The present application belongs to the technical field of dredging
engineering, and discloses a method and
system for calculating the multi-factor coupled excavation yield of a drag suction dredger. Specifically, the present application determines the corresponding tooth information of the drag suction dredger based on the position information of the current
water area; substitutes the tooth information and the position information of the
water area into a mechanical soil breaking amount calculation model to calculate the mechanical soil breaking amount per unit time and generate a corresponding tooth soil breaking parameter table; and substitutes the high-pressure
water discharge characteristic information of the drag suction dredger into a hydraulic soil breaking amount calculation model to calculate the hydraulic soil breaking amount per unit time and generate a corresponding high-pressure
water discharge characteristic table. The hydrological environment information is processed by a fuzzy function, and the dredging influence level is divided according to the dredging demand of the drag suction area. Under uncertain external environment, the multi-factor coupled excavation yield calculation model is established through parameter identification learning, which takes into account the environmental constraints of the dredging influence level on the mechanical soil breaking amount and the hydraulic soil breaking amount per unit time, and finally calculates the excavation yield of the drag suction dredger.