Research and Practice on Meteorological Data Security Supervision Technology Based on Tianqing·Qinghai

Abstract

To address the challenges of data circulation security supervision in the meteorological big data environment and enhance the security protection capabilities of meteorological data usage in Qinghai Province, this paper, based on the "Tianqing·Qinghai" meteorological big data cloud platform and the "Tianjing·Qinghai" comprehensive business monitoring system, adopts three core methods: data structure processing, data denoising, and data security usage auditing. It integrates advanced technologies such as distributed collection control, parallel computing, and big data storage to construct a meteorological data security supervision system. The research focuses on three dimensions: the development of meteorological data security supervision technology, analysis of usage situations, and security risk management. It establishes the judgment rules and disposal processes for six types of data security risk events, achieving real-time monitoring of account access behaviors, precise control of key accounts, and collaborative handling of risk events. Practical application shows that this system can effectively reduce data security risks, improve supervision efficiency, and provide a replicable technical solution and practical reference for data security governance in provincial meteorological departments.