The most typical disasters of major urban infrastructure are earthquake, strong wind, fire and explosion. These disasters are often accompanied by "chain" behavior, forming secondary disasters. The multi disaster effect analysis technology of major infrastructure, with the help of mining data characteristics such as machine learning and artificial intelligence, uses big data processing methods to develop various disaster identification technology systems, considers the multi disaster chain effect, and establishes a big data urban disaster prediction and simulation system.