Research on the Application of "Cloud + Edge"Meteorological Blockchain Distributed Storage and Network Technology

This paper studies a blockchain-based solution for the distributed storage and networking of meteorological data, aiming to address issues in traditional meteorological data storage and transmission, such as single points of failure, poor scalability, inadequate security, and difficulties in data sharing. First, by analyzing the characteristics of meteorological data and the limitations of existing technologies, the feasibility and advantages of applying blockchain and distributed storage technology in the field of meteorological data are explored. The author designs an overall architecture consisting of a meteorological blockchain data collection layer, blockchain network layer, distributed storage layer, and application service layer. The functions and implementation methods of core components, such as the data collection module, blockchain module, distributed storage module, and data access module, are elaborated in detail. A blockchain-based distributed storage and networking system for meteorological data is constructed. Through experiments and result analysis, the proposed solution is shown to improve data processing efficiency by over 30%, while ensuring data security and access speed, greatly enhancing the meteorological digital infrastructure's support capability for forecasting and disaster prevention and mitigation services.

Authors

Publication Details

Published
2025-03-14
DOI
https://doi.org/10.1109/itoec63606.2025.10968117
Primary Topic
Big Data and Digital Economy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the Application of "Cloud + Edge"Meteorological Blockchain Distributed Storage and Network Technology

Cong Guo, Changliang Zhang, Yinhai Xie
Big Data and Digital Economy
article

Research on the Application of "Cloud + Edge"Meteorological Blockchain Distributed Storage and Network Technology

Cong Guo, Changliang Zhang, Yinhai Xie
article en

Abstract

This paper studies a blockchain-based solution for the distributed storage and networking of meteorological data, aiming to address issues in traditional meteorological data storage and transmission, such as single points of failure, poor scalability, inadequate security, and difficulties in data sharing. First, by analyzing the characteristics of meteorological data and the limitations of existing technologies, the feasibility and advantages of applying blockchain and distributed storage technology in the field of meteorological data are explored. The author designs an overall architecture consisting of a meteorological blockchain data collection layer, blockchain network layer, distributed storage layer, and application service layer. The functions and implementation methods of core components, such as the data collection module, blockchain module, distributed storage module, and data access module, are elaborated in detail. A blockchain-based distributed storage and networking system for meteorological data is constructed. Through experiments and result analysis, the proposed solution is shown to improve data processing efficiency by over 30%, while ensuring data security and access speed, greatly enhancing the meteorological digital infrastructure's support capability for forecasting and disaster prevention and mitigation services.

Openalex Percentile: Top 89%
Big Data and Digital Economy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.