Research on the construction and key technologies of intelligent mine data center

In order to solve the problems of inconsistent concept of massive heterogeneous data, confusing and unclear data relationship, repeated data storage and data inconsistency, and high degree of coupling between various business systems, the description specification of coal mine metadata is proposed, and the core data unit and data object model set of coal mine safety production are formed. A distributed data storage center is built based on MongoDB object-oriented database, Redis memory database, MySQL relational database, PostGIS spatial database, HBase big data and file storage; through data collection and interaction services, data analysis and storage services, the unified data collection, analysis and storage of multi-business subsystems and data sharing and interaction based on Web API are realized, and a data center system providing data services for various types of intelligent mine information systems is built. The field industrial test shows that the collection and storage efficiency of the data center is in line with the industry standard, and the response speed of data query is fast, which can meet the requirements of intelligent mine data interaction.