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// Intelligent Monitoring for Enhanced CNC
Machine Operations

Optimizing CNC Workflows with SCADA Integration

Kizwatech SHARP leverages Supervisory Control and Data Acquisition (SCADA) systems to provide a comprehensive monitoring solution for CNC machines. SCADA acts as the central nervous system of your factory, collecting real-time data from various sources, including CNC machines. SHARP integrates seamlessly with SCADA, unlocking valuable insights into machine operations and operator activity.

In today’s manufacturing environment, effective supervision and data acquisition are crucial for optimizing productivity and ensuring operational efficiency. KizwaTech introduces SHARP, a comprehensive solution that monitors SCADA parameters and evaluates operator activities on CNC machines based on pre-defined organizational policies. Leveraging state-of-the-art technologies such as computer vision and deep learning, SHARP revolutionizes the way manufacturing processes

CNC Machine Performance Parameters Monitored by SCADA:

  • Machine ON/OFF Status: Monitor the operational status of CNC machines in real-time, ensuring optimal uptime and efficiency.
  • Machine Alarm Status: Receive immediate notifications and logging of machine alarms, enabling prompt resolution of issues.
  • Machine Production Part Count: Track the number of parts produced by CNC machines for accurate production monitoring.
  • Machine Production Time per Part: Measure the time taken to produce each part, optimizing production scheduling and resource allocation.
  • Machine Standby Time: Identify periods of machine standby to minimize idle time and maximize productivity.
  • Alarm Status Email Notification/Logging: Stay informed about machine alarms through email notifications and comprehensive logging for future reference.
  • Machine Production Efficiency Curve: Visualize machine production efficiency over time to identify trends and areas for improvement.
  • Time Remaining for Material Replacement: Plan material replenishment effectively by monitoring remaining material levels and predicting replacement timeframes.
01
SCADA Data Analysis

SHARP goes beyond basic SCADA data collection. It analyzes the data using state-of-the-art computer vision and deep learning to identify specific work activities performed on CNC machines.

02
Activity Recognition

By analyzing machine status and visual cues, SHARP can accurately identify different work activities, such as loading materials, setting up tools, machining operations, and maintenance tasks.

01
Automatic Activity Start/Stop Logging

SHARP automatically logs the start and stop times of each activity using computer vision, eliminating the need for manual data entry and ensuring accurate time tracking.

02
Intelligent Camera Control

SHARP's camera system can be configured for both manual and autonomous mobility. The camera can be positioned manually to focus on specific areas of interest or programmed to move autonomously based on machine status, ensuring optimal coverage of all activities.

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SHARP Features for Advanced CNC Machine Monitoring

Collect and store data from sensors, PLCs (Programmable Logic Controllers), and other devices, facilitating analysis, reporting, and decision-making.

By identifying and tracking work activities, SHARP helps optimize CNC machine utilization and identify areas for improvement.

Implement robust security measures to protect SCADA systems from cyber threats and unauthorized access, ensuring data integrity and operational continuity.

Kizwatech SHARP with SCADA offers a powerful solution for optimizing CNC machine operations. By leveraging the combined power of SCADA data analysis, computer vision, and deep learning, SHARP empowers manufacturers to achieve greater efficiency, improve data accuracy, and make data-driven decisions for a more productive and profitable operation.

With KizwaTech’s SCADA solutions, industries gain unparalleled control, visibility, and efficiency in their operations. From real-time monitoring to trend analysis, our SCADA systems empower organizations to optimize processes, reduce costs, and achieve operational excellence in today’s dynamic industrial landscape.