| abstract |
The invention discloses an ESN-based method for identifying and pre-warning the fog of a super bridge across a river on a highway, which belongs to the technical field of fog identification on expressways. To identify and improve the accuracy of fog prediction, the technical solution adopted is: The method is as follows: Layout equipment: install fog sensing equipment and edge computing equipment on the expressway cross-river extra-large bridge, and the fog sensing equipment is used to sense and transmit high-speed The visibility and image data of each point of the highway crossing the river bridge; the edge computing equipment is used to analyze and process multi-source heterogeneous meteorological data and predict the probability of the occurrence of fog; fog judgment; perception of fog; fog prediction: based on expressway The meteorological data is sensed in real time along the crossing of the river bridge, and the prediction probability value of mass fog is obtained by using the training method of the echo state network. |