The IO-Link technology makes it possible to continuously collect and process data and to control the sensor. This allows users to implement predictive maintenance and to monitor operation in machines and assembly lines. Processing the multitude of data requires users to invest know-how and time. Panasonic has developed a self-diagnosis function for each sensor type. This function sends sensor data via IO-Link to a higher-level fieldbus, thus informing about the state of the sensor directly. This way, the amount of production data and the work needed to analyse the data is reduced.
A step towards IoT
To ensure smooth operation on the production floor, it is important to keep the machine downtime to a minimum. The new IO-Link technology permanently generates data on the sensor level and transmits them to a PLC for processing. The result is a large amount of data waiting to be analysed so that they can be used in a meaningful way. The right information helps to take effective measure in the case of a failure in the shortest possible time. To find out at an early stage why a component has failed is a big advantage. Panasonic’s IO-Link sensors are equipped with a self-diagnosis function which outputs individual failure information for each sensor type, for example when the amount of light received has deteriorated. This way, you receive error messages specifically for the problem at hand without extra programming effort.
Thanks to predictive systems, IoT helps to reduce maintenance time. For sensors with a self-diagnosis function, users only need to monitor the parameter value that informs about whether the sensor is still working properly.