Using a range of sensors, paired with microcontrollers, embedded security, and software, the kit allows operators to monitor various parameters of vital components such as compressors, motors, and fans in real time, so that any potential anomalies can be detected immediately.
Time and again, malfunctions in HVAC and refrigeration systems interrupt operations and increase maintenance costs. Predictive maintenance, which is a data-based maintenance strategy for predicting system malfunctions before they happen, can be an effective way to avoid unplanned downtime. To illustrate the benefits of a sensor-based solution, Infineon has collaborated with Klika Tech and AWS to develop a sensor-based evaluation kit. It enables designers to easily evalauate the benefits of condition monitoring and predictive maintenance. Using a range of sensors, paired with microcontrollers, embedded security, and software, the kit allows operators to monitor various parameters of vital components such as compressors, motors, and fans in real time, so that any potential anomalies can be detected immediately. If an anomaly is detected, the responsible maintenance technicians can be informed in good time – before the system fail – to address the problem, e.g. by replacing a worn part or cleaning an air filter.