煤矿灾后环境下机器人能耗模型研究

方海峰, 张礼华, 李允旺, 蔡李花

方海峰,张礼华,李允旺,等.煤矿灾后环境下机器人能耗模型研究[J].工矿自动化,2015,41(2):21-25.. DOI: 10.13272/j.issn.1671-251x.2015.02.006
引用本文: 方海峰,张礼华,李允旺,等.煤矿灾后环境下机器人能耗模型研究[J].工矿自动化,2015,41(2):21-25.. DOI: 10.13272/j.issn.1671-251x.2015.02.006
FANG Haifeng, ZHANG Lihua, LI Yunwang, CAI Lihua. Research of energy consumption model of robot in coal mine post-disaster environment[J]. Journal of Mine Automation, 2015, 41(2): 21-25. DOI: 10.13272/j.issn.1671-251x.2015.02.006
Citation: FANG Haifeng, ZHANG Lihua, LI Yunwang, CAI Lihua. Research of energy consumption model of robot in coal mine post-disaster environment[J]. Journal of Mine Automation, 2015, 41(2): 21-25. DOI: 10.13272/j.issn.1671-251x.2015.02.006

煤矿灾后环境下机器人能耗模型研究

基金项目: 

国家自然科学基金资助项目(51205391)

江苏省高校自然科学研究项目(14KJD440001)

江苏科技大学青年科研基金资助项目(635271205)

详细信息
  • 中图分类号: TD67/77

Research of energy consumption model of robot in coal mine post-disaster environment

  • 摘要: 针对缺乏煤矿救灾机器人能耗模型及能耗效率影响因素研究成果的现状,分析了煤矿灾后环境下机器人的行走阻力,建立了机器人能耗模型,并以某型号救灾机器人样机为例对机器人能耗模型进行了验证,求取了机器人续航能力与路面状态、电池输出电流等因素之间的关系,得出结论:机器人在加速和转向时消耗的能量较大;在煤泥路面上行走时需要消耗更多的能量,约为在混泥土路面上的2倍。
    Abstract: For status that there was no research about energy consumption model of disaster rescuing robot in coal mine as well as influence factors on energy consumption efficiency, walking resistance of robot in coal mine post-disaster environment was analyzed and an energy consumption model of the robot was established, which was verified by a disaster rescuing robot prototype. Relationship among factors, such as endurance of the robot, road conditions, current and so on, was analyzed and solved. It was found that the robot would consume more energy while accelerating and turning, and energy consumed while walking on coal road was almost 2 times more than the one consumed while walking on concrete road.
  • 期刊类型引用(6)

    1. 桂方燚,田立勤,杜雨荃. 基于PSO-SURF算法的井下图像拼接. 电脑知识与技术. 2023(12): 4-8+12 . 百度学术
    2. 杨春雨,张鑫. 煤矿机器人环境感知与路径规划关键技术. 煤炭学报. 2022(07): 2844-2872 . 百度学术
    3. 王红尧,吴佳奇,林松,王梦雅,赵国瑞. 矿井多视角图像拼接方法研究. 工矿自动化. 2021(10): 27-31+48 . 本站查看
    4. 荣耀,安晓宇. 智能化开采中视频信息的应用现状及展望. 煤炭科学技术. 2021(S1): 119-123 . 百度学术
    5. 朱代先,吴栋,刘树林,刘凌志. AKAZE结合自适应局部仿射匹配的视差图像特征匹配算法. 应用光学. 2021(06): 1048-1055 . 百度学术
    6. 陈立伟,宋涛羽. 基于语义分割的图像拼接实验设计. 实验技术与管理. 2021(12): 48-51+56 . 百度学术

    其他类型引用(0)

计量
  • 文章访问数:  93
  • HTML全文浏览量:  13
  • PDF下载量:  12
  • 被引次数: 6
出版历程
  • 刊出日期:  2015-02-09

目录

    /

    返回文章
    返回