Production monitoring systems collect data from various sources on the production line, including machinery, equipment, and personnel. This data is analyzed in real-time, providing managers and staff with a comprehensive view of the production process and allowing them to make informed decisions about production operations.
Smart Sensor is a predictive maintenance system that allows equipment information to be monitored with smart sensors that are mounted on it and display problems and solutions to the users. Thanks to role-based management, the equipment information is displayed according to the user levels. The system is dynamic so new users can be added, different roles can be added and changed.
Predictive maintenance is a strategy that uses sensors and data analysis to predict when equipment is likely to fail or require maintenance. Robotic predictive maintenance involves using robots to perform these tasks, which can be more efficient and safer than relying on human workers. The main advantage of this approach is that it can help to minimize equipment downtime by identifying and addressing potential problems before they cause equipment failure.