Design of gas leak source localization robot based on wireless senor networks

CHENG Lei; ZHANG Dong; LIU Bo; WU Huai-yu; WANG Yong-ji

doi:10.13873/J.1000-9787(2015)02-0085-03

Chinese

您当前的位置：

首页 >

文章列表页 >

Design of gas leak source localization robot based on wireless senor networks

更新时间：2025-09-11

- Design of gas leak source localization robot based on wireless senor networks
- Vol. 34, Issue 2, Pages: 85-87+91(2015)
- 作者机构：
  
  1. 武汉科技大学冶金自动化与检测技术教育部工程研究中心
  2. 华中科技大学自动化学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2015)02-0085-03
  CLC： TN929.5;TP242;TP212.9
- Published：2015
- 稿件说明：
移动端阅览
[1]程磊,张东,刘波,吴怀宇,王永骥.基于无线传感器网络的气体泄漏源定位机器人设计[J].传感器与微系统,2015,34(02):85-87+91.

CHENG Lei, ZHANG Dong, LIU Bo, et al. Design of gas leak source localization robot based on wireless senor networks[J]. 2015, 34(2): 85-87+91.
[1]程磊,张东,刘波,吴怀宇,王永骥.基于无线传感器网络的气体泄漏源定位机器人设计[J].传感器与微系统,2015,34(02):85-87+91. DOI： 10.13873/J.1000-9787(2015)02-0085-03.

CHENG Lei, ZHANG Dong, LIU Bo, et al. Design of gas leak source localization robot based on wireless senor networks[J]. 2015, 34(2): 85-87+91. DOI： 10.13873/J.1000-9787(2015)02-0085-03.

摘要

如何确定有害气体泄漏源的位置是机器人主动嗅觉要解决的关键问题。围绕移动机器人气体泄漏源定位问题

将Z字形算法和浓度梯度法相结合用于机器人气味源搜索运动控制

使其快速找到气味源。同时

在传统的移动嗅觉机器人上增加了无线传感器定位模块

使操作人员在远离泄漏源的电脑上即可获得气味源的坐标信息。实验证明:机器人可以找到泄漏源

并确定气味源位置

搜索效率比单独使用浓度梯度法高。

Abstract

How to determine location of toxic / hazardous gas leak source is the key issue for robot active olfaction technology to solve. Focus on mobile robot localization problem of gas leakage

combine Z-shaped algorithm with concentration gradient algorithm for robot motion control of odor source search

which make it quickly locate odor source. Meanwhile on the basis of traditional mobile olfaction smell robot

add wireless sensor positioning module

which allow operator can get coordinate information of odor source on the computer away from leak source.Experiments show that the robot can find source of leak and determine location of odor source

the search efficiency is higner than that of concentration gradient method alone.

关键词

Keywords

references

室内通风环境下基于模拟退火算法的单机器人气味源定位 [J]. 王阳,孟庆浩,李腾,曾明. 机器人 . 2013(03)

主动嗅觉轮式移动机器人的系统设计及定位方法研究 [J]. 贺宁,杨建华,陈立伟,曹晓欢. 机械科学与技术 . 2013(02)

一种机器人仿生气味源定位策略 [J]. 路光达,张明路. 河北工业大学学报 . 2010(05)

时变流场环境中机器人跟踪气味烟羽方法 [J]. 李吉功,孟庆浩,李飞,蒋萍,曾明. 自动化学报 . 2009(10)

主动嗅觉研究现状 [J]. 孟庆浩,李飞. 机器人 . 2006(01)

基于强化学习的多机器人气味源搜索 [D]. 闫慈. 天津大学 2012

Views

407

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Application research of RFID and WSNs technology in robotics cooperative localization

Research on multi-zone omnidirectional obstacle avoidance of robots based on bionic vision

LEACH extremum double cluster head clustering method based on CS algorithm

Robot path planning with improved variable-step ant colony algorithm in unknown environment

Path planning for mobile robots based on improved ant colony algorithm

Related Author

PAN Zheng-rong

YANG Wei-man

ZHU Xiang

ZHANG Ning

DUAN Wanni

LEI Bin

JIANG Lin

WU Hui

Related Institution

School of Electrical and Information Engineering,Lanzhou University of Technology

College of Machinery and Automation，Wuhan University of Science and Technology

Institute of Robotics and Intelligent Systems，Wuhan University of Science and Technology

School of Communication Engineering,Hangzhou Dianzi University

Department of Electrical and Automotive Engineering, Guangzhou University Sontian College

⁰