Carbon Information Technologies & AI
Develop a carbon question-answering system for modular construction that addresses the information needs of different stakeholders through natural language interaction. Provide traceable answers from product, material, and process perspectives to support design and manufacturing decisions and identify opportunities to reduce emissions.
Develop a large language model (LLM)-based multi-agent framework for intelligent carbon emission management in Modular Integrated Construction (MiC), covering carbon assessment, production monitoring, and reduction planning. Integrate project documents, factory observations, and strategy evidence to generate item-level carbon inventories, verified activity records, and traceable reduction plans that balance carbon, cost, and schedule.