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