关键词: 辅机设备, 大数据技术, 数据挖掘, 振动噪声

Abstract: This paper analyzes the necessity of condition monitoring and analysis of auxiliary equipment, and innovates the application of big data technology in this field. It solves the key technical problems in the research field, designs and realizes the vibration and noise monitoring and analysis platform of auxiliary equipment. The platform combines streaming data real-time analysis technology and real-time batch technology, uses Storm+Hadoop big data processing architecture. On the one hand, Storm is used to calculate and process the mass of raw data such as noise, vibration, current, voltage, harmonics and so on, and the processed data are transmitted to the real-time monitoring center. On the other hand, using batch computing technology, the mass of raw data are stored in Hadoop-based distributed file system, the large databases are established, and then the big data analysis technology based on MapReduce is used for massive data mining and modeling. The research on the platform not only realizes the monitoring and analysis of the operation and management of the auxiliary equipment, but also can be used as the basis for the modeling and research of the large vibration and noise data of auxiliary equipment.

Key words: auxiliary equipment, big data technology, data mining, vibration and noise