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Huawei Distributed Cloud Monitoring Ensures Spring City Travel Security

2018-01-12 09:44:40 Author: Source:CTI ForumComment:0  Click:


Railway stations, subway stations, bus terminals, and bus stations are the hubs of urban public transportation. They are densely populated and difficult to manage, and deploying more police forces often results in little success. In the event of violence, they can only rely on Public security officers' emergency dispatches have completed public security management, but their timeliness cannot be guaranteed.
As a tourist city, Kunming has developed rapidly, and urban public transport has been vigorously built. Kunming has planned to open 6 subway lines by 2019. The construction of Metro Line 3 started in 2010 and was officially opened on August 30, 2017. The three-day average daily passenger flow reached 100,000 people per day. To deal with such a large passenger flow, Kunming Metro Line 3 adopted “full-coverage” video surveillance, combined with a reasonable deployment of police force, greatly improving the management efficiency of Line 3 .
Kunming Line 3 adopted Huawei's rail transit cloud monitoring solution. From IPC to switches, to platforms and storage, Huawei provided an end-to-end rail traffic monitoring solution for Kunming Line 3; it also took into account the special circumstances of subway applications. In terms of system stability, Huawei's rail transit cloud monitoring solution proposes the concept of "triple cloudization", which greatly enhances the stability and security of the entire video surveillance system.
Design of CCTV Cloud Monitoring Solution for Kunming Metro Line 3
The design of closed-circuit television monitoring system of Kunming Metro Line 3 is mainly composed of stations, depots/parking lots, line network control centers, and a temporary control center of the Fangmaqiao. The overall architecture of the system adopts distributed cloud monitoring for layered design, namely the two-tier deployment structure of the control center (including the temporary control center)-the station/parking lot/depot. The station/parking lot/depot is a lower-level domain that can operate independently and autonomously manages local video surveillance resources. The control center/standby control center is a higher-level domain and can freely browse, access, and control subordinate stations/parking lots/depots, etc. Domain video surveillance resources. Through distributed cloud deployment, cameras in stations, parking lots, and depots only need to access the cloud monitoring resource pool of the station, and media streams can be forwarded and stored by the cloud monitoring resource pool to achieve cloud-based elastic deployment. Its overall structure is as follows:
Huawei Metro Distributed Cloud Monitoring Solution
Huawei's rail transit cloud monitoring solution is based on the features of IP networks and video surveillance services and introduces VCN3000 series video cloud node devices. The device serves as the basic unit of cloud monitoring. Through the application of cloud computing and cloud storage technology, it tightly combines the multiple node devices in the network to form a single video cloud system that is specially used for massive video surveillance data storage, and is implemented through a cloud-based scheduling algorithm. The triple clouding feature of the video cloud creates the highest security and reliability in the industry (99.999%). It truly realizes end-to-end cloud management of monitoring services, and provides the rail transit industry with high reliability, high availability, high scalability, and easy expansion. Video cloud solution.
Yunyi: clouding between devices
Dynamic load balancing is implemented among multiple video cloud nodes. If any one device fails, its bearer service will be automatically and concurrently migrated to all other normal service video cloud nodes to ensure that the entire video surveillance service is uninterrupted (with the traditional monitoring platform N The core advantages of the +1 cluster and N+M backup mechanism are: no need to add standby machines, service migration is a concurrency mechanism, and the efficiency is N times that of the N+1 clustering mechanism. Cloud-based scheduling realizes video services, computing resources, and storage resources. The unified scheduling of resource pooling has greatly improved the processing efficiency of all business instructions.

 
Cloud II: clouding between hard disk RAID groups
Dynamic load balancing can be implemented among multiple RAID groups within a single video cloud node. If any RAID group fails, its bearer services are automatically migrated to other healthy RAID groups to ensure that all video services are uninterrupted (the traditional monitoring platform cannot implement video Business is dynamically migrated between RAID groups.
Cloud 3: Cloudization of multiple hard disks in a RAID group
By using the patent of Safevideo to realize the underlying data management, the hard disks in each RAID group can be clouded. When multiple hard disks are damaged at the same time, the RAID group fails, and the video recording can still be readable to the maximum extent to satisfy the security of the video data (traditional RAID technology, RAID5 can realize one piece of hard disk is damaged, the data is readable, and the hard disk data of the entire RAID group is lost after multiple hard disks are damaged).
As metro video monitoring moves toward the era of high-definition, the storage architecture also shifts to a more easily maintainable distributed cloud monitoring model. Cloud monitoring not only supports online expansion, but also provides good platform openness to ensure system interoperability and video sharing. Image data. Up to now, Huawei's rail transit cloud monitoring and control solution has served 18 subway lines throughout the country, safeguarding the safety of public transportation in multiple cities, and achieving 24-hour, dead-end and all-round monitoring.
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