关于三机感知系统和信息融合技术的研究,用于智能的工作面
Haotian Feng1,2, Xinqiu Fang1,2, Ningning Chen1,2
1School of Mines, China University of Mining and Technology, Xuzhou 221116, China.
Sensors (Basel, Switzerland)
|September 28, 2023
概括
本研究介绍了采矿设备的智能感知系统,集成了剪刀,输送机和支器的数据. 这通过将传感器数据融合为统一的设备状态来增强协作控制.
科学领域:
- 采矿工程 采矿工程 采矿工程
- 机器人和自动化机器人与自动化
- 传感器技术 传感器技术
背景情况:
- 采矿设备的智能协作控制 (剪刀,刀输送机,液压支) 需要精确的状态感知和信息集成.
- 现有系统遭受数据隔离,缺乏信息流动,由于缺乏感知数据融合,缺乏合作力.
- 解决这些挑战对于推进煤炭开采业务的自动化至关重要.
研究的目的:
- 为智能工作面设备状态感知系统提出一种新的融合方法.
- 克服信息隔离的局限性,改善采矿机械之间的合作控制.
- 建立一个统一的系统来描述和整合多种采矿设备的状态.
主要方法:
- 开发了一个智能感知系统,利用光纤传感技术和惯性导航技术为三个关键机器.
- 在工作面上建立了一个数据坐标系统,用于统一的状态描述.
- 定义的空间位置关系,使用刀输送机作为中央参考来创建一个协作系统.
主要成果:
- 成功创建了一个智能感知系统,用于三台机器 (剪刀,刀输送机,液压支).
- 通过室内测试证明了数据融合能力和设备状态的统一表达.
- 验证了三台机器空间位置的关系模型.
结论:
- 拟议的感知系统有效地整合了监测数据,并统一了设备状态表达.
- 这种方法可以加强采矿设备之间的协作控制和信息流.
- 为开发煤矿中智能感知,决策和自动执行系统提供了基础参考.
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