Abstract: In response to the problems of short skylight points, diverse diseases, and insufficient intelligence level in railway bridge maintenance, this paper designed a railway bridge disease informatization management system based on new generation information technologies such as big data and artificial intelligence. The paper established a data knowledge base system and coding system, combined with decision management methods, implemented visual presentation, digital processing, intelligent analysis, standardized integration, and standardized storage and management of disease information. This system improves the level of railway bridge disease management and provides technical support for railway bridge safety.