Ballast intelligent screening device based on particle morphology identification

Abstract

The invention discloses a ballast intelligent screening device based on particle morphology identification. The ballast intelligent screening device comprises an aggregate bin, a conveying mechanism,an image acquisition and processing system, an aggregate sorting mechanism and an aggregate collecting mechanism, ballast particle form characteristic parameters are obtained through the image acquisition and processing system, the aggregate sorting mechanism is used for sorting particles meeting the requirements into the aggregate collecting mechanism corresponding to the particle size range, anda ballast sample with specific quality, grading and shape requirements is obtained after mixing. According to the screening device, the shape size of the ballast particles is automatically detected through an instrument, and the ballast particles meeting specific requirements can be selected according to the morphological parameters; and the screening device is applied to ballast screening in a laboratory or a railway site, automatic screening of ballast samples with specific quality and grading requirements can be achieved, the ballast morphology is controllable, and the degree of automationand the screening efficiency are higher.

Description

technical field [0001] The invention belongs to the field of railway engineering and relates to an intelligent ballast screening device based on particle shape recognition. Background technique [0002] Ballasted track is the traditional track structure form of my country's railways. Ballast bed is a kind of granular material layer composed of ballast particles of different shapes and sizes. Under the repeated load of trains, ballast bed particles will be dislocated and rearranged. As well as the crushing and pulverization of ballast particles, its mechanical properties are gradually degraded. [0003] The shape and size of ballast particles have an important impact on the mechanical behavior of the particles and the deformation and deterioration of the ballast bed. At present, the traditional mechanical sieving method is generally used to obtain and evaluate the geometric characteristics of railway ballast aggregates. According to the mass sieve rate of coarse aggregates in...

AI Technical Summary

Problems solved by technology

The quantitative method of gradation curve is only a macroscopic quantitative description, and cannot accurately reflect the geometric characteristics of ballast such as shape and size, and these characteristics will affect the mechanical behavior and deterioration mechanism of granular ballast bed

[0004] At present, limited by the measurement method of the gauge, the traditional mechanical sieving method is used to locally sample and quantify the overall shape characteristics of ballast aggregates. The measurement accuracy and efficiency are low, and the overall shape of ballast particles cannot be accurately described.

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