IndoorGML室内空间模型描述
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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。
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.
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.
引文
[1]汪娜.面向室内空间的时空数据管理关键技术研究[D].合肥:中国科学技术大学,2014.
[2]朱庆,熊庆,赵君峤.室内位置信息模型与智能位置服务[J].测绘地理信息,2014,39(5):1-7.
[3]李佩瑶,汤圣君,刘铭崴,等.面向导航的IFC建筑模型室内空间信息提取方法[J].地理信息世界,2015,22(6):78-84.
[4]苏松,胡引翠,卢光耀,等.低功耗蓝牙手机终端室内定位方法[J].测绘通报,2015(12):81-84.
[5]史永.空间场景约束的室内定位方法研究[D].南京:南京师范大学,2016.
[6]许华燕,李志辉,王金月.室内地图应用现状及展望[J].测绘通报,2014(9):119-121.
[7]李敬雯,刘宇雷,秦小麟.一个情境相关的双层室内空间数据模型[J].计算机科学,2017,44(8):187-192.
[8]张俪文,汪云甲,王行风.仿射传播聚类在室内定位指纹库中的应用研究[J].测绘通报,2014(12):36-39.
[9]周嘉艺,林志勇,石勇龙,等.基于空间语义的室内导航应用模型研究[J].地理空间信息,2017,15(6):10-13.
[10]张寅宝.基于建筑信息模型的室内空间基础数据提取方法[J].地理空间信息,2015,13(5):92-93,96.
[11]崔斌,赵西安.一种基于传播模型和位置指纹的混合室内定位方法[J].测绘通报,2015(6):35-38.
[12]JUNG H,LEE J.Indoor subspacing to implement Indoor GML for indoor navigation[J].The International Archives of the Photogrammetry,Remote Sensing and Spatial Information Sciences,2015,XL-2/W4:25-27.
[13]庄莹,黄丽娜,郑恒杰,等.二维码定位技术支持下的室内导航电子地图的设计与实现---以武汉大学图书馆为例[J].测绘通报,2017(5):125-128.
[14]李千元.面向室内空间的语义约束导航查询研究[D].合肥:中国科学技术大学,2014.
[15]林雕,宋国民,贾奋励.面向位置服务的室内空间模型研究进展[J].导航定位学报,2014,2(4):17-21.
[16]张寅宝,张威巍,张欣.建筑物室内空间建模研究综述[J].地理信息世界,2014,21(5):7-12.
[17]金培权,汪娜,张晓翔,等.面向室内空间的移动对象数据管理[J].计算机学报,2015,38(9):1777-1795.
[18]叶梦轩.基于City GML的室内导航网络自动生成方法研究[D].北京:北京建筑大学,2017.
[19]赵磊,金培权,张蓝蓝,等.Layered Model:一个面向室内空间的移动对象数据模型[J].计算机研究与发展,2011,48(S3):274-281.
[20]虞铭尧,庞浩宇,WARDLE E.LOD2和LOD3细节层次下IFC至City GML的模型转换[J].扬州大学学报(自然科学版),2017,20(3):26-30.
[21]WORBOYS M.Modeling indoor space[C]∥ACM Sigspatial International Workshop on Indoor Spatioll Awareness.[S.l.]:ACM,2011:1-6.
[22]JOUNE L K.IndoorGML:a standard for indoor spatial modeling[J].The International Archives of the Photogrammetry,Remote Sensing and Spatial Information Sciences,2016,XLI-B4:701-704.
[23]ZLATANOVE S,OOSTEROM P J M,LEE J.LADMand Indoor GML for support of indoor space identification[J].ISPRS Annals of the Photogrammetry Remote Sensing and Spatial Information Sciences,2016,IV-2/W1:257-263.
[2]朱庆,熊庆,赵君峤.室内位置信息模型与智能位置服务[J].测绘地理信息,2014,39(5):1-7.
[3]李佩瑶,汤圣君,刘铭崴,等.面向导航的IFC建筑模型室内空间信息提取方法[J].地理信息世界,2015,22(6):78-84.
[4]苏松,胡引翠,卢光耀,等.低功耗蓝牙手机终端室内定位方法[J].测绘通报,2015(12):81-84.
[5]史永.空间场景约束的室内定位方法研究[D].南京:南京师范大学,2016.
[6]许华燕,李志辉,王金月.室内地图应用现状及展望[J].测绘通报,2014(9):119-121.
[7]李敬雯,刘宇雷,秦小麟.一个情境相关的双层室内空间数据模型[J].计算机科学,2017,44(8):187-192.
[8]张俪文,汪云甲,王行风.仿射传播聚类在室内定位指纹库中的应用研究[J].测绘通报,2014(12):36-39.
[9]周嘉艺,林志勇,石勇龙,等.基于空间语义的室内导航应用模型研究[J].地理空间信息,2017,15(6):10-13.
[10]张寅宝.基于建筑信息模型的室内空间基础数据提取方法[J].地理空间信息,2015,13(5):92-93,96.
[11]崔斌,赵西安.一种基于传播模型和位置指纹的混合室内定位方法[J].测绘通报,2015(6):35-38.
[12]JUNG H,LEE J.Indoor subspacing to implement Indoor GML for indoor navigation[J].The International Archives of the Photogrammetry,Remote Sensing and Spatial Information Sciences,2015,XL-2/W4:25-27.
[13]庄莹,黄丽娜,郑恒杰,等.二维码定位技术支持下的室内导航电子地图的设计与实现---以武汉大学图书馆为例[J].测绘通报,2017(5):125-128.
[14]李千元.面向室内空间的语义约束导航查询研究[D].合肥:中国科学技术大学,2014.
[15]林雕,宋国民,贾奋励.面向位置服务的室内空间模型研究进展[J].导航定位学报,2014,2(4):17-21.
[16]张寅宝,张威巍,张欣.建筑物室内空间建模研究综述[J].地理信息世界,2014,21(5):7-12.
[17]金培权,汪娜,张晓翔,等.面向室内空间的移动对象数据管理[J].计算机学报,2015,38(9):1777-1795.
[18]叶梦轩.基于City GML的室内导航网络自动生成方法研究[D].北京:北京建筑大学,2017.
[19]赵磊,金培权,张蓝蓝,等.Layered Model:一个面向室内空间的移动对象数据模型[J].计算机研究与发展,2011,48(S3):274-281.
[20]虞铭尧,庞浩宇,WARDLE E.LOD2和LOD3细节层次下IFC至City GML的模型转换[J].扬州大学学报(自然科学版),2017,20(3):26-30.
[21]WORBOYS M.Modeling indoor space[C]∥ACM Sigspatial International Workshop on Indoor Spatioll Awareness.[S.l.]:ACM,2011:1-6.
[22]JOUNE L K.IndoorGML:a standard for indoor spatial modeling[J].The International Archives of the Photogrammetry,Remote Sensing and Spatial Information Sciences,2016,XLI-B4:701-704.
[23]ZLATANOVE S,OOSTEROM P J M,LEE J.LADMand Indoor GML for support of indoor space identification[J].ISPRS Annals of the Photogrammetry Remote Sensing and Spatial Information Sciences,2016,IV-2/W1:257-263.