综采工作面巡检机器人设计及应用

doi:10.11799/ce202411032

Abstract

Abstract: The use of inspection robots instead of manual inspection is an important means to achieve intelligent mining in the visualization remote intervention mode of fully mechanized working face. Based on the systematic analysis of the research status of inspection robots in fully mechanized working face, difficulties such as adaptive working face of inspection robots and environmental perception and positioning with multi-sensor fusion are proposed. By designing an inspection robot system suitable for fully mechanized mining face, Solved the problem of adaptive comprehensive mining face for inspection robots, and achieved functions such as video image acquisition, drum tracking, and rapid inspection of the working face environment. After on-site verification, the main engine of the inspection robot has a endurance time of ≥ 3.5h, a endurance mileage of ≥ 4.5Km, a positioning accuracy of ≤ 0.1m, and a maximum inspection speed of 0.35m/s, providing a complete and reliable solution for truly realizing the replacement inspection of inspection robots.

CLC Number:

TD67

References

[1]张良,李首滨,黄曾华,等.煤矿综采工作面无人化开采的内涵与实现[J].煤炭科学技术,2014,42(9):26-29,51.
ZHANG Liang,LI Shou-bin,HUANG Zeng-hua,et al.Definition and Realization of Unmanned Mining in Fully-Mechanized Coal Mining Face[J].Coal Science and Technology,2014,42(9):26-29，51.
[2]王国法,范京道,徐亚军,等.煤炭智能化开采关键技术创新进展与展望[J].工矿自动化,2018,44(2):5-12．
WANG Guofa,FAN Jingdao,XU Yajun,et a1.Innovation progress and prospect on key technologies of intelligent coal mining[J].Industry and Mine Automation,2018,44(2)：5-12.
[3]范京道,王国法,张金虎,等.黄陵智能化无人工作面开采系统集成设计与实践[J].煤炭工程,2016,48(1):84-87.
[4]李森,王峰,刘帅,等.综采工作面巡检机器人关键技术研究[J].煤炭科学技术,2020,48(7):218-225.doi:10.13199/j.cnki. cst.2020.07.022.
LI Sen,WANG Feng,LIU Shuai,et al.Study on key technology of patrol robots for fully－mechanized mining face[J].Coal Science and Technology,2020,48(7):218-225.doi:10.13199/j.cnki.cst.2020.07.022.
[5]葛世荣,胡而已,裴文良.煤矿机器人体系及关键技术[J].煤炭学报,2020,45(1):455-463. doi:10.13225/j.cnki.jecs.YG19.1478.
GE Shirong,HU Eryi,PEI Wenliang.Classification system and key technology of coal mine robot[J].Journal of China Coal Society,2020,45(1):455-463.doi:10.13225/j.cnki.jecs.YG19.1478.
[6]王国法,赵国瑞,任怀伟.智慧煤矿与智能化开采关键核心技术分析[J].煤炭学报,2019,44(1):34-41. doi:10.13225/j.cnki.jecs.2018.5034.
WANG Guofa,ZHAO Guorui,REN Huaiwei.Analysis on key technologies of intelligent coal mine and intelligent min-ing[J].Journal of China Coal Society,2019,44(1):34-41.doi:10.13225/j.cnki.jecs.2018.5034.
[7]张树生,马静雅,岑强,等.煤矿综采工作面巡检机器人系统研究[J].煤炭科学技术,2019,47(10):136-140.doi:10. 13199/j.enki.est.2019.10.017.
ZHANG Shusheng,MA Jingya,CEN Qiang,et al.Research on inspection robot system for fully-mechanized mining face in coal mine[J].Coal Science and Technology,2019,47(10):136-140.doi:10.13199/j.enki.est.2019.10.017.
[8]商德勇,范迅,赵建伟.薄煤层工作面巡检机器人行走机构设计及越障分析[J].矿业科学学报,2016,1(1):067-073.
Shang Deyong,Fan xun,Zhao Jianwei.Walking mechanism design and analysis on obstacle crossing for inspection robot in thin coal seam face[J].Journal of Mining Science and Technology,2016,1(1):067～073.
[9]赵建伟,杨壘,商德勇,等.薄煤层工作面巡检机器人越障动力学建模与分析[J].制造业自动化,2015,37(15):7-9.
[10]杨壘,商德勇,杨泽宇,等.薄煤层综采工作面巡检机器人摆臂动力学分析[J]. 煤矿机械,2015,36(11):120-122.
[11]商德勇,范迅,赵建伟. 薄煤层工作面巡检机器人搭载平台应力与模态分析[J]. 煤炭技术,2015,34(05):280-283.
[12]商德勇,崔栓伟,周丹,等.薄煤层巡检机器人行走机构跨沟性能分析及试验研究[J].煤炭工程,2017,49(04):136-138.
[13]商德勇,杨壘,杜少庆,等.薄煤层工作面巡检机器人越障前动力学分析[J].机械设计与制造,2018,49(01):261-263.
[14]高士岗,高登彦,欧阳一博,等.中薄煤层智能开采技术及其装备[J].煤炭学报,2020,45(6):1997-2007.doi:10.13225/j.cnki.jccs.ZN20.0246.
GA0 Shigang,GAO Dengyan,0UYANG Yibo,et a1.Intelligent mining technology and its equipment for medium thickness thin seam[J].Journal of China Coal Society,2020,45(6):1997-2007.doi:lO.13225/j.cnki.jccs.ZN20.0246.
[15]张旭辉,周颖,杨文娟,等.位姿检测技术在煤矿井下工作面巡检机器人中的应用[J].传感器与微系统,2020,39(05):152-155+160.
[16]郑硕，任伟，吴方朋,等. 一种行走轨道连接组件及行走轨道：中国，CN219359515U [P],2023-07-18.
[17]任伟，李森，刘帅,等. 视频巡检机器人：中国，CN114043491B [P],2023-05-16.
[18]任伟，李森，刘帅,等. 巡检机器人的通用底盘结构：中国，CN114043490B [P],2023-12-26.
[19]任伟. 基于SLAM 和虚拟现实的综采工作面巡检系统[J].工矿自动化，2023，49（5）：59-65.
REN Wei.A fully mechanized working face inspection system based on SLAM and virtual reality[J].Journal of Mine Automation，2023，49（5）：59-65.
[20]索智文.煤矿综采工作面无人化开采技术研究[J].工矿自动化，2017，43（1）：22-26.
SUO Zhiwen.Study on unmanned mining technology of fully mechanized coal mining face[J].Industry and Mine Automation，2017，43（1）：22-26.
[21]张守祥,张学亮,张磊,等.综采巡检机器人关键技术研究[J].煤炭科学技术,2022,50(1):247-255.
ZHANG Shouxiang，ZHANG Xueliang，ZHANG Lei,et al.Research on key technology of patrol robot in fully-mech- anized mining face[J].Coal Science and Technology,2022,50(1):247-255.

Design and application of inspection robot for fully mechanized working face

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