The invention discloses a
multimodal transport logistics management method, device and equipment based on
big data, and belongs to the technical field of
logistics management, and the method comprises the steps: collecting multi-source heterogeneous data of a
multimodal transport full chain, carrying out the fusion
processing of the multi-source heterogeneous data, and constructing a unified logistics
data model; based on the logistics
data model and the constraint condition of the to-be-transported order, dynamically planning a transportation path from a starting point to a
terminal point by adopting a multi-objective optimization
algorithm, and generating a plurality of
transportation planning schemes; receiving any one scheme selected by the user from the plurality of
transportation planning schemes as a current transportation scheme, monitoring the position and state of the cargo in real time according to the current transportation scheme, generating
monitoring data, and generating an
abnormality early warning event when detecting that the
monitoring data is abnormal; and analyzing the abnormal early warning event, generating corresponding scheduling decision suggestions according to different analysis results, and visually displaying the current transportation scheme, the
monitoring data, the abnormal early warning time and the scheduling decision suggestions.