The invention belongs to the technical field of integrated pipe gallery engineering. Disclosed is a big data visualization system and method for an underground comprehensive pipe corridor. The big data visualization system of the underground comprehensive pipe corridor comprises a video monitoring module, an environmental data detection module, a central control module, a cloud service module, a device management module, a risk assessment module, an alarm module and a display module. The big data visualization system comprises a video monitoring module, an environmental data detection module,a central control module, a cloud service module, a device management module, a risk assessment module, an alarm module and a display module. The invention establishes an Internet of Things communication framework between the security, ventilation, power supply, drainage, lighting and fire fighting equipment in the pipeline corridor and the cloud server platform through a management module, utilizes the Internet of Things technology, and greatly facilitates the management of the operation and maintenance equipment. At the same time, through the risk assessment module, the invention can construct a comprehensive pipe corridor disaster chain Bayesian network model according to the evolution law of a plurality of potential disasters in the comprehensive pipe corridor, predict the occurrence probability of each disaster in the pipe corridor and evaluate the loss degree of the pipe corridor, thereby proposing a scientific and effective comprehensive pipe corridor pregnant source chain broken disaster reduction mechanism and measures.