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煤矿信息物理系统场景感知自配置与优化策略研究

Research on scene perception self-configuration and optimization strategy of cyber-physical system for coal mine

  • 摘要: 针对煤矿信息物理系统(CPS)场景感知信息多源、异构、量多等问题,导致煤矿物联网建设困难的现状,提出了一种基于云服务、边缘计算和WSN等技术的煤矿信息物理系统场景感知自配置系统。利用边缘计算的规则计算、函数计算、消息路由和断网续传等功能实现煤矿场景信息本地处理,结合云服务的资源管理和调度等优势来优化煤矿场景感知信息管理,提升煤矿场景感知的实时性和系统性,实现对自配置系统的优化,并利用WSN技术与煤矿有线感知技术相结合的方式,扩大煤矿场景感知的覆盖面,保障信息传输的可靠性,同时利用分布式文件存储系统和区块链的信息保护特性,保障煤矿生产信息存储安全。煤矿信息物理系统场景感知自配置的实现对提高煤矿生产的智能化水平和安全性具有重要的作用。

     

    Abstract: Aiming at the problems of multi-source,heterogeneous and multi-quantity of scenario-aware information in Coal Mine Information Physics System (CPS),the current situation of the construction of the Internet of Things in coal mine is difficult. A scene perception self-configuration system for coal mine cyber-physical system based on technologies such as cloud service,edge computing and WSN is proposed. Local processing of coal mine scene information is realized by using the functions of rule calculation,function calculation,message routing and off-line transmission of edge computing. Combining the advantages of resource management and scheduling capabilities of cloud service to optimize the coal mine scene perception information management,improve the real-time and systematic of coal mine scene perception and realize the optimization of self-configuration system. It’s also used to expand the coverage of coal mine scene perception and ensure the reliability of information transmission by combining WSN technology with existing coal mine perception technology. At the same time,the information protection characteristics of distributed file storage system and block chain are used to ensure the safety of coal mine production information storage. The implementation of scene-aware self-configuration of coal mine information physical system plays an important role in improving the intelligence level and security of coal mine production.

     

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