• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种用于远程感知煤矿井下环境的搜索救援机器人系统。

A Search-and-Rescue Robot System for Remotely Sensing the Underground Coal Mine Environment.

作者信息

Zhao Jingchao, Gao Junyao, Zhao Fangzhou, Liu Yi

机构信息

Intelligent Robotics Institute, School of Mechatronical Engineering, Beijing Institute of Technology, 5 Nandajie, Zhongguancun, Haidian, Beijing 100081, China.

Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing 100081, China.

出版信息

Sensors (Basel). 2017 Oct 23;17(10):2426. doi: 10.3390/s17102426.

DOI:10.3390/s17102426
PMID:29065560
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5677175/
Abstract

This paper introduces a search-and-rescue robot system used for remote sensing of the underground coal mine environment, which is composed of an operating control unit and two mobile robots with explosion-proof and waterproof function. This robot system is designed to observe and collect information of the coal mine environment through remote control. Thus, this system can be regarded as a multifunction sensor, which realizes remote sensing. When the robot system detects danger, it will send out signals to warn rescuers to keep away. The robot consists of two gas sensors, two cameras, a two-way audio, a 1 km-long fiber-optic cable for communication and a mechanical explosion-proof manipulator. Especially, the manipulator is a novel explosion-proof manipulator for cleaning obstacles, which has 3-degree-of-freedom, but is driven by two motors. Furthermore, the two robots can communicate in series for 2 km with the operating control unit. The development of the robot system may provide a reference for developing future search-and-rescue systems.

摘要

本文介绍了一种用于地下煤矿环境遥感的搜索救援机器人系统,该系统由一个操作控制单元和两个具有防爆防水功能的移动机器人组成。该机器人系统旨在通过遥控观察和收集煤矿环境信息。因此,该系统可被视为一个实现遥感的多功能传感器。当机器人系统检测到危险时,它会发出信号警告救援人员远离。该机器人由两个气体传感器、两个摄像头、一个双向音频、一根1公里长的用于通信的光纤电缆和一个机械防爆机械手组成。特别地,该机械手是一种用于清理障碍物的新型防爆机械手,具有3个自由度,但由两个电机驱动。此外,这两个机器人可以与操作控制单元进行2公里的串联通信。该机器人系统的开发可为未来搜索救援系统的开发提供参考。

相似文献

1
A Search-and-Rescue Robot System for Remotely Sensing the Underground Coal Mine Environment.一种用于远程感知煤矿井下环境的搜索救援机器人系统。
Sensors (Basel). 2017 Oct 23;17(10):2426. doi: 10.3390/s17102426.
2
Application of Intelligent Inspection Robot in Coal Mine Industrial Heritage Landscape: Taking Wangshiwa Coal Mine as an Example.智能巡检机器人在煤矿工业遗产景观中的应用——以王石凹煤矿为例
Front Neurorobot. 2022 Jun 23;16:865146. doi: 10.3389/fnbot.2022.865146. eCollection 2022.
3
Lightweight monitoring and control system for coal mine safety using REST style.采用REST风格的煤矿安全轻量级监测与控制系统。
ISA Trans. 2015 Jan;54:229-39. doi: 10.1016/j.isatra.2014.07.004. Epub 2014 Aug 8.
4
A Multiobjective Hybrid Optimization Algorithm for Path Planning of Coal Mine Patrol Robot.煤矿巡检机器人路径规划的多目标混合优化算法
Comput Intell Neurosci. 2022 Jun 23;2022:9094572. doi: 10.1155/2022/9094572. eCollection 2022.
5
The Synthetic Moth: A Neuromorphic Approach toward Artificial Olfaction in Robots合成蛾:一种用于机器人人工嗅觉的神经形态方法
6
A New Disaster Information Sensing Mode: Using Multi-Robot System with Air Dispersal Mode.一种新的灾难信息感知模式:使用具有空气散布模式的多机器人系统。
Sensors (Basel). 2018 Oct 22;18(10):3589. doi: 10.3390/s18103589.
7
A Review of Mine Rescue Ensembles for Underground Coal Mining in the United States.美国地下煤矿救援装备综述
J Eng Fiber Fabr. 2014;9(1):174-185.
8
Smart Sensing and Adaptive Reasoning for Enabling Industrial Robots with Interactive Human-Robot Capabilities in Dynamic Environments-A Case Study.智能感知与自适应推理赋能工业机器人在动态环境中具备人机交互能力:案例研究
Sensors (Basel). 2019 Mar 18;19(6):1354. doi: 10.3390/s19061354.
9
A Coupled Visual and Inertial Measurement Units Method for Locating and Mapping in Coal Mine Tunnel.一种用于煤矿隧道定位和制图的视觉与惯性测量单元耦合方法。
Sensors (Basel). 2022 Sep 30;22(19):7437. doi: 10.3390/s22197437.
10
Development of a Scalable Testbed for Mobile Olfaction Verification.用于移动嗅觉验证的可扩展测试平台的开发。
Sensors (Basel). 2015 Dec 9;15(12):30894-912. doi: 10.3390/s151229834.

