Sensor Simulator Dashboard

The Factory Sensor Simulator Dashboard serves as a specialized gateway for interacting with a massive synthetic dataset designed for Industry 5.0 applications, specifically focusing on predictive maintenance and anomaly detection. This interface manages data from over 500,000 simulated machines, ranging from CNC mills and robotic arms to laser cutters, providing a rich environment for developing industrial machine learning models. The dashboard is structured into three primary analytical views: AI Override Events and Error Codes for tracking automated system interventions, Sum of Failure History Count for identifying recurring mechanical issues, and Last Maintenance Days Ago to monitor the health and service cycles of the fleet. With core sensor data spanning temperature, vibration, hydraulic pressure, and oil levels, the tool allows users to filter across a vast timeline—stretching from 2000 to 2014—and search by specific machine types or IDs to simulate realistic operational metrics and maintenance records in a futuristic smart factory setting.