Abstract: In response to the challenges of multi-source heterogeneous data from coal mine disaster monitoring and early warning systems, limited visualization methods for early warning results, inefficient business processes, and insufficient digital decision support, a coal mine disaster integration control platform based on a unified digital base is proposed. This platform consists of a data acquisition layer, data storage layer, application support layer, and application layer. The transparent geological system serves as the data source for shaft and tunnel engineering, utilizing an intelligent ventilation system for ventilation network calculations and ventilation decision analysis. The platform integrates the analysis results and control strategies of various disaster warning systems, conducting full-chain disaster control along two main lines: spatial and business, following the process of "concealed disaster-causing factors—safety monitoring—safety management—disaster early warning—simulation planning—coordinated control." The platform integrates the transparent geological system's data and services through Web API and FIP interfaces, and integrates disaster early warning data based on a unified early warning information description standard. Safety monitoring data is integrated using a hierarchical data object model based on the "scene—model—object—attribute" structure, addressing the issue of data consistency. It also conducts three-dimensional parametric modeling of shaft and tunnel engineering from aspects such as tunnel topology generation, tunnel 3D model creation, and spatial element relationship generation, enabling automatic updates of shaft and tunnel engineering based on transparent geological system data. The platform employs "model compression + browser-side caching + rendering scheduling optimization" to achieve 3D visualization of geological bodies based on WebGL. Through a step-by-step confirmation mechanism for coordinated handling of early warning events, the reliability of warning results and responses is enhanced. Field application results show that the platform achieves synchronization of data from gas, water, fire, mining pressure, dust, intelligent ventilation, and other systems, functional integration, process coordination, and unified visualization, providing support for disaster early warning using integrated with transparent geology.