引用本文的文献

1
Autonomous Mobile Inspection Robots in Deep Underground Mining-The Current State of the Art and Future Perspectives.深部地下采矿中的自主移动检测机器人——现状与未来展望
Sensors (Basel). 2025 Jun 7;25(12):3598. doi: 10.3390/s25123598.
2
A Bagworm-Inspired Robot That Acquires Its Exterior from External Environments.一种受蓑蛾启发、能从外部环境获取外壳的机器人。
Biomimetics (Basel). 2025 Apr 20;10(4):252. doi: 10.3390/biomimetics10040252.
3
Research on Downhole MTATBOT Positioning and Autonomous Driving Strategies Based on Odometer-Assisted Inertial Measurement.

本文引用的文献

1
Vehicle autonomous localization in local area of coal mine tunnel based on vision sensors and ultrasonic sensors.基于视觉传感器和超声波传感器的煤矿巷道局部区域车辆自主定位
PLoS One. 2017 Jan 31;12(1):e0171012. doi: 10.1371/journal.pone.0171012. eCollection 2017.
2
Edge detection based on Retinex theory and wavelet multiscale product for mine images.基于Retinex理论和小波多尺度乘积的矿井图像边缘检测
Appl Opt. 2016 Dec 1;55(34):9625-9637. doi: 10.1364/AO.55.009625.
基于里程计辅助惯性测量的井下MTATBOT定位与自动驾驶策略研究
Sensors (Basel). 2024 Dec 12;24(24):7935. doi: 10.3390/s24247935.
4
Robotics Perception and Control: Key Technologies and Applications.机器人感知与控制:关键技术与应用
Micromachines (Basel). 2024 Apr 15;15(4):531. doi: 10.3390/mi15040531.
5
Granular estimation of user cognitive workload using multi-modal physiological sensors.使用多模态生理传感器对用户认知工作量进行粒度估计。
Front Neuroergon. 2024 Feb 27;5:1292627. doi: 10.3389/fnrgo.2024.1292627. eCollection 2024.
6
Influence of periodic pulse intake on the ventilation efficiency of positive pressure explosion-proof robot.周期性脉冲进气对正压防爆机器人通风效率的影响
Sci Rep. 2024 Jan 16;14(1):1433. doi: 10.1038/s41598-024-52011-9.
7
RUDE-AL: Roped UGV Deployment Algorithm of an MCDPR for Sinkhole Exploration.RUDE-AL:用于塌陷坑探测的多缆绳式无人地面车辆部署算法的MCDPR
Sensors (Basel). 2023 Jul 18;23(14):6487. doi: 10.3390/s23146487.
8
Path Planning for Unmanned Delivery Robots Based on EWB-GWO Algorithm.基于 EWB-GWO 算法的无人配送机器人路径规划。
Sensors (Basel). 2023 Feb 7;23(4):1867. doi: 10.3390/s23041867.
9
Experimental Evaluation of Sensor Fusion of Low-Cost UWB and IMU for Localization under Indoor Dynamic Testing Conditions.室内动态测试条件下低成本超宽带(UWB)与惯性测量单元(IMU)传感器融合定位的实验评估
Sensors (Basel). 2022 Oct 25;22(21):8156. doi: 10.3390/s22218156.
10
Obstacle Avoidance of Multi-Sensor Intelligent Robot Based on Road Sign Detection.基于路标检测的多传感器智能机器人避障。
Sensors (Basel). 2021 Oct 12;21(20):6777. doi: 10.3390/s21206777.