Using cellular IoT for predictive maintenance
Learn how to leverage cellular IoT technology and embedded machine learning to develop predictive maintenance applications.In this webinar, you will learn how to reduce costs and downtime by predicting failures and scheduling maintenance before a breakdown occurs. We will also investigate the different Low Power Wide Area Network technologies currently available, the current landscape of cellular IoT, coverage, rollout, and the future of this technology. There is also essential to distinguish between low-power cellular IoT and Cat 1 bis, and what these technologies are designed to solve. 0:00 Practicalities and agenda2:25 Introduction2:40 Current LPWAN Landscape 5:20 LTE-M and NB-IoT Coverage Map 6:15 LTE IoT Technologies overview 8:57 Are Cat 1 bis suitable for massive IoT deployments? 12:00 Cellular evolution 2G to 5G 13:29 LTE categories evolution 14:14 What will happen with 2G/3G/4G 15:53 Different types of maintenance18:14 Predictive maintenance overview 19:34 Where would it make sense to use predictive maintenance? 21:45 Why use cellular IoT for predictive maintenance? 23:11 Process data on the cloud or device side? 25:30 What to consider when implementing ML 28:19 Benefits of using ML in predictive maintenance 29:07 Cellular radio power consumption 30:58 Break-even comparison - LTE vs. CPU 32:24 The advantages of nRF9160 SiP 34:50 Q&AThis is a recording of a webinar held on February 8, 2023. The presentation can be downloaded here (direct download): https://devzone.nordicsemi.com/cfs-file/__key/communityserver-discussions-components-files/4/Using-Cellular-IoT-for-Predictive-Maintenance.pdf#cellularIoT #machinelearning
Using cellular IoT for predictive maintenance
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9 February 2023
Duration:
00:46:47
Learn how to leverage cellular IoT technology and embedded machine learning to develop predictive maintenance applications.In this webinar, you will learn how to reduce costs and downtime by predicting failures and scheduling maintenance before a breakdown occurs. We will also investigate the different Low Power Wide Area Network technologies currently available, the current landscape of cellular IoT, coverage, rollout, and the future of this technology. There is also essential to distinguish between low-power cellular IoT and Cat 1 bis, and what these technologies are designed to solve. 0:00 Practicalities and agenda2:25 Introduction2:40 Current LPWAN Landscape 5:20 LTE-M and NB-IoT Coverage Map 6:15 LTE IoT Technologies overview 8:57 Are Cat 1 bis suitable for massive IoT deployments? 12:00 Cellular evolution 2G to 5G 13:29 LTE categories evolution 14:14 What will happen with 2G/3G/4G 15:53 Different types of maintenance18:14 Predictive maintenance overview 19:34 Where would it make sense to use predictive maintenance? 21:45 Why use cellular IoT for predictive maintenance? 23:11 Process data on the cloud or device side? 25:30 What to consider when implementing ML 28:19 Benefits of using ML in predictive maintenance 29:07 Cellular radio power consumption 30:58 Break-even comparison - LTE vs. CPU 32:24 The advantages of nRF9160 SiP 34:50 Q&AThis is a recording of a webinar held on February 8, 2023. The presentation can be downloaded here (direct download): https://devzone.nordicsemi.com/cfs-file/__key/communityserver-discussions-components-files/4/Using-Cellular-IoT-for-Predictive-Maintenance.pdf#cellularIoT #machinelearning