Comparison of Cutter Suction Dredger slurry concentration soft measurement method based on the mechanism and data dual-driven model

Aiming at the problem that the cutter suction dredger (CSD) slurry concentration measurement method (gamma-ray concentration meter) is single, and the frequent failures affect the construction continuity. A soft measurement method of slurry concentration based on the mechanism and data dual-mode drive was proposed. First, analyze the process of cutter cutting and the force of the mud and sand particles inside of the cutter. Then, the concentration prediction model of the slurry transportation process was presented by digital simulation modeling technology. Second, a data-driven slurry concentration prediction model was established, using big data, machine learning, data mining, and other technologies, which learn the historical data of the dredger. To verify the accuracy of the two models, this paper designed three different parameters and five operating conditions on the experimental platform. Experiments show that the prediction performance of the two models is good. In most working conditions, the mechanism-driven slurry concentration model and the data-driven slurry concentration model maintain an error rate of less than 5%, but the prediction error of the mechanism-driven slurry concentration model is relatively large under the flow velocity at the suction port is 3.5 m/s. Overall, the slurry concentration prediction model based on the mechanism & data has high prediction accuracy and can improve construction efficiency and reliability.