2. Data storage and management: Establish a scientific data system and database, and adopt a distributed architecture to realize efficient storage, safe management and quick retrieval of data.
3. Data preprocessing and analysis: through data mining technology, machine learning, statistical analysis and other methods, massive data are processed, analyzed and mined, so as to discover the laws, characteristics and trends of data hiding.