The number of super-long road constructing tunnels are increased sharply. How to improve service manage and damage prevention. It is a hot problem that the department of expressway road tunnel and service are concerned. Damage prevention of super-long road tunnel is a comprehensive system that it is technology and control. This paper achieves the function that the data is preserved, statistically analyzed and comprehensively evaluated in view of artificial neural networks on the basis of GIS. Puts forward damage prevention evaluation index system. It includes management organization system, traffic control system, hazardous goods and safe checking system, rescue organization and fire control system, mechanical and electrical system, monitor system, civil structure maintenance control system, fire emergency system and safe control system. Divides into damage prevention grade in view of different weight value and damage prevention grade of different index. It suggests a basis for damage prevention evaluation of super-long road tunnel.