STMicroelectronics STEVAL-BFA001V2B User Manual

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UM2566

User manual

Getting started with the STM32Cube function pack for multi-sensor nodes with signal processing to enable predictive maintenance

Introduction

FP-IND-PREDMNT1 is an STM32Cube function pack including dedicated algorithms for advanced time and frequency domain signal processing and analysis of 3D digital accelerometers with flat bandwidth up to 6 kHz.

The package includes pressure, relative humidity and temperature sensor monitoring, and audio algorithms for acoustic emission (AE), up to 20 kHz, and ultrasound emission analysis up to 80 kHz.

According to the designer's needs for connectivity and sensors, different options are available and selectable by changing parameter settings.

With the NUCLEO-F446RE development board and the STEVAL-STWINKT1B or STEVAL-STWINKT1 kit with BLE connectivity, you can monitor and log the algorithm output and sensor data using the STBLESensor app.

The STEVAL-BFA001V2B evaluation kit allows connecting a PC via USB to monitor and log the algorithm output, sensor data and equipment status.

By using the STEVAL-STWINKT1B or STEVAL-STWINKT1 kit with Wi-Fi connectivity, you can connect the device to the dedicated DSH-PREDMNT web-based dashboard to monitor and log the algorithm output, sensor data and equipment status.

The FP-IND-PREDMNT1 , together with the suggested combination of STM32 and ST devices, can be used to develop specific industrial predictive maintenance applications for early detection of warning signs of potential failure.

The software runs on the STM32 microcontroller and includes all the necessary drivers for the STM32 Nucleo development board and expansion boards, as well as for the STEVAL-BFA001V2B and STEVAL-STWINKT1B or STEVAL-STWINKT1 evaluation kits.

Note: In the NUCLEO-F446RE platform, the ISM330DLC ODR is limited to 1.6 kHz when it is mounted on the

X-NUCLEO-IKS01A3 and running with MotionSP library in I 2 C mode.

1

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FP-IND-PREDMNT software expansion for STM32Cube

FP-IND-PREDMNT software expansion for STM32Cube

1.1

Overview

1.1.1

Features

Compatible hardware platforms

Table 1. Compatible hardware platform overview

Platform

STM32 Nucleo STEVAL-BFA001V2B

STEVAL-STWINKT1B (or

STEVAL-STWINKT1)

Image

Size (cm)

Vibration analysis

Sound analysis

Ultrasound analysis

Temperature

Humidity

Pressure

Connectivity

Datalog and GUI

12x7x6

Up to 3.3 kHz

N.A.

BLE

Mobile app→STBLESensor

Firmware

FP-IND-PREDMNT1 key features are:

Complete firmware to develop a sensor node for predictive maintenance applications, featuring digital or analog microphone, environmental and motion sensors, and performing real-time monitoring of parameters and equipment status via:

– user terminal by UART (available for the STEVAL-BFA001V2B kit)

– Wi-Fi connectivity (available for the STEVAL-STWINKT1B or STEVAL-STWINKT1 with the STEVAL-

STWINWFV1 Wi-Fi board)

– BLE connectivity (available for the NUCLEO-F446RE development board and the STEVAL-

STWINKT1B or STEVAL-STWINKT1 kit)

Signal processing (MotionSP) middleware for vibration analysis in time domain (speed RMS and acceleration peak) and frequency domain (FFT with programmable size, averaging, overlapping and windowing)

PDM to PCM and sound pressure level (SPL) middleware for digital microphones (for NUCLEO-F446RE and

STEVAL-BFA001V2B )

Acoustic FFT Analysis for NUCLEO-F446RE and STEVAL-BFA001V2B

Ultrasound FFT Analysis for the STEVAL-STWINKT1B or STEVAL-STWINKT1

Configurable alarm and warning thresholds for key parameters

Data logging capability through mobile app or PC serial terminal

Compatible with STBLESensor application for Android/iOS, to perform sensor data reading, audio and motion algorithm feature demo, and firmware update over the air (FOTA) (feature available only when using

NUCLEO-F446RE and STEVAL-STWINKT1B or STEVAL-STWINKT1 with BLE connectivity)

Compatible with DSH-PREDMNT web-based predictive maintenance dashboard for monitoring sensor data and device status (feature available only when using the STEVAL-STWINKT1B or STEVAL-STWINKT1 with the STEVAL-STWINWFV1 Wi-Fi adapter)

Sample implementation available for the STEVAL-BFA001V2B and STEVAL-STWINKT1B or STEVAL-

STWINKT1 kits

Sample implementation available for X-NUCLEO-CCA02M2 , X-NUCLEO-IKS01A3 , STEVAL-MKI182V2

