An overall intelligent reconstruction method of existing railway longitudinal lines

Abstract

The invention discloses an overall intelligent reconstruction method of the longitudinal line position of the existing railway, which comprises the following steps: 1) taking the number of slope change points, the position of the slope change points, and the radius of the vertical curve as optimization variables, and taking the overall lifting and falling of the entire line as optimization variables; The minimum sum of squares is the objective function, and considering various constraints, the overall reconstruction optimization model of the vertical line is established; 2) According to the slope change rate at the measured point, the measured point is initially divided into a series of straight line and vertical curve point groups ; 3) Fit the divided straight line and vertical curve point group, then adjust the point group to which the measured point belongs according to the fitting result, and further divide the straight line and vertical curve point group; repeat this step until the attribution of each measured point is no longer change, solve the exact value of the number of slope change points and the values ​​of other optimization variables; 4) take the solution result of step 3) as the initial solution, use the particle swarm optimization algorithm to solve the optimal solution of the optimization model, and realize the existing railway longitudinal line Bit overall intelligent reconstruction. The invention has high efficiency and precision.

Description

technical field [0001] The invention relates to a railway design method, in particular to an overall intelligent reconstruction method of the existing railway longitudinal line position. Background technique [0002] The railway is an important national infrastructure and the main artery of the national economy, and plays an important role in my country's economic and social development. The addition and reconstruction of existing railways is one of the key tasks in the field of railway construction in my country in the future. The longitudinal reconstruction of existing lines is an important link in the design of additions and reconstructions of existing lines; and long-term operation and maintenance cause the longitudinal profile to deviate from the original design, resulting in track Irregularity affects driving safety and passenger comfort. Therefore, in routine railway work, it is also facing a lot of railway rectification work. It is of great significance to carry out ...

AI Technical Summary

Problems solved by technology

[0003] For the reconstruction of longitudinal profile, some scholars use the fitting method to smooth the existing track surface, but due to the large number of measured points, the fitted line cannot meet the needs of actual work

Reconstruction of most existing lines requires the identification of straight curve elements first. The traditional identification method is mainly based on the positive vector, slope difference, approximate curvature and azimuth change of the measured point to identify straight curve elements. Large and small in length, it is extremely sensitive to the deviation of the measured points. The accuracy of the above methods cannot meet the needs of actual engineering. Regarding the linear fitting of the longitudinal section, the fitting is mainly based on the least square principle, but most of them do not consider the constraints. As a result, the fitted line shape cannot meet the specification design requirements; and most studies are limited to the reconstruction of a single curve

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