Automatically optimized piping arrangement method based on improved genetic algorithm

Abstract

The invention discloses an automatically optimized piping arrangement method based on an improved genetic algorithm. The automatically optimized piping arrangement method comprises the following steps of: 1, collecting the field data of piping arrangement; 2, performing space subdivision on a simulated piping arrangement space to divide the space into different lines, columns and layers; 3, constructing an optimized piping arrangement target function by taking pipe length, elbow number, energy and gravitational potential energy as optimization targets; 4, formulating an optimized target piping arrangement scheme to determine algorithm parameters; 5, performing genetical operation on a path population by calling the improved genetic algorithm; and 6, outputting a distribution graph of an optimized target piping arrangement result in a piping arrangement space. According to the automatically optimized piping arrangement method provided by the invention, the convergence rate and the stability of the genetic algorithm in the optimized piping arrangement application are increased, and the work load for optimized piping arrangement work and the errors generated due to experience-based manual operation are greatly reduced.

Description

Technical field [0001] The invention relates to a method for optimizing the arrangement of pipelines, in particular to a method for automatically optimizing the arrangement of pipelines based on an improved genetic algorithm, and belongs to the field of computer applications for optimizing the arrangement of pipelines. technical background [0002] Pipeline transportation is widely used in all aspects of national life. The automatic optimal layout of pipelines can effectively save economic costs, shorten the design cycle, and improve space utilization. At present, the pipeline optimization layout work is mainly done manually by experienced experts. Due to the lack of stable and effective pipeline optimization layout method support, the layout of many engineering pipelines is designed in the way of plane section diagrams, which requires a lot of manual experience, which is not only cumbersome and time-consuming , labor-intensive, and the display method is not intuitive, it is...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problems existing in the current pipeline layout that require a large amount of manual experience operation, lack of stable and effective pipeline automatic optimization design method support, and the traditional genetic algorithm has defects in the pipeline optimization layout, etc., the present invention provides an improved genetic algorithm based Pipeline Automatic Optimal Layout Method

This method improves the traditional genetic algorithm, so that the genetic algorithm can be stably and effectively applied to the optimal layout of the pipeline, and effectively solves the problems of the traditional genetic algorithm such as slow convergence speed and easy to fall into local optimum, and has the advantages of fast convergence speed and good stability. advantage

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