Description of indoor space model with IndoorGML

doi:10.13474/j.cnki.11-2246.2019.0047

Abstract

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.

Key words: multivariate hybrid indoor space model, model description, IndoorGML

CLC Number:

P228
P208

YUAN Debao, YAN Yu, WANG Bingling. Description of indoor space model with IndoorGML[J]. 测绘通报, 2019, 0(2): 76-79,85.

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