REPAIR & MAINTENANCE
Predictive Maintenance with IoT
IoT sensors are able to detect whether there’s something going wrong with a machine or use machine learning to make a prediction, and our system would plan maintenance automatically. Thus, you can prevent equipment from breaking down in the first place, enabling you to minimize the cost of maintenance.
Use Cases:
-
Real-time monitoring
-
Products can be measured and monitored in real-time, giving a clear and accurate picture of their performance – and identifying any issues with their performance in good time.
-
-
Preventative maintenance
-
Instead of arbitrarily servicing products at fixed periods, IoT allows problems to be identified before they become major issues, saving on repair bills and increasing the lifespan of your products.
-
-
Remote Diagnosis
-
Where problems do occur, they can often be diagnosed remotely, saving customer callout fees.
-
-
Ensure Workplace Safety
-
Predictive maintenance has a direct impact on worker safety. Equipment that isn't properly maintained or machines that are prone to malfunction without warning pose a severe risk to the health and safety of manufacturing workers.
-
Benefits:
-
Predicting and Preventing Hardware Failures
-
Optimizing Maintenance Routines
-
Strengthening Workplace Safety