OGC IndoorGML: A Standard Approach for Indoor Maps

Li, Ki-Joune; Conti, Giuseppe; Konstantinidis, Evdokimos I.; Zlatanova, Sisi; Bamidis, Panagiotis D.

doi:10.1016/b978-0-12-813189-3.00010-1

Cited by 25 publications

(18 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3D IndoorGML is an extension of CityGML (level of detail (LoD) 4) that provides semantic, topological, and spatial information of objects and services [ 29 ]. IndoorGML is an open standardized data model of the interior space of 3D buildings and is composed of a core module, an appearance module, and a thematic module [ 30 ]. The main structure of IndoorGML divides an indoor space into multi-spaces called cells.…”

Section: Methodsmentioning

confidence: 99%

“…The main structure of IndoorGML divides an indoor space into multi-spaces called cells. The intersection area of two neighboring cells is called a boundary surface [ 30 ]. IndoorGML uses two dual spaces to model indoor environments: (1) primal space, the geometric representation of a cell space and a cell boundary space; and (2) dual space, the Node Relationship Graph representation of cells and their boundary surfaces, which respectively correspond to nodes and edges ( Figure 2 ).…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

A Local 3D Voronoi-Based Optimization Method for Sensor Network Deployment in Complex Indoor Environments

Afghantoloee

Mostafavi

2021

Sensors

View full text Add to dashboard Cite

Optimal sensor network deployment in built environments for tracking, surveillance, and monitoring of dynamic phenomena is one of the most challenging issues in sensor network design and applications (e.g., people movement). Most of the current methods for sensor network deployment and optimization are empirical and they often result in important coverage gaps in the monitored areas. To overcome these limitations, several optimization methods have been proposed in the recent years. However, most of these methods oversimplify the environment and do not consider the complexity of 3D architectural nature of the built environments specially for indoor applications (e.g., indoor navigation, evacuation, etc.). In this paper, we propose a novel local optimization algorithm based on a 3D Voronoi diagram, which allows a clear definition of the proximity relations between sensors in 3D indoor environments. This proposed structure is integrated with an IndoorGML model to efficiently manage indoor environment components and their relations as well as the sensors in the network. To evaluate the proposed method, we compared our results with the Genetic Algorithm (GA) and the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) algorithms. The results show that the proposed method achieved 98.86% coverage which is comparable to GA and CMA-ES algorithms, while also being about six times more efficient.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

A Local 3D Voronoi-Based Optimization Method for Sensor Network Deployment in Complex Indoor Environments

Afghantoloee

Mostafavi

2021

Sensors

View full text Add to dashboard Cite

show abstract

“…But in these cases, indoor spaces are empty or have a few fixed obstacles (e.g., columns). Standardized data models such as IndoorGML (Diakité et al, 2020; Kang & Li, 2017; Li et al, 2019) provides a solid way to manage the different types of indoor network for distinct space decompositions.…”

Section: Introductionmentioning

confidence: 99%

“…Networks can also be created for different scales (Afyouni et al, 2013). In fact, level of detail (LoD) has been commonly adopted for data modeling in 3D GIS (e.g., using themes of IndoorGML; Kang & Li, 2017; Li et al, 2019). A previous study (Liu & Zlatanova, 2013) presents a two‐level hierarchy approach.…”

Section: Introductionmentioning

confidence: 99%

A spatial data model for accessibility with indoor temporal changes

Liu

Zlatanova

2022

Transactions in GIS

View full text Add to dashboard Cite

Indoor accessibility is often evaluated with the networks extracted from buildings. For instance, circulation networks with depth cost are applied to floor design. A group of data models supports the extraction of indoor networks from buildings, and these networks are widely used to evaluate the accessibility of users. However, the existing cases are mostly devised for static environments, that is, without consideration of dynamic obstacles. This assumption may

show abstract

“…The proposed IoCT was employed to identify and limit the risk pattern of COVID-19 transmission especially within enclosed buildings. The risk of COVID-19 spread inside buildings from person-to-person and person-to-place interactions when taking into consideration different distances, durations, and types of activities (e.g., disinfecting activities) was modelled using the IndoorGML graph data model [ 19 , 20 ]. This research presents the innovative use of the Open Geospatial Consortium ( OGC ) [ 21 ] SensorThings Application Programming Interface (API) [ 22 , 23 ], as well as, the IndoorGML that uses Poincare duality to geo-reference IoT sensor observations for both 3D spaces and Node-Relation graphs in topology space.…”

Section: Introductionmentioning

confidence: 99%

An Interoperable Architecture for the Internet of COVID-19 Things (IoCT) Using Open Geospatial Standards—Case Study: Workplace Reopening

Liang

Saeedi

Ojagh

et al. 2020

Sensors

View full text Add to dashboard Cite

To safely protect workplaces and the workforce during and after the COVID-19 pandemic, a scalable integrated sensing solution is required in order to offer real-time situational awareness and early warnings for decision-makers. However, an information-based solution for industry reopening is ineffective when the necessary operational information is locked up in disparate real-time data silos. There is a lot of ongoing effort to combat the COVID-19 pandemic using different combinations of low-cost, location-based contact tracing, and sensing technologies. These ad hoc Internet of Things (IoT) solutions for COVID-19 were developed using different data models and protocols without an interoperable way to interconnect these heterogeneous systems and exchange data on people and place interactions. This research aims to design and develop an interoperable Internet of COVID-19 Things (IoCT) architecture that is able to exchange, aggregate, and reuse disparate IoT sensor data sources in order for informed decisions to be made after understanding the real-time risks in workplaces based on person-to-place interactions. The IoCT architecture is based on the Sensor Web paradigm that connects various Things, Sensors, and Datastreams with an indoor geospatial data model. This paper presents a study of what, to the best of our knowledge, is the first real-world integrated implementation of the Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) and IndoorGML standards to calculate the risk of COVID-19 online using a workplace reopening case study. The proposed IoCT offers a new open standard-based information model, architecture, methodologies, and software tools that enable the interoperability of disparate COVID-19 monitoring systems with finer spatial-temporal granularity. A workplace cleaning use case was developed in order to demonstrate the capabilities of this proposed IoCT architecture. The implemented IoCT architecture included proximity-based contact tracing, people density sensors, a COVID-19 risky behavior monitoring system, and the contextual building geospatial data.

show abstract

OGC IndoorGML: A Standard Approach for Indoor Maps

Cited by 25 publications

References 7 publications

A Local 3D Voronoi-Based Optimization Method for Sensor Network Deployment in Complex Indoor Environments

A Local 3D Voronoi-Based Optimization Method for Sensor Network Deployment in Complex Indoor Environments

A spatial data model for accessibility with indoor temporal changes

An Interoperable Architecture for the Internet of COVID-19 Things (IoCT) Using Open Geospatial Standards—Case Study: Workplace Reopening

Contact Info

Product

Resources

About