1756-L7SP Under the guidance of the “double carbon” goal, the demand for energy conservation and carbon reduction of enterprises is becoming more urgent, and it also provides more possibilities for AI applications.
In the HVAC energy-saving optimization project of a bank data center in Northeast China, Schneider Electric adopted intelligent cold station solutions to optimize the chiller site. One week after the optimization strategy was implemented, the results showed that the rated operating condition performance (COP) of the data center chiller improved by nearly 20% and the average power consumption decreased by 16.4%.
The explosion of AI is giving the data center industry room for market growth of up to 20-30% per year. Relying on cutting-edge industry insights and rich practical experience, Schneider Electric provides green and efficient hardware products such as power supply and distribution equipment and cabinets for data centers based on innovative technologies and solutions, and also provides application software tools for managing AI clusters, and has derived successful cases.
Taking the transformation of the HVAC system in the above data center as an example, the application of energy saving is an important part of the overall energy efficiency of pharmaceutical, electronics, data center and other users. Schneider Electric Intelligent Cold War solutions, combined with AI modeling and data analysis algorithms, can help users build intelligent “brains” of the system layer, while ensuring the normal operation of the system, to achieve more than 10% energy efficiency improvement, and more than 50% personnel efficiency improvement.
Schneider Electric combines AI technology with its own technology and experience in the field of industrial automation and energy management, and actively empowers users in different industries such as industry, buildings, and infrastructure to accelerate energy conservation and carbon reduction and intelligent opera1756-L7SP tions. Project data shows that Schneider Electric’s AI-based solutions can help users achieve annual energy consumption reductions of 5-10% and efficiency improvements of 3-5%.
“The integration and innovation of AI and application scenarios is the key variable to promote the transformation of digital intelligence, and it is also the inevitable path to accelerate the green collaborative transformation.” In Ding Xiaohong’s view, Schneider Electric provides more possibilities for the digital green collaborative transformation of enterprises by constantly exploring and innovating the integration of AI and different application scenarios.
The key engine of China’s intelligent manufacturing
After 46 years of reform and opening up, China’s industry is upgrading from the original “made in China” to “made in China”. AI scenario application is a key engine for intelligent manufacturing in China, and the industry is full of expectations.
At the Schneider Electric 2024 Innovation Summit, Li Chong, general manager of Beijing S1756-L7SP huanghe Pharmaceutical Equipment Co., LTD., bluntly said, “In recent years, artificial intelligence has been applied to our products. We have a device called blister packaging machine, mainly used for pill packaging. Two years ago, we introduced convolutional neural networks based on large model power to replace normal camera detection. In the past, the detection system could only check for missing pills, but now with deep learning, it can not only detect missing pills, but also automatically identify the quality of the finished product.”
“To use a popular phrase, the more you use it, the better it gets.” “The person said.
More and more enterprises are introducing AI technology and constantly exploring the integration of AI and different application scenarios. According to the World Economic Forum, AI technology has been deployed in the global lighthouse factory application cases, accounting for more than 60% of all applications, and resulting in more than 30% of business performance.
Based on 100 years of industrial manufacturing and electrical experience, Schneider Electric’s advantage is that its customer resources in more than 180 countries and different categories of manufacturing make it rich in industrial scenarios and data resources, and integrate AI technology with specific scenarios in the field of energy management and industrial automation to lead the digital transformation of the real industry.
In this new wave of AI scenario-based applications in industry, Schneider Electric is not only an enabler of AI scenario-based applications, but also a practitioner.
