The STWIN SensorTile wireless industrial node
from STMicroelectronics is a development kit and
reference design that simplifies prototyping and testing of advanced industrial IoT applications such as condition
monitoring and predictive maintenance.
Condition Monitoring (CM) is the monitoring of various parameters such as vibration or temperature to identify
potential failures. This method aims at highlighting problems, allowing Preventive Maintenance to be scheduled
before any damage occurs. Continuous condition monitoring techniques are normally used on equipment such as
compressors, pumps, and motors.
Predictive Maintenance (PdM) is based on Condition Monitoring, abnormality detection and classification algorithms,
and integrates predictive models which can identify the remaining machine runtime left, according to detected
abnormalities. This approach uses a wide range of tools, such as statistical analysis and Machine Learning to monitor
the state of the equipment.
Both of these techniques rely on accurate and detailed data collection which for Industry 4.0 is now an essential part
of the monitoring process and helps ensure factory floor machines run smoothly and efficiently. A typical system will
comprise of many combined elements which include sensors, data processing and data analytics.
Typical CM & PdM Block Diagram
STMicroelectronics offers a wide range of products suitable for use in CM or PdM applications such as high-performance,
cost-competitive sensors with a 10-year supply guarantee (longevity program), including accelerometers and ultra-sound
analog microphones to enable vibration analysis from simple Pass/Fail monitoring to high-accuracy, frequency-based data
analysis, as well as a range of environmental sensors for temperature, humidity and pressure sensing. Furthermore
STMicroelectronics ultra-low-power STM32 Arm® Cortex® M4 microcontrollers and STM32 Arm® Cortex®-A7® microprocessor
series with floating points capabilities can be used to process sensor data at the edge, making them a dedicated
toolchain to implement a deep learning approach. STMicroelectronics also provides a range of wired solutions, including
IO-Link-compatible devices for industrial wired connectivity, and a portfolio of wireless technologies such as
Bluetooth-Low-Energy network processors and transceivers, as well as Sub-1GHz transceivers.
Click below for a snapshot of STMicroelectronics capability in Predictive Maintenance applications
Wireless Development Platform
To assist designers developing CM & PdM applications, STMicroelectronics have introduced the STWIN SensorTile wireless
development kit which features a core system board with a range of embedded
industrial-grade sensors and an ultra-low-power microcontroller for vibration analysis of 9-DoF motion sensing data
across a wide range of vibration frequencies, including very high frequency audio and ultrasound spectra, and high
precision local temperature and environmental monitoring. The development kit is complemented with a rich set of
software packages and optimized firmware libraries, as well as a cloud dashboard application, all provided to help
speed up design cycles for end-to-end solutions.
The kit supports Bluetooth Low Energy (BLE) wireless connectivity through an on-board module, Wi-Fi connectivity can
also be added through an optional plugin expansion board
For applications which require wired connectivity this is also supported via an on-board RS485 transceiver. The core
system board also includes an STMod+ connector which allows its capabilities to be further expanded using compatible,
low cost, small form factor daughter boards associated with the STM32 family, such as the LTE Cell pack. The kit is
provided complete with a 480 mAh Li-Po battery, an
debugger and a plastic enclosure.
Anglia are offering customers a FREE SensorTile wireless development platform and samples of the various industrial IoT
sensors which are used on the platform from STMicroelectronics, please fill in the form below to register your interest
FREE samples for UK and Ireland customers only, subject to availability.
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