Automating the creation of building information models for existing buildings

Bortoluzzi, Brandon; Efremov, Ivan; Medina, Clarice; Sobieraj, Daniel; McArthur, J.J.

doi:10.1016/j.autcon.2019.102838

Cited by 57 publications

(32 citation statements)

References 28 publications

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“…The nomenclature presented, whether built into the BAS naming conventions for new systems or added to the streamed data during pre-processing, further supports FM-enabled BIM by embedding significant semantic information regarding system and sensor network architecture to each point. For buildings where no BIM readily exists, a lightweight FM-enabled BIM can be rapidly developed (for example, using the approaches presented in (McArthur & Bortoluzzi, 2018;Bortoluzzi, et al, 2019)), and this information can be mapped to the equipment to quickly add the building systems topology.…”

Section: Discussionmentioning

confidence: 99%

BAS Data Streaming for Smart Building Analytics

Misic¹,

Gilani²,

McArthur³

2020

CIB W78 Proceedings

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Many existing and new buildings are equipped with building automation system (BAS). BAS-integrated sensors continuously monitor environmental conditions, energy use, HVAC and lighting systems, and occupancy in buildings, collecting vast amounts of data that can be of great value for building performance optimization from both the energy use and occupant comfort perspectives. However, the heterogeneity and volume of these data pose significant barriers to their use. For the effective analysis of the collected BAS data to facilitate actionable use of them and support smart buildings, advanced analytics methods such as artificial intelligence should be deployed in real time or near real time, requiring a coherent data management strategy (streaming, pre-processing, and structuring) and integration with advanced analytics techniques. A case study whereby BAS data are collected in an academic building in Toronto, Canada, is streamed to a cloud-hosted research platform Using the BACnet software, data acquired by various sensors are collected by a BAS and streamed as tuples through a Virtual Private Network (VPN) to the cloud using Transmission Control Protocol/Internet Protocol (TCP/IP) packet messages to ensure information security. The destination of the information was an ElasticSearch (ES) cluster, which is also used as a search and analytics engine on the back end. The data streaming, pre-processing, and structuring into an ontology to support facility management and complex event processing is described in this paper along with insight regarding the stakeholder planned uses and expected benefits.

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Section: Discussionmentioning

confidence: 99%

BAS Data Streaming for Smart Building Analytics

Misic¹,

Gilani²,

McArthur³

2020

CIB W78 Proceedings

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“…Moreover, considering risk actions in the FMM process is useful for maintenance policy which can be controlled through BIM and AR [ 87 ]. Many studies focused on healthcare facility management with some technologies such as AR or using 2D plans for creating BIM models and energy simulation which needs more examination related to modeling curved surfaces and envelope geometry [ 88 , 89 , 90 , 91 , 92 , 93 ]. Recently, the purpose of time-saving during the FM process for healthcare facilities, attracted scientists to utilize an algorithm through Natural Language Processing (NLP) to reduce human management problems [ 94 ].…”

Section: Content Analysismentioning

confidence: 99%

Application of Building Information Modelling (BIM) in the Health Monitoring and Maintenance Process: A Systematic Review

Panah

Kioumarsi

2021

Sensors

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Improvements in the science of health monitoring and maintenance have facilitated the observation of damage and defects in existing structures and infrastructures, such as bridges and railways. The need to extend sensing technology through the use of wireless sensors as well as the lack of description tools for understanding, visualizing, and documenting sensor outputs has encouraged researchers to use powerful tools such as Building Information Modelling (BIM) systems. BIM has become important because of conducting tools widely used in the Architecture, Engineering, and Construction (AEC) industry to present and manage information on structural systems and situations. Since combining health monitoring and maintenance results with BIM models is a new field of study, and most projects utilize various aspects of it, we have conducted a review of important work related to this subject published from 2010 to November of 2020. After reviewing 278 journal articles, research trends, approaches, methods, gaps, and future agenda related to BIM in monitoring and maintenance were highlighted. This paper, through a bibliometric and content analysis, concludes that besides main improvements, some limitations now exist which affect the modeling and maintenance process. These limitations are related to extending the IFC schema, optimizing sensor data, interoperability among various BIM platforms, optimization of various sensing technologies for fault detection and management of huge amounts of data, besides consideration of environmental effects on monitoring hazards and underground objects. Finally, this paper aims to help to solve the mentioned limitation through a comprehensive review of existing research.

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“…Development of VR-based BIM model for FM [45] Development of a BIM-based facility information management framework by using Unified Modeling Language (UML) [46] Development of 3D based space management visual information system for large scale airports [47] Development of schema and transformation rules to query BIM models in SQL database [48] Development of FM software architecture by the integration of BIM, GIS, and FM data [49] Development of API to convert 3D models into a queryable format [50] Development of the Building Handover Information Model (BHIM) framework by integrating BIM and Dynamo [44] The integration of Augmented Reality (AR) with BIM to improve navigation in the facility [51] The integration of AR and FM to retrieve location information [3] Development of a framework to schedule automatically work orders and to find optimal maintenance paths [52] Development of a theoretical framework by combining SCADA system, fault detection system, BIM and building performance analysis simulations for energy management [53] Development of a system that integrates BIM and BAS information automatically with the help of Dynamo/Python. [54] Integration of BIM and data mining methods to discover more energy-efficient building operations [55] Integration of BIM, building energy performance simulations (BEPS), data warehouse and sensors for energy management [56] Development of a semantic web-based FM system for maintenance management [57] Integration of BIM and GIS to overcome tunnel facility management issues such as "numerous staff and equipment, difficult to organize and manage paper document, and real-time monitoring."…”

Section: The Aim Of the Studies Referencesmentioning

confidence: 99%

Lean Management Framework for Healthcare Facilities Integrating BIM, BEPS and Big Data Analytics

2020

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An increase in the usage of information and communication technologies (ICT) and the Internet of Things (IoT) in Facility Management (FM) induces a huge data stack. Even though these data bring opportunities such as cost savings, time savings, increase in user comfort, space optimization, energy savings, inventory management, etc., these data sources cannot be managed and manipulated effectively to increase efficiency at the FM stage. In addition to data management issues, FM practices, or developed solutions, need to be supported with the implementation of lean management philosophy to reveal organizational and managerial wastes. In the literature, some researchers performed studies about awareness about building information modeling (BIM)-FM, and FM-related data management problems in terms of lean philosophy. However, the comprehensive solution for effective FM has not been investigated with the application of lean management philosophy yet. Therefore, this study aims to develop an FM framework for healthcare facilities by considering lean management philosophy since more stable workflow, continuous improvement, and creating more value to customers will help to deliver a more acceptable solution for the FM industry. Within this context, the integration of BIM, Building Energy Performance Simulations, and Big Data Analytics are proposed as a solution. In the study, the Design Science Research (DSR) methodology was followed to develop the FM framework. Depending on the DSR methodology, two scenarios were used to investigate the issue in a real healthcare facility and develop the FM framework. The developed framework was evaluated by four experts, and the revisions of the proposed framework were realized.

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Automating the creation of building information models for existing buildings

Cited by 57 publications

References 28 publications

BAS Data Streaming for Smart Building Analytics

BAS Data Streaming for Smart Building Analytics

Application of Building Information Modelling (BIM) in the Health Monitoring and Maintenance Process: A Systematic Review

Lean Management Framework for Healthcare Facilities Integrating BIM, BEPS and Big Data Analytics

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