(DIL24 based on ISM330DLC ) and X-NUCLEO-BNRG2A1 connected to a NUCLEO-F446RE board

Easy portability across different MCU families, thanks to STM32Cube

Free, user-friendly license terms

The software gathers:

• the temperature, humidity, pressure, audio and motion sensor drivers for the

MP34DT06J , ISM330DLC and LSM303AGR devices for STM32 Nucleo

HTS221 , LPS22HB ,

•

• the temperature, humidity, pressure, audio, 3-axis digital vibration sensor drivers for the HTS221 , LPS22HB ,

MP34DT05-A and IIS3DWB devices for the STEVAL-BFA001V2B running on STM32 the temperature, humidity, pressure, audio, 3-axis digital vibration, motion sensor drivers for the HTS221 ,

LPS22HH , IMP34DT05 and IMP23ABSU (or MP23ABS1 ), IIS3DWB , ISM330DHCX devices for the

STEVAL-STWINKT1B (or STEVAL-STWINKT1 )

For NUCLEO-F446RE and STEVAL-STWINKT1B (or STEVAL-STWINKT1 ) boards, the package is compatible with the STBLESensor Android/iOS (Ver. 4.2.1 or higher) applications, available at the respective store, which can be used to display information sent via BLE and for Over-The-Air firmware update.

Architecture

The STM32Cube function packs leverage the modularity and interoperability of STM32 Nucleo and X-NUCLEO boards with STM32Cube and X-CUBE software, to create functional examples representing some of the most common use cases in each sphere of application.

Function packs are designed to fully exploit the underlying STM32 ODE hardware and software components to best satisfy the final user application requirements.

Function packs may also include additional libraries and frameworks not present in the original software expansion packages, thus enabling new functions and creating more pertinent and usable systems for developers.

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Architecture

STM32Cube is designed by STMicroelectronics to reduce development effort, time and cost across the entire

STM32 portfolio.

STM32Cube version 1.x includes:

• STM32CubeMX, a graphical software configuration tool that allows the generation of C initialization code using graphical wizards.

• A comprehensive embedded software platform specific to each series (such as the STM32Cube for the

STM32 series), which includes:

– the STM32Cube HAL embedded abstraction-layer software, ensuring maximized portability across the

STM32 portfolio

– a consistent set of middleware components such as RTOS, USB, TCP/IP and graphics all embedded software utilities with a full set of examples

To access and use the sensor expansion board, the application software uses:

The STM32Cube HAL driver layer, which provides a simple, generic, multi-instance set of application programming interfaces (APIs) to interact with the upper application, library and stack layers. It has generic and extension APIs and is directly built around a generic architecture and allows successive layers like the middleware layer to implement functions without requiring specific hardware configurations for a given microcontroller unit (MCU). This structure improves library code reusability and facilitates portability to other devices.

The board support package (BSP) layer supports all the peripherals on the STM32 Nucleo except the MCU.

This limited set of APIs provides a programming interface for certain board-specific peripherals like the LED, the user button, etc. This interface also helps in identifying the specific board version.

Figure 1. FP-IND-PREDMNT1 software architecture

Application FP-IND-PREDMNT1

BLE

Audio PDM to PCM

Wi-Fi

MotionSP

AcousticDB

Meta Data Manager

Middleware

USB Device jsmn

FreeRTOS mbedTLS

AWS

BLE manager

Hardware

Abstraction

Hardware

STM32Cube Hardware Abstraction Layer (HAL)

STM32 Nucleo expansion boards

X-NUCLEO-BNRG2A1 (Connect)

X-NUCLEO-IKS01A3 (Sense)

X-NUCLEO-CCA02M2 (Sense)

Adapter board for standard

DIL24 socket

STEVAL-MKI182V2

STM32 Nucleo development board

Wi-Fi adapter board

for STWIN

STEVAL-STWINWFV1

STEVAL-STWINKT1B

(or STEVAL-STWINKT1) evaluation kit

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BFA001V2B evaluation kit page 4/78

1.3

Folder structure

Figure 2. FP-IND-PREDMNT1 package folder structure

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Folder structure

1.4

The following folders are included in the software package:

• Documentation : contains a compiled HTML file generated from the source code which details the software components and APIs.

• Drivers : contains the HAL drivers and the board-specific drivers for each supported board or hardware platform, including the on-board components and the CMSIS vendor-independent hardware abstraction layer for ARM Cortex-M processor series.

•

Middlewares : contains libraries and protocols for BlueNRG-2 Bluetooth low energy, AcousticDB and Audio

PDM/PCM software library, MotionSP software library, Meta Data Manager to save meta data in the Flash memory, FreeRTOS real-time operating system, USB Device Library and STM32 Connect Library which provides API to access network services on STM32 devices, Parson library, AWS library

Projects : contains sample applications used for transmitting the output of the sensor data and the analysis results for all the platforms in different folders:

– STM32F446RE-Nucleo: motion signal processing and audio over BLE protocol

– STM32F469AI-BFA001V2: motion signal processing and audio using user terminal by UART

– STM32L4R9ZI-STWIN: motion processing and ultrasound analysis over BLE and Wi-Fi protocol

•

All projects are available for IAR Embedded Workbench for ARM, RealView Microcontroller Development Kit

( MDK-ARM-STR ) and Integrated Development Environment for STM32 ( STM32CubeIDE ).

Utilities : contains the boot loader binary ready to be flashed for the NUCLEO-F446RE development board and the STEVAL-STWINKT1B (or STEVAL-STWINKT1 ) evaluation kit.

Flash management

For NUCLEO-F446RE and STEVAL-STWINKT1B (or STEVAL-STWINKT1 ), the FP-IND-PREDMNT1 also uses the Flash memory for Firmware-Over-The-Air updates.

As shown in the figure below, it is divided into:

the first region, containing a custom boot loader

the second region, containing the FP-IND-PREDMNT1 firmware

the third region, used for storing the FOTA before the update

The Meta Data Manager is placed at the end of the Flash memory (0x0807FFFF for NUCLEO-F446RE and

0x081FF000 for STEVAL-STWINKT1B (or STEVAL-STWINKT1 )).

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Figure 3. FP-IND-PREDMNT1 Flash structure for NUCLEO-F446RE

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The boot process

1.5

The boot process

The FP-IND-PREDMNT1 cannot be flashed at the beginning of the Flash memory (address 0x08000000), and is therefore compiled to run from the beginning of the second Flash region, at 0x08004000.

To enable this behavior, the vector table offset in:

• Src/system_stm32f4xx.c

(for STM32F446RE )

• Src/system_stm32l4xx.c

(for STM32L4R9ZI ) has been set by #define VECT_TAB_OFFSET 0x4000 .

The linker script has been changed too.

For example, for IAR Embedded Workbench for ARM for NUCLEO-F446RE , the linker script is: define symbol ICFEDIT_intvec_start_ = 0x08004000;

/*-Memory Regions-*/ define symbol ICFEDIT_region_ROM_start = 0x08004000; define symbol ICFEDIT_region_ROM_end = 0x0803FFFF;

The maximum usable code size is fixed at 240 KB for NUCLEO-F446RE and 1024 KB for STEVAL-STWINKT1B

(or STEVAL-STWINKT1 ).

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The boot process

You must flash the appropriate bootloader binary for STM32F446RE and STM32L4R9ZI , found in the Utilities

\BootLoader folder, to the first Flash region (address0x08000000).

Figure 4. Bootloader folder content

At any board reset:

• if there is a FOTA in the third Flash region, the bootloader overwrites the second Flash region (with

FP-IND-PREDMNT1 firmware) and replaces its content with the FOTA, restarting the board;

• if there is no FOTA, the bootloader jumps to the FP-IND-PREDMNT1 firmware.

Figure 5. FP-IND-PREDMNT1 boot sequence

1.5.1

For each IDE (IAR/RealView/STM32CubeIDE) and demonstration, a batch script has been provided to simplify this operation by saving the firmware and the Bootloader to the right position:

• NUCLEO-F446RE

– CleanPREDMNT1_IAR_F446

– CleanPREDMNT1_MDK-ARM_F446.bat

– CleanPREDMNT1_SW4STM32_F446 .bat

• STEVAL-STWINKT1 (for BLE project only)

– CleanPREDMNT1_IAR_STWIN.bat

– CleanPREDMNT1_MDK-ARM_STWIN.bat

Batch script

The batch script:

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•

• performs a full Flash erase to start from a clean system flashes the Bootloader to the correct position (0x08000000) flashes the firmware to the correct position (0x08004000)

Figure 6. Bootloader and FP-IND-PREDMNT1 installation

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The boot process

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The script also dumps an image containing the Bootloader and the firmware. This image file can be directly flashed to the beginning of the Flash memory as the image provided in the Binary folder.

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Figure 7. FP-IND-PREDMNT1 dump process

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The boot process

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•

For Linux or iOS operating systems, there is a similar script that uses OpenOCD instead of the ST-LINK command line and is included in STM32CubