Integration of BIM and Utility Sensor Data for Facilities Management

Suprabhas, K

doi:10.1061/9780784480823.004

Cited by 23 publications

(17 citation statements)

References 17 publications

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“…Table 4 summarizes the overview of the studies in Level 3 with different research domains. Nakama et al 2015, Riaz et al 2015, Tomasi et al 2015, Pasini et al 2016, Suprabhas and Dib 2017, Kang et al 2018, Sava et al 2018, Zhong et al 2018, Atazadeh et al 2019, Ignatov and Gade 2019, Rashid et al 2019, Zhao et al 2019 Indoor Thermal Comfort Chang et al 2018, Ioannou et al 2018, Pasini 2018 Space Management Fang et al 2016, Teizer et al 2017, Ferreira et al 2018, Gong et al 2018, Ha et al 2018, Asadi et al 2019, Mahmood et al 2020 Hazards…”

Section: Level 3: Integration Of Bim and Iot Techniquesmentioning

confidence: 99%

“…For example, Marzouk and Abdelaty (2014) integrated wireless sensor networks (WSN) with BIM to monitor temperature and humidity levels in subways. Suprabhas and Dib (2017) also developed an application that integrated WSN with BIM through construction operations building information exchange (COBIE), aiming for better facility management. Zhong et al (2018) presented an ontology-based framework for compliance checking and monitoring by collecting heterogeneous data using sensors and BIM techniques.…”

Section: Indoor Environment Monitoringmentioning

confidence: 99%

See 1 more Smart Citation

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

192

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: Level 3: Integration Of Bim and Iot Techniquesmentioning

confidence: 99%

Section: Indoor Environment Monitoringmentioning

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

192

100

View full text Add to dashboard Cite

show abstract

“…Sensors and tags are gaining popularity in O&M to aid in the creation of a 'dynamic' and 'intelligent' asset management environment. Tags (e.g., QR code, RFID) and sensors connect scattered assets into an integrated unit, and further support real-time data collection and storage [27,28,29,30]. Network (i.e., web-based) technology can provide remote connections to different data resources and cloud-based services for different platforms [31].…”

Section: Current Research On Daily Oandm Managementmentioning

confidence: 99%

Digital twin-enabled anomaly detection for built asset monitoring in operation and maintenance

Xie

Parlikad

et al. 2020

Automation in Construction

289

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Assets play a significant role in delivering the functionality and serviceability of the building sector. However, there is a lack of efficient strategies and comprehensive approaches for managing assets and their associated data that can help to monitor, detect, record, and communicate operation and maintenance (O&M) issues. With the importance of Digital Twin (DT) concepts being proved in the architecture, engineering, construction and facility management (AEC/FM) sectors, a DT-enabled anomaly detection system for asset monitoring and its data integration method based on extended industry foundation classes (IFC) in daily O&M management are provided in this study. Following the designed IFC-based data structure, a set of monitoring data that carries diagnostic information on the operational condition of assets can be extracted from building DTs firstly. Considering that assets run under changing loads determined by human demands, a Bayesian change point detection methodology that handles the contextual features of operational data is adopted to identify and filter contextural anomalies through cross-referencing with external operation information. Using the centrifugal pumps in the heating, ventilation and air-cooling (HVAC) system as a case study, the results indicate and prove that the developed novel DT-based anomaly detection process flow realizes a continuous anomaly detection of pumps, which contributes to efficient and automated asset monitoring in O&M. Finally, future challenges and opportunities using dynamic DTs for O&M purposes are discussed.

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“…Chen et al 24 Structure temperature monitoring Natephra et al 25 Thermal performance evaluating Suprabhas 26 Facility management, including temperature, lighting, etc. Woo and Gleason 27 Building energy consumption benchmarking Ploennigs et al 28 Thermal performance monitoring Mousa et al 29 Carbon emission monitoring Delgado et al 30 Structural health monitoring Sensor data are stored in external database and maintain linkage with BIM model Riaz et al 31 Construction safety monitoring Jeong et al 32 Bridge health monitoring Voss and Overend 33 Glass-pane manufacturing Dong et al 34 Building energy fault detection and diagnostics Wu et al 35 Data center power management Howell et al 36 Urban smart water management Develop an ontology-based semantic web BIM: building information model; IFC: Industry Foundation Class.…”

Section: Application Integration Strategymentioning

confidence: 99%

Building information modeling–based cyber-physical platform for building performance monitoring

Zhang

Kang

Lin

et al. 2020

International Journal of Distributed Sensor Networks

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Building performance management requires massive data input; however, the relevant data are separated and heterogeneous; thus, it prevents a comprehensive building performance management. Building information modeling brings a new way to capture rich information of a building, and has great potential in data interoperability for building performance management. This article presents a scalable building information modeling–based cyber-physical platform for building performance monitoring to integrate heterogeneous data from different buildings. A smart sensor network based on Arduino and standard protocol is installed for data sensing and collection. A building information modeling–based sensing information model integrating heterogeneous data in a unified structure is proposed, and a scalable NoSQL database is established to store data in a cloud environment. A series of RESTful web services is developed to share data for building performance management applications. The proposed platform is developed taking the advantage of horizontal scalability of NoSQL database, and the data schema and services are generated automatically based on the unified data model. The platform has collected data from 77 buildings in China, and the results of a case study show the platform brings a new paradigm in collecting, storing, integrating, and sharing of sensor data and building information for building performance monitoring and analytics.

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Integration of BIM and Utility Sensor Data for Facilities Management

Cited by 23 publications

References 17 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

Digital twin-enabled anomaly detection for built asset monitoring in operation and maintenance

Building information modeling–based cyber-physical platform for building performance monitoring

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