Using Cellular IoT for Predictive Maintenance

This webinar explains how cellular IoT and embedded machine learning support predictive maintenance by identifying failure patterns and scheduling maintenance before breakdowns. It compares LPWAN and cellular options, cloud versus device-side processing, and power considerations for battery-operated deployments.

Syllabus

Practicalities and agenda
Introduction
Current LPWAN Landscape
LTE-M and NB-IoT Coverage Map
LTE IoT Technologies overview
Are Cat 1 bis suitable for massive IoT deployments?
Cellular evolution 2G to 5G
LTE categories evolution
What will happen with 2G/3G/4G
Different types of maintenance
Predictive maintenance overview
Where would it make sense to use predictive maintenance?
Why use cellular IoT for predictive maintenance?
Process data on the cloud or device side?
What to consider when implementing ML
Benefits of using ML in predictive maintenance
Cellular radio power consumption
Break-even comparison - LTE vs. CPU
The advantages of nRF9160 SiP
Q&A