BIM-based big data analytic system for healthcare facility management

Demirdöğen, Gökhan; Işık, Zeynep; Arayıcı, Yusuf

doi:10.1016/j.jobe.2022.105713

Cited by 16 publications

(10 citation statements)

References 68 publications

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“…However, both of these have some important limits. First of all, they have limited visualization capabilities, because floor plans and utility drawings are usually maintained in CAD 2D [5]. This causes longer times for the facility manager to identify the exact location of maintenance and the actual configuration of building spaces and components [6].…”

Section: Literature Review 21 Facility Management and Bimmentioning

confidence: 99%

Building Information Modeling and Geographic Information System: Integrated Framework in Support of Facility Management (FM)

Congiu,

Quaquero,

Rubiu

et al. 2024

Buildings

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Currently, the management of public real estate stocks is one of the most challenging activities. In this case, facility management emerges as a strategic but complex discipline that requires a great amount of integrated and structured data and information of heterogeneous origin and nature. Starting from this premise, this paper focuses on how FM discipline can be supported by Building Information Modeling (BIM) and Geographic Information System (GIS) integrated methodologies and tools achieving high levels of effectiveness and efficiency in public building stock management. This led to the definition and development of a framework that mainly takes advantage of open-source tools (e.g., Quantum Geographic Information System—QGIS, and Dynamo) and non-proprietary data exchange formats like the COBie (Construction Operations Building Information Exchange) international standard. This methodological framework is capable of integrating different but strongly complementary tools, data, information, and expert knowledge for a multiscale approach. The methodology presented in this paper does not provide for an integral transfer of BIM data to the GIS platform but leads instead to an effective bidirectional integration between the two informative systems, by properly relating them and allowing for an easy switch from one system database to the other. The findings of experimental applications of the methodological approach to the former Macciotta pediatric hospital, a healthcare building owned by the University of Cagliari, are presented and discussed. Finally, the analysis about potentials and criticalities of the developed methodological framework aims to trigger the widest future development and dissemination of this research.

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Section: Literature Review 21 Facility Management and Bimmentioning

confidence: 99%

Building Information Modeling and Geographic Information System: Integrated Framework in Support of Facility Management (FM)

Congiu,

Quaquero,

Rubiu

et al. 2024

Buildings

View full text Add to dashboard Cite

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“…When the algorithm is trained, the trainer publishes a message to the predictor that the retraining is complete, and the predictor will download the new model. The Hadoop layer stores the data then perform fast data processing and provides efficient management of storage, availability, performance, and scalability (via MapReduce) [13]. − Machine learning: the many apps and databases that host feature data are fetched into Kafka.…”

Section: Proposed Multi-layer Architecturementioning

confidence: 99%

Real-time human activity recognition from smart phone using linear support vector machines

Maaloul¹,

Lejdel²,

Abdelhamid³

2023

TELKOMNIKA

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The recognition of human activity (HAR) the use of cell devices embedded in its exten sively disbursed sensors affords guidance, instructions, and take care of citizens of smart cities. Consequently, it became essential to analyze human every day sports. To examine statistical models of human conduct, synthetic intelligence strategies such as machine studying can be used. Many studies have not studied type overall performance in real-time due to statistics series. To remedy this trouble, this paper proposes a structure primarily based on open supply technology and platforms consisting of Apache Kafka, for messages to flow over the internet, method them and provide shape for existing facts in real-time and formulates the trouble of identifying human pastime by using a smartphone tool as a type hassle using statistics collection by telephone sensors. The proposed version is skilled by some machine learning algorithms. The algorithm that has proven superior and quality results helps a linear vector machines.

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“…Asset management is a key component in Architecture, Engineering and Construction (AEC) domain [43]. Managing assets in 3D is dominated by BIM although several limitations favour 3D GIS for managing assets.…”

Section: D Gis For Risk Assessmentmentioning

confidence: 99%

A review on the GIS usage in spatio-temporal risk assessment in asset management

Syafiq,

Azri

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Risk assessment for asset management is a process to analyse the potential risk that could affect the efficiency of operating assets. An effective risk assessment strategy depends on high-quality data and effective data analysis. To do so, risk assessment should take into consideration the spatial and temporal aspects of risks of physical assets in asset management for a data-driven decision-making. Failure to incorporate the spatial and temporal aspects in risk, when the risk possess spatio-temporal correlation, could lead to a defective estimation of assets risks. GIS can be used to analyse multidimensional information which includes 3D GIS, and spatio-temporal data (2D+t and 3D+t). Due to its superiority in handling multidimensional data, GIS is often a preferable tool to collect, manage, manipulate, and visualize spatio-temporal data to allow an accurate and informed analysis. The aim of this study is to uncover the use of GIS for risk assessment in asset management when spatial and temporal data are concerned. This study conduct a thorough review of previous research to look into the current development of asset management that utilizes a spatio-temporal approach for data collection, analysis, and 3D visualization for risk assessment. At the end of this study, we found that physical assets are affected by risk that possess spatio-temporal correlation. Several GIS techniques for data collection, analysis and visualization are found to provide a more effective analysis for assessing spatio-temporal risks. This paper concludes by providing a workflow that can be used by asset managers to assess risk spatio-temporally based on the findings of this study.

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BIM-based big data analytic system for healthcare facility management

Cited by 16 publications

References 68 publications

Building Information Modeling and Geographic Information System: Integrated Framework in Support of Facility Management (FM)

Building Information Modeling and Geographic Information System: Integrated Framework in Support of Facility Management (FM)

Real-time human activity recognition from smart phone using linear support vector machines

A review on the GIS usage in spatio-temporal risk assessment in asset management

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