Railway wagon bottom floor damage fault detection method

Abstract

A railway wagon bottom floor damage fault detection method belongs to the technical field of railway wagon safety detection. The invention aims to solve the problems of poor reliability and low efficiency due to the adoption of manual image inspection for safety detection of the bottom floor of the existing rail wagon. The method comprises: collecting and processing whole-wagon linear array imagesof the bottom of a running railway wagon under different conditions to obtain a sample data set; constructing a semantic segmentation neural network model based on an encoder and a decoder, performing training by adopting a sample data set, finding an optimal weight coefficient, and updating the semantic segmentation neural network model; and then collecting a current whole-train linear array image at the bottom of the running rail wagon, obtaining a current to-be-detected target area by adopting the updated semantic segmentation neural network model, carrying out pre-judgment, and carrying out fault detection on the current to-be-detected target area which is pre-judged to have a fault by adopting a single-stage ssd model. According to the invention, automatic identification of bottom floor damage is realized.

Description

technical field [0001] The invention relates to a fault detection method for a damaged floor at the bottom of a railway freight car, and belongs to the technical field of railway freight car safety detection. Background technique [0002] The bottom floor of a railway freight car is huge, and many of the key components that keep the train running are distributed on it. Since there are various types of goods transported by railway wagons, which may be hard and slender steel bars or packed heavy objects, long-term use or accidental collisions will cause damage to the bottom floor, making the goods may fall out of the formed holes; In the process of falling out of the goods, they may be pressed against the steel pipes distributed on the bottom floor, which will further cause the failure of the truck. Therefore, regardless of the damage or loss of the goods or the friction between the hard goods and the bottom track of the truck, it will threaten the safe operation of the railw...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problem that the safety detection of the bottom floor of the existing railway freight car adopts artificial image inspection, which has poor reliability and low efficiency, the present invention provides a method for detecting the damage fault of the bottom floor of the railway freight car

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