scholarly journals Utilizing a Building Information Modelling Environment to Communicate the Legal Ownership of Internet of Things-Generated Data in Multi-Owned Buildings

Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1258
Author(s):  
Behnam Atazadeh ◽  
Hamed Olfat ◽  
Behzad Rismanchi ◽  
Davood Shojaei ◽  
Abbas Rajabifard

In multi-owned buildings, a community of residents live in their private properties while they use and share communal spaces and facilities. Proper management of multi-owned buildings is underpinned by rules related to health, safety, and security of the residents and visitors. Utilizing Internet of Things (IoT) devices to collect information about the livable space has become a significant trend since the introduction of first smart home appliances back in 2000. The question about who owns the IoT generated data and under what terms it can be shared with others is still unclear. IoT devices, such as security camera and occupancy sensors, can provide safety for their owners, while these devices may capture private data from the neighborhood. In fact, the residents are sometimes not aware of regulations that can prevent them from installing and collecting data from shared spaces that could breach other individuals’ privacy. On the other hand, Building Information Modelling (BIM) provides a rich 3D digital data environment to manage the physical, functional, and ownership aspects of buildings over their entire lifecycle. This study aims to propose a methodology to utilize BIM for defining the legal ownership of the IoT generated data. A case study has been used to discuss key challenges related to the ownership of IoT data in a multi-owned building. This study confirmed that BIM environment can facilitate the understanding of legal ownership of IoT datasets and supports the interpretation of who has the entitlement to use the IoT datasets in multi-owned buildings.

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 155171-155183 ◽  
Author(s):  
Baydaa Hashim Mohammed ◽  
Nurhizam Safie ◽  
Hasimi Sallehuddin ◽  
Afifuddin Husairi Bin Hussain

2021 ◽  
Vol 11 (2) ◽  
pp. 31
Author(s):  
Mina Sadat Orooje ◽  
Mohammad Mehdi Latifi

Latest innovations in Internet of Things (IoT) technologies as well as the new paradigms in Artificial Intelligence systems are opening up opportunities to create smart computing infrastructures for the Healthcare Facility Management. However, the current scenario of hospital buildings maintenance management is strongly characterized by slow, redundant, and not integrated processes, which lead to loss of money, resources, and time. On the other hand, lack of data and information in as-built digital models considerably limits the potential of Building Information Modelling in Facility Maintenance Management. Consequently, optimization of data collection process and management is required. In this light, this paper presents a review of embedding AI (Artificial Intelligence) in BIM-IoT integration for the process of healthcare Facility Maintenance Management (FMM) in order to conquer the current challenges. The first challenge in front of integrating IoT– BIM, is the lack of information; the second challenge is BIM’s sematic information that has not been able to display indoor conditions’ elements which should be reconsidered; and the third challenge is the data size which is stored in systems as well as the eligibility of individuals to apply the related data. Additionally, some emerging trends in IoT are reviewed such as the combination of Machine Learning and Artificial Intelligence in order to exploit their advantages and complement their limitations, which enable new promising IoT applications.


Author(s):  
Mohammad Haniff Baharom ◽  
◽  
Siti Nora Haryati Abdullah Habib ◽  
Syuhaida Ismail ◽  
◽  
...  

Building Information Modelling (BIM) is an emerging technology that provides a platform for a comprehensive digital representation of a facility to be created by integrating data from design conception until demolition. In seeking the optimum use of BIM, a large degree of cooperation and collaboration among multi-disciplinary contributors are required for the digital data exchange and sharing process to be deployed. This situation, however, brings up new issues in delineating liabilities and limitations of contributors as the demarcation line of each contributor becomes unclear. In Malaysia, there is no known BIM-enabled standard form of contract that preserves the intellectual property rights (IPR) of the BIM projects’ contributors. Therefore, the present study attempts to investigate the issues pertaining to IPR in the context of BIM adoption in the construction project. Qualitative methodology involving literature review, analysis of existing IPR provisions and semi-structured interviews with the experts were conducted. The research identified two major issues related to IPR in BIM projects: copyright ownership of the BIM model and data infringement. This paper is substantial to deliver knowledge to the construction industry practitioners regarding the legal and contractual considerations in the adoption of BIM.


2021 ◽  
Vol 11 (7) ◽  
pp. 3062
Author(s):  
Antonino Mannino ◽  
Mario Claudio Dejaco ◽  
Fulvio Re Cecconi

Digitisation of the built environment is seen as a significant factor for innovation in the Architecture, Engineering, Construction and Operation sector. However, lack of data and information in as-built digital models considerably limits the potential of Building Information Modelling in Facility Management. Therefore, optimisation of data collection and management is needed, all the more so now that Industry 4.0 has widened the use of sensors into buildings and infrastructures. A literature review on the two main pillars of digitalisation in construction, Building Information Modelling and Internet of Things, is presented, along with a bibliographic analysis of two citations and abstracts databases focusing on the operations stage. The bibliographic research has been carried out using Web of Science and Scopus databases. The article is aimed at providing a detailed analysis of BIM–IoT integration for Facility Management (FM) process improvements. Issues, opportunities and areas where further research efforts are required are outlined. Finally, four key areas of further research development in FM management have been proposed, focusing on optimising data collection and management.


2020 ◽  
Vol 8 (1) ◽  
pp. 4-17
Author(s):  
Nor Akmal Mohamad ◽  
Madihah Khalid

Building information modelling (BIM) is one of the new technologies being used in architectural and constructions projects. At present, BIM curricula are being taught in many Malaysian higher learning institutions, including at the certificate level in community colleges. Even though many studies have investigated behavioural intention to adopt BIM in the industrial setting, studies on the intention to use BIM among students during their training or learning have not received the same level of attention. This study, therefore, investigated the extent to which community college students are willing to accept and use BIM. Factors that influenced their behavioural intention to use BIM, as well as the relationship between the factors and intention to use were also examined. The Technology Acceptance Model (TAM) was used as the theoretical framework to guide the research, where students’ behavioural intention to use BIM was explained through their perceptions of its usefulness and ease of use, as well as their attitude towards BIM utilization in the classroom. A total of 144 community college students enrolled in the architecture programmes in Malaysia were selected as the sample using convenience sampling. The findings show that the students’ behavioural intention to adopt BIM is high. They also perceive BIM as useful and easy to use, and their attitude towards BIM usage appears to be positive. The regression model produced an adjusted R-squared value of 0.790 indicating that 79% of the total variance in the students’ intention to use BIM can be explained by the three independent variables, i.e., perceived usefulness, ease of use, and attitude. Keywords: Building information modelling, perceived usefulness, perceived ease of use, attitude, intention to use, behavioural intention, Technology Acceptance Model


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