Existing railway longitudinal plane line position integral intelligent reconstruction method

Abstract

The invention discloses an existing railway longitudinal plane line position integral intelligent reconstruction method, which comprises the following steps of 1) establishing a longitudinal plane line position integral reconstruction optimization model by taking the number of variable slope points, the positions of the variable slope points and the vertical curve radius as optimization variablesand taking the minimum sum of squares of whole line integral lifting and falling path quantities as an objective function and considering various constraint conditions; 2) according to the gradient change rate of the actual measurement point, preliminarily dividing the actual measurement point into a series of straight line and vertical curve point groups; 3) fitting the divided straight line andvertical curve point group, then adjusting the point group to which the actual measurement point belongs according to a fitting result, and further dividing the straight line and vertical curve pointgroup; repeating the step until the attribution of each actual measurement point is not changed any more, and solving the variable slope point quantity accurate value and the values of other optimization variables; and 4) taking the solving result of the step 3) as an initial solution, and solving the optimal solution of the optimization model by adopting a particle swarm optimization algorithm torealize the overall intelligent reconstruction of the existing railway longitudinal plane line position. The method is high in 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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