Live Data Visualization of IoT Sensors Using Augmented Reality (AR) and BIM

Natephra, Worawan; Motamedi, Ali

doi:10.22260/isarc2019/0084

Cited by 33 publications

(15 citation statements)

References 9 publications

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“…With the advent of Internet of Things (IoT), which is defined as the interconnection of sensing devices that are able to provide information exchange across different platforms (Gubbi et al 2013), the integration of real-time sensing data and the static information provided by BIM models became possible (Tang et al 2019).With the help of smart devices, visualization and analysis of real-time environmental data become available in BIM models, and automated update of BIM models based on real-time building status was achieved. For example, appropriate integration of BIM and IoT technologies can help with the real-time monitoring of the construction process and building indoor environment status (Lee et al 2016, Dave et al 2018, Natephraa and Motamedib 2019. The basis of the integration of BIM and IoT has led to the emergence of the Digital Twin , Tagliabue et al 2021.…”

Section: Introductionmentioning

confidence: 99%

From BIM to digital twins: a systematic review of the evolution of intelligent building representations in the AEC-FM industry

Deng¹,

Menassa²,

Kamat³

2021

ITcon

188

100

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The widespread adoption of Building Information Modeling (BIM) and the recent emergence of Internet of Things (IoT) applications offer several new insights and decision-making capabilities throughout the life cycle of the built environment. In recent years, the ability of real-time connectivity to online sensors deployed in an environment has led to the emergence of the concept of the Digital Twin of the built environment. Digital Twins aim to achieve synchronization of the real world with a virtual platform for seamless management and control of the construction process, facility management, environment monitoring, and other life cycle processes in the built environment. However, research in Digital Twins for the built environment is still in its nascent stages and there is a need to understand the advances in the underlying enabling technologies and establish a convergent context for ongoing and future research. This paper conducted a systematic review to identify the development of the emerging technologies facilitating the evolution of BIM to Digital Twins in built environment applications. A total of 100 related papers including 23 review papers were selected and reviewed. In order to systematically classify the reviewed studies, the authors developed a five-level ladder categorization system based on the building life cycle to reflect the current state-of-the-art in Digital Twin applications. In each level of this taxonomy, applications were further categorized based on their research domains (e.g., construction process, building energy performance, indoor environment monitoring). In addition, the current state-of-art in technologies enabling Digital Twins was also summarized from the reviewed literature. It was found that most of the prior studies conducted thus far have not fully exploited or realized the envisioned concept of the Digital Twin, and thus classify under the earlier ladder categories. Based on the analysis of the reviewed work and the trends in ongoing research, the authors propose a concept of an advanced Digital Twin for building management as a baseline for further studies.

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Section: Introductionmentioning

confidence: 99%

From BIM to digital twins: a systematic review of the evolution of intelligent building representations in the AEC-FM industry

Deng¹,

Menassa²,

Kamat³

2021

ITcon

188

100

View full text Add to dashboard Cite

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“…However, the other group of authors have been mainly focused on integration of BIM and LCSs to support visualization of live data streams for monitoring various parameters of buildings [210]. An Arduino-based data acquisition system developed by Natephra and Motamedi for real-time monitoring of thermal comfort parameters, such as: indoor temperature, humidity, and light intensity [211]…”

Section: Integration Of Bim and Low-cost Sensorsmentioning

confidence: 99%

“…Number of works addressing integration of BIM and LCS in the Scopus database from 2011 to 2020.However, the other group of authors have been mainly focused on integration of BIM and LCSs to support visualization of live data streams for monitoring various parameters of buildings[210]. An Arduino-based data acquisition system developed by Natephra and Motamedi for real-time monitoring of thermal comfort parameters, such as: indoor temperature, humidity, and light intensity[211]. Desogus et al developed a BIM platform for real-time monitoring of the data (temperature and luminance) coming from low-cost sensors within parametric model of a historical building[212].…”

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confidence: 99%

Application of Low-Cost Sensors for Building Monitoring: A Systematic Literature Review

et al. 2021

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In recent years, many scholars have dedicated their research to the development of low-cost sensors for monitoring of various parameters. Despite their high number of applications, the state of the art related to low-cost sensors in building monitoring has not been addressed. To fill this gap, this article presents a systematic review, following well-established methodology, to analyze the state of the art in two aspects of structural and indoor parameters of buildings, in the SCOPUS database. This analysis allows to illustrate the potential uses of low-cost sensors in the building sector and addresses the scholars the preferred communication protocols and the most common microcontrollers for installation of low-cost monitoring systems. In addition, special attention is paid to describe different areas of the two mentioned fields of building monitoring and the most crucial parameters to be monitored in buildings. Finally, the deficiencies in line with limited number of studies carried out in various fields of building monitoring are overviewed and a series of parameters that ought to be studied in the future are proposed.

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“…An autonomous, self-sufficient IoT mixed reality system was installed to exploit the infrastructure control and data monitoring methods for the water management infrastructure. In another work, Natephra and Motamedi [178] installed markers and an IoT system in an apartment for monitoring indoor comfort-related parameters, such as air temperature, humidity, light level, and thermal comfort. As the mobile device scans a marker, it can acquire real-time data transmitted by the sensors and visualize them as augmented reality content.…”

Section: Iot-basedmentioning

confidence: 99%

Interactions in Augmented and Mixed Reality: An Overview

et al. 2021

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“Interaction” represents a critical term in the augmented and mixed reality ecosystem. Today, in mixed reality environments and applications, interaction occupies the joint space between any combination of humans, physical environment, and computers. Although interaction methods and techniques have been extensively examined in recent decades in the field of human-computer interaction, they still should be reidentified in the context of immersive realities. The latest technological advancements in sensors, processing power and technologies, including the internet of things and the 5G GSM network, led to innovative and advanced input methods and enforced computer environmental perception. For example, ubiquitous sensors under a high-speed GSM network may enhance mobile users’ interactions with physical or virtual objects. As technological advancements emerge, researchers create umbrella terms to define their work, such as multimodal, tangible, and collaborative interactions. However, although they serve their purpose, various naming trends overlap in terminology, diverge in definitions, and lack modality and conceptual framework classifications. This paper presents a modality-based interaction-oriented diagram for researchers to position their work and defines taxonomy ground rules to expand and adjust this diagram when novel interaction approaches emerge.

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Live Data Visualization of IoT Sensors Using Augmented Reality (AR) and BIM

Cited by 33 publications

References 9 publications

From BIM to digital twins: a systematic review of the evolution of intelligent building representations in the AEC-FM industry

From BIM to digital twins: a systematic review of the evolution of intelligent building representations in the AEC-FM industry

Application of Low-Cost Sensors for Building Monitoring: A Systematic Literature Review

Interactions in Augmented and Mixed Reality: An Overview

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