Abstract: Under the background of the intelligent transformation of deep coal mining, the problem that the geomechanical information in the complex geological conditions of the mining area lacks systematic integration and is difficult to support engineering decisions urgently needs to be solved. In order to achieve unified management and engineering application of multi-source geomechanical data in mining areas, taking a certain mining area in Huainan as the research object, a systematic study was carried out around the statistical analysis of rock mass mechanical parameters in the mining area, regional in-situ stress inversion and the construction of a three-dimensional geomechanical information system. Firstly, based on a large number of indoor rock mechanics tests, the mechanical parameters of different strata and burial depth intervals were systematically statistically analyzed, including compressive strength, tensile strength and Poisson’s ratio, etc., revealing the laws of their variations with burial depth and lithology. Secondly, the CHIO−LSSVM intelligent inversion algorithm was introduced. Combined with the numerical calculation results of FLAC3D and the measured in-situ stress data, the in-situ stress inversion model was constructed. Through continuous iterative optimization and training, a high degree of fitting between in-situ stress inversion and measured data has been achieved. Furthermore, based on the Quanty View 3D geological modeling software, a 3D geological structure model covering the entire mining area was established, representing the distribution characteristics of different strata and major faults. On this basis, the rock mechanics parameters, the inversion results of in-situ stress and the three-dimensional geological model were combined to construct the geomechanical information system of the mining area. This system is equipped with multiple functions such as data storage management, mechanical parameter query, in-situ stress inversion analysis, 3D visualization display and engineering application decision-making, which can provide support for roadway layout and support design. Finally, taking a proposed roadway area in the mining area as an example, the stress and displacement distribution after support were obtained in the numerical analysis software by using the parameters and boundary conditions exported by the system. Compared with the measured data, the engineering application value of the system in the recommendation and optimization decision-making of support schemes was verified.