Bringing innovation to control systems in the manufacturing industry! Space-saving storage is possible within control panels.
"E-Smart MPC (Edge・Embedded・Economical Smart MPC)" is a groundbreaking AI control controller that breaks through the limitations of conventional PID control and solves the implementation challenges of reinforcement learning. It is equipped with our proprietary Smart MPC technology on robust hardware based on the industrial Raspberry Pi 5. With a compact size that can be stored in a control panel, it facilitates easy implementation in manufacturing sites. 【Features】 ■ Fast Learning: Acquires optimal control in just a few episodes ■ Space-saving: Can be stored within a control panel ■ Maintenance-free: Automatically adapts to environmental changes through online learning *For more details, please refer to the related links or feel free to contact us.
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【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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"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.