scholarly journals Towards an integrated approach of building-data management through the convergence of Building Information Modelling and Internet of Things

2019 ◽  
Vol 1343 ◽  
pp. 012135 ◽  
Author(s):  
Matthieu Jourdan ◽  
Florian Meyer ◽  
Jean-Philippe Bacher
Keyword(s):  
Internet Of Things ◽  
Data Management ◽  
Integrated Approach ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Building Information

scholarly journals Attributes That Determine the Building Information Modelling Capability Maturity of Quantity Surveying Practice

2020 ◽  
Vol 312 ◽  
pp. 02002
Author(s):  
Abdul-Majeed Mahamadu ◽  
Lamine Mahdjoubi ◽  
Patrick Manu ◽  
Clinton Aigbavboa
Keyword(s):  
Data Management ◽  
Construction Projects ◽  
Group Discussion ◽  
Cost Savings ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Capability Maturity ◽  
Efficient Management ◽  
Building Information

With more than 80% of all construction projects overrunning their budget, there is a need for more efficient management of the estimated 10% of Gross Domestic Product (GDP) that is expended annually on construction across the world. It has been proposed that better information and data management through Building Information Modelling (BIM) will lead to cost savings and greater predictability. Notwithstanding the role of quantity surveyors (QS) in modelling and managing construction cost, they remain among the least capable of assimilating BIM into their existing traditional processes. Despite the increasing need for BIM capability assessments for projects, there remains, no tool specifically developed for assessing QS firm’s BIM utilisation capacity or performance. As a result, it is unclear the attributes that indicate BIM capability of QS firms as well as QS practices on projects. This study sought to address this through a review of BIM capability assessment frameworks in order to ascertain their suitability for QS practices. An expert focus group discussion was then used to identify peculiar attributes suitable for QS BIM capability assessment as a precursor to the development of a comprehensive model of QS BIM capability maturity. Findings reveal that most QS BIM capability attributes relate to processes including criteria for effective information definition and data management such that they are consistent with QS measurement standards. The BIM competence of staff also emerged as one of the key attributes highlighting the need for QSs to improve their knowledge, skills and experience in the application of BIM amidst current low levels of adoption. The proposed attributes would assist the development of performance and maturity indicators that would help QS firms better understand their own capability as well as the requirements for delivering costing services through BIM on projects.

scholarly journals Building Information Modelling (BIM) for Facility Management (FM): Industry Survey of Building Assets

2019 ◽  
Vol 3 (1) ◽  
pp. 18-26 ◽  
Author(s):  
Brandi Williams ◽  
Brian Haines ◽  
Kathy Roper ◽  
Eunhwa Yang
Keyword(s):  
Data Management ◽  
Asset Management ◽  
Current Practice ◽  
Management Strategies ◽  
Facility Management ◽  
Future Research ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Industry Standards ◽  
Building Information

ABSTRACT The purpose of this paper is to discover the current methods that facility managers use to manage and track assets and identify a set of attributes for Building Information Modelling (BIM) that can improve the efficiency of the current facility management (FM) practice. A survey of over 100 facility management professionals addressed demographics such as industry sector, number of buildings managed, and use of industry standards or internally developed guidelines for data management. This information is correlated with their current asset management strategies to identify minimum sets of attributes that may be used for an FM-specific BIM. In addition, the survey asked the FM professionals their opinion on the importance of specific asset attributes and data management information that could be included in a BIM for FM. The findings of this paper indicate that there is a consensus on basic information (asset type, unique identification, manufacturer, model number, serial number) needed for asset management, and that there is no generally accepted system on how this is done in current practice. FM professionals and software providers may use the information in this paper to establish baseline sets of data to include in BIM during the design phase of projects. This paper provides insight and data as to the current practice of asset management by facility managers. Understanding the actual needs of the FM industry will assist in future research to implement BIM for FM.

scholarly journals Exploring the Barriers and Driving Factors in Implementing Building Information Modelling (BIM) in the Malaysian Construction Industry: A Preliminary Study

2014 ◽  
Vol 75 (1) ◽  
Author(s):  
Zahrizan Zakari ◽  
Nasly Mohamed Ali Ali ◽  
Ahmad Tarmizi Haron ◽  
Amanda Marshall Ponting ◽  
Zuhairi Abd. Hamid
Keyword(s):  
Construction Industry ◽  
Construction Projects ◽  
Integrated Approach ◽  
Driving Factors ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Building Information ◽  
Preliminary Study ◽  
The Government ◽  
The Many

In Malaysia, Building Information Modelling (BIM) has recently gained attraction from construction players and some of them have applied it to several projects. By utilising the BIM process, the construction players have the opportunity to plan, coordinate and design in an integrated approach. This is one of the many benefits that they could gain and resulting in increased productivity. Despite these benefits, the implementation of BIM in the Malaysian construction industry is still lagging behind Singapore, for instance. Thus, it warrants a study such as the present to determine what are the actual barriers that hamper its implementation and what are the driving factors that could enhance its pace of implementation in the Malaysian construction industry. In this study, a questionnaire survey based on Convenience Sampling Method was carried out to gather the possible barriers and driving factors for BIM implementation among the Malaysian construction players. Additionally, Relative Importance Indices (RII) were used to analyse the data obtained and to identify those barriers and driving factors for the implementation of BIM in this country. Consequently, results of this study revealed that the main barriers for implementing the BIM are: 1) Lack of knowledge about BIM, 2) Reluctance and/or no insistence shown by the Malaysian construction industry players (Clients, Contractors and Consultants alike) on the use or implementation of BIM. The driving factors, on the other hand, that could lead to the speeding up of the implementation of BIM are: 1) Support and enforcing the implementation of BIM by the Government, 2) promote BIM training program and 3) Initiatives of senior management of the related industry players. In conclusion, for successful wide spread application of BIM in Malaysia, a good push from the government alone is far from enough. All other construction industry players mentioned must assume their roles well in promoting the use of BIM in their construction projects.

scholarly journals Building Information Modelling (BIM) and the Internet-of-Things (IoT): A Systematic Mapping Study

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 155171-155183 ◽  
Author(s):  
Baydaa Hashim Mohammed ◽  
Nurhizam Safie ◽  
Hasimi Sallehuddin ◽  
Afifuddin Husairi Bin Hussain
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Systematic Mapping Study ◽  
Mapping Study ◽  
Systematic Mapping ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Building Information ◽  
The Internet Of Things

scholarly journals A Review of Embedding Artificial Intelligence in Internet of Things and Building Information Modelling for Healthcare Facility Maintenance Management

2021 ◽  
Vol 11 (2) ◽  
pp. 31
Author(s):  
Mina Sadat Orooje ◽  
Mohammad Mehdi Latifi
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Healthcare Facility ◽  
Facility Management ◽  
Maintenance Management ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Related Data ◽  
Building Information ◽  
Facility Maintenance

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.

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
Keyword(s):  
Internet Of Things ◽  
Digital Data ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Shared Spaces ◽  
Private Data ◽  
Building Information ◽  
Modelling Environment ◽  
Iot Devices ◽  
Smart Home Appliances

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.

The Adoption of Building Information Modelling and Intelligent Contract to Payment Process in Malaysian Conventional Contract

2020 ◽  
Vol 17 (2) ◽  
pp. 1378-1387
Author(s):  
Rozana Mohamed Salleh ◽  
Nur Emma Mustaffa ◽  
Nafisah Abdul Rahiman
Keyword(s):  
Construction Industry ◽  
Integrated Approach ◽  
Project Performance ◽  
Third Party ◽  
Management Systems ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Project Completion ◽  
Building Information ◽  
Audit Trails

Payment conflicts are never ending issue in Malaysian construction industry. This issue is a common scenario especially in public work project, which involves a conventional contract. The late payment and non-payment occur due to client inefficient payment administration caused by documentation and human factors. It commonly ended up causing delays in project completion. However, the revolution of Information Technology (IT) within construction industry has shown the development of various management systems, which transformed the way projects are administered. The introduction of Building Information Modelling (BIM) is one of the project management systems, which have been created to centralised knowledge sharing resource as an effective collaborative and integrated approach between inter-disciplines in construction industry. The development of digital technology of Intelligent Contracts brings great potential in BIM management to automate the contractual process and thus create possible solutions towards payment conflicts in the construction project. This paper discusses the process of payment in the conventional contractual procedure, which relate to the causes of delay in payment. It is believed that by integrating BIM and Intelligent Contract’s attributes may help to eliminate the unnecessary procedure, which prolong the payment processes. Therefore, this study is carried out to explore what are the effects of adopting BIM and Intelligent Contracts attributes in conventional payment process. This is a descriptive study and the methodology used is essentially on review of the literature in relation to payment processes in conventional contract, BIM management system and attributes of Intelligent Contract. The analysis revealed that the adoption of BIM and Intelligent Contracts attributes in payment conventional process could improve the efficiency; reduce the time by eliminating third party interference and manual signatory. In addition, the project performance is analysed intelligently as well as minimise the risks of losing information by keeping historical audit trails in automatic system repository.

scholarly journals Building Information Modelling and Internet of Things Integration for Facility Management—Literature Review and Future Needs

2021 ◽  
Vol 11 (7) ◽  
pp. 3062
Author(s):  
Antonino Mannino ◽  
Mario Claudio Dejaco ◽  
Fulvio Re Cecconi
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Literature Review ◽  
Facility Management ◽  
Building Information Modelling ◽  
Engineering Construction ◽  
Information Modelling ◽  
Process Improvements ◽  
Building Information ◽  
Collection And Management

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.

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