On November 1st, Alibaba Group announced that during the Tmall Twin 11s, the inspection work of the North China Data Center will be completed by the intelligent operation and maintenance robot Alibaba. It is understood that Tian-Tsing adopts 3D laser radar, which can realize autonomous navigation in the data center and independently complete the inspection. The robot is equipped with a panoramic high-precision camera and sensor. During the inspection, temperature, humidity, air quality, electrical parameters, and air conditioning parameters can be monitored.
Robots can accomplish such complex tasks thanks to the intelligence behind them that directs the brain's "stranger." Ali said that the computer includes a series of algorithms and applications running on Alibaba Cloud, including data storage technologies that provide online data analysis, coordination of load balancing technologies across the entire network, and remote disaster recovery technologies. With the help of cloud computing capabilities, “Tianji†can find the failures and environmental abnormalities of nearly a million servers, and perform quick troubleshooting and judgment.
Ali official stated that TianThun is the most accurate intelligent operation and maintenance robot in the Internet data center. It can not only perform inspections 24 hours a day, but also replace 30% of the repetitive tasks of the operation and maintenance personnel. In addition, during the double 11 days tour of the North China Data Center alone to work.
Tiantzu Robot is a new attempt by Ali to manage and operate in the data center. As data centers become larger, if you only rely on increasing manpower to monitor the data center environment, not only will the cost increase, but there will be work negligence. Therefore, it is time for robots to help humans do some work.
Yan Kun, a senior expert of Alibaba's data center, introduced that in the future, Robot Sky Survey will upgrade its algorithm and hardware configuration. After the upgrade, TianThun will be able to replace the repetitive work of more than 60% of on-site operation and maintenance personnel.
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