A common-sense based system for Geo-IoT

Cantarero, Ruben; Rubio, Ana; Trapero, Cristian; Santofimia, María J.; Villanueva, Florentina; Villa, David; López, Juan Carlos

doi:10.1016/j.procs.2018.07.301

Cited by 9 publications

(4 citation statements)

References 16 publications

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“…As well as becoming an integral part of complete building lifecycle management including planning, construction and maintenance phases, BIM is expected to play a key role in the deployment of IoT devices in smart buildings [14]. As the number of connected devices increases, around 11 billion IoT devices are expected to be installed in buildings worldwide [1].…”

Section: Related Workmentioning

confidence: 99%

Data Management for Building Information Modelling in a Real-Time Adaptive City Platform

Brazauskas¹,

Verma²,

Safronov³

et al. 2021

Preprint

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Legacy Building Information Modelling (BIM) systems are not designed to process the high-volume, high-velocity data emitted by in-building Internet-of-Things (IoT) sensors. Historical lack of consideration for the real-time nature of such data means that outputs from such BIM systems typically lack the timeliness necessary for enacting decisions as a result of patterns emerging in the sensor data. Similarly, as sensors are increasingly deployed in buildings, antiquated Building Management Systems (BMSs) struggle to maintain functionality as interoperability challenges increase. In combination these motivate the need to fill an important gap in smart buildings research, to enable faster adoption of these technologies, by combining BIM, BMS and sensor data. This paper describes the data architecture of the Adaptive City Platform, designed to address these combined requirements by enabling integrated BIM and real-time sensor data analysis across both time and space. CCS CONCEPTS• Computer systems organization → Real-time system architecture; • Information systems → Information integration.

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Section: Related Workmentioning

confidence: 99%

Data Management for Building Information Modelling in a Real-Time Adaptive City Platform

Brazauskas¹,

Verma²,

Safronov³

et al. 2021

Preprint

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“…IoT-centred solutions are also developed, i.e. a framework for safety management and monitoring in complex environments (Haddad, Bouyahia, & Chaudhry, 2019); "a big data analytics for IoT-enabled manufacturing shop floor" (Kho et al, 2018); "a Physical Internet-enabled decision support system (DSS)" for tracking components and mapping real-time interactions among stakeholders of prefabricated housing construction (Zhong et al, 2015); and a semantic knowledge model for smart buildings using the IndoorGML standard (Rubio et al, 2018).…”

Section: Abstract Analysismentioning

confidence: 99%

BIM and IoT for the AEC Industry: A systematic literature mapping

Fialho

Codinhoto²,

Fabrício

2020

Blucher Design Proceedings

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The AEC industry has been facing a digital transformation for improving services involved in buildings lifecycle, fostered by two disruptive technologies: Building Information Modelling (BIM) and Internet of Things (IoT). However, the literature lacks discussions regarding applications and challenges of BIM and IoT systems in the AEC. This Systematic Literature Mapping addresses this gap through search, analysis, and classification of 75 journal article abstracts published between 2015 and 2019. An increase of articles over the period is observed, predominantly with technical and processual solutions for Construction and Operation and Maintenance. The interoperability of data is a key challenge to organizations.

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“…As shown, this way of representing the different entities and relationships allows great flexibility in the division of the space and in the integration of different types of information. This approach also provides other advantages, such as the possibility of obtaining new information, as can be found in [42]. Another of the advantages offered by IndoorGML is that it incorporates mechanisms that allow reference to objects described in external datasets, such as those already mentioned CityGML or IFC.…”

Section: State-of-the-art For Space Modelingmentioning

confidence: 99%

“…Example of topology, camcorder coverage, and Radio Frequency Identification (RFID) coverage layers of the same building[42].…”

mentioning

confidence: 99%

A Proposal for Modeling Indoor–Outdoor Spaces through IndoorGML, Open Location Code and OpenStreetMap

Cantarero

Rubio

Chaparro

et al. 2020

IJGI

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Traditionally, the standards of spatial modeling are oriented to represent the quantitative information of space. However, in recent years an increasingly common challenge is appearing: flexibly and appropriately integrating quantitative information that goes beyond the purely geometric. This problem has been aggravated due to the success of new paradigms such as the Internet of Things. This adds an additional challenge to the representation of this information due to the need to represent characteristic information of the space from different points of view in a model, such as WiFi coverage, dangerous surroundings, etc. While this problem has already been addressed in indoor spaces with the IndoorGML standard, it remains to be solved in outdoor and indoor–outdoor spaces. We propose to take the advantages proposed in IndoorGML, such as cellular space or multi-layered space model representation, to outdoor spaces in order to create indoor–outdoor models that enable the integration of heterogeneous information that represents different aspects of space. We also propose an approach that gives more flexibility in spatial representation through the integration of standards such as OpenLocationCode for the division of space. Further, we suggest a procedure to enrich the resulting model through the information available in OpenStreetMap.

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A common-sense based system for Geo-IoT

Cited by 9 publications

References 16 publications

Data Management for Building Information Modelling in a Real-Time Adaptive City Platform

Data Management for Building Information Modelling in a Real-Time Adaptive City Platform

BIM and IoT for the AEC Industry: A systematic literature mapping

A Proposal for Modeling Indoor–Outdoor Spaces through IndoorGML, Open Location Code and OpenStreetMap

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