Substation three-dimensional live-action model establishing method and system

Abstract

The invention discloses a method for establishing a three-dimensional live-action model of a transformer substation. The method comprises the following steps: (1) acquiring original point cloud data of the transformer substation; (2) preprocessing the original point cloud data of the transformer substation; (3) dividing the preprocessed transformer substation point cloud data into equipment pointclouds with noise points and ground point clouds by adopting an elevation threshold segmentation algorithm; (4) extracting equipment point clouds from the equipment point clouds with the noise pointsby adopting a two-dimensional subspace density difference segmentation method, and thinning the ground point clouds by adopting a one-dimensional subspace density difference; and (5) establishing a three-dimensional live-action model of the transformer substation by adopting the extracted equipment point cloud and the thinned ground point cloud. In addition, the invention also discloses a system for establishing the three-dimensional live-action model of the transformer substation, the system comprises a processing module, and the processing module operates based on the acquired original pointcloud data of the transformer substation. According to the substation three-dimensional live-action model establishing method, noise interference is effectively suppressed, and accurate extraction and positioning of substation equipment are realized.

Description

technical field [0001] The invention relates to a method and system for building a model, in particular to a method and system for building a real scene model. Background technique [0002] With the further development of geospatial information management system related research in the field of electric power, three-dimensional information visualization of substations, as a technology to achieve more efficient operation and maintenance of substations, has gradually become the focus of research. The reconstruction of the 3D real scene model of the substation is the technical basis of the 3D visualization of the substation, and the high-precision model reconstruction is the key to achieve a clearer and more intuitive 3D visualization effect. At present, the methods of 3D real scene modeling of substation mainly include VRML modeling method, geometric modeling method, and modeling method based on point cloud data. Among them, the modeling accuracy and efficiency of the first t...

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Problems solved by technology

[0003] However, at present, in the existing technology, the modeling method based on point cloud data still has certain shortcomings. For example, the modeling technology of substation equipment based on ground lidar will generate massive point cloud data, and the number of substation cloud obtained by scanning is huge. , and besides electrical equipment point clouds, it also contains ground point clouds and a large number of interference noise point clouds caused by external environmental interference. Therefore, how to quickly and efficiently realize the point The segmentation and extraction of cloud data has become the key to effectively improving the timeliness and engineering application value of this technology

[0004] Although the existing literature research has some attention to this, the relevant research is still in its infancy, and there are certain deficiencies. For example, the applicable objects are limited, and it can only be applied to objects with relatively single shapes and relatively few special shapes. ; or, the method has cumbersome steps and low efficiency; or, the method relies too much on big data processing methods, and cannot maintain relatively high efficiency and accuracy under complex external conditions, which has certain limitations in actual modeling sex

[0005] In addition, it should be pointed out that the 3D point cloud data volume of electrical equipment point cloud data is extremely large, and a piece of equipment may have tens of thousands to hundreds of thousands of points. The automatic extraction and processing of data volume equipment point cloud is recognized by human eyes and manually processed by specific software, which not only requires a lot of manpower and time, but also has low efficiency and processing accuracy

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