GNSS Determination of Road Elevation Information Required for 3D Pipeline Reduction

In the process of 3D pipeline data, the original field measured pipeline burial depth needs to be worked with road elevation information, usually provided by Digital Elevation Model (DEM), in order to obtain the absolute pipeline height, formation system. This study uses Global Navigation Satellite System (GNSS) data recording and Post Processing Kinematic (PPK) method to compute the time series coordinates along the road, as based on vehicle platform According to the average performance of the test roads, the GNSS data missing rate is about 6%, the success rate, obtaining a fixed solution of PPK, is about 97%, and the plane and vertical precision of coordinates are about 2 cm and 4 cm, respectively. When the Artificial Neural Network (ANN) is applied to complement the coordinates of missing points, the elevation information can still conform to a fitting error of less than 4 cm. The accuracy of the GNSS determinations, checked by precise leveling, is better than 10 cm, which is superior to the road elevation information with an estimated error of about 60 cm, as provided by the 5 m grid DEM normally used in Taiwan's 3D pipeline system.

關鍵字

Global Navigation Satellite System (GNSS) ； Post Processing Kinematic (PPK) ； 3D pipeline system ； road elevation information

並列摘要

在3D管線資料建置過程中，原始量測之管線深度資料，便需配合使用由數值高程模型（DEM）所提供之道路高程資訊，以取得管線高程值。本研究採車載GNSS資料與後處理動態定位（PPK）模式，進行道路資料解算。由測試道路之表現可知，GNSS漏測率約為6%，PPK取得固定解的成功率約為97%，坐標成果的平面與高程内部精度分別約為2 cm與4 cm。當運用類神經網路（ANN）進行缺漏點坐標增補，其高程仍可符合小於4 cm誤差。透過精密水準進行檢核可知，GNSS外部精度優於10cm，可優於我國3D管線系統慣採5米網格DEM所提供約60cm誤差之道路高程資訊。

並列關鍵字

全球導航衛星系統；後處理動態定位；三維管線系統；道路高程資訊

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