A system and method for real-time attitude monitoring during the floating loading and unloading process of a semi-submersible barge.

By installing radar level gauges at the four corners of the main deck of the semi-submersible barge and combining them with two-stage cascade filtering of Savitzky-Golay filters and moving average filters, the problems of high hardware cost and insufficient data stability of the semi-submersible barge attitude monitoring system were solved, thus achieving accuracy and safety in attitude monitoring.

CN122360427APending Publication Date: 2026-07-10TIANJIN SURVEY & DESIGN INST FOR WATER TRANSPORT ENG CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-06-05
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

Existing semi-submersible barge attitude monitoring technologies suffer from high hardware costs or insufficient data stability, making it difficult to provide accurate attitude data in small and medium-sized semi-submersible barges and routine operation scenarios, thus posing safety hazards.

Method used

Data was collected at the four corners of the main deck of the semi-submersible barge using radar level gauges. The wave disturbances were removed by a two-stage cascade filtering process using a Savitzky-Golay filter and a moving average filter, and the real-time heel and pitch angles of the semi-submersible barge were accurately extracted.

Benefits of technology

It reduces the hardware cost of the attitude monitoring system, improves the stability and accuracy of attitude monitoring, provides reliable decision-making basis, and ensures operational safety and implementation accuracy.

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Abstract

This invention provides a system and method for real-time attitude monitoring during the floating loading and unloading process of a semi-submersible barge. The system includes a data acquisition unit, a data processing unit, and an attitude calculation unit. The data acquisition unit simultaneously collects the vertical distance from each monitoring point to the corresponding water surface using radar level gauges installed at the four corners of the semi-submersible barge's main deck, generating a raw height data sequence. The data processing unit performs two-stage cascade filtering on the raw data: first, a Savitzky-Golay filter is used for local polynomial least squares smoothing fitting, and then a moving average filter is used for secondary smoothing to output a stable height value. The attitude calculation unit calculates the real-time roll and pitch angles of the semi-submersible barge based on the stable height value. This invention effectively suppresses wave interference, improves the stability and accuracy of attitude monitoring, and has low hardware costs.
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