Point switch notch detection method based on target detection and image processing

Abstract

The invention provides a point switch notch detection method based on target detection and image processing. The point switch notch detection method comprises the steps: collecting a point switch notch image in the process that a train passes through a turnout and the turnout is driven by the point switch to be converted; establishing a target detection network and training; inputting the notch image to be detected into the trained target detection network, identifying a target area in the notch image, and obtaining a boundary frame parameter of the area; preprocessing the gap image accordingto the boundary frame parameters of the area; carrying out notch detection on the notch image, including notch feature straight line fitting and image inclination detection and correction; and calculating a gap value w according to the gap characteristic straight line. The point switch notch detection method can be directly applied to various types of switch machines, does not need to set different image preprocessing parameters for the different types of switch machines, is suitable for complex and severe operation conditions such as local overexposure of the notch image and inclination of the notch image, and can further improve the accuracy, robustness and universality of a notch detection system.

Description

technical field [0001] The invention relates to the field of rail transit, in particular to a method for detecting gaps in switch machines based on target detection and image processing. Background technique [0002] Turnout is an important equipment to ensure the safety of railway traffic. The switch machine drives the switch to move the train from one track to another. The detection of the gap offset of the switch machine can reflect whether the tip rail of the switch is closely attached to the basic rail. . When the gap is too large, the approach cannot be established for the train, otherwise serious safety accidents such as train derailment may occur. Therefore, real-time detection of the size of the gap is very important for the railway signaling system and emergency response, and the situation of the gap can be grasped in real time. [0003] The traditional switch machine gap detection method is manual inspection or installing photoelectric sensors, magnetic grid sen...

AI Technical Summary

Problems solved by technology

The image processing algorithm only needs to process the image of the target area according to the bounding box parameters of the target area, which greatly reduces the complexity of image processing and avoids the non-target area, especially the local overexposure area, from affecting the image processing. Interference, suitable for partial overexposure of the notch image; in the notch detection and gap distance calculation, the image tilt detection and correction algorithm and the notch feature line fitting algorithm are proposed to accurately detect the tilted notch image and calculate the size of the notch value to improve the system. Robustness and notch calculation accuracy, suitable for the case where the notch image is tilted

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