Boiler Control Controller "E-Smart MPC"
AI optimizes boiler control. Efficiently manages fuel and steam.
Steam boilers are essential equipment that can be considered the heart of many factories. In PID control, there tends to be excessive combustion in response to load fluctuations and changes in steam demand, leading to issues such as fuel waste and increased CO2 emissions. Smart MPC anticipates steam demand and boiler conditions, optimizing combustion and water supply in real-time. It minimizes unnecessary combustion and startup delays, achieving both stable supply and energy savings. ■ Features - Easy retrofitting to existing boiler control panels - AI automatically optimizes, no operator adjustments needed - Easy integration with safety controls *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 of control faced by manufacturing sites like this: ■ Limitations of PID control ■ Human burden of control adjustments ■ 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.