In order to solve the problem of storage and processing of a large amount of energy information in intelligent wind field,this paper uses the Hadoop big data framework,distributed relational databases and big data engines to complete data storage and conversion.The ultrasonic wind speed sensor is used to calculate the corresponding wind speed and wind direction by ultrasonic technology.A data mining technology of association rules based on Apriori algorithm is proposed,and the associ-ation rules are used to quickly and accurately discover type associations in the process of data mining on the database according to user needs,and the Apriori algorithm is optimized and improved by compressing the database and deleting the candidate set.Experimental results show that the data mining time is as low as 1218 ms,and the acceleration ratio can reach as high as 3.4.
关键词
智慧风场/大数据技术/关系型数据库/超声波风速传感器/关联规则
Key words
intelligent wind field/big data technology/relational database/ultrasonic wind speed sensor/association rule
维普
万方数据