AI Control Controller for Air Conditioning 'E-Smart MPC'
Optimizing air conditioning energy with AI control. Smart MPC balances "comfort" and "energy saving."
Air conditioning systems in buildings and factories are one of the largest sources of energy consumption throughout the year. Optimal control is required depending on the season, outside temperature, and operational status, but traditional PID control struggles to respond to disturbances, leading to excessive heating and cooling and waste from standby operation. Smart MPC predicts future states based on outside temperature, room temperature, and operational data, executing optimal operation in real-time. It achieves high-efficiency operation without excessive energy use while maintaining comfort. ■ Features - Space-saving design that fits directly into control panels - No tuning required with GUI operation - Can be implemented in a short period even without knowledge of air conditioning control *For more details, please refer to the related links or feel free to contact us.
basic information
【Hardware Specifications】 ■Processor: Cortex A76 (4 cores) ■Memory: 8GB RAM ■Storage: 32GB (for system and learning data storage) ■Enclosure: Compatible with control panel storage (compliant with industrial standards) ■Power Supply: DC24V (industrial standard) ■Operating Temperature: 0 to 50℃ ■Network: Gigabit Ethernet × 2 ports ■Communication Protocol: Modbus TCP compatible *For more details, please refer to the related links or feel free to contact us.
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Applications/Examples of results
Challenges in Control Faced by Manufacturing Sites Like This" ■ Limitations of PID Control ■ Human Burden of Control Adjustment ■ Barriers to the Introduction of Advanced Control Technologies *For more details, please refer to the related links or feel free to contact us.
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Proxima Technology harnesses the power of mathematics, specifically through mathematical algorithms such as machine learning, optimization, control, and 3D data analysis, to implement solutions in society. We provide AI products that contribute to the operations of everyone, particularly those in the manufacturing industry. The manufacturing environment is one where complex variables intertwine, requiring the maintenance of optimal production processes. We achieve autonomous optimization of production equipment by utilizing real-time data analysis and suitable control algorithms powered by AI.