An image-based device and method for measuring railway snow depth

Abstract

The invention discloses an image-based railway snow depth measurement device and method. The device includes a laser probe, a bracket, a network camera, an infrared band-pass filter, a terminal computer, a ground reference plate, a fixed frame, and a data processing platform. The data processing platform includes a data processing unit and a 3G router, wherein the 3G router adopts a 3G mobile data communication platform; the laser probe is installed directly above the network camera, and the infrared bandpass filter is installed in front of the network camera lens; the network camera The laser spot is photographed, collected and processed by the data processing platform, and transmitted to the terminal computer through the communication unit. Through digital image processing, combined with the least square method to fit the spot boundary, the pixel coordinates of the laser probe are obtained, and then simulated by the sub-pixel surface. The sub-pixel coordinate position of the laser probe is legally given, and finally the snow depth is obtained according to the geometric relationship. The invention has the advantages of simple structure, low cost, high measurement precision and little influence on the measured object.

Description

technical field [0001] The invention relates to the technical field of meteorological observation, in particular to an image-based railway snow depth measurement device and method. Background technique [0002] Light snowfall is not harmful to railway transportation, but heavy snow or flying snow will seriously affect transportation safety and efficiency, and avalanches may cause railway safety accidents. Through the real-time monitoring of snow conditions along the railway, it can effectively avoid railway safety accidents caused by snow disasters, improve transportation safety and transportation efficiency, and provide quantitative reference for railway safety operation. [0003] Snow depth is the vertical depth from the snow surface to the ground. The traditional snow depth measurement method is the manual observation method, and a snow ruler or a measuring rod with the same scale is inserted into the snow to the ground surface to measure the ground snow depth. Manual o...

AI Technical Summary

Problems solved by technology

Factors such as wind speed, uneven snow surface, low blowing snow, and lower temperature will affect the measurement results of the ultrasonic sensor, making the measurement distance shorter and the measurement accuracy lower

Laser sensors measure snow depth with high precision and good real-time performance. However, the traditional single laser sensor for snow depth measurement may obtain different measurement results due to the different positions of the laser detection points, resulting in wrong scheduling of trains or false alarms.

The image recognition method is greatly affected by the environment, and the recognition accuracy can only reach the integer pixel level, and the accuracy is low

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