The Key Techniques of Mine Personnel Localization System Based on Wireless Sensor Network

CHENG Wen-bo; WANG Hua-jun

Chinese

您当前的位置：

首页 >

文章列表页 >

The Key Techniques of Mine Personnel Localization System Based on Wireless Sensor Network

更新时间：2026-09-04

- The Key Techniques of Mine Personnel Localization System Based on Wireless Sensor Network
- Vol. 29, Issue 4, Pages: 165-168(2012)
- 作者机构：
  
  1. 1 宜宾学院机构物理与电子工程学院,四川,宜宾,644000
  2. 2 成都理工大学机构地球探测与信息技术教育部重点实验室,四川,成都,610059
  3. 3 宜宾机械电子工程技术研究中心,四川,宜宾,644000
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2012
- 稿件说明：
移动端阅览
程文波, 王华军. 井下人员无线定位关键技术研究[J]. 微电子学与计算机, 2012, 29(4): 165-168.

CHENG Wen-bo, WANG Hua-jun. The Key Techniques of Mine Personnel Localization System Based on Wireless Sensor Network[J]. 2012, 29(4): 165-168.
程文波, 王华军. 井下人员无线定位关键技术研究[J]. 微电子学与计算机, 2012, 29(4): 165-168. DOI：

CHENG Wen-bo, WANG Hua-jun. The Key Techniques of Mine Personnel Localization System Based on Wireless Sensor Network[J]. 2012, 29(4): 165-168. DOI：

摘要

针对现有井下人员定位系统亟待解决的功耗、漏检率和定位精度等技术问题

从探讨基于ZigBee通信技术的无线传感器网络体系架构出发

对人员无线定位系统中的传感器终端设计、定位机制及无线网拓扑等关键技术进行了较为深入的研究

给出了传感器节点设计、定位算法以及无线组网等工程实现过程

及各单元模块所采用的技术优化或改进策略

改善了现有系统的综合性能.

Abstract

In view of the technical problems about power dissipation

miss rate and localization accuracy of existing mine personnel localization system

starting from the system architecture of wireless sensor network based on ZigBee communication technology

the key techniques of sensor terminal design

localization mechanism and wireless network topology were in-depth researched.In this paper

engineering realization of the sensor node design

localization algorithm and wireless networking technology were given

optimization of technology or improvement of strategies was proposed in each unit module.They can improve the comprehensive performance of the existing wireless sensor localization system.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on assembly action recognition based on MSS-YOLO-MPHands fusion architecture

Aerial small object detection algorithm based on improved RT-DETR

Simulation on the DC characteristics of double heterojunction p-GaN HEMT with AlN/GaN hybrid buffer layer

Aerial vehicle detection algorithm based on multi-scale fusion and small-object enhancement

Implementation and verification of a dual-chain power gating strategy for low power design

Related Author

No data

Related Institution

No data

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