Intelligent Control

Intelligent Control

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AI Process Optimization

Comprehensively perceive influencing factors such as raw material properties, equipment status, and environmental conditions, and establish an AI model for the whole manufacturing process. Conduct online AI intelligent adjustment of process parameters to ensure that the production line is always running in the optimal state

 

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Real-time dynamic forecasting

Inline adaptive model

Multi-factor coupling considerations

Application Scenarios:Lithium battery 丨 Food Manufacturing丨 Household Appliances

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AI Production Monitoring

Based on industrial AI algorithm platform, monitor production status, conduct root-cause analysis in real-time, and push corresponding solutions. Reasoning further process improvement based on knowledge graph and Large Language Model technologies

Less labor cost

Consistent product quality

Intelligent anomaly identification

Further Process improvement

Application Scenarios:Functional film manufacturing丨Food Manufacturing丨Lithium Battery

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AI Process Optimization

“Comprehensive perception, independent decision-making, and precise execution”. Closed-loop control of complicated core processes such as coating, film making, drying, and water addition processes, significantly improving product quality consistency, saving manpower, and reducing material waste.

 

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Unmanned production

First-article one-click start

Reduce material waste

Reinforcement learning adaptation

Application Scenarios :Coating Thickness Control丨Rolling Thickness Control丨Film Thickness Control

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AI Energy Consumption Optimization

Through deep integration of industrial Internet of Things and industrial AI technologies, the AI Energy Consumption Optimization System adjusts energy supply parameters to achieve optimal overall energy efficiency. By keeping the power generation and consumption systems running in the optimal operating condition, all year round, each kilowatt-hour of power creates more value than ever.

Multi-level and deep energy conservation

Energy consumption prediction

Mechanism model

Personalized customization

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