The production of any mine depends heavily on the secure relation between human and mining equipment. Protecting and optimizing the use of these tools and workers from potential accidents by real-time monitoring and control will greatly improve mine safety and productivity. As an emerging technology, the Internet of Things (IoT) and radio frequency identification (RFID) provides a new strategy for underground production of mine security and safety. The main technologies of the Internet of Things are introduced in line with the required of mine safety production. The innovation used in this process is RFID technology, sensor technology for the conceiving of things, intelligent technology for thinking about things, and inherent security technology. In this article, the adaptive heuristic mathematical model based on IoT and RFID real-time monitoring systems has been proposed for the production of mine safety and analysis. This system allows for real-time tracking, detecting suspicious incidents, and verification of the position of a miner within the harsh underground mining environment. The major involvement of this research is the cost-efficient framework to efficiently promote the protection of underground coalmines. This system helps solve serviceability, accessibility, flexibility, and interoperability problems in coal mines.

中文翻译：

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基于物联网辅助射频识别的矿山安全管理平台

任何矿山的生产在很大程度上取决于人和采矿设备之间的安全关系。通过实时监控和控制保护和优化这些工具和工人的使用免受潜在事故的影响，将大大提高矿山安全和生产力。作为一项新兴技术，物联网（IoT）和射频识别（RFID）为矿山安全生产井下生产提供了新的策略。结合矿山安全生产需要，引入物联网主要技术。在这个过程中使用的创新是RFID技术、用于构思事物的传感器技术、用于思考事物的智能技术以及固有的安全技术。在本文中，提出了基于物联网和RFID实时监控系统的自适应启发式数学模型，用于矿山安全生产和分析。该系统允许实时跟踪、检测可疑事件并验证矿工在恶劣的地下采矿环境中的位置。这项研究的主要参与是有效促进地下煤矿保护的具有成本效益的框架。该系统有助于解决煤矿的可服务性、可访问性、灵活性和互操作性问题。这项研究的主要参与是有效促进地下煤矿保护的具有成本效益的框架。该系统有助于解决煤矿的可服务性、可访问性、灵活性和互操作性问题。这项研究的主要参与是有效促进地下煤矿保护的具有成本效益的框架。该系统有助于解决煤矿的可服务性、可访问性、灵活性和互操作性问题。