Intelligent Control

Intelligent Control

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AI Monitoring System for the Production Process

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Process Digital Twin Modeling

Production Risk Perception and Localization

Optimal Operation Intelligent Recommendation

Knowledge Accumulation and Process Improvement

Application scenarios:Functional Film Manufacturing | Cigarette Production and Manufacturing | Lithium-Ion Battery Manufacturing

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AI Optimization of Core Process Parameters and Process Control System

A self‑closed loop of “comprehensive sensing–autonomous decision‑making–precise execution” enables intelligent production across core processes such as coating, film formation, drying, and water addition. When operating conditions change, it automatically identifies new optimal process parameters; during stable operation, it dynamically adjusts control variables in real time, compensating for subtle variations in incoming materials and throughout the process. This significantly enhances product quality consistency, reduces labor requirements, and minimizes material waste.

System-level collaborative AI optimization

Real-time Dynamic Prediction and Compensation Control

One-Click Startup and Autonomous Exception Handling

Independent Process Improvement

Application scenarios:Tobacco Silk Production Line | Lithium Battery Production Line | Stamping Line

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Comprehensive Energy Consumption AI Optimization System

Empowering intelligent energy‑control solutions for public‑utility facilities through industrial IoT and AI technologies. This enables precise energy supply and holistic energy‑efficiency optimization across scenarios such as chiller rooms, compressed‑air stations, heating plants, and terminal air‑conditioning systems, accurately aligning energy delivery with demand to achieve optimal system‑wide efficiency and maximize the value of every kilowatt‑hour.

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System Co-Optimization

Digital Twin Simulation

Dynamic Parameter Adjustment

Intelligent Anomaly Diagnosis

Application scenarios:Industrial Production | Large Public Buildings | Commercial Complexes | Data Centers

AI-Optimized Comprehensive Energy Consumption

By deeply integrating industrial IoT with artificial intelligence, the system dynamically adjusts energy‑supply parameters to achieve precise energy delivery and holistic energy‑efficiency optimization, maintaining optimal, high‑efficiency, energy‑saving operation year-round and maximizing the value generated by every kilowatt-hour of electricity.

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Multi-level, in-depth energy conservation

Energy Consumption Forecasting

Mechanism model

Personalized customization

Application scenarios:Industrial Production | Large Public Buildings | Commercial Complexes