A fixed dredging module regulation method and system based on tidal current prediction

By combining tidal current prediction with flow-structure coupling simulation, the fixed dredging module was able to achieve autonomous sensing and coordinated control, which solved the problems of lagging baffle attitude adjustment and unscientific dredging operations, and improved the targeting and efficiency of dredging operations.

CN122169458APending Publication Date: 2026-06-09CHINA HARBOUR ENGINEERING +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA HARBOUR ENGINEERING
Filing Date
2026-05-11
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

The existing fixed dredging modules cannot adaptively adjust to tidal changes and meteorological disturbances, which makes it impossible for the guide vanes to maintain the optimal angle of flow for a long time. This leads to a decrease in sediment collection efficiency, a lack of scientific determination of when to start dredging operations, and a tendency for dry dredging or clogging of the channel.

Method used

The flow velocity and direction sequence for future periods is generated by a time-series network based on tidal flow prediction. The target attitude parameters of the guide vane are calculated by combining the material deformation response curve of the guide vane and the water flow-structure coupling simulation. The attitude of the guide vane is adjusted by an electrothermal drive signal, and the timing of dredging is determined by combining the sediment thickness data.

Benefits of technology

It enables the fixed dredging module to autonomously sense and coordinate with the dynamic changes in water flow, improving the targeting and efficiency of dredging operations, avoiding dry pumping and channel blockage, and increasing the efficiency of sediment collection.

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Abstract

The application provides a fixed dredging module regulation method and system based on tidal flow prediction, and relates to the technical field of water conservancy and environmental engineering. The method obtains tidal time series data and meteorological time series data of a target water area, generates a predicted flow rate sequence and a predicted flow direction sequence by using a time series prediction network, performs water flow-structure coupling simulation based on the predicted sequence, current posture data of a guide plate, an installation position and local topographic parameters, and inversely calculates a heating time length as a target posture parameter, generates an electric heating driving signal to adjust the posture of the guide plate, collects actual posture data to confirm that the adjustment is completed, compares mud pumping start conditions according to a posture adjustment completion signal, in-slot sediment thickness data and the predicted flow rate sequence, and generates a mud pumping start signal. The application realizes active prediction and self-adaptive regulation of the dredging module to tidal flow changes, and significantly improves the sediment collection efficiency and mud pumping operation coordination.
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