Data monitoring method based on power big data
A big data and data technology, applied in the field of data monitoring and data monitoring based on electric power big data, can solve the problems of unsaved phase information of electric energy meters of resident users, so as to improve efficiency and convenience, improve data quality, and save costs Effect
Pending Publication Date: 2020-02-11
CHINA SOUTH POWER GRID ELECTRIC POWER RES INST
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Abstract
The invention discloses a data monitoring method based on electric power big data. The method belongs to the technical field of electric power, and comprises the following steps: step 1, monitoring acquired data, acquiring data, acquiring total data of a single-phase meter and a related transformer area, importing the total data into hdfs, and monitoring data acquisition by adopting spark streaming + redis; step 2, performing data monitoring and real-time calculation, and calculation depends on scheduling daily electric quantity through a scheduling program; and recalculation: recalculating the daily electric quantity of all dates in the window by relying on a scheduling daily electric quantity recalculation program through a scheduling program. The clustering algorithm is adopted for continuous analysis, so that data quality is improved, the accuracy, timeliness, effectiveness and completeness of e data are guaranteed, a powerful guarantee is provided for integration and mining application of the data, the collection, calculation and uploading of the data are monitored, and the accuracy and timeliness of the data are guaranteed.
Application Domain
Relational databasesResources +1
Technology Topic
Monitoring dataProgram calculation +12
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- Experimental program(1)
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