In modern manufacturing industries, CNC (Computer Numerical Control) machine tools serve as the core equipment of automated production lines, with their operational status and efficiency directly determining the overall production efficiency and product quality.

 To monitor the status of machine tools in real-time, optimize production processes, and enhance production efficiency, the data collection and visual display of CNC machine tools are of paramount importance. By collecting real-time operational data from CNC machine tools and displaying it on workshop data dashboards, enterprises can achieve comprehensive monitoring and management of the production process.

The data collected from CNC machine tools includes key information such as coordinate axis positions, speeds, accelerations, feed rates, and tool holder information.

 This data is transmitted to the data dashboard via a Wutongbolian (or equivalent) data acquisition gateway and displayed in real-time in both numerical and graphical formats. Workshop managers and operators can intuitively understand the operational status, production progress, and any anomalies of the machine tools through the data dashboard, enabling them to take timely measures for adjustments and optimizations.

Implemented Functions

1. Real-time Monitoring: Enables centralized monitoring and display of various device-collected data, including operational status, start times, runtime durations, processing records, and utilization rates.

    This facilitates reasonable measures to enhance machine tool utilization and ensure timely order delivery.

2. Automatic Alerts: In the event of fault alerts, automatic notifications are sent to managers via SMS, email, or other means, allowing them to quickly view information about the affected device, its location, and the cause of the fault for prompt and accurate troubleshooting.

3. Workshop Dashboard: Unifies the display of operational status and production progress of each machine on the workshop data dashboard, enabling a global perspective for macro-management.

    This aids in making informed decisions to boost overall production efficiency and management levels.

4. Data Sharing: Integrates alarm data with maintenance systems to effectively support equipment maintenance and inspection activities. It can also be linked to ERP systems to facilitate the dynamic flow of production elements such as products and materials, enhancing collaborative work efficiency.