Abstract: Transparent geology is the core objective of intelligent coal mine construction. High-precision 3D geological models form the foundation and prerequisite for geological transparency. However, the complexity of geological bodies, the multi-source and heterogeneous nature of coal mine data, and the limitations of traditional 3D geological modeling techniques pose significant challenges to the construction of coal mine geological models in terms of accuracy, scale, and update capability. To develop high-precision 3D geological modeling methods suitable for coal mines, this study utilizes the deep exploration geoscience modeling software (DepthInsight, DI) to establish a comprehensive workflow covering data preparation, model construction, and model evaluation. This workflow necessitates core technologies including multi-source data fusion, large-scale project area engine technology, model seamless splicing, and dynamic updating. This technical workflow was validated through engineering application at the Shoushan No.1 Mine, where a high-precision 3D geological model was constructed. The mine-scale model presents the complex geological structural information within the mining area in a generalized three-dimensional form, achieving transparency of underground structures. Based on this, interpolation algorithms were employed to predict the spatial distribution of coal seam properties such as calorific value, moisture content, and ash content within the experimental area in true 3D space. Taking the 12310 working face as an example, the method for dynamic updating of high-precision 3D geological models in longwall mining faces was explored. Nonetheless, current challenges persist, including the lack of online collaborative and dynamic update platforms, limitations in precise modeling methods for complex geological structures, insufficient efficiency and rendering quality for massive data visualization, as well as cognitive biases in management and a lack of institutional safeguards. Coal mine geological modeling technology is evolving towards greater intelligence and platform integration.