煤矿信息物理融合系统架构及其感控节点研究

张梅, 牛士会, 李敬兆

张梅，牛士会，李敬兆.煤矿信息物理融合系统架构及其感控节点研究［J］.工矿自动化，2019,45（2）：30-34.. DOI: 10.13272/j.issn.1671-251x.2018090075
引用本文: 张梅，牛士会，李敬兆.煤矿信息物理融合系统架构及其感控节点研究［J］.工矿自动化，2019,45（2）：30-34.. DOI: 10.13272/j.issn.1671-251x.2018090075
shu
ZHANG Mei, NIU Shihui, LI Jingzhao. Research on architecture of coal mine cyber-physical system and its sensing and control node[J]. Journal of Mine Automation, 2019, 45(2): 30-34. DOI: 10.13272/j.issn.1671-251x.2018090075
Citation: ZHANG Mei, NIU Shihui, LI Jingzhao. Research on architecture of coal mine cyber-physical system and its sensing and control node[J]. Journal of Mine Automation, 2019, 45(2): 30-34. DOI: 10.13272/j.issn.1671-251x.2018090075
shu

煤矿信息物理融合系统架构及其感控节点研究

  • 安徽理工大学 电气与信息工程学院， 安徽 淮南232001

基金项目: 

国家自然科学基金资助项目（51874010）

安徽省学术和技术带头人学术科研活动资助项目（2015D046）

安徽省高等学校优秀拔尖人才资助项目（gxbjZD2016044）

详细信息

  • 中图分类号: TD67

Research on architecture of coal mine cyber-physical system and its sensing and control node

  • School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan 232001, China

摘要

    摘要
  • 摘要: 为解决煤矿安全生产各子系统间无法信息共享、协同控制的问题，提出了一种煤矿信息物理融合系统体系架构。该系统由感知执行层、网络传输层、认知处理层和应用控制层组成：感知执行层通过感控节点实现对“人、机、物、环”的泛在感知和控制；网络传输层通过主干网络和子网络相结合、有线网络和无线网络相结合的方式来实现信息可靠、有效传输；认知处理层由大量分布式计算设备组成，实现信息融合与分析、数据挖掘与大数据分析；应用控制层为用户提供沟通的操作界面，实现对煤矿各环节的集中监视和协同控制。针对煤矿信息物理融合系统中感控节点特性，采用BDI模型对感控节点进行建模：用信念、目标、规划来描述感控节点的自治状态、自治控制和自治行为；根据感知事件和信念库进行推理，生成若干目标并进行分配，再由当前的信念和规划库刷新规划，执行相应的行为并修正信念和目标。
    Abstract: In order to solve problem of failure to realize information sharing and coordinated control among subsystems of coal mine safety production, an architecture of coal mine cyber-physical system was proposed, which was composed of perceptual execution layer, network transmission layer, cognitive processing layer and application control layer. The perceptual execution layer realizes ubiquitous perception and control for human, machine, material and environment through sensing and control node. The network transmission layer not only combines backbone network and sub-network, but also combines wired network and wireless network, so as to realize reliable and efficient information transmission. The cognitive processing layer consists of a large number of distributed computing devices to achieve information fusion and analysis, data mining and big data analysis. The application control layer provides communication interface for users to realize centralized monitoring and coordinated control of each link in coal mine. According to characteristics of the sensing and control node in coal mine cyber-physical system, model of the sensing and control node was established by use of BDI model. Autonomous state, autonomous control and autonomous behavior of the sensing and control node are described by belief, goal and plan. Several goals are generated and allocated according to reasoning based on perceptual event and belief library, then plan is refreshed by current belief and plan library, which causes corresponding behavior is executed and belief and goal are modified.
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    2. 赵丽娟，司欢欢，施磊，金鑫，张美晨. 基于信息物理融合系统的采煤机煤岩识别系统建模与仿真. 机械强度. 2022(06): 1402-1410 . 百度学术
    3. 李腾飞，李常友，李敬兆. 煤矿信息全面感知与智慧决策系统. 工矿自动化. 2020(03): 34-37+54 . 本站查看

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出版历程
  • 刊出日期:  2019-02-09

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