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AI control product for industrial furnaces "Eco Furnace"

Introduction of an AI control product that achieves energy savings and CO2 reduction in industrial furnaces.

In recent years, the environment surrounding industrial furnaces has changed significantly. Rising energy prices, societal demands for decarbonization, a shortage of skilled personnel, and the limitations of existing control methods in equipment operation are all pressing issues. In many manufacturing sites, the need for "more efficient and more stable operations" and "reducing CO₂ emissions and fuel costs" has never been higher. To address these challenges faced by users, we introduce Proxima Technology's AI control solution, "EcoFurnace." With our proprietary AI "Smart MPC," we achieve up to a 25% reduction in fuel, electricity, and CO₂ emissions, improve control accuracy, reduce fluctuations by up to 80%, and shorten startup time by up to 60%. It also automatically optimizes responses to disturbances and equipment degradation, which were difficult to manage with existing PID control. Installation is straightforward; simply connect the PLC, LAN, and PC, and you can start using it as soon as the same day by configuring it through a browser. The Grafana-based dashboard visualizes operational status, significantly reducing the adjustment burden on-site. Please feel free to contact us for document requests or demo presentations.

Related Link - https://ecofurnace.proxima-ai-tech.com/

basic information

CPU: Cortex A76 (4 cores) RAM: 8GB Storage: 32GB

Price range

Delivery Time

Applications/Examples of results

Temperature control of glass melting furnaces, hydrogen burner furnaces, rotary kilns, etc., leading to energy savings and CO2 reduction.

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AI control product for industrial furnaces "Eco Furnace"

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Distributors

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.