【摘要】 室内空间数据模型的表达能力是影响室内位置服务的关键因素,在进行室内空间位置服务之前,需要建立能够表达室内空间复杂特征的模型。针对这一需求,本文提出了一种多元混合室内空间模型,该模型基于传统的对象特征模型、几何空间模型和符号空间模型,通过其表达的几何和拓扑特征的优化组合来实现,可充分表达室内位置和目标间的连通关系,满足室内位置服务需求。针对大量应用程序需要相同的数据模型进行导航分析和信息交换,本文提出了一种使用IndoorGML描述室内空间模型的方法,该方法可实现室内空间模型信息在各设备端的共享。以北京某大型商场为例,建立了多元混合空间模型并使用IndoorGML对其进行描述,最后通过两目标间路径分析证明本文方法的应用价值。更多还原

【Abstract】 The expression of the indoor spatial model is a key factor affecting the indoor location service.Before conducting the indoor spatial location service,it is necessary to establish a model that can express the complex features of the indoor space.Therefore,this paper proposes a multivariate hybrid indoor space model based on the traditional object feature model,geometric space model and symbol space model.The multivariate hybrid indoor space model is achieved through an optimal combination of the geometric and topological features expressed,which can fully express the connectivity relationship between indoor location and target,and meet the needs of indoor location service.For a large number of applications that need the same model for navigation analysis and information exchange,this paper proposes a method to describe the indoor space model using IndoorGML.This method can achieve the sharing of indoor space model information on each device side.Taking a large shopping mall in Beijing as an example,a multivariate hybrid space model of the mall was established and described using IndoorGML.Finally,the application of the proposed method was proved by the analysis of the path between two objects.更多还原