We are currently experiencing an era of productivity transformation, characterized by "Industry 4.0", "New Quality Productivity", and "Artificial Intelligence+". In March of this year, "Artificial Intelligence+" was first included in the government work report, which means that we will accelerate the formation of new quality productivity driven by artificial intelligence.

In the process of transforming traditional industries into new industries, creating tangible value with cutting-edge technology is a necessary path. Schneider is further breaking down the barriers between IT and OT, delving into the entire lifecycle of enterprises from design, construction to operation and maintenance, and putting the iterative driving force of AI technology on productivity into practice.

In the early stages of R&D and design, Schneider is revolutionizing traditional software development methods with AI technology, such as using large models to assist in generating basic code and helping check code integrity, saving engineers a lot of repetitive work and injecting more vitality into the development of new technologies and features. In key production and manufacturing processes, AI technology is used to assist factories in improving quality and efficiency, such as through AI intelligent decision-making to help coordinate multiple factors and develop precise production plans; Through AI visual inspection, efficiently identify product defects and improve product quality.

In the process of operation and maintenance management, Schneider is using AI algorithms and machine learning to help enterprises efficiently manage asset equipment, improve operational efficiency, optimize energy use, and enhance the efficiency and resilience of operation and maintenance.

Deep integration of scene technology and application

• Process optimization

Schneider utilized AI algorithms to develop intelligent control strategies, providing a disruptive production line optimization solution for a certain beer manufacturer. By aggregating, analyzing, and keenly monitoring the entire production data, as well as predicting and fine-tuning the optimal control strategy, we have helped customers achieve 20% material savings and 15% production efficiency improvement while ensuring safe and high-quality production.

• Carbon reduction throughout the entire industrial process

In an application example of a chemical enterprise, Schneider deployed a customized machine learning model to monitor six carbon emission sources of a vacuum distillation unit. This model utilizes the AVEVA PI System to operate a big data management platform that analyzes data streams every 5 minutes, providing timely feedback on potential deviations in carbon dioxide emissions. This enables operators to quickly respond, investigate root causes, and make targeted adjustments to optimize processes and minimize carbon dioxide emissions to the greatest extent possible.

• Refined management of energy consumption

Schneider provides an ice machine cooling capacity prediction solution for a semiconductor enterprise, based on AI algorithms and historical data of ice machine operation, to accurately predict the cooling capacity of the demand side. By more precise control of energy demand, we can achieve refined management of energy consumption. The actual test data shows that the energy-saving effect of this scheme reaches 3-5%. If the supporting hardware is modified, a comprehensive energy-saving of 5-10% can be achieved.

• Energy efficiency improvement of air compressor

Schneider achieves optimized control and intelligent management of air compression stations through AI intelligent algorithms, helping enterprises significantly improve energy efficiency. In the station management system project of a certain new energy vehicle enterprise, through data collection, modeling, and analysis, the optimal operating parameter suggestions were provided for the comprehensive station air compression station control system and HVAC control system of the factory, achieving control logic optimization and energy-saving efficiency improvement, enabling the enterprise to achieve twice the result with half the effort in building an efficient, energy-saving modern and green factory.

With the rapid development of digital technologies such as artificial intelligence, the global industry is undergoing significant changes. Schneider will adhere to innovation driven approach, promote the deep integration of AI technology with specific application scenarios in more industries, and work together with more partners to create industrial influence, moving towards a smarter, more innovative, and sustainable future industry.