Introduction
Cellular low power wide area network (LPWAN) technologies are highly applicable in Industrial Internet of Things (IIoT)
scenarios, especially those involving battery-powered sensor nodes that require wireless, low power and long-range
connectivity. Condition monitoring and predictive maintenance applications can take advantage of LPWAN protocols such as
NB-IoT and LTE-M to deliver affordable cloud monitoring solutions for industrial equipment when wired connectivity is not viable.
Narrow band Internet of Things (NB-IoT) is a standards-based, LPWAN technology that offers a wide range of services
associated with connected objects. It can significantly reduce power consumption in user devices and still provide the necessary
coverage for application control and data transmission services, including security and privacy support for user identity
confidentiality, entity authentication, confidentiality, data integrity, and mobile equipment identification.
Long-term evolution machine type communication (LTE-M) offers better performance and can therefore complement NB-IoT
when high data transmission speeds and terminal mobility are required, while the superior radioelectric coverage, lower costs
and longer battery life offered by NB-IoT should be preferred when these services are not necessary.
The
software package lets you test and develop a smart industrial condition monitoring sensor node
connected to a cloud application based on Amazon Web Services (AWS) over innovative LPWAN cellular technologies such as
NB-IoT and LTE-M. The firmware runs on the SensorTile Wireless Industrial Node (
) along with the STMod
+ cellular expansion board with BG96 modem from Quectel (included in the
Figure 1.
ST Predictive Maintenance scenario using cellular networks
This cellular connectivity allows the
firmware to publish smart, prepocessed data from
sensor nodes on the ST Predictive Maintenance Dashboard (
) cloud application based on Amazon Web
Services (AWS), from which you can gather, monitor and analyze critical vibration, ultrasound and environmental data on
specific industrial equipment.
RELATED LINKS
Use Google Chrome to run the Predictive Maintenance Dashboard with your myST login credentials
How to work with LPWAN cellular connectivity on STEVAL-STWINKT1 for cloud
condition-based monitoring applications
AN5472
AN5472
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Rev 1
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March 2020
For further information contact your local STMicroelectronics sales office.
www.st.com