Monitoring software

data acquisitionprocessreal-time

In the production process, the inability to predict robot failures in advance can cause production line downtime and affect productivity. ESTUN's Equipment Health Monitoring and Predictive Maintenance APP collects robot axis position, real-time torque and other equipment operating information, draws real-time robot status curves, and compares the real-time status curves with the historical status library to assess the health of the equipment. If the health curve reaches a critical value, the equipment is considered to be at risk of failure, and the system automatically generates a failure warning and predictive maintenance work order, which can realize the prediction of equipment failures and warnings and reduce the risk of equipment failure. Health Monitoring and Predictive Maintenance Function Description: Real-time monitoring of the robot's operating status through millisecond-level data acquisition (axis position, torque value of each axis, etc.). Built-in standard health scoring model to intelligently assess the health of the robot. When the health score reaches a critical value, the system immediately issues a warning. Intelligent diagnosis to locate the cause of faults in response to faults that have occurred. Health Monitoring Scope: Mechanical structure loosening, motor abnormality, oil leakage, foreign object jamming, unstable current and voltage, etc. Revenue Analysis: Intelligent failure warning: Reduce the chance of equipment accidental rock, improve stability and service life, to ensure continuous production. Intelligent fault analysis: Improve the efficiency of fault resolution, reduce the job entry threshold of equipment engineers.