• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2025, Vol. 61 ›› Issue (14): 410-421.doi: 10.3901/JME.2025.14.410

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Efficient Automatic Layout Method of Multi-branch Cable Harness Based on Terminal-SMT

SUN Hao1, YUAN Ye2, ZHANG Qi1, ZHANG Xiaobei1   

  1. 1. School of Communication and Information Engineering, Shanghai University, Shanghai 200444;
    2. Shanghai Aircraft Design and Research Institute, Shanghai 201210
  • Received:2024-06-05 Revised:2025-01-07 Published:2025-08-25

Abstract: The layout of multi-branch cable harness has the characteristics of large amount of data and high complexity, and it is difficult to balance layout efficiency and quality. To solve the problem of the automatic layout of multi-branch cable harness in aviation electrical wiring interconnect system(EWIS), an automatic layout method based on terminal Steiner minimal tree(TSMT) is proposed. Firstly, the method constructs the TSMT connecting all wiring terminals according to their coordinates. The initial layout topology of the cable harness is obtained by establishing the Steiner point as the bifurcation point. Then, substituting into the actual wiring environment and taking the shape and the total weight of the cable harness as the optimization target, the position of the bifurcation point is optimized by the particle swarm optimization algorithm(PSO). During this process, the prior knowledge of TSMT is used to assist particle coding, the genetic algorithm is combined to optimize particle search strategy and the coarse-grained parallel is used to improve particle calculation process, so as to improve the optimization quality and efficiency of the algorithm. Compared with the whole-process iterative method, the calculation efficiency of the proposed method is increased by 83.8%, and the optimization effect is increased by 15.2%, which prove the feasibility of the proposed method.

Key words: electrical wiring interconnect system, multi-branch harness, automatic layout, terminal Steiner minimal tree, particle swarm optimization

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