UAV power inspection point cloud intelligent processing and analysis service platform

Abstract

The present invention proposes an intelligent processing and analysis service platform for UAV power inspection point cloud, its structure mainly includes (a) infrastructure layer; (b) middleware layer; (c) application layer; (d) User layer; the specific construction process includes (1) the overall architecture of the platform framework; (2) line inspection data storage and organization; (3) line inspection data processing core algorithm; (4) line inspection data rendering technology and lean applications. Advantages: Comprehensive use of advanced technologies such as UAV lidar, cloud service, real-time rendering, machine learning, etc., supported by relevant theories, algorithms and architecture systems, for UAV power inspection point cloud in data management, intelligent processing and lean It provides an integrated solution under the cloud computing architecture to realize the open storage, automatic processing, intelligent analysis and lean application of UAV power inspection results.

Description

technical field [0001] The invention relates to an intelligent processing and analysis service platform for unmanned aerial vehicle power inspection point cloud, which belongs to the technical field of power supply equipment maintenance and safety. Background technique [0002] It is a heavy daily work for power supply enterprises to carry out regular patrol inspections on transmission lines, to keep abreast of and understand the operation of transmission lines, as well as changes in the environment around the lines and line protection areas. Manual inspection is a traditional inspection method. Due to the complex terrain environment of the transmission line corridor, in some harsh conditions such as crossing rivers or high mountains, there are no inspection roads along the line. This inspection method is labor-intensive. , The working conditions are difficult, and the operation of the transmission line cannot be grasped in time. As a new inspection technology that uses ins...

AI Technical Summary

Problems solved by technology

On the other hand, the analysis and application of power transmission business based on point cloud data must first go through various complex data processing (noise filtering, flight belt data splicing and registration, spectral and point cloud data fusion, point cloud segmentation, feature extraction, Object recognition, etc.), although there are many related algorithms at home and abroad, most of them are limited to specific data, specific scenes and specific types of objects. The input required by the algorithm is often ideal, and the scale of the data that can be processed is also relatively limited. Robustness, universality, and scalability need to be improved urgently, and according to different needs of users, parameter settings and processing procedures are not the same. Currently, mainstream commercial processing tools and open source software packages (such as TerraSolid, INPHO, ENVI LiDAR , CloudCompare, PCL, etc.), mostly to assist manual classification processing or human-computer interaction semi-automatic processing, the operation efficiency of point cloud data processing has not been effectively improved for a long time, which greatly limits the user's ability to quickly obtain and use data results need

In addition, in the analysis of inspection results data, due to the different technical levels, implementation methods and operating habits of various manufacturers, there are often problems such as low efficiency, low quality results, and even analysis processes that do not conform to industry technical regulations.

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