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Research and Application of Intelligent Layout Design Algorithm for 3D Pipeline of Nuclear Power Plant

Author

Listed:
  • Jie Zhang
  • Liangjun Wu
  • Jiakun Hu
  • Dong Zhao
  • Jiaoyi Wan
  • Xinwei Xu
  • Qiuye Sun

Abstract

The pipeline layout design of nuclear power plant is to find the optimal route to meet the objectives and constraints in the 3D routing space. However, due to the intensive equipment and complex structure of the nuclear power plant, various types of pipeline systems, complex layout constraints, and a large number of pipelines, even for experienced designers, pipeline layout is a difficult and time-consuming task. In order to solve the problem of the automatic layout of pipeline in 3D routing space of nuclear power plant, a pipeline automatic routing method combining Dijkstra algorithm in large space and improved A∗ algorithm in local space is proposed in this paper. Firstly, the method identifies the key vertices of each room in the nuclear power plant, constructs the topological routing map, and determines the preliminary passage area of the pipeline through the traditional Dijkstra algorithm. Secondly, the space of the layout area is divided into 3D grids, and then the items in the area are identified and preprocessed. Finally, the 3D pipeline routing environment is established through AABB-OBB hybrid collision detection technology. On this basis, the improved method of A∗ evaluation function is given to satisfy the pipeline layout constraints and improve the search efficiency. Through experiments, the effectiveness of this method is proved. This method can quickly and automatically route the nuclear power pipelines that meet the requirements of the engineering, which greatly improves the efficiency of 3D pipeline layout design for the nuclear power plant.

Suggested Citation

  • Jie Zhang & Liangjun Wu & Jiakun Hu & Dong Zhao & Jiaoyi Wan & Xinwei Xu & Qiuye Sun, 2022. "Research and Application of Intelligent Layout Design Algorithm for 3D Pipeline of Nuclear Power Plant," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-19, March.
  • Handle: RePEc:hin:jnlmpe:5198724
    DOI: 10.1155/2022/5198724
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