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Automotive
By leveraging AI for edge operations in processes, we enhance production capacity and quality, reduce energy consumption, lower carbon emissions, and strengthen the implementation of ESG standards.This approach achieves process optimization and 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.
Coil Material Storage
Uncoiling
Straightening
Forming
Flanging
Shaping
Punching
Edge Trimming
Body Assembly
Body Welding
Panel Installation
Cleaning
Drying
Topcoat Application
Primer Application
Sealant Application
E-Coating
First-Stage
Interior Assembly
Chassis Assembly
Second-Stage
Interior Assembly
Testing
Welding Process
．Optimize the motion path of welding robots to ensure high efficiency and precision in the welding process.
．Analyze the impact of different parameters on product quality and optimize parameters through simulation.
．Utilize AI technology to monitor welding process parameters in real-time, identify anomalies, and adjust parameters to ensure weld quality.
For more information, please feel free to contact us
Coating
Process
．Real-time monitoring and analysis of environmental conditions to automatically adjust coating parameters and prevent defects.
．Analyze the impact of different parameters on coating quality and optimize parameters through simulation.
．Automatically inspect coating thickness, color, and surface defects, rapidly identify issues, and provide real-time feedback.
For more information, please feel free to contact us
final assembly process
．Optimize assembly through AI, such as torque, installation sequence, and tool usage, to ensure each component meets quality standards.
．Analyze equipment operating data, predict equipment failures, perform proactive maintenance,
and reduce the risk of unexpected downtime.
．Utilize AI to analyze vehicle inspection data, quickly identify vehicle defects, and enhance the accuracy
and efficiency of inspections.
For more information, please feel free to contact us
Stamping Process
．Utilize AI algorithms for material cutting and layout optimization to reduce material waste, thereby lowering costs and improving production efficiency.
．Analyze the impact of different parameters on product quality and optimize parameters through simulation.
．Monitor equipment operating data in real-time, predict potential issues in the stamping process, issue warnings for potential failures, and reduce downtime.
．Estimate equipment remaining lifespan using AI models, optimize equipment replacement schedules, and reduce maintenance costs.
For more information, please feel free to contact us
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