近年來三維雷射掃描技術不斷更新，高精度高效能的雷射掃描儀已逐漸商業化應用於土木工程領域，其優點在於能夠快速獲取大量且精度高的空間點雲資訊，因此已逐漸取代傳統土木工程量測技術。然而，在處理大量散亂點雲資訊的應用上，目前較為成熟技術皆屬掃描的點雲資料作結合工作及模型建立上，對於點雲資料再進一步分析應用上仍待專家們持續發展的領域。本研究提出將各項已發展成熟之演算法作整合，建立自動化分析之數值模型，並藉由實驗進行驗證後將其應用於結構健康檢測。本研究核心主要分為兩大類型，分別為「自動化結構損傷識別」及「自動化提取邊界特徵點雲數值模型應用於結構健康檢測」，前者主要透過適應性網格切分點雲區域，透過演算各區域內的特徵值並將其作分類，再將附屬類別做為檢測損傷程度依據;後者主要藉由建立kd-tree提升k個鄰域點搜索上的效率，藉由擬合平面之投影向量關係，識別邊界特徵點雲。除了將提取的邊界點雲應用於結構幾何尺寸辨識外，還結合了邊界特徵線擬合分析演算法以及點雲處理軟體Cloud Compare中的M3C2演算法兩套分析模型作為變位監測應用。結果顯示兩種分析方法與接觸式LVDT位移量測數據彼此誤差皆在容許範圍內，驗證本研究提出整合數值模型分析方法之可行性。

In recent years, three-dimensional laser scanning technology with high precision and high efficiency constantly updated. It has gradually replaced the traditional civil engineering measurement technology. However, currently a large number of mature technologies in the point cloud processing applications belong to the point cloud constraint and modeling. Point cloud data on further analysis and application is currently still waiting for experts in related fields of study of research and development stage. This study establishes of automated numerical model, which integrates various algorithms and verifies by experiment. This study is divided into two major categories namely "Automated identification of structural damage" and "Automatic extraction of boundary characteristic point cloud numerical model to structural health monitoring". The former uses adaptive meshes to divide point clouds, through classifying calculate eigenvalues in each area, and then detect the extent of damage as a subsidiary category basis; the latter mainly by creating kd-tree to enhance the efficiency of the k neighborhood spot search, and by fitting the plane of projection vector relationship, identifying boundary feature point clouds. In addition applied to structural geometry identification, but also a combination of boundary characteristic curve fitting analysis and M3C2 algorithm as displacement monitoring applications. The results showed that both methods and contact data with each other LVDT displacement measurement errors are within the allowable range, to verify the feasibility of the method of analysis in this study the numerical integration of the proposed model.

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