At present, the digital economy is becoming a key force in reorganizing global factor resources, reshaping the global economic structure, and changing the global competitive landscape. The total amount of data in the whole society is growing explosively, which requires the collection, storage and correlation analysis of a huge amount of data with scattered sources and diverse formats. The demand for data calculation, transmission and application has also increased significantly.
Data is becoming the "new oil" in the digital era, and data centers and computing power networks have gradually become important new infrastructure supporting the digital transformation of various industries.
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With the advancement of the dual-carbon blueprint, energy saving and consumption reduction are undoubtedly the top priority of data centers. However, traditional energy saving methods are gradually unable to meet the energy saving requirements of data centers. Key innovative technologies provide new directions for data center energy saving.
Specifically, data center construction should make full use of natural cold sources, strong wind and weak water, strengthen the use of new cooling, power supply technology, modular technology and AI operation and maintenance technology, improve the step-by-step deployment capability of the data center, and use digitalization, automation, and intelligence to Streamline operation and maintenance to reduce the operation and maintenance pressure on big data centers. The integration of AI technology in data centers is a general trend. AI technology may be applied in different areas and levels of the data center, so AI application has huge potential and innovation results are remarkable.
Among the many application scenarios of AI, intelligent operation and maintenance is the main battlefield for AI applications in data centers. Intelligent operation and maintenance uses "data intelligence" to replace or enhance "human experience", which can go from unattended to unmanned management.
First of all, using the artificial intelligence combination of "smart robots + smart sensors" can create a monitoring model with independent diagnosis, automatic troubleshooting, and defense upgrades, freeing up operation and maintenance manpower.
Secondly, through AI-based data analysis and mining, server, switch and SSD failures can be predicted in advance, reducing the risk of data center downtime.
Thirdly, deep learning is introduced to achieve energy saving in the data center. Artificial intelligence modeling is used to analyze and predict data center resource utilization, combined with the virtual machine migration function, to rationally schedule data center resources according to business needs to maximize energy saving potential.
Youfu Network has multiple high-level cloud computing data centers in Beijing, Shanghai, Shenzhen, Guangzhou and other places, and has more than 20 years of experience in cloud computing data center operation and management. In many years of operation, Youfu Network has accumulated a large amount of equipment operation data, and gradually formed an industrial closed loop of data accumulation, data processing, data analysis, and data application.
The data center is a whole. In order to ensure the stable and efficient operation of the data center and improve the overall management efficiency, the importance of operation and maintenance management has become increasingly prominent. While forming a closed loop of operational data, Youfu Network applies OCR automatic identification, RFID radio frequency technology and AI technology to equipment data to build a unique data center inspection and analysis model. At the same time, a data center AI smart inspection system is created by combining Youfu's characteristic inspection analysis model with standardized operation and maintenance service management, which standardizes the inspection and maintenance operations of operation and maintenance personnel and realizes operation and maintenance. The work is intelligent and efficient, and its operating logic can not only be applied to the safety inspection of internal equipment in the data center, but can also be applied to physical buildings in various industries with the same inspection logic.
Over the years, Youfu Networks has insisted on high R&D investment, leading innovation in cloud computing and data center empowerment, exploring smart data center operations with AI technology empowerment, setting a leading benchmark for carbon emission reduction with comprehensive energy technology applications, and being neutral and trustworthy. Our cloud technology empowers us to create an on-demand and customized cloud experience, providing professional services and solutions to users in various industries such as finance, education, scientific research, new retail, life sciences, etc., and helping the industry continue to move towards digitalization, intelligence, and wisdom. Provide technical support for the development of the digital economy.