- What is it?
- Predictive maintenance (PdM) techniques are designed to help determine the condition of in-service equipment in order to predict when maintenance should be performed.
- What problems does it solve?
- Tries to eliminiate "unplanned stops" to replace with "planned stops"
- Tries to reduce maintenance costs
- How is it related to the IoT?
- For Predictive Maintenance, equipment condition is constanly monitored, this meshes well with IoT (multiple devices need monitoring).
- Examples:
- Industrial Manufacturing
- Conumer Packages & Goods
- Healthcare
- Which role does data analytics play?
- Failure Data helps in predictive monitoring
- How does a heartbeat monitor in a network work?
- It pings a device and expects a response ("heartbeat").
- What can it be used for?
- To check if a sensor / device is still active
- What can be secured in an IoT system with this type of monitoring?
- That inactive sensors can immediatly be found
- What feature in ulnoiot already supports hearbeats?
- MQTT can be used to realize heartbeats
- Is this predictive maintenance (or what would need to be added)
- No, since it only sees, if a system is still active and does not predict anything
- Use backup nodes, when node fails