引用本文: 孙卫新, 王光霞, 吕晓华, 张锦明, 游天. 基于过渡投影面的室内地图统一数学基础转换方法[J]. 武汉大学学报 ( 信息科学版), 2018, 43(4): 509-515.
SUN Weixin, WANG Guangxia, LV Xiaohua, ZHANG Jinming, YOU Tian. A Method for Indoor Map Unified Mathematical Transformation Based on Transition Projecting Plane[J]. Geomatics and Information Science of Wuhan University, 2018, 43(4): 509-515.
 Citation: SUN Weixin, WANG Guangxia, LV Xiaohua, ZHANG Jinming, YOU Tian. A Method for Indoor Map Unified Mathematical Transformation Based on Transition Projecting Plane[J]. Geomatics and Information Science of Wuhan University, 2018, 43(4): 509-515.

## A Method for Indoor Map Unified Mathematical Transformation Based on Transition Projecting Plane

• 摘要: 室内外统一的地图数学基础是室内外空间数据共享和使用的重要基础，是室内外一体化位置服务的重要保证，并且对于复杂室内及地下空间的安全管理与应急响应具有重要作用。室内地图通常采用自定义局部平面坐标系，造成室内与室外地图以及不同建筑室内地图之间数学基础的不一致。针对此，将地理坐标系作为室内地图统一遵循的数学基础，研究了室内地图从局部平面坐标系到地理坐标系的转换方法。分析了传统地图数学基础转换方法的适用性之后，提出了一种基于过渡投影面的室内地图统一数学基础转换方法。选取某住宅区的实测数据进行了转换试验，结果表明该方法可以显著提高室内地图统一数学基础转换的精度。

Abstract: Unified mathematics basic of indoor and outdoor map is an important foundation for spatial data share and use between indoor and outdoor, and an important guarantee of the indoor and outdoor integrated LBS, which plays an important role in safety management and emergency response in complex indoor and underground space. Indoor map usually uses user-defined local plane coordinate system, which results in contradictions in terms of mathematics basic between indoor and outdoor map, and also among different building's indoor maps. Taking geographical coordinate system as the unified mathematics basic adopted by indoor map spatial data, this paper studied the method for transforming indoor map from local plane coordinate system into geographical coordinate system. Through analysis the applicability of traditional map mathematical transformation methods, this paper proposed a method for indoor map unified mathematical transformation based on transition projecting plane. Choosing a residential area's survey data to perform a transformation experiment, the results show that the method proposed in this paper can improve the accuracy of indoor map mathematical transformation efficiently in contrast to traditional methods.

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