An application framework for development of a maintenance management system based on building information modeling and radio-frequency identification: case study of a stadium building

2020 ◽  
Vol 47 (6) ◽  
pp. 736-748
Author(s):  
Mohsen Kameli ◽  
Javad Majrouhi Sardroud ◽  
Mojtaba Hosseinalipour ◽  
Manuchehr Behruyan ◽  
Syed M. Ahmed
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Information Needs ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Maintenance Management ◽  
Building Information ◽  
Facility Maintenance ◽  
Frequency Identification

Identifying, tracking, controlling, and managing facilities and the associated problems are critical tasks in facility management. In addition, the facility maintenance information needs to be constantly updated, which leads to an extra workload for staff using paper and two-dimensional drawings. To overcome these challenges, a system based on building information modeling (BIM) and radio-frequency identification (RFID) is developed for managing and maintaining facilities. The proposed system simultaneously connects the BIM model using industry foundation class (IFC) data structures, the facility maintenance database, and the RFID reader and shows the accessible data through the internet on a handheld screen. This approach provides a general framework for maintenance information management of building facilities. The framework invokes the proposed system to be for preventive maintenance and the reports based on it. The system is implemented in the case study of the building maintenance of a soccer stadium to validate the proposed system and demonstrate the system’s effectiveness for maintenance management.

scholarly journals Visualization of Component Status Information of Prefabricated Concrete Building Based on Building Information Modeling and Radio Frequency Identification: A Case Study in China

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Guofeng Ma ◽  
Jun Jiang ◽  
Shanshan Shang
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Building Information Modeling ◽  
Economic Benefits ◽  
Information Modeling ◽  
Design Stage ◽  
State Information ◽  
Concrete Building ◽  
Building Information ◽  
Frequency Identification

In view of the problems such as the basic properties, usage, and location of prefabricated concrete building components, which are easy to be omitted, missed, and difficult to query in the field management, this study introduces building information modeling (BIM) and radio frequency identification (RFID) technologies to visualize the state information of prefabricated concrete components, such as component type, manufacturer, location, and temperature. In the design stage, a new RFID family can be built in the actual model in order to solve the lack of definition of RFID family through the Industry Foundation Class (IFC) standard, and the databases of BIM and RFID can be connected with C# language, realizing the effective integration of the two engineering technologies. In the application stage, through the secondary development of Revit, the information connection between PC terminal and RFID equipment is completed, and the component data collected by RFID tags are transmitted to the BIM model to realize the integration and visualization of prefabricated component state information. In this study, the traceability of prefabricated components of prefabricated concrete buildings can be improved, providing a basis for quality responsibility tracking in the later period, reducing unnecessary waste of human and material resources and helping to maximize economic benefits.

scholarly journals Integration of Emergy Analysis with Building Information Modeling

2021 ◽  
Vol 13 (14) ◽  
pp. 7990
Author(s):  
Suman Paneru ◽  
Forough Foroutan Jahromi ◽  
Mohsen Hatami ◽  
Wilfred Roudebush ◽  
Idris Jeelani
Keyword(s):  
Life Cycle ◽  
Building Materials ◽  
Building Information Modeling ◽  
Energy Analysis ◽  
Information Modeling ◽  
Environmental Cost ◽  
Emergy Analysis ◽  
Modeling Tools ◽  
Building Information

Traditional energy analysis in Building Information Modeling (BIM) only accounts for the energy requirements of building operations during a portion of the occupancy phase of the building’s life cycle and as such is unable to quantify the true impact of buildings on the environment. Specifically, the typical energy analysis in BIM does not account for the energy associated with resource formation, recycling, and demolition. Therefore, a comprehensive method is required to analyze the true environmental impact of buildings. Emergy analysis can offer a holistic approach to account for the environmental cost of activities involved in building construction and operation in all its life cycle phases from resource formation to demolition. As such, the integration of emergy analysis with BIM can result in the development of a holistic sustainability performance tool. Therefore, this study aimed at developing a comprehensive framework for the integration of emergy analysis with existing Building Information Modeling tools. The proposed framework was validated using a case study involving a test building element of 8’ × 8’ composite wall. The case study demonstrated the successful integration of emergy analysis with Revit®2021 using the inbuilt features of Revit and external tools such as MS Excel. The framework developed in this study will help in accurately determining the environmental cost of the buildings, which will help in selecting environment-friendly building materials and systems. In addition, the integration of emergy into BIM will allow a comparison of various built environment alternatives enabling designers to make sustainable decisions during the design phase.

Radio Frequency Identification Technology in an Australian Regional Hospital

2016 ◽  
pp. 76-100
Author(s):  
Chandana Unnithan ◽  
Arthur Tatnall
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Actor Network Theory ◽  
Regional Hospital ◽  
Data Capture ◽  
Automatic Identification ◽  
Frequency Identification ◽  
Technical Factors

Australian hospitals had begun exploring Radio Frequency Identification, a wireless automatic identification and data capture technology for improving the quality of their services towards the end of 2000s. After many an unsuccessful pilots, a breakthrough for large hospitals came in 2010, with a key learning rendered by a large regional hospital that not only experimented with the technology, but also have made it all pervasive in their operations. In this chapter, we present the case study, through an innovation translation perspective, focusing on the socio-technical factors captured through elements of Actor-Network Theory.

scholarly journals Validation of modified radio-frequency identification tag firmware, using an equine population case study

PLoS ONE ◽  
2019 ◽  
Vol 14 (1) ◽  
pp. e0210148 ◽  
Author(s):  
Rachael M. Milwid ◽  
Terri L. O’Sullivan ◽  
Zvonimir Poljak ◽  
Marek Laskowski ◽  
Amy L. Greer
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Frequency Identification
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