A Carbon Footprint Management Framework for Prefabricated Buildings Based on Knowledge Graph

The study presents an integrated framework for managing the carbon footprint of prefabricated buildings throughout their life cycle. The framework integrates ontology modeling, knowledge graph storage, and life cycle assessment (LCA) to analyze carbon footprint data. Sensor technology and natural language processing techniques are used for data collection and processing to build a knowledge graph for managing the carbon footprint of prefabricated buildings throughout their life cycle. The framework enables carbon footprint measurement, carbon source tracking, monitoring and feedback, and provides the basis for carbon reduction decisions. The study outlines the challenges in carbon footprint knowledge data management, including inconsistent definitions and methods, limited knowledge availability, and the complexity of carbon footprint data collection and processing. It also outlines the process of building carbon footprint ontology models, data processing, knowledge graph construction and storage, and carbon footprint measurement and carbon source tracking. The goal of the framework is to promote sustainable building practices and facilitate informed decision-making processes.