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Cement
By leveraging AI for process edge operations, production capacity and quality are improved, energy consumption is reduced, carbon emissions are lowered, and the implementation of ESG standards is strengthened.
This approach optimizes processes and ensures high equipment reliability while
generating detailed ESG reports in real-time, thereby enhancing the transparency of industry governance.
It ensures that the industry meets standards and further drives green transformation.
Clay
Lime Stone
Cement Silo
Package
Raw Mill
Cement Mill
Raw Mill Silo
Clinker Silo
Gypsum
Suspension Preheater
Rotary Kiln
Raw Material Grinding
．Utilize AI technology to monitor key parameters in the grinding process in real-time, automatically adjusting equipment operation to achieve optimal grinding results.
．Use AI models to predict energy consumption under different operating conditions, and identify the optimal operating mode to reduce energy consumption.
．Leverage AI to analyze operational data, predict potential equipment failures, and perform maintenance in
advance, reducing downtime and maintenance costs.
For more information, please feel free to contact us
Clinker Burning
．Optimize operating conditions with AI to reduce harmful gas emissions.
．Use AI to adjust operating parameters, enhancing quality and efficiency.
．Continuously collect and analyze energy consumption data during the burning process, identify energy peaks, and implement corresponding energy-saving measures.
For more information, please feel free to contact us
Cement Grinding
．Identify equipment failure modes, provide maintenance recommendations,
and improve repair efficiency.
．Automatically adjust the operating conditions of the grinding machine based
on production requirements and real-time data.
．Predict energy consumption under different operating conditions to help
identify the optimal operating mode for reducing energy consumption.
For more information, please feel free to contact us
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