Research on intelligent sensor network technology for mine environment monitoring

To address the challenges posed by the complexity and dynamic nature of monitoring within a mining environment, this research introduces an intelligent surveillance system grounded in wireless sensor networks (WSN). This system employs a network node localization algorithm to enable real-time tracking of critical factors in the mining context, including gas levels, temperature and humidity, geological shifts, and more. In order to enhance the accuracy of monitoring and bolster system reliability, an optimized network node placement strategy is developed in this study, incorporating an adaptive algorithm to dynamically fine-tune the data routing paths. During the system simulation phase, a virtual model of the mining environment is created to evaluate the wireless sensor network's monitoring performance across various scenarios. The simulation findings demonstrate that the proposed system offers notable advantages in terms of precision in data collection and energy efficiency of nodes. Detailed data analysis further substantiates the system's capability to enhance both the effectiveness and safety of environmental monitoring in mines. This research not only delivers technical backing for mine environment monitoring but also serves as a reference for the future deployment of wireless sensor networks in intricate settings.