Abstract: At present, the track slab with many kinds of damage makes its maintenance rely on manual inspection during the skylight period, which is inefficient and does not form a certain system to obtain damage information. In order to improve the efficiency of track slab maintenance and repair, a CRTSI track slab disease library system was developed and designed. Firstly, the three-dimensional laser scanning technology is used to obtain the disease database data, so as to realize the point cloud information collection of the service track plate damage. Secondly, the target detection algorithm is used to perform coordinate registration and image processing on the point cloud data, so as to realize the accurate positioning and identification of the local damage of the track plate. Finally, through the Unity development platform, the track plate disease library system is constructed to realize the visual display of CRTSI track plate damage information, expansion status and maintenance scheme. The CRTSI track slab disease library system is based on 3D laser scanning technology and Unity platform, which eliminates the time-consuming and laborious disadvantages of track slab detection, improves the mastery of track slab damage maintenance nodes, and provides effective guidance for intelligent maintenance and operation of track slab in railway engineering field.