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WIND POWER BIG DATA ANALYSIS SYSTEM BASED ON CLOUD COMPUTING
WIND POWER BIG DATA ANALYSIS SYSTEM BASED ON CLOUD COMPUTING
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机译：基于云计算的风力发电大数据分析系统
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摘要
A wind power big data analysis system based on cloud computing comprises a distributed file system module (1), a parallel programming frame module (2), a data warehouse system (3), a monitoring tool (4), an operation scheduling tool (5), and a development tool assembly module (6). The distributed file system module (1) is used for the persistent storage of data. The monitoring tool (4) is used for monitoring the running state of the system and the execution state of a data analysis operation. The operation scheduling tool (5) is used for scheduling the data analysis operation according to a demand, and parsing the association or dependency between operations. The development tool assembly module (6) is used for simplifying the configuration management of the system. The system improves the analysis and mining speed of wind power data, so as to improve the wind power management efficiency and the utilization rate of a fan device, thereby increasing the power production.
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