AI Artificial intelligence technology is an important driving force for new industrialization. With the gradual landing of AI technology in the industrial field, the process of industrial digitalization has entered a new stage – the integration of AI technology and industry knowledge will bring great improvements in productivity and efficiency. In the industrial sector, by combining cutting-edge technologies such as AI, large language models, and machine learning with industrial automation expertise, enterprises can achieve highly intelligent industrial automation from the dimensions of quality and yield prediction, predictive maintenance, and human-machine collaboration.

1394C-SJT05-L-RL At present, Schneider Electric has applied AI technology to specific scenarios in the field of energy management and industrial automation to help users accelerate energy conservation and carbon reduction and intelligent operations. From production scheduling prediction, water cooling equipment control such as pumps and frequency conversion, beer filtration process optimization, automobile painting process optimization, to the energy saving of HVAC equipment such as chillers and air compressors and other physical scenes, Schneider Electric can be seen to enable users through AI technology.

Next, let’s take the HVAC cold station scene as an example to see how AI technology can play a value.

Hvac cold station AI optimization scheme to help users achieve optimal control and intelligent energy saving

Hvac systems can control the temperature and humidity of the air and play a pivotal role in pharmaceutical, electronics, mission critical facilities, data centers and other fields and industries. As the cold source part of the air conditioning system, the air conditioning refrigeration station undertakes the task of providing chilled water for the air conditioning system. The low-carbon and stable operation of the cold station is related to the energy saving of the entire air conditioning system and the overall energy efficiency of the user.

1394C-SJT05-L-RL Traditionally, enterprises usually use PID control methods for single-loop closed-loop control, and rely heavily on the experience of field operators. Because it is a control system for a single loop, each system is adjusted in isolation, and lacks the ability to optimize the whole system and forecast the cold station load, which can neither achieve the maximum cooling efficiency nor guarantee the safe and stable operation. In this regard, Schneider Electric intelligent cold station solution combines AI modeling and data analysis algorithms to build an intelligent “brain” of the system layer, predict the load and energy consumption of the system as a whole, and find a global optimization control mode, so as to use the checked system model to find the best efficiency point of the room operation in real time, and the energy saving rate can be increased by more than 10% compared with traditional energy saving methods.

At the same time, the intelligent cold station solution combines AI technology with PID control, without affecting the existing PID control, to provide effective safety and fault detection for the system, ensure the normal operation of the system, and bring more than 50% personnel efficiency improvement, to achieve efficient operator duty and equipment safe and stable operation. Specifically, the solution will achieve system optimization from the following four steps: