The invention discloses a real-time multi-
modal language analysis system and method based on mobile edge intelligence, and the
system comprises three types of mobile edge intelligent servers: a mobilebase
station (MGS), an unmanned vehicle (UGV) and an unmanned aerial vehicle (UAV), and the computing resources of the three types of mobile edge intelligent servers are sequentially reduced, and themoving flexibility is sequentially improved. According to the real-time multi-
modal language analysis system, language data of a user is divided into three modalities, namely characters, voice and images, and a calculation task is allocated to a proper MEI
server to be executed according to the calculation and analysis difficulty and the size of required calculation resources. According to the method, a real-time multi-
modal language analysis and calculation problem in a dynamic environment is constructed, then a task unloading matrix and a
resource allocation matrix are generated through a
deep learning online optimization method, and meanwhile, movement path planning of an MEI
server is automatically implemented according to channel conditions and interference during communication. Thetrained DNN can be suitable for a dynamic scene in which the number of multi-modal computing tasks changes, and has very high practicability.