This paper presents a technique and method for the rapid digitization of models in the construction phase. Combining existing information about the power line attributes and model libraries, the paper utilizes laser point cloud data to automatically segment tower head, tower body, and tower leg point cloud data through methods such as denoising and clustering. The paper proposes a method that combines model-driven and data-driven approaches to model towers, ultimately achieving automated modeling for the entire section of the power line project in the construction phase. This establishes a more comprehensive data foundation for the operation, monitoring, and analysis of the power line after construction.
No takes yet. Share an insight, caveat, or question.
Huan et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: