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The construction industry is characterized by long production cycles, poor mobility of workers, various kinds of outdoor operations and complex construction processes, leading to frequent safety accidents. To explore the occurrence rule of the construction accidents in building construction, this paper applied knowledge graph technology in the field of artificial intelligence to analyze construction accidents. Firstly, defining the conceptual architecture of the domain knowledge graph. Secondly, extracting key knowledge elements from construction accident data. The knowledge graph of construction accidents has been established by using the Neo4j graph database. Further, a construction accident analysis process based on the knowledge graph has been proposed. The intelligent analysis, such as query, statistical analysis and correlation path analysis for accident information have been conducted. The results shows that based on knowledge graph technology, construction accidents in visual graphics or tables could be visualized. The accident information in the form of knowledge could be saved and queried quickly. The study can provide knowledge support for accident prevention and improve the efficiency of accident analysis. Besides, it can provide innovative ideas as well as decision support for safety management.