ST STM32Cube User manual

Quick Start Guide
STM32Cube function pack for STEVAL-PROTEUS1
evaluation kit for predictive maintenance application
based on artificial intelligence (AI)
(FP-AI-PDMWBSOC)
Version 2.0 (15, Jan 2023)

Agenda
1Hardware and Software overview
3Documents & Related Resources
4STM32 Open Development Environment: Overview
2
2Setup & Demo Examples

1- Hardware and Software overview

STEVAL –PROTEUS1
Hardware Overview
Industrial sensor evaluation kit for condition monitoring based on 2.4 GHz STM32WB5MMG module
The STEVAL-PROTEUS1 is an evaluation tool designed for temperature and vibration monitoring, based on a 2.4 GHz multiprotocol wireless SoC to address
machine or facility condition monitoring for industrial applications. All components are mounted exclusively on the top side of the PCB to ensure an easy mounting on
other equipment.
Key Features
•Kit content: the STEVAL-PROTEUS main board, LiPo battery 3.7 V, 480 mAh, plastic case and screws
•STEVAL-PROTEUS: STM32WB5MMG - ultra-low-power module, dual core 32-bit Arm Cortex-M4 MCU 64 MHz, Cortex-M0+
32 MHz for real-time radio layer, with 1 Mbyte of flash memory, 256kbyte SRAM, and 2.4GHz RF supporting Bluetooth® Low
Energy 5, 802.15.4, Zigbee 3.0, and Thread
•IIS3DWB - ultra-wide bandwidth up to 6 kHz, low noise, 3-axis digital accelerometer
•ISM330DHCX - iNEMO inertial module with machine learning core and finite state machine with digital output
•IIS2DLPC - high-performance ultra-low-power 3-axis digital accelerometer
•STTS22H - low-voltage, ultra-low-power, 0.5°C accuracy I²C/SMBus 3.0 temperature sensor
•Memory & Secure: 2Gb QSPI NOR flash memory for data storage, STSAFE-A110 - secure element
•Power: STBC02 -Li-Ion linear battery charger with LDO, ST1PS02 - step-down converter with digital voltage selection
•HMI: 3 push-buttons (Reset, User, Power-on with battery), 4 LEDs (three user LEDs, one STBC02 LED status)
•Flexible power supply options - LiPo battery, USB power, and primary battery
•Connectors: SWD connector for debugging and programming capability, 34-pin expansion connector compliant with STMOD+
Latest info available at:
https://www.st.com/en/evaluation-tools/steval-proteus1.html
Contains:
FCC ID: YCP-STM32WB5M001
IC: 8976A-STM32WB5M01
J3

FP-AI-PDMWBSOC
FW Architecture
5
Key Features
❑Complete firmware to acquire motion sensor data, process them for Anomaly Detection or
N-Class classification, in order to send the results to the STBLESensor mobile app and/or a
PC terminal console.
❑Embedded software, middleware and drivers
•FreeRTOS
•eLooM to enable modularity and code re-usability at application level
•STM32 WPAN
•NanoEdgeAI (NEAI) Anomaly Detection and N-Classification compiled libraries
❑Compatible with NanoEdge™AI Studio to enable AI-based solution
❑BLE application compatible with STBLESensor (Android and iOS), for the following tasks:
•Control and monitor the NEAI libraries execution
•Change the application libraries properties using a new dedicated setting page
•Bridging data to Microsoft Azure IoT Central Cloud
•Firmware upgrade via FUOTA.
❑NanoEdgeAI Anomaly Detection model storage (on embedded flash memory)
❑Utilities folder including:
•Bootloader to allow the BLE FUOTA
•HS_Datalog with FUOTA capability in binary format
•Batch files to launch python scripts to run DATALOG application and to convert
datasets
•BLE stack (Binary) for STM32WB coprocessor.

FP-AI-PDMWBSOC
Ecosystem
6
Complete turnkey solution from Datalog to Anomaly Detection and Classification status on Mobile App and up to Cloud
STEVAL-PROTEUS1 supported
in NanoEdgeAIStudio [v3.2.1]
Azure
IoT Central
CLO
UD

2- Setup & Demo Examples

Setup & Demo Examples
Software prerequisites
8
•STM32CubeProgrammer Software
•Download and install STM32CubeProgrammer
•FP-AI-PDMWBSOC
•Copy the .zip file content into a folder on your PC. The package will contain source code example
(Keil, IAR, STM32CubeIDE) based on STEVAL-PROTEUS
•ST BLE Sensor Application for Android (from v4.17.4) / iOS (from v4.17.3) to download
from Play Store / App Store
STEVAL-PROTEUS1 kit is not preprogrammed with FP-AI-PDMWBSOC
To update the firmware, please follow the instructions available in slide 14-17

9
Recommended
•1 STEVAL-PROTEUS1 evaluation kit
•1 Laptop/PC with Windows 7, 8 or 10
•1 USB micro-B cable to supply the sensor-board by PC
•1 smartphone with ST BLE Sensor App (Android or IOS)
Optional (just for debugging and programming)
•1 STLINK-V3MINI / V3MINIE
•1 USB micro-B cable to connect the STLINK-V3MINI / V3MINIE
USB micro-B
Cable
Setup & Demo Examples
Hardware prerequisites
STEVAL-PROTEUS
STLINK-V3MINI
STLINK-V3MINIE
ST BLE Sensor App

2.1- Setup Overview

11
STEVAL-PROTEUS1
Unboxing
Power ON
Push and hold S2 until the yellow LED turns on
(HW Featrure)
Power OFF
Push and hold S2 until the Yellow LED turns off
(SW feature)
Use a needle to
access the buttons
behind the holes on
the sides of the case.
1
Fix the main board to the case
bottom with the four screws
included in the kit.
2
Put the Li-Po battery in the top
case, insert the battery cable into
the dedicated hole.
3
Put the cover on the battery and
close it using two screws.
4
Plug the battery connector on J3
5
Lock the top case to the bottom
one with the last four screws
included in the kit.
J3
Yellow
LED
J3
S2

12
STEVAL-PROTEUS1
Power ON/OFF
J3
Yellow
LED
Power
Button
USB micro-B
LiPo Battery
•Battery operated only (no USB cable):
•Power ON: push and hold the power button until the yellow LED
turns on (~3 sec).
•Power OFF: push and hold the power button until the yellow LED
turns off (~3 sec).
•Plugged mode (USB cable)
•Power ON: when USB is plugged-in, the STEVAL-PROTEUS is
always on. It doesn’t matter if the battery is present or not.
•Power OFF: unplug the USB cable and, if the battery is connected,
act as described above.

STEVAL-PROTEUS evaluation board is pre-programmed with another default
application so, it must be update downloading the FP-AI-PDMWBSOC application.
The easiest way is to use the pre-compiled binary provided in the package in the
following folder:
Projects\STM32WB5MMG-PROTEUS\Applications\PDMWBSOC\Binary
To update the firmware the user can choose one of the following procedure:
•Save the same binary file (in *.bin format) in your mobile device and upgrade
firmware by FUOTA using ST BLE Sensor Mobile App.
•Connect the STEVAL-PROTEUS board to the STLINK-V3MINI (or V3MINIE)
programmer, and then use the STM32CubeProgrammer tool.
STEVAL-PROTEUS Setup
Firmware update
13

STEVAL-PROTEUS Setup
Firmware update by FUOTA 1/2
14
How to re-program the STEVAL-PROTEUS by FUOTA:
•Install and launch STBLE Sensor Mobile App, connect board and follow below steps
(*) Download in your smartphone the binary file from FP package
(*)

STEVAL-PROTEUS Setup
Firmware update by FUOTA 2/2
15
•How to re-program the STEVAL-PROTEUS by FUOTA

STEVAL-PROTEUS Setup
Firmware update by STLINK
16
❑Power the board using Battery or USB plug
❑Follow the connection by cables, as shown in the picture below
STEVAL-PROTEUS
Programming
cable
STLINK-V3MINI
or
STLINK-V3MINIE
J
3
USB Type-C
or
USB micro-B
LiPo Battery
USB micro-B

2.2- PDMWBSOC Application:
How to use the ST BLE Sensor App

Discovery View of ST BLE Sensor App
18
After tapping on Connect one Device, you’ll see the list of
available boards to which can connect.
For each board are available:
•FW running name (FP-AI-PDMWBSOC)
•NEAI phase (idle, idle trained, learning, detecting, classifying)
•Battery level (0-100%)
•Status Icon, normal or anomaly in case of anomaly
detection phase
Until you aren’t connected to the
board, blue LED blinks slowly
When you are connected to the
board, blue LED blinks quickly

The proper workflow
19
Open ST BLE
Sensor App
&
Connect Board
Tap on the gear icon to
customize AD library
parameters and sensor
setup (*)
Stop learning, detecting or
classifying automatically or
by button on NEAI demos
*This step is optional but
remember that by default:
- ISM330DHCX is active
with ODR = 3332 Hz and
FS = 2 G
- Learning/Detecting
phases will end when
you’ll push stop button
(Time/Signals parameter
is initialized to zero)
Start learning, detecting
or classifying by buttons
on NEAI demos
It’s strongly recommended to
setup your sensor according to
dataset used to generate NEAI
library

Through this demo you can monitor NanoEdgeAI AD library status and also start/stop learning
and detecting phases. To start your first learning follow the steps below:
1. Move the commands switch on the left
to enable Learning
2. Push start button
3. Push stop button when you want.
(When the processed signals are more than
required from the NEAI-AD library itself the state
changes in “MINIMAL LEARNING DONE”)
Start learning phase
Three simple steps
1
2
3
20
1
23
Learning started
green LED blinks