CNC Machine Management

With the evolution of industrial automation, machines nowadays are becoming smarter and digitized. CNC machine monitoring solutions play a critical role in IoT integration from edge computing to cloud-based services. 

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CNC Management solution has been developed to bridge the gap from traditional machine management to optimization by facilitating cross-factory machine management in order to improve processing efficiency. It also provides an overview of work order progress, production line availability, and other management services.

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System Diagram

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Cross-Factory Overview on a Map

  • Distribution of manufacturing sites
  • Machine monitoring highlight
  •  7-day Average OEE for each factory
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CNC Monitoring

  • Machine status, downtime, error log
  • Current job information
  • CNC temperature monitoring (spindle, 5-axis)
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Production Line Availability

  • Availability analysis of production lines
  • Trend of machine availability
  • Machine operation history
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Alarm Reporting

  • Alarm ranking by occurrence and duration
  • Alarm highlight (Critical/ Warning)
  • Grouped alarm by failure type

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Real-time Monitoring

  • Machine status, total run time, pause time, downtime
  • Current job information
  • CNC temperature monitoring (spindle, 5-axis)

SMS/ Email Notification

  • SMS or email notification on machine error
  • Maintenance team to take a corrective action

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Features
Cloud-Based Services for Cross-Factory Management CNC services are built on WISE-PaaS, the Industrial cloud platform. The cloud-based services allow user to easily adopt from multiple field sites and manage all data centrally. The cloud system also features with the least effort in data redundancy and system reliability.
OEE Dashboard for Operational Insights Dashboard-based visual OEE indicators with operation history and real-time trends give a clearer overview while improving maintenance efforts.
Quick Alarm Reporting to Identify Action Priorities Downtime duration, an alarm event summary helps users to define key issues with machines and take action to minimize downtime and optimize machine operations.

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