Digital Twin Technology-Driven Smart Construction and Application Research of Abandoned Mine Pit Tourism Scenes

Abandoned mine pits, as distinctive post-industrial landscapes, hold considerable potential for tourism development, ecological restoration, and regional regeneration. However, their sustainable utilization is constrained by complex safety risks, environmental degradation, fragmented data, and difficulties in real-time visitor management. This study investigates the application of digital twin technology to construct intelligent, immersive, and interactive tourism scenarios for abandoned mine pits. By integrating multi-source data, including IoT sensor networks, GIS mapping, high-precision 3D modeling, and real-time visitor behavior analysis, a comprehensive digital twin platform is developed to mirror physical conditions and operational states of the site. The platform supports continuous environmental monitoring, structural safety assessment, and dynamic scenario simulation under different visitor flows and climatic conditions. Case studies demonstrate the system's capacity for early risk prediction, emergency response support, and personalized service delivery through adaptive guidance, information visualization, and experience optimization. The research further discusses system architecture, data integration workflows, and key technical challenges related to interoperability and model updating. The findings highlight the transformative potential of digital twins in revitalizing abandoned industrial sites, promoting sustainable tourism, enhancing environmental governance, and supporting smart destination management and planning decisions.