The invention provides a multi-mode vehicle weighing method and device based on vehicle and road cloud, and relates to the field of vehicle weighing. The method comprises the following steps: in response to a dynamic weighing operation for a to-be-measured vehicle, respectively obtaining first vehicle information, second vehicle information and third vehicle information of the to-be-measured vehicle through a
vehicle identification technology, a
radar speed measurement technology and an
optical fiber sensing technology; obtaining a vehicle feature map corresponding to the to-be-detected vehicle through a
vehicle identification technology; constructing a vehicle map neural
network model according to the first vehicle information and the vehicle feature map, constructing a velocity map neural
network model according to the first vehicle information, the second vehicle information and the vehicle feature map, and constructing a quality map neural
network model according to the first vehicle information, the third vehicle information and the vehicle feature map; and constructing a multi-
modal fusion network model through the vehicle graph neural network model, the velocity graph neural network model and the quality graph neural network model, and calculating the
actual weight of the to-be-measured vehicle according to the multi-
modal fusion network model. The problem that the vehicle weighing precision in a weighing
system is still low when the vehicle is weighed only by identifying the deformation characteristics of the vehicle tires is solved.