Abstract: The occurrence status, structural morphology and mechanical properties of cracks in coal and rock have a significant impact on its material strength, deformability and impact resistance. Determining the spatial geometry, spreading form and mechanical properties of cracks are of great important both in theory and engineering application for studying the mechanical properties of coal and rock, and the construction of visual database of cracks morphology and mechanical properties of coal and rock mass can provide new idea and research direction for study the identification of crack morphology diversity. Starting from the concept of database and the basic method of establishing a database, the basic idea of the construction of visual database of cracks is designed, a one-to-many mapping relationship between coal-rock mass and crack entities is established, and the basic database framework including the intelligent acquisition of crack multi-source data, intelligent classification and storage of crack properties and visual analysis and implementation of morphological structure is constructed. The features such as intelligent identification of cracks morphology in visual database, multi-angle discrimination based on classification properties of structural morphology and crack mechanics, visualization of the distribution form of geometric structures and intelligent transmission of crack properties based on bar code and QR-code is realized. The project background is Da’anshan coal mine of Beijing Haohua Energy Resource Co., Ltd. Coal rock samples in complex geological formations such as thrust faults and reversed folds were obtained. The 3D digital model of several cracks was extracted by CT scanning, image analysis processing and 3D reconstruction. Combined with different attribute classification standards, the morphological characteristics, distribution location and geometric characteristics of cracks are calculated and classified based on the intelligent recognition algorithm. In addition, the basic module of visualized database of coal and rock crack is established, the crack retrieval and data entry are carried out, and the binding morphology of the crack structure is demonstrated, laying a foundation for the establishment of visual database.