Online defect detection: Real time recognition of glass surface defects such as broken edges, missing corners, bright edges, burnt edges, bubbles, stones, etc., supporting AI visual recognition, with a missed detection rate of less than 0.1%.
Integrity testing: After processes such as edge grinding, tempering, and stacking, the position, posture, cutting specifications, and integrity of the glass are automatically detected to guide the robot in stacking.
Multi source data collection: Integrate process parameters such as temperature, pressure, thickness, transmittance, vibration, etc., and collect them in real-time through an Industrial Internet of Things (IIoT) gateway.
Quality data management: Establish a linkage analysis model of "testing data production data" to support full process quality traceability and batch management.
Intelligent alarm and remote control: Abnormal data automatically triggers WeChat, SMS, email and other alarms, and supports PLC remote adjustment of process parameters.
Digital twin and visual dashboard: integrating core indicators such as OEE, energy consumption, and yield rate, providing a cockpit style monitoring interface