We have developed an AI energy-saving algorithm for air conditioning with Shanghai Jiao Tong University. Through on-site data entry (operating parameters and data) + algorithm model (AI optimization group control model, parameter adjustment control model, equipment model AI setting), the core operating parameters of the cold station are actively controlled to achieve the lowest energy consumption, reducing the overall energy consumption by 30%.

Using domestic and foreign first-line brand electrical components and anti-condensation design, the control cabinet has passed the IP65 protection certification and can adapt to extreme high and low temperatures and humid environments, ensuring 7×24 hours of trouble-free operation in special scenarios such as cold chain warehouses and clean workshops.

Integrate digital twin and IoT technologies to monitor equipment status in real time through mobile phones/computers, and use predictive maintenance functions such as vibration analysis and insulation monitoring to detect potential faults in advance and reduce unexpected downtime by 80%.

From solution design, system integration to debugging and operation and maintenance, East China Industrial Control provides full life cycle services, supports BACnet, Modbus and other mainstream protocol docking, is compatible with various brands of equipment, and quickly responds to customers' personalized needs.