Browsing by Author "Harode, Ashit"
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- Linking BIM to Power BI and HoloLens 2 to Support Facility Management: A Case Study ApproachHarode, Ashit; Ensafi, Mahnaz; Thabet, Walid (MDPI, 2022-06-18)Facility lifecycle data captured in BIM during design and construction are very valuable for effective facility operations and maintenance. Traditionally, model authoring and analysis tools have been used to search and query model information. These tools are not well designed to search and display needed data and they require a steep learning curve. In this paper, the authors propose the use of Power BI dashboards to facilitate easy access and display of lifecycle data embedded in the model. The implementation and use of dashboards for facility management are discussed using a case study. The effectiveness and usability of the dashboards are validated using a focus group of six industry experts that were first interviewed then asked to complete a questionnaire. Feedback from interviews indicated that customized dashboards are effective tools to view, analyze and draw insights on data from various sources and can improve facility operations and management. Numerical results from the PSSUQ using fourteen questions indicated positive responses overall with an average score of four or five from the majority of respondents. Finally, the authors tested integration of the Power BI dashboards with the HoloLens 2 to deliver relevant up-to-date facility lifecycle data in near real-time to field staff.
- A study of effectiveness and value of BIM implementation in Lean Construction among medium size Mid-Atlantic USA construction firmsHarode, Ashit; Mills, Thomas H. (2020-09-25)Lean Construction and Build information modelling (BIM) are two of the major advancements in construction industry that focus on increasing the productivity and adding value to the building process. Although previous work has been done in this area the industry is evolving and This research focuses on the synergy between Lean Practices and BIM Tools by assessing the value within the Mid Atlantic USA construction industry of BIM Tools integrated with Lean Construction practices and what areas this integration is the most effective The research focuses on: 1) Effectiveness and value of Lean Construction integrated into Building Information Modelling among Mid Atlantic USA construction industry, 2) Perceived challenges faced during this collaboration and, 3)Strategies towards better integration.
- A Tool-Based System Architecture for a Digital Twin: A Case Study in a Healthcare FacilityHarode, Ashit; Thabet, Walid; Dongre, Poorvesh (International Council for Research and Innovation in Building and Construction, 2023-02)Changes in the local and global markets are forcing A/E/C/FM (Architecture, Engineering, Construction, and Facility Management) organizations to deliver more robust and innovative operational BIMs (Building Information Models). It is hypothesized that BIMs will transform from a static 3D model to a Digital Twin providing a truly digital representation of the physical asset or the building it represents. This transformation to a dynamic Digital Twin will allow the A/E/C/FM industry to visualize, monitor, and optimize operational assets and processes to support better inspection and analysis for a more efficient facility operations and maintenance. To support the adoption and implementation of Digital Twin in A/E/C/FM, the authors have defined two clear objectives. First, we discuss requirements for a functionality-based canonical architecture to create a digital twin followed by proposing two tool-based system architecture options for its implementation. Second, we use a case study approach to develop a proof-of-concept Digital Twin of an operating room in a healthcare facility using Power BI Desktop and Azure Services. The prototype aims to monitor room air quality as per INAIL (National Institute for Insurance against Accidents at Work) and ISO (International Organization for Standards) standards. Multiple sensors connected to a Raspberry Pi 4 are used to capture real-time data for various air quality parameters including temperature, humidity, airflow, particulate contamination, and Nitrous Oxide (N2O) gas. Multiple dashboards are also created to visualize, monitor, and analyze the data harnessed from the OR sensors. The implementation addresses critical issues including security, data storage, visualization, processing, data streaming, collection, and analysis. As an initial validation, the Digital Twin prototype was presented and discussed with a healthcare BIM manager. Initial feedback from the industry expert indicated that the prototype could decrease the required time to respond to facility maintenance issues such as decreased air flow due to possible obstructions.