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January 2025
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IoT, cloud, big data, AI, and numerical modeling on an integrated sky-ground monitoring network.

An integrated air-space-ground monitoring system that enables supervision, assessment, and evaluation of platforms at every level, industry platforms, and grid officers

Clearly identify pollution sources, trace and display pollutant dispersion in time and space, and provide direct, reliable evidence for enforcement and decision-making

Provide situation prediction, rapid information query, and information release to build people-centered environmental protection and information-enabled public benefit

Eco-environment big data management platform:Embeds two major business subsystems for the battles to defend blue skies and clear waters, and can form distinctive applications relying on computing services of advanced computing centers and data services of intelligent engines. Based on an environmental big data supervision, command, and dispatch system, it faces N peacetime and wartime scenario modes, realizing rapid switching between peacetime use and wartime emergency response.
Eco-environment big data application platform:Centered on data, realize full-lifecycle management of multi-source heterogeneous data fusion and aggregation, processing and analysis, and data services; build base databases, thematic databases, and other data warehouses according to Ministry of Ecology and Environment standards and specifications, form an information-resource catalog, and, relying on an information-resource sharing platform, realize data sharing and exchange with business departments and related ministries, providing data services and standard APIs for business systems.
Infrastructure cloud platform:Adopts a partitioned cluster architecture comprising six major systems—compute subsystem, network system, cluster storage subsystem, management system, computer-room infrastructure system, and software-platform system. By business-processing characteristics it can also be logically divided into five parts: HPC partition, big data partition, cloud-computing partition, AI partition, and unified operations-management platform. Different application modes are scheduled to the corresponding partition by demand, with high-speed data exchange through the system storage partition. Infrastructure resources, based on secure, reliable facilities, form advanced-computing, data-storage, management, network-switching, and infrastructure subsystems, providing computing services that can be rapidly deployed, elastically expanded, and conveniently managed.
Information-security system:In accordance with the Cybersecurity Law of the People’s Republic of China, using advanced technologies such as big data and deep learning, fully integrate security data from various means; through processing, storage, analysis, and application of data, realize situational awareness, threat warning, security audit, security-event discovery and handling, asset management, and more; strive to eliminate network attacks in the bud, change static protection into dynamic monitoring, change multiple single-point protections into comprehensive and overall defense, and gradually form an intelligent, integrated information-security system for prevention and control.
Embed the two major business systems for the battles to defend blue skies and clear waters, supporting rapid switching among N scenarios of peacetime use and wartime emergency response.
Fully redundant architecture with self-healing and second-level fault response, maximizing business continuity.
Provide functional components on demand; dock with users’ existing business systems via standard APIs to lower project integration complexity.

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



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