|本期目录/Table of Contents|

[1]楼向东,姜宪宪,陈德伟,等.铁路无人道口智能安防机器人的研发与应用[J].工业仪表与自动化装置,2022,(04):60-63+104.[doi:10.19950/j.cnki.cn61-1121/th.2022.04.012]
 LOU Xiangdong,JIANG Xianxian,CHEN Dewei,et al.Development and application of intelligent security robot for railway unmanned crossing[J].Industrial Instrumentation & Automation,2022,(04):60-63+104.[doi:10.19950/j.cnki.cn61-1121/th.2022.04.012]
点击复制

铁路无人道口智能安防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:
2022年04期
页码:
60-63+104
栏目:
出版日期:
2022-08-15

文章信息/Info

Title:
Development and application of intelligent security robot for railway unmanned crossing
文章编号:
1000-0682(2022)04-0000-00
作者:
楼向东1姜宪宪1陈德伟2祝石林2孟祥忠2
1.兖矿能源股份有限公司铁路运输处,山东 邹城 273500;
2.青岛科技大学 自动化与电子工程学院,山东 青岛 266100
Author(s):
LOU Xiangdong1JIANG Xianxian1CHEN Dewei2ZHU Shilin2MENG Xiangzhong2
Railway Transportation Office of Yankuang Group Energy Co. , Ltd. , Shandong, Zoucheng 273500;China; 2. College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Shandong Qingdao 266100 China
关键词:
无人看守道口智能安防机器人目标检测风光互补发电远程监控
Keywords:
the crossing is unguardedintelligent security robottarget detectionwind-solar power generationremote monitoring
分类号:
TP24
DOI:
10.19950/j.cnki.cn61-1121/th.2022.04.012
文献标志码:
A
摘要:
矿区铁路无人看守道口数量众多,加之矿区铁路运营线路属于开放式环境,无人看守道口过往车辆、行人较多,部分无人看守道口受制于周边环境、曲线线路等瞭望条件不良,易造成行驶中的机车与社会车辆、行人发生冲突,为解决这一技术难题,结合物联网、目标检测、多传感器融合、风光互补发电等机器人相关学科的先进理论和技术,研发出集智能识别模块、智能监测模块、远程监控模块为一体的矿区铁路无人看守道口智能安防机器人,实现无人看守道口虚拟有人监护提高了矿区铁路技术装备智能化水平,保障道口过往行人的生命财产及矿区运输安全。
Abstract:
There are a large number of unguarded crossings on the railway in the mining area. In addition, the operating routes of the railway in the mining area are in an open environment. There are more passing vehicles and pedestrians at the unguarded crossings, in order to solve this technical problem, some unguarded crossings are subject to poor lookout conditions such as the surrounding environment and curved lines, which easily lead to conflicts between running locomotives and social vehicles and pedestrians, combining advanced theories and technologies in robotics related disciplines such as Internet of things, target detection, multi-sensor fusion, wind-solar Hybrid Power Generation, it has developed an intelligent security robot which integrates the intelligent recognition module, the intelligent monitoring module and the remote monitoring module, the realization of the unmanned crossing with virtual supervision has improved the intelligence level of railway technology and equipment in mining area, and guaranteed the life and property of pedestrians passing through the crossing and the safety of transportation in mining area.

参考文献/References:

[1]曹连雨.基于深度卷积神经网络的遥感影像目标检测技术研究及应用[D].北京:北京科技大学学报, 2022,4(09):11-17.

[2] 谢心怡,黄豪彩,贺自力,等.水下智能安防机器人的系统设计及应用[J]. 数字海洋与水下攻防,2020,3(03):21-29.
[3] 过怡,张振,张棋.基于STM32的多路传感器数据采集系统设计[J].电子制作, 2022,25(06):2-6.
[4] 陈松利,闫彩霞,李明,等.中小功率分布式风光互补发电系统的匹配研究[J].现代电子技术,2021,44(15):94-98.
[5] 周利杰,郝瑞林,蔡国庆,等.多特征检测人形识别安防摄像机设计[J].河北水利电力学院学报,2021,31(04):66-71+78.
[6] 陈世权,王从庆,周勇军.一种基于YOLOv5s和图像融合的行人检测方法[J/OL].电光与控制,2022,8(04):21-45.
[7] 石彩霞,蒋玉虎.地铁车辆蓄电池在线监测系统设计[J]. 电力机车与城轨车辆,2021,44(06):120-123.?/div>
[8] 张亚丽.基于风光互补联合发电系统的研究[J]. 电工技术,2021(21):77-78+82.
[9] 孙国秀,蒋涛春,田雨欣,等.基于PID调节的水风光互补发电系统特性分析[J].今日制造与升级,2021(05):48-51.
[10] 宋雪,董梁.智能化视频云运行监控中心研究[J].警察技术,2021(03):58-60.
[11] 李金宝,姜珍华,刘云楷,等.关于智能安防机器人自动充电控制方法的研究[J].工业仪表与自动化装置,2019,(02):85-88.
[12] 李波,覃惠玲,吴玥,等.风光互补发电并网系统优化设计研究[J].电子设计工程,2019(24):70-74.

相似文献/References:

备注/Memo

备注/Memo:
收稿日期:2022-04-07
作者简介:楼向东(1970),男,大学,工学学士、高级工程师。
更新日期/Last Update: 1900-01-01