Performance Monitoring

Machine/robot real-time performance monitoring generates data that can be used to evaluate machine operational conditions and efficiency, needed for required perfective maintenance (PdM) and others smart factory applications.

Predictive Maintenance

Predictive maintenance (PdM) techniques are designed to help determine the condition of equipment in order to predict when maintenance should be performed or possible breakdowns. Predictive main[1]tenance promises cost savings over routine or time-based preventive maintenance, as the tasks are performed only when warranted.
Predictive maintenance measures include:
Vibration / Pressure / Temperature / Flow Rate / Weight / Torque / Speed / Stroke / Humidity / Level Sensors

Energy Consumption Monitoring

Energy Consumption Monitoring system enables you to analyze the performance and energy efficiency of your facility and equipment at any time, identifying the prioritize corrective measures instantly. The platform easily allows you to generate detailed follow-up reports that provide a breakdown of all equipment, buildings and energy systems connected to the platform. These reports can be used by those working in operations, finance and environmental projects to give them immediate access to real-time information allowing them to make the right decisions.