Power cable identification and spatial positioning method and system

Abstract

The invention relates to the technical field of cable identification, and discloses a power cable identification and spatial positioning method and system, and the method comprises the following steps: S1, detecting a target cable, completing the identification of the cable in an environment, and obtaining the point cloud data of the cable; s2, processing the point cloud data through a visual processing program, and performing fitting reconstruction and pose calculation in combination with cable identification data; and S3, the visual processing module sends a final processing result to the terminal. According to the invention, three types of sensors are used in cooperation and complement each other in advantages, and an optimization algorithm is carried in an equipment chip, so that the equipment can realize accurate positioning of the cable even in unfavorable working environments such as strong light, backlight and complex space environment.

Description

technical field [0001] The invention relates to the technical field of cable identification, in particular to a power cable identification and spatial positioning method and system. Background technique [0002] At present, there are two main methods of cable identification and positioning during live work such as disconnection of leads: manual identification and positioning and single sensor identification and positioning. In manual identification and positioning, the staff locates the pose of the cable according to the remotely transmitted video images and then performs subsequent operations; the latter uses sensors to scan the on-site environment and inputs the scanned images into algorithms for processing to achieve positioning. [0003] The deficiency of above-mentioned technical scheme has: [0004] 1. Low efficiency; [0005] 2. Poor recognition accuracy; [0006] 3. The recognition effect is poor under strong light and backlight environment, and the obtained image...

AI Technical Summary

Problems solved by technology

[0004] 1. Low efficiency;

[0005] 2. Poor recognition accuracy;

[0006] 3. The recognition effect is poor under strong light and backlight environment, and the obtained image data is noisy;

[0007] At present, the few multi-sensor fusion identification focuses on generality, and the field of live working cable identification is relatively poor, which cannot meet all operating needs.

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