應用影像建模建立地下管線數位資料

Application of Image-based Modeling to Establish Digital Data of Underground Pipelines

10.6574/JPRS.202106_26(2).0004

李宗祐(Tzung-You Lee)；楊明德(Ming-Der Yang)

影像建模 ； 運動結構回復 ； 地下管線資料 ； Image-based Modeling ； Structure from Motion ； Underground Pipeline Data

航測及遙測學刊

26卷2期（2021 / 06 / 01）

117 - 126

繁體中文

地下管線資料管理流程分為外業資料取得及內業資料處理，傳統方式於外業會於現地繪製施工現場竣工圖，資料較片面零碎。利用攝影測量技術建立三維模型，可紀錄現地鉅細靡遺資訊且可獨立完成。內業資料處理需要大量人力進行資料輸入並反覆檢核，以避免造成資料錯誤。本文採用python/GDAL開發一套數位管線資料建置流程，利用一般攝影器材獲得影像並建立三維模型，於模型中進行數化及屬性資料建置，依使用者選定之設施物類別自動建立相對應欄位並自動檢核，包含基本輸入規則及邏輯性檢核，輔助改善管線資料管理方式，僅需1或2人即可完成，可達省時、省工之數位化地下管線管理流程。

The data management process of underground pipeline is divided into field data acquisition and data processing. Traditionally, the engineers at the construction site make on-site as-built drawings of the construction, and the built data is fragmented. The use of photogrammetry technology to create a three-dimensional model can record the details of the construction site more completely and independently. In-house data processing requires a lot of manpower for data input and repeated checks to avoid data errors. This paper uses python/GDAL to develop a set of digital pipeline data construction process through general photographic equipment to obtain images to build a three-dimensional model, digitizes and builds attribute data in the model, and automatically creates a correspondence according to the type of facility selected by the user. The field data can be automatically checked, including basic input rules and logical checks, to assist in improving the pipeline data management. Only one or two engineers are needed to complete the work so to achieve a time-saving and labor-saving digital underground pipeline management process.

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