TY - GEN
T1 - Construction and application of multidimensional analysis model for meteorological infrastructure resources
AU - Guo, Cong
AU - Sun, Chao
AU - Wang, Yingjie
AU - Xu, Da
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - With the continuous promotion of meteorological intensification process, the infrastructure resources originally scattered and built by various business units are gradually incorporated into the data center resource pool for unified management. However, due to the original data silos, high technical threshold, lack of models and specifications, etc., it brings great challenges to the multidimensional statistical analysis of surveillance data from rich sources. To be able to grasp the allocation and usage of various resources in real time and use limited resources more rationally, this paper realizes real-time statistical analysis of multidimensional data based on various dimensions such as time, business units, business systems, and resource categories by constructing a meteorological infrastructure resource are for analysis model. The experimental results show that the technical platform built by the model is stable and responsive, and can meet the multi-dimensional data analysis requirements of various systems. At the same time, the relevant analysis results can provide real-time and dynamic data support basis for operation and maintenance management and planning decisions.
AB - With the continuous promotion of meteorological intensification process, the infrastructure resources originally scattered and built by various business units are gradually incorporated into the data center resource pool for unified management. However, due to the original data silos, high technical threshold, lack of models and specifications, etc., it brings great challenges to the multidimensional statistical analysis of surveillance data from rich sources. To be able to grasp the allocation and usage of various resources in real time and use limited resources more rationally, this paper realizes real-time statistical analysis of multidimensional data based on various dimensions such as time, business units, business systems, and resource categories by constructing a meteorological infrastructure resource are for analysis model. The experimental results show that the technical platform built by the model is stable and responsive, and can meet the multi-dimensional data analysis requirements of various systems. At the same time, the relevant analysis results can provide real-time and dynamic data support basis for operation and maintenance management and planning decisions.
KW - Data analysis
KW - Infrastructure Resource
KW - Meteorological
KW - Model
KW - Multidimensional Analytical
UR - http://www.scopus.com/inward/record.url?scp=85162220946&partnerID=8YFLogxK
U2 - 10.1109/MLBDBI58171.2022.00007
DO - 10.1109/MLBDBI58171.2022.00007
M3 - Conference contribution
AN - SCOPUS:85162220946
T3 - Proceedings - 2022 4th International Conference on Machine Learning, Big Data and Business Intelligence, MLBDBI 2022
SP - 1
EP - 6
BT - Proceedings - 2022 4th International Conference on Machine Learning, Big Data and Business Intelligence, MLBDBI 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Machine Learning, Big Data and Business Intelligence, MLBDBI 2022
Y2 - 28 October 2022 through 30 October 2022
ER -