It is important to pay attentions on safety management, monitoring, and early alerting for the entire process of the crane due to its high-risk because of the complex structure and operating environment. This paper focuses on four parts of tower crane management, which are the layout plan management, personnel management, equipment maintenance management, and operation space management. Through the literature reviews of the application of artificial intelligence in this field, this paper enumerates the current management status and lists those insufficiencies. Also, this paper lists and the intelligent auxiliary, decision support, and the future development. Moreover, actual needs are analyzed for the further development of artificial intelligence.

Management of machine, electric and plumbing (MEP) plays an important role during operation and maintenance management of a building. At present, building automation system (BAS) is the primary means of MEP management, but the monitoring information of BAS cannot be effectively shared or used by other systems. Data sharing within building lifecycle can be achieved by adopting building information modeling (BIM) technology while most BIM researches and applications for MEP focus on establishing a product model that contains a wealth of information to improve the management efficiency by information inquiries. Few researches in the integration of BIM and MEP monitoring information are reported. By studying the integrated approach of BIM and MEP monitoring information, an extended model of MEP monitoring information can be established based on BIM. The model can provide data to support the operation and maintenance management of MEP, maximizing the value of MEP monitoring information.