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January 2025
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A unified network and video platform for multi-site, multi-department, multi-level monitoring of railway facilities.
Flexibly request compute and allocate storage by camera count and video-function needs, with dynamic resource adjustment
The storage system uses a distributed cluster architecture; video data is sliced and stored across nodes with concurrent read/write; a single streaming server supports ≥200 streams at 4 Mb
Video playback supports second-level retrieval, saving review-query time and raising work efficiency
When video storage capacity is insufficient, expand online; after expansion, nodes automatically load-balance performance and capacity without manual intervention
Fast fault recovery keeps clusters stable. In-band/out-of-band management, remote location, second-level BMC leak monitoring, and automatic fault logs.
The system network topology consists of multiple levels: video core nodes (China Railway), video regional nodes (railway bureaus / passenger-dedicated-line centers), and video access nodes (workshops / stations / depots). Levels can be deployed flexibly by project needs, matching China Railway’s management model and railway-line management characteristics.
Build an elastic, scalable, highly fault-tolerant virtualized video application platform for video management, recording, and distribution/forwarding.
The virtualization platform uses high-fault-tolerance modules so that when a host goes down, business VMs can migrate seamlessly to other physical hosts without interrupting business.
For performance, concurrency, and stability, a distributed storage system enables concurrent data read/write with outstanding performance. It provides multi-device centralized management based on cluster-management technology, with centralized device monitoring, cluster management, monitoring of software/hardware status, and proactive alarms.
Necessary linkage with disaster-prevention, power, environmental-monitoring, and other systems; other systems can integrate alarm linkage with video surveillance via dry contacts or APIs.
Adopt a scale-out storage architecture to spread massive video data across multiple concurrent storage nodes with load balancing, effectively avoiding single-node bottlenecks. When video storage is insufficient, expand linearly horizontally.
Video-surveillance business VMs include management, forwarding, storage, and video-analysis nodes. Users can flexibly request business VMs by camera count and function needs and dynamically adjust resources.
+86 400-810-0466
international@sugon.com
津公网安备 12011602000521号
+86 400-810-0466
international@sugon.com
津公网安备 12011602000521号
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