NATALIA NAKAMURA - Pesquisa em Arquitetura, Tecnologia e Cidade - PPGATC FECFAU UNICAMP

Summary

Natália Câmara Barros, a Ph.D. candidate in Architecture and Urbanism at Unicamp, presents her thesis proposal on intelligent lifecycle assessment of buildings. Focusing on the environmental impacts of construction, her research integrates Internet of Things (IoT), machine learning, and lifecycle assessment to revolutionize project planning and environmental impact estimation. The goal is to develop a conceptual model that bridges these technologies for more effective building lifecycle evaluation, using a structuralist method to demonstrate the integration process and its potential benefits.

Takeaways

• 🎓 The speaker, Natália, is a PhD candidate in the Architecture and Urbanism program at the University of Campinas (Unicamp).
• 🏛️ Her thesis focuses on 'intelligent assessment of the building lifecycle', aiming to make architects and engineers more aware of the environmental impacts of construction.
• 🌿 Construction is a major contributor to environmental impacts, and there is a need for more applied efforts to calculate these impacts.
• 🔄 Life Cycle Assessment (LCA) evaluates the environmental impacts of buildings from material extraction to final disposal.
• 📈 The advent of new technologies like the Internet of Things (IoT) and machine learning is revolutionizing the way architects and engineers estimate environmental impacts.
• 🔄 Research is integrating LCA with IoT, which can be unidirectional or bidirectional, focusing on optimizing building lifecycle assessments.
• 🌐 IoT architecture for building lifecycle assessment can be divided into four layers: perception, data, service, and application layers.
• 🤖 Machine learning is being used in LCA to identify impacts, optimize processes, and support decision-making.
• 🔍 There is a research gap concerning the integration of all three axes—LCA, IoT, and machine learning—in building lifecycle assessment.
• 📊 The main objective of the research is to develop a conceptual model integrating machine learning, IoT, and LCA for building lifecycle assessment.
• 🔧 The structuralist method will be applied, involving observation, conceptualization, model development, and evaluation.
• 📝 The research aims to demonstrate the step-by-step integration process and highlight the main impacts and potential for future research.

Q & A

Who is the presenter of the thesis proposal?

The presenter is Natália na Câmara Barros.

What is Natália's academic background?

Natália is a Ph.D. candidate in the Graduate Program in Architecture and Urban Technology at the School of Civil Engineering, Architecture, and Urbanism at Unicamp.

What is the main focus of Natália's doctoral thesis?

The main focus is on the intelligent assessment of the life cycle of buildings.

Who is supervising Natália's doctoral thesis?

The thesis is supervised by Professor Regina Rocha.

What is the construction industry's impact on the environment?

The construction industry is responsible for a significant portion of environmental impacts.

What is the purpose of Life Cycle Assessment (LCA) in construction?

LCA calculates the environmental impacts at all stages of a building's life cycle, from material extraction to final disposal.

How are new technologies revolutionizing the way architects and engineers calculate environmental impacts?

Technologies such as the Internet of Things (IoT) and machine learning are changing the approach to environmental impact assessment in construction.

What are the four layers of the Internet of Things architecture as mentioned in the script?

The four layers are the perception layer, data layer, service layer, and application layer.

What are the main focuses of research involving machine learning in life cycle assessment?

The main focuses are on identifying impacts, optimization, and support for decision-making.

What is the research gap that Natália's thesis aims to address?

The research gap is the lack of integration between machine learning, IoT, and LCA in the assessment of the life cycle of buildings.

What method will be applied in Natália's research to develop a conceptual model?

The structuralist method will be applied, which includes observation, conceptualization, model development, and evaluation.

What is the expected outcome of applying the structuralist method in Natália's research?

The expected outcome is to demonstrate step by step how to integrate IoT, machine learning, and LCA in the assessment of the life cycle of buildings, highlighting the main impacts and enabling future research tracking.