Contact network geometrical parameter detection method and device

Abstract

The invention provides a contact network geometrical parameter detection method and device. The contact network geometrical parameter detection method comprises the steps of obtaining one-dimensional contact network images shot by at least two line-scan cameras fixed on the top of a vehicle, carrying out grey processing on the one-dimensional contact network images to generate a grey value and pixel coordinate relation diagram, determining the imaging position of contact lines of a contact network in the images according to the grey value and pixel coordinate relation diagram, determining the imaging angle of each contact line in the corresponding camera according to the imaging position of the contact line, and determining the geometrical parameters of the contact network according to the imaging angles and the position data of the line-scan cameras relative to the top of the vehicle. Geometrical parameter detection is carried out by utilization of the images collected by the line-scan cameras, the line-scan speed is high, a detection result is accurate, detection efficiency is high, the time for maintaining a skylight is not occupied, a reliable technical means is provided for measurement and evaluation of dynamic and static geometrical parameters of the contact network, and the working efficiency for checking and maintaining a power supply unit is improved.

Description

technical field [0001] The invention relates to detection technology, in particular to a method and device for detecting geometric parameters of catenary. Background technique [0002] With the continuous expansion and improvement of the scale of railway transportation network and urban rail transit network, the catenary maintenance tasks of relevant operation and maintenance departments of railway and urban rail transit are also becoming increasingly heavy. In order to effectively improve the railway transportation capacity and transportation efficiency, the railway operation and maintenance department must effectively improve the quality and efficiency of the maintenance operation while controlling the maintenance time. This requires the railway operation and maintenance department to adopt more advanced detection technology and more scientific analysis methods. Improve the efficiency of daily maintenance from the aspects of detection technology and detection accuracy, and...

AI Technical Summary

Problems solved by technology

The existing laser scanning ranging technology has disadvantages such as low measurement speed, low mobile measurement accuracy, and is easily affected by the environment and the surface reflectivity of the measured material, which cannot meet the high-speed, high-resolution and all-weather measurement requirements.

However, the existing visual measurement technology using area scanning cameras is restricted by many factors such as two-dimensional image resolution, large amount of single-frame image data, image processing speed, and easy occurrence of backlighting. It is also difficult to meet high-speed, high-resolution and all-weather requirements measurement requirements

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