To ensure safety of ship transportation of dangerous goods

realize effective monitoring of shipborne dangerous goods in-transit staus

and achieve risk early-warning

design architecture of monitoring and earlywarning system

and focus on the processing method for dangerous goods security status monitoring information received from WSNs. Propose a processing method for shipborne dangerous goods in-transit security status information fusion based on co-integration theory

computer simulation results show that the method can predict dangerous goods status information accurately

and simultaneously

it has function of diagnosis of abnormal status.