|本期目录/Table of Contents|

[1]孟祥忠,侯力扬,蔡佩征,等.煤矿井下水仓智能清淤机器人的研发与应用[J].工业仪表与自动化装置,2021,(02):77-80+100.[doi:10.19950/j.cnki.cn61-1121/th.2021.02.017]
　MENG Xiangzhong,HOU Liyang,CAI Peizheng,et al.Development and application of intelligent dredging robot for coal mine sump[J].Industrial Instrumentation & Automation,2021,(02):77-80+100.[doi:10.19950/j.cnki.cn61-1121/th.2021.02.017]
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煤矿井下水仓智能清淤机器人的研发与应用

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2021年02期
页码:
77-80+100
栏目:
出版日期:
2021-04-15

文章信息/Info

Title:
Development and application of intelligent dredging robot for coal mine sump
作者:
孟祥忠1; 侯力扬1; 蔡佩征1; 薛天格1; 刘文峰2; 张春海2
1.青岛科技大学 自动化与电子工程学院，山东 青岛 266100；
2.内蒙古黄陶勒盖煤炭有限责任公司—巴彦高勒煤矿，内蒙古 鄂尔多斯 017212
Author(s):
MENG Xiangzhong1; HOU Liyang1; CAI Peizheng1; XUE Tiange1; LIU Wenfeng2; ZHANG Chunhai2
1. College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Shandong Qingdao 266100, China；
2. Inner Mongolia Huangtao Legai Coal Co., Ltd.—Bayan Guller Coal Mine, Erdos, Inner Mongolia 017212 ,China
关键词:
井下水仓; 机器人; 远程遥控; 视觉采集; 智能监测
Keywords:
shaft sump;  robot;  remote control;  visual acquisition;  intelligent detection
分类号:
TH6
DOI:
10.19950/j.cnki.cn61-1121/th.2021.02.017
文献标志码:
A
摘要:
井下水仓环境及工作条件恶劣，淤积物中含水量大，难以彻底清理。传统的水仓煤泥清理技术存在着较多的突出问题：工人工作环境危险性大；设备繁多、故障发生率高；无法实现对水仓积淤的实时监控、预警，为解决这一技术难题以及需求，结合互联网+、物联网、机器人控制技术、图像识别和传感器融合等机器人相关学科的先进理论与技术，研制出集远程遥控模块、视觉采集模块、智能监测模块等为一体的水仓智能清淤机器人。提高了清淤效率和煤矿智能化水平，实现井下无人或少人的清淤作业，保障了煤矿安全生产运行。
Abstract:
The environment and working conditions of the underground water silo are poor, and the water content in the silt is large, which is difficult to clean thoroughly. There are many outstanding problems in the traditional coal bunker sludge cleaning technology: the working environment of workers is dangerous; the equipment is numerous, the fault rate is high; cannot realize the real-time monitoring and early warning of not be realized. In order to solve this technical problem and demand, combined with the advanced theory and technology of robot related disciplines such as Internet plus, Internet of things, robot control technology, image recognition and sensor fusion, an intelligent silt cleaning robot with remote control module, visual acquisition module and intelligent monitoring module is developed. It improves the efficiency of desilting and the level of coal mine intelligence, realizes the desilting operation of no one or less people underground, and ensures the safe production operation of coal mine.

参考文献/References:

[1] 地面远程遥控井下电机车运输系统研发与应用[J].中国冶金,2017,27(07):83.

[2] 毛平淮,叶琦,边永梅.基于煤矿安全的水仓轻型淤煤装载机的设计[J].煤炭科学技术,2007(08):18-21.
[3] 王亮. 无缆式清淤机器人行走机构动力学研究[D]. 天津:天津大学,2016.
[4] 吉孟兰,何俊强.一种矿用挖掘机PLC与上位机通信软件的设计[J].山西冶金,2018,41(05):22-24.
[5] 张永建,刘少荷,王维.基于MCGS的矿用主通风机在线监测与控制系统[J].机械设计与制造,2009(10):129-131.
[6] 霍骥川.基于工业以太网的煤矿综合自动化系统[J].煤炭与化工,2018,41(07):75-76+79.
[7] 王强.煤矿斜井巷道运输视频监控系统设计与研究[J].煤矿现代化,2019(06):113-115.
[8] 张翼鹏. 工业数据采集APP开发框架的设计与实现[D]. 马鞍山:安徽工业大学,2019.
[9]XIANG Tao, LI Xiaoguo, CHEN Fei. Processing secure, verifiable and efficient SQL over outsourced database[J]. Information Sciences,2016,348:163-178.
[10]JAEHOON (Paul) Jeong, TAE (Tom) Oh. Survey on protocols and applications for vehicular sensor networks[J]. International Journal of Distributed Sensor Networks, 2016, 12(8):4994-5001.
[11] RODRIGO R de Oliveira, CLAUDIO Avila, RICHARD Bourne, et al. Data fusion strategies to combine sensor and multivariate model outputs for multivariate statistical process control [J]. Analytical and bioanalytical chemistry,2020,412(9):2151-2163.

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备注/Memo

备注/Memo:
收稿日期：2020-05-07

作者简介：
孟祥忠(1967)，男，博士，教授，研究方向为智能控制理论及应用、电力系统监测与保护技术。
更新日期/Last Update: 1900-01-01