HAN Networks Co., Ltd.

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Zhangjiang Science Gate

Zhangjiang Science Gate project is located in Shanghai Zhangjiang Science City and Zhangjiang City Sub-center, is the Zhangjiang Science City as a national science center, Shanghai Science and Technology Innovation Center positioning of the core carrier, the tower crown on the beautifully shaped apron will also become a major attraction, the west tower is 320 meters high, with a total floor area of about 180,000 square meters, the main body of the building a total of 59 floors, the tower structural form of the section steel and concrete - frame core tube structure. After the completion of the east tower and its symmetrical composition of Shanghai's tallest twin towers.

Challenge

High stability: the project not only requires the network to have high reliability and stability, but also requires the network to be able to support a large number of concurrent connections and high-speed data transmission

Strong anti-interference: As the project is located in the core area of Zhangjiang Science City, there are a large number of high-rise buildings and complex electromagnetic environment around, which also puts forward higher requirements for the design and implementation of network solutions.

Products and Solutions

Cloud management platform: ESP, build intelligent private cloud platform with unified operation and maintenance management

LAN network: S11000, S2130 series switches, to build a highly reliable and cost-effective wired network

Wireless network: AP311/AP361-L, high performance and high concurrency wireless network to ensure efficient and stable

Technical highlights and user benefits

Huaxin Aotom adopts a fully distributed and highly reliable wireless network technology based on cloud architecture, which replaces the unified control of traditional AC by the collaboration between APs and effectively avoids the hidden problems caused by the failure of cloud platform and link failure

It also applies big data and artificial intelligence technologies to enterprise wireless networks, and through continuous machine learning, continuously improves the user access experience and enhances the efficiency of network operation, O&M and operations