脐带缆作为油气开采水下生产系统中的关键组成部分，其截面由光缆、电缆、钢管和填充等组成。由于构件的性能存在一定差异，因此其排布形式会使得脐带缆性能存在较大差距。本文考虑到截面紧凑性、平衡性和热源分散性，建立多目标优化模型。建立相应的物理模型并采用拟物算法对包含等径构件的脐带缆截面进行布局设计。在前期研究中发现由于功能构件数目的原因，优化后截面会存在空缺问题，为了满足脐带缆设计规范中对截面布局密实的要求，因此本文提出基于图像识别的截面构件自动填充策略并将该策略与布局优化流程进行结合。最后以一条脐带缆为例，通过拟物算法得到最优布局后，利用填充策略完成截面填充设计，通过与初始截面对比，验证了本文提出的自动填充设计算法的有效性，为脐带缆截面填充设计提供有效参考。

As a key component in the subsea production system for oil and gas exploitation, a marine umbilical consists of optical cables, electrical cables, steel tubes, and filler bodies. The difference of materials and dimensions between the components leads to a great difference in their mechanical properties, and the different layouts cause a large gap in the performance of an umbilical. Considering the compactness, balance and heat source dispersion of the cross-section, a multi-objective optimization model is established in this paper. Based on the quasi-physical algorithm, the layout design of cross-section of an umbilical containing equal-diameter components is carried out. Due to the number of functional components, the optimized cross-section will have large gap. In order to meet the requirement of dense cross-sectional layout in the umbilical cable design specification, a strategy for automatically filling filler bodies based on image recognition is introduced and combined with the layout optimization process. Finally, taking an umbilical as an example, after obtaining the optimal layout through the quasi-physical algorithm, the filling strategy is utilized to complete the design of cross-sectional filler bodies. The validity of the algorithm is verified by comparing with the initial cross-sectional layout, which proves it is an effective reference for the design of cross-sectional filler bodies of umbilicals.