The invention provides an unmanned
transportation logistics vehicle fault diagnosis
system and method based on a large
language model, and the
system comprises an unmanned
transportation logistics vehicle fault diagnosis model which is used for inputting the multi-mode fault information of an unmanned
transportation logistics vehicle, the man-
machine interaction module outputs fault reasons, fault positioning information, fault removal suggestions and fault removal feedback experience; the unmanned transportation logistics vehicle fault diagnosis
system comprises an unmanned transportation logistics vehicle fault diagnosis model, a continuously-updated fault diagnosis
knowledge base used for storing historical fault logs, historical fault reasons and historical fault removal experience, and a fault
knowledge graph used for training and updating the unmanned transportation logistics vehicle fault diagnosis model and self-updating the continuously-updated fault diagnosis
knowledge base. According to the fault diagnosis method and device, based on the fault diagnosis model and the continuously-updated fault diagnosis
knowledge base, an auxiliary fault diagnosis function is provided for workers through man-
machine interaction, the fault diagnosis efficiency is improved, the diagnosis cost is reduced, new fault types are continuously learned, and a virtuous cycle optimization mechanism is formed.