Embedded AI Control Controller "E-Smart MPC"
Attention equipment manufacturers! We are entering an era where AI integrates control. Elevate your equipment's competitiveness to the next stage with Smart MPC.
An era where energy efficiency and control performance determine the value of equipment. AI × MPC (Model Predictive Control) will revolutionize the precision, flexibility, and energy-saving capabilities that traditional PID control has struggled with. 'E-Smart MPC' is an embedded AI control controller developed based on industrial Raspberry Pi. It resolves the challenges of traditional MPC, such as "difficulty in model construction," "computational load," and "complex tuning," achieving a design that can be easily implemented by equipment manufacturers. - All-in-one design that fits directly into control panels - Intuitive operation via GUI and automatic tuning function - Pre-trained AI that executes optimal control instantly By embedding "intelligence" into the equipment itself, it simultaneously achieves energy reduction, stable operation, and improved maintainability. A new added value of "Smart MPC equipped" for your products. *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: MELSEC Communication Protocol etc. *For more details, please refer to the related links or feel free to contact us.
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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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The unique control AI product "E-Smart MPC," which easily implements model predictive control from within the control panel, has been updated to be even more user-friendly with a rich GUI!
We are pleased to announce a significant update to the user interface (GUI) features of our proprietary optimal control AI, "Smart MPC," in its embedded product version, "E-Smart MPC." With this update, you can complete everything from initial setup to operation using only the GUI, meaning no programming is required (no-code), allowing for a smooth user experience! For more details, please watch the video in the "Related Links"! *Related Links Video: How to Use: Setup and Control Demonstration in just under 2 minutes.
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[Tokyo Big Sight 1/21~1/23] Factory Innovation Week 2026 Exhibition | Achieving 5-15% Energy Savings with AI Control
We will showcase the control AI "Smart MPC" that realizes optimization of manufacturing site control. ■ Event Overview Date: January 21 (Wed) - 23 (Fri), 2026, 10:00-17:00 Venue: Tokyo Big Sight, South Hall 4 Exhibition: Factory Innovation Week 2026 ■ Features of Smart MPC Achieves AI control without specialized knowledge through Model Predictive Control × Machine Learning - Energy-saving effect: 5-15% reduction - Implementation period: as short as 3 days (data collection operation starts) - Temperature accuracy: ±0.2℃ (PID ratio ±0.5℃ → ±0.2℃) - Automatic adjustment: Adapts to aging degradation through online learning ■ Solving these challenges ✓ Time-consuming PID parameter adjustments ✓ Difficulty in complex multivariable control ✓ Control quality instability due to lack of skilled personnel ✓ Desire to balance energy savings and quality A team of 36 engineers, including 20 with PhDs, will solve manufacturing site challenges using advanced mathematical optimization techniques. We will present live demonstrations and case studies at the venue. Please visit our booth.
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Next-Generation Smart Control to Reduce 'Control Waste' That Was Difficult to Achieve with PID Control in Air Conditioning, Furnaces, Boilers, etc.
Due to the soaring energy prices and the need for carbon neutrality, energy reduction has become an urgent issue in the manufacturing industry. However, the currently mainstream PID control is insufficient in responding to complex processes and sudden disturbances, leading to "control waste" caused by excessive control actions and standby operations. Additionally, adjustments require advanced experience, and issues of dependency on specific individuals and black-boxing are also challenges. In this seminar, we will introduce "Smart MPC," which addresses these challenges. This control technology, which combines machine learning and optimization techniques, enables high-precision predictive control by anticipating environmental changes from past operational data, even without specialized knowledge. It significantly reduces energy costs in air conditioning, furnaces, boilers, and more. The embedded "E-Smart MPC," set to be released in July 2025, can be directly mounted onto control panels and allows for quick implementation through GUI operations. If you are involved in the manufacturing industry and are considering energy cost reduction or control optimization, please join us. Date and Time: November 28, 2025 (Friday) 13:00-14:00
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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.