# Occupational Risk Prediction for Miners Based on Stacking Health Data Fusion
## 4 Experimental Results
### Safety Assessment Platform for Miner Personnel Based on DT  
Digital twin (DT) technology, a novel approach, was first introduced by the National Aeronautics and Space Administration (NASA) and enables interactive mapping between physical and virtual models. The core concept involves using data to generate a virtual representation of a physical system. DT technology can simulate and control physical objects in the real world, with applications in real-time monitoring, action prediction, virtual decision making, and other domains. The development of DT enables simulations across various scales and real-world scenarios, meeting the requirements of diverse applications. This technology enhances system robustness. The digital platform is developed and tested using Unity3D software (version 2022.3.34f1c1), a widely used virtual engine primarily designed for game development and interactive applications across personal computers (PCs), mobile devices, game consoles, and virtual reality platforms. The goal of establishing the DT platform is to create a simulation system that ensures rapid response times and closed-loop data processing. This system facilitates real-time data perception, efficient analysis, and high-speed operational responses, thereby improving overall system performance. First, for model creation, data such as size, scale, and other relevant attributes are collected for the entities. Using 3 dsMax (version 2022), 3D rendering is performed, and appropriate textures are applied to enhance the accuracy of the model's representation of solid objects. Once the file is saved in FilmBox (FBX) format, the virtual model is imported into Unity3D, where a mapping is established between the physical entities and their virtual counterparts, as shown in Figure 13. Next, data collection is carried out; the physiological information of miners working in mining faces is gathered through wearable sensors, which monitor vital signs such as blood pressure, body temperature, and heart rate. Miner personnel collect physiological data through the MKB0908 wearable device designed for human vital sign information collection. This device consists primarily of five chipsets: the YK1801 pulse sensor chip, the HR6707 pulse chip, the HR6816 gain chip, the SFB9712 algorithm chip, and the WD3703 temperature sensor. It is used to collect human pulse information through analog front-end chip HR607 + HR6816 and algorithm chip SFB9712 to output serial port signals such as blood pressure and heart rate. The WD3703 temperature sensor outputs temperature data via the GPIO interface and the SFB9712 algorithm chip. These data are displayed on the system's man-machine interface. The interface between the DT platform and users allows for monitoring, prediction, analysis, and optimization of personnel within the platform. It displays and analyzes data via the  
Figure 13: A model diagram of the miner. Message Queue Telemetry Transfer (MQTT) communication protocol and DT platform, using a user interface (UI) specifically designed for risk assessment. The interface displays health assessment results and facilitates human-computer interaction within the system. Managers can monitor mine operators through the DT platform and set thresholds for health parameters such as blood pressure. Currently, the miner [PERSON] is detected to have a heart rate of 124 beats/min, blood pressure of 159 mmHg, body temperature of 36.6 \({}^{\circ}\)C, age of 30, and is in a healthy state, as shown in Figure 14. If blood pressure exceeds a defined threshold, an alarm is triggered to notify the manager. As shown in Figure 15, the worker [PERSON] has a heart rate of 143 beats/min, blood pressure of 153 mmHg, body temperature of 37.1 \({}^{\circ}\)C, and is 38 years old. At present, his health status is in danger, and an alarm will be issued on the platform to remind the management staff to make emergency plans in time.