Analysis and Application of Power Equipment Production Quality Based on Data Hierarchical Processing
Xiang Wang, Zhao Jianfeng, Liu Chunxiao · 2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) · 2022
The Internet of things (IoT), cloud computing, big data technology, and artificial intelligence algorithms have developed rapidly. However, the data generated by the above process, due to its characteristics of multiple sources, large volume, rapid growth, heterogeneity, and complicated correlation, pose challenges to orthodox data processing methods. This research proposes a data layering model based on the weight of data and access frequency. Storing data with different functions and adjusting the data level according to various conditions enhances the query, reading efficiency, and data reliability of massive data. Furthermore, this research provided a solid foundation for subsequent data analysis. Specifically, we analyzed he processed data according to the technique benchmark of electrical devices and exhibited it graphically in the validation part.