Conversation-Based Information Delivery Method for Facility Management

Sensors

Kuan-Lin Chen¹  Meng-Han Tsai¹ 

[1] Department of Civil and Environmental Engineering, National Taiwan University of Science and Technology, Taipei 106335, Taiwan;

关键词: building information modeling;    facility management;    chatbot;    natural language processing;    ontology;   

DOI  :  10.3390/s21144771

来源: DOAJ

【 摘 要 】

Facility management platforms are widely used in the facility maintenance phase of the building life cycle. However, a large amount of complex building information affects facility managers’ efficiency and user experience in retrieving specific information on the facility management platform. Therefore, this research aims to develop a conversation-based method to improve the efficiency and user experience of facility management information delivery. The proposed method contains four major modules: decision mechanism, equipment dataset, intent analysis, and knowledge base. A chatbot prototype was developed based on the proposed method. The prototype was then validated through a feasibility test and field test at the Shulin Arts Comprehensive Administration Building in Taiwan. The results showed that the proposed method changes the traditional information delivery between users and the facility management platform. By integrating natural language processing (NLP), building information modelling (BIM), and ontological techniques, the proposed method can increase the efficiency of FM information retrieval.

【 授权许可】

Unknown