FPSO stand pipe supporting structure stability online identification method and system

By monitoring and preprocessing sensor data in real time, training and optimizing the stable identification model, combining a multi-module system to realize real-time evaluation and dynamic adjustment of the stability of the FPSO riser support structure, the problem of inability to adapt to environmental changes and data security risks in the existing technology is solved, and efficient and safe stability identification and control effects are achieved.

CN119691365AInactive Publication Date: 2025-03-25CIMC OFFSHORE ENG INST +2
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Patent Information

Application Number
CN202510198895.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-24
Publication Date
2025-03-25
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing online identification method for the stability of the FPSO riser support structure and the system cannot adapt to the rapid changes in the environment in real time, which reduces the response ability of the overall system, and has the security risk of centralized data storage, low computing efficiency, high network bandwidth pressure, and poor fault tolerance and stability of the system.

Method used

The status of the FPSO riser support structure is monitored in real time through the sensor system, the original sensor data is preprocessed, and the model is stably identified using historical data, and global optimization is performed. The system includes a collection preprocessing module, a feature extraction module, a model training module, a global optimization module, a stability evaluation module, a risk prediction module, a fault diagnosis module, an optimization decision module, an adaptive control module, an evaluation feedback module and a display alarm module, to realize real-time evaluation and dynamic adjustment of the stability of the riser support structure.

Benefits of technology

Real-time online identification of the stability of the FPSO riser support structure is achieved, which can quickly adapt to environmental changes, improve system response capabilities, reduce the possibility of instability, and improve platform operation safety and overall system operation efficiency. At the same time, the security risks of centralized data storage are avoided, and the system's computing efficiency and fault tolerance are improved.

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Abstract

The invention discloses an FPSO stand pipe supporting structure stability online identification method and system, and belongs to the field of ocean engineering.The identification method comprises the following specific steps that firstly, the state of an FPSO stand pipe supporting structure is monitored in real time through a sensor system, and collected original sensor data are preprocessed; iI, training a stable recognition model by using historical sensor data, and globally optimizing the trained stable recognition model; the method can adapt to the rapid change of the environment in real time, improves the response capability of the whole system, effectively reduces the possibility of instability, remarkably reduces the probability of instability accidents, improves the safety of platform operation, achieves the dual optimization of safety and economy, and improves the reliability of the system. The comprehensive operation benefit of the system and the overall efficiency and accuracy of the stability online identification method are improved; the security risk of centralized storage of data can be avoided, the calculation efficiency of the system is improved, the network bandwidth pressure is reduced, the robustness and accuracy of the model are enhanced, and the fault-tolerant capability and stability of the system are improved.
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