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基于手机拍摄图像的配电网设备现场实时自动三维建模方法
Real-time and On-site Automatic 3D Modeling Method of Distribution Network Equipment Based on Cell Phone Photos
【摘要】 为了解决配电网设备现场实时自动三维建模问题,提出基于手机拍摄照片的配电网设备三维建模方法。该方法的关键技术包括两个方面。一方面,为实现基于拍摄照片的配电网设备尺寸检测,提出了Unet(U-shaped networ)增强算法提取现场拍摄图像中设备轮廓,基于增强直线段检测(line segment detector, LSD)算法获得设备轮廓尺寸,提出了改进K最近邻(K-nearest neighbor, KNN)算法搜索出设备规格尺寸。另一方面,提出了基于数据驱动的快速自动参数化三维建模方法,即以设备规格尺寸作为驱动参数存于MySQL数据库中,通过MySQL数据库链接并驱动3ds Max的MaxScript脚本程序,自动实时完成配电网设备三维建模。以变压器为案例进行了有效性验证,结果表明所提出的方法有效解决了配电网现场人工测量设备尺寸困难以及手动建模效率低的问题,为升级配电网三维可视化管理提供有力的技术支持。
【Abstract】 In order to solve the problem of real-time and on-site automatic 3D modeling of distribution network equipment, a 3D modeling method based on photos of these distribution network equipment taken by cell phone was proposed. Key technologies of the method include two aspects. Firstly, in order to realize the size detection of distribution network equipment based on their photos, a Unet enhanced algorithm was proposed to extract the outline of equipment from their photos, then an enhanced line segment detector(LSD) method was proposed to obtain outline size of the equipment, and an improved K-nearest neighbor(KNN) algorithm was proposed to search the equipment specification size. Secondly, a data-driven fast and automatic parameteric 3D modeling method was proposed, where the equipment specifications and sizes were stored in MySQL database as driving parameters, and the MaxScript script program of 3ds Max was linked and driven by MySQL database to automatically complete the 3D modeling of distribution network equipment in real time. Case study of verification was carried on transformers, and the results showed that the proposed method effectively overcomes the difficulties in on-site manual size measurement and inefficient modeling of distribution network equipment, thus provides strong technical support for upgrading the 3D visual management of distribution network.
【Key words】 3D modeling; enhanced LSD; Unet enhancement algorithm; improved KNN; parametric modeling;
- 【文献出处】 科学技术与工程 ,Science Technology and Engineering , 编辑部邮箱 ,2025年29期
- 【分类号】TP391.41;TM50
- 【下载频次】37