical cited type(12)

Other cited types(2)

Catalog

Export File

Citation

Format

Content