Research on Collection and Preprocessing of Multisource Heterogeneous Elevator Data

With the rapid development of China's economy, the elevator has become a basic tool in our daily life, and the safety risks brought by the elevator are also increasingly serious. It is necessary to use the technology of big data to mine the existing multi-source Heterogeneous elevator data, so as to find out the various rules of fault. Data collection and preprocessing are the important parts of big data mining and analysis. In this paper, through the research of collection and preprocessing of multi-source heterogeneous elevator data, the quality of inputting data which is needed for the data modeling later on is improved, so as to provide better service for elevator fault prediction.