This paper presents a real-time monitoring system for underground miners based on mine IoT technology. The system aims to monitor the safety, health, and fatigue levels of miners, providing timely risk warnings and enabling prompt emergency responses. The system integrates data collection, transmission, and processing functions into two wearable terminals: an electronic bracelet and a smart miner lamp. The bracelet collects vital signs such as respiration, body temperature, pulse rate, and blood pressure, while the miner lamp integrates multi-gas detection, personnel positioning, and wireless communication. Data is transmitted via 5G and UWB positioning base stations, with distributed MIMO networking to minimize latency and ensure reliable communication. A backpropagation mapping model is used to estimate miner fatigue based on the correlation between saliva pH and fatigue. A unified visualization platform is established to manage all miners' states and enable emergency response. The system has been successfully implemented in a coal mine in Northwest China, demonstrating its effectiveness in monitoring miner well-being and enhancing safety. The system also includes data management and emergency response features, allowing for real-time data processing and visualization. The system is designed to be lightweight and portable, with components optimized for data collection, multi-gas detection, and personnel positioning. The system is expected to be extended to other mines, with plans to integrate GNSS for personnel positioning and adopt blockchain technology for data security. The research also includes three Chinese patents related to the system's components.This paper presents a real-time monitoring system for underground miners based on mine IoT technology. The system aims to monitor the safety, health, and fatigue levels of miners, providing timely risk warnings and enabling prompt emergency responses. The system integrates data collection, transmission, and processing functions into two wearable terminals: an electronic bracelet and a smart miner lamp. The bracelet collects vital signs such as respiration, body temperature, pulse rate, and blood pressure, while the miner lamp integrates multi-gas detection, personnel positioning, and wireless communication. Data is transmitted via 5G and UWB positioning base stations, with distributed MIMO networking to minimize latency and ensure reliable communication. A backpropagation mapping model is used to estimate miner fatigue based on the correlation between saliva pH and fatigue. A unified visualization platform is established to manage all miners' states and enable emergency response. The system has been successfully implemented in a coal mine in Northwest China, demonstrating its effectiveness in monitoring miner well-being and enhancing safety. The system also includes data management and emergency response features, allowing for real-time data processing and visualization. The system is designed to be lightweight and portable, with components optimized for data collection, multi-gas detection, and personnel positioning. The system is expected to be extended to other mines, with plans to integrate GNSS for personnel positioning and adopt blockchain technology for data security. The research also includes three Chinese patents related to the system's components.