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Pulp & Paper
By leveraging AI for process edge operations, we can increase production capacity and quality,
reduce energy consumption, lower carbon emissions, and enhance the implementation of ESG standards.
This approach achieves process optimization and high equipment reliability while generating detailed ESG reports
in real-time, thereby enhancing transparency in industry governance.
It ensures that the industry meets standards and further drives green transformation.
Refiner
Screens
Thickener
Bleaching
Wood
Chipper
Digester
Screens
Bleaching
Hot Dispersion
Wastepaper
Pulper
Screens
Pulping
Mixed
Deinking
Re-reeler
Paper Machine
Glitter winder
Roll Packing
Re-reeler
centrifugal decontamination
Grinding Pulp
Cutter
Sorting
Packaging
Pulp Production
．Conduct in-depth analysis of historical data and real-time data, dynamically adjust operational parameters, maximize energy efficiency,
and reduce energy consumption and costs.
．Utilize AI learning technology to analyze production data for optimizing process parameters.
．Use AI to analyze historical data to optimize the use of chemicals and energy, reducing costs.
．Estimate the remaining lifespan of equipment through AI models, optimize equipment replacement plans, and reduce maintenance costs.
．Predict potential failures, arrange maintenance in a timely manner, and prevent unexpected downtime.
For more information, please feel free to contact us
Preparation of papermaking material
．Real-time monitoring of various parameters during the process to ensure high reliability
of the manufacturing process.
．Achieve precise adjustments with AI to reduce energy consumption and raw material waste.
．Predict potential failures, arrange maintenance in a timely manner,
and prevent unexpected downtime.
For more information, please feel free to contact us
Paper Production
．Real-time monitoring of various environmental parameters during the process, with dynamic
adjustments to ensure process stability.
．Achieve smart monitoring to reduce energy consumption and raw material waste.
．Collect and analyze operational data to predict potential equipment failures
and issue early warnings.
For more information, please feel free to contact us
Paper Processing
．AI-based intelligent quality inspection system for automatic detection and classification
of paper defects, enhancing the accuracy and efficiency of quality control.
．Achieve precise adjustments with AI to reduce energy consumption and raw material waste.
．Collect and analyze operational data to predict potential equipment failures
and issue early warnings.
For more information, please feel free to contact us
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