Open AccessResearch on Data Processing Architecture of NQI Service Platform in Intelligent Measurement Domain
Author(s) -
Xi Fang,
Yongguang Liu,
Yong Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1607/1/012128
Subject(s) - smart grid , smart meter , data collection , data quality , service quality , data processing , computer science , quality (philosophy) , electricity meter , service (business) , quality of service , architecture , database , engineering , telecommunications , power (physics) , business , electrical engineering , philosophy , statistics , physics , mathematics , epistemology , marketing , quantum mechanics , art , visual arts
At present, the quality control and management of smart meters exist in production enterprises and power grid companies respectively. There are some problems, such as weak system, lack of coordination, and lack of overall technical solution ability. By carrying out the design of NQI service platform to support the quality improvement of smart meters, the quality data collection and quality monitoring of smart meters in multiple factors, dimensions and the whole process are realized, and the quality level of smart meters is promoted comprehensively. The NQI service platform focuses on the storage and processing of massive quality data of smart meters, improving the efficiency of quality data mining and utilization, and achieving the overall quality improvement of smart meter industry. In this paper, through the analysis and research of service scenario, the massive quality data analysis and processing mechanism of intelligent power meter is designed.