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January 2025
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A cloud platform that aggregates heterogeneous meteorological data and supports deep data services.

Support deployment from hyper-converged appliances to multi-data-center distributed clusters, dynamically adjusted by business need and scale

Fuse and deeply mine multi-source heterogeneous meteorological data, enabling millisecond-level query of massive data

Fully compatible upward with existing business interfaces and downward with CIMISS system interfaces, providing data services via standard APIs

Meteorological big data management system:Standardize full-process management of meteorological big data resources; rapidly aggregate, exchange, quality-control, and ingest meteorological and related data; store meteorological big data online in real-time and historical integration, with complete backup and archive mechanisms, providing standard, convenient, rich data-service interfaces.
Infrastructure resource pool:Including virtualized resources, distributed physical resources, and data-storage resources; through virtualization, distributed, and other technologies, form pooled virtualization pools, distributed physical pools, and data-storage pools, providing intensive, efficient, on-demand, elastically scalable compute and storage for smart meteorology and big data crowdsourcing services.
Big data service crowdsourcing support system:Build a service crowdsourcing platform integrating data-resource aggregation, data-product presentation, multi-source data mining and analysis, and data operations services, constructing aggregation, cleaning, mining/analysis, and service processes for multi-source data, especially irregular external data.
Standardize the full process from meteorological data collection to data-sharing services, realizing full-lifecycle management of massive meteorological data.
Provide functional components on demand; dock with users’ existing business systems via standard APIs to lower project integration complexity.
A single management interface for unified management and resource scheduling of the underlying resource pool, big data platform, and crowdsourcing support system.

津公网安备 12011602000521号
津公网安备 12011602000521号



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