Overhead line device parameter detection method based on BIM and three-dimensional point cloud fusion

Abstract

The present invention discloses an overhead line device parameter detection method based on BIM and three-dimensional point cloud fusion. The method includes acquiring the three-dimensional point cloud image of an overhead line support device in real time; preprocessing the point cloud data of overhead line support device to realize point cloud data de-noising and structure plane detection and correction; establishing an overhead line BIM model and performing the point cloud processing to generate the standard overhead line support device point cloud data; registering the preprocessed overheadline support device point cloud data and the standard overhead line support device point cloud data to realize the registration segmentation of the overhead line support device point cloud data; andperforming the column structural component extraction on the local areas after the overhead line support device point cloud data segmentation to calculate the geometric structur parameters of the overhead line support device. According to the method, the processing time of the system is effectively shortened, and the accuracy and the real-timeness of system detection are improved, and the requirements of online detection on the geometric structure parameters of the high-speed railway overhead line support device on real-timeness and precision are met.

Description

technical field [0001] The invention relates to the technical field of online detection of high-speed railway catenary, in particular to a method for detecting parameters of a catenary device integrated with BIM and three-dimensional point cloud. Background technique [0002] With the development of high-speed electrified trains, the safety of railway transportation is becoming more and more important. Catenary is one of the most important equipment of high-speed railway power supply system, and the good contact between its catenary wire and pantograph is the key to ensure the stable flow of electric locomotive. The catenary wire is installed and fixed on the locator of the catenary support device. Once the catenary support device fails or is abnormal, the performance of the catenary will be degraded, and even the catenary will fail, which will directly affect the power supply safety of the electric locomotive. [0003] At present, the methods for detecting the geometric st...

AI Technical Summary

Problems solved by technology

For example, manual laser ranging detection can achieve a certain detection accuracy, but the measurement process is cumbersome, and different structural points need to be detected, which is time-consuming and laborious, and the detection efficiency is very low

In comparison, although the accuracy of the image detection method using a CCD (or CMOS) camera is not comparable to that of manual detection, it almost makes up for all the defects of the former. The edge extraction and recognition detection of each component brings certain challenges and difficulties

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