Integrated video surveillance cloud service system and method based on railway video technical specifications

Abstract

The present invention relates to a comprehensive video monitoring cloud service system and method based on railway video technical specifications, characterized in that the cloud system includes a core layer, a regional layer and an access layer, wherein the core layer includes core nodes, and the Both the regional layer and the access layer include several nodes; each of the nodes includes a collection terminal, an access server, a distribution server, a storage server and a management server, and the management server includes a master server and a standby server, and the collection terminal , access servers, distribution servers, and storage servers are deployed in clusters. The present invention solves the problem of complex upgrade and expansion. Due to the adoption of dynamic routing and cluster deployment, the expansion of the system does not require complex routing configuration work, and only needs to add nodes for access services, distribution services, or storage services. Expansion, upgrade and expansion work is greatly simplified.

Description

technical field [0001] The invention relates to a comprehensive video monitoring cloud service system and method based on railway video technical specifications, and belongs to the technical fields of network communication, distributed systems, and video monitoring and monitoring. Background technique [0002] With the acceleration of urbanization in our country, the video surveillance industry is booming. Cameras and video surveillance can be seen everywhere in roads, railways, airports, schools, hospitals, office buildings and even at home. Video surveillance has penetrated into people's lives. In recent years, the concept of smart city has been put forward and implemented, and new requirements have been put forward for the video monitoring and monitoring system. Closed, dedicated, monitoring-based security system, system upgrade, expansion, capacity expansion, resource integration is difficult. Nowadays, with the rise of cloud computing and cloud storage technology, vari...

AI Technical Summary

Problems solved by technology

[0005] First, the redundant backup capability is weak, failing to realize the redundant backup function of access service, distribution service, and storage service node, failure of access service, distribution service or storage node will cause associated video interruption and data loss

[0006] The second is that the upgrade and expansion workload is heavy, and the configuration is cumbersome (the fixed routing relationship between services needs to be configured), and subsequent system changes also require a large workload of configuration modification

[0007] The third is that there is no load balancing capability, and the capabilities of nodes cannot be fully utilized. There are situations where some nodes are idle and some nodes are relatively busy.

[0008] Fourth, there are high requirements for hardware performance, and existing server assets cannot be fully utilized

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