A method for filling of a heavy lift vessel cargo stowage

By employing dynamic optimization strategies and handling multiple constraints, the problems of low crane efficiency and insufficient space utilization in cargo loading on heavy-lift vessels are solved, maximizing crane load capacity and space utilization, and providing a flexible cargo loading solution.

CN121458182BActive Publication Date: 2026-07-24COSCO SHIPPING
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
COSCO SHIPPING
Filing Date
2025-09-18
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing methods for loading cargo onto heavy-lift vessels fail to effectively consider the working characteristics of cranes and complex spatial constraints, resulting in low crane efficiency and low space utilization. They are unable to flexibly cope with different crane working modes and lack effective optimization strategies.

Method used

A dynamic optimization strategy and a multi-constraint processing mechanism are adopted. A mathematical model is constructed through a decomposition heuristic algorithm, taking into account the characteristics of the crane and the space structure of the ship's cabin. The module layout and lifting point selection are optimized, and a dynamic adjustment and feedback mechanism is introduced to ensure that the crane's load capacity and space utilization are maximized.

Benefits of technology

It improves crane operation efficiency, maximizes the utilization of the loadable space of the heavy-lift vessel, provides flexible cargo loading solutions, and can optimize module layout and lifting point selection under complex constraints.

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Abstract

The application provides a heavy-lift ship cargo stowage filling method, which comprises the following steps: obtaining heavy-lift ship parameters, constructing a mathematical model with the maximum effective loading space of the heavy-lift ship as the target, solving the mathematical model by using a decomposition heuristic algorithm to perform space allocation and distribute each module to the most suitable area, designing different crane working modes, optimizing the preliminary arrangement scheme according to the different crane working modes, calculating the lifting point selection according to the optimized arrangement scheme of the modules, with the maximum load capacity of each module and the inverse square of the distance as the target to optimize the barycenter position and the lifting point offset, ensuring that the lifting point selection can optimally improve the load capacity of the crane, and generating the final module lifting point selection and performing the same. The application solves the defects in the existing stowage method through a dynamic optimization strategy and a multiple constraint processing mechanism.
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Citation Information

Patent Citations

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