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.