On-orbit detection method for steel rail in operation state and detection equipment thereof

Abstract

The invention relates to an on-orbit detection method for a steel rail in a running state. The detection method comprises the steps of information acquisition, image acquisition, image preprocessing, judgment and classification of a neural network model, regression analysis of a multiple linear regression model, relative error calculation and information transmission. Real-time detection of the damage condition of the steel rail in the running state is achieved, interpretation is conducted through the neural network algorithm with the deep learning capacity, the confidence coefficient and stability of interpretation are improved, regression analysis is conducted on the interpretation result through the multiple linear regression model, the influence of train running parameters and meteorological parameters on the interpretation result is effectively avoided, and the detection result is closer to the real situation; and meanwhile, the invention further provides detection equipment based on the steel rail on-orbit detection method, and compatible sharing, intercommunication and interconnection with a train control system are effectively achieved through equipment carrying, wire harness integration and program implantation.

Description

technical field [0001] The invention belongs to the technical field of rail detection, and in particular relates to an on-rail detection method and detection equipment for a rail in a running state. Background technique [0002] China's railway and subway transportation lines are busy, the train running interval is short, the operating mileage is long, and the phenomenon of full-load overdue service of rails is serious, resulting in a high incidence of rail damage. In order to ensure the safety of railway transportation, nearly 10,000 full-time rail flaw inspectors conduct internal damage inspections on the rails around the clock every year, which consumes a lot of manpower and material resources, which has also become an important reason for the high operating costs of rail transit. [0003] At present, whether it is ordinary railway rails, high-speed rail rails, or urban underground rails, the internal defects of the rails are diagnosed by combining manual daily inspection...

AI Technical Summary

Problems solved by technology

This device is still a kind of bureau inspection vehicle, and it can only be inspected when the railway is completely idle, and it is impossible to judge the damage of the track in the running state at the first time

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