Guidance for performing automatic verification of building information modelling (BIM) files using Python


This technical note provides guidance on how python can be used to automate the process of verifying building information modelling (BIM) files. The research conducted and reported in this paper is a follow up to the Chua and Fadeyi (2021) study in which dynamo was used to perform automatic verification of BIM files. The guiding questions for this present study were: (i) Would the excel outputs from dynamo and python be the same? (ii) Can the use of python provide better customisation of the verification process and the derived building information than dynamo? Excel outputs from python and dynamo were found to be the same or similar when compared. For verification functions where the outputs are similar, python provided concise information needed better than the dynamo because of the better customisation benefits python provides. Python also provided better customisation of the process of doing the automatic verification. The automation verification benefits provided by python, like in dynamo, can significantly optimise the process and productivity of validating building information modelling (BIM) files.

Keywords: Building information modelling, Digital facility management, Productivity, Python, Computational thinking

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Cite as: “Low TW, Fadeyi MO, and Low MYH (2021). Guidance for performing automatic verification of building information modelling (BIM) files using Python. Built Environment Applied Research Sharing #07 (Technical Note). ISSUU Digital Publishing.”

Published by Moshood Olawale Fadeyi

Dr. Moshood Olawale Fadeyi is a sustainable building professor with specialisation in sustainable building value delivery education at the Singapore Institute of Technology. He is also an architect, an indoor air quality expert, a chartered engineer (UK) – building services, a chartered construction manager (UK), a cartoonist, and a specialist adult educator. He holds four university degrees, including a Ph.D. in Indoor Environment and Energy from the National University of Singapore and the Technical University of Denmark. He is architecture (BSc Arch and M.Arch.), building science (MSc.), and engineering (Ph.D.) trained. He is a member of the Chartered Institution of Building Services Engineers (UK), Chartered Institute of Building (UK), and American Society of Heating, Refrigerating, & Air-conditioning Engineers. He is well suited for architecture, interior design, building science, and architectural/building services engineering education. He has experience and expertise in developing undergraduate and postgraduate curricula to make students job-ready upon graduation. He currently researches to develop creative works and public education materials useful for developing critical and reflective thinking, communication skills, and technical knowledge needed to enhance industry, community, and education practices for solving sustainable building value delivery problems. Under the sustainable building value delivery education theme, he focuses on indoor air quality value delivery education and value-oriented productivity education (in sustainable building design, construction, and management practices). He has published more than 200 research and scholarship outputs in peer-reviewed journals, conferences, books, and public educational resources. His research for education efforts is enhanced by his fundamental knowledge and skillsets in the philosophy of building information modelling and other digital solutions adoption, problem-solving philosophy, design, critical, reflective, scientific, and lean thinking, fine art, oral and written communication, and storytelling. Companies and government agencies highly seek his expertise and leadership skills. He is the Editor, Author, and Cartoonist of Indoor Air Cartoon Journal – a creative and applied learning journal providing education on indoor air quality, with audiences from over 100 countries. He is a former National Taekwondo Champion in Singapore – Black Belt Middle-Heavy Weight category, 2006.

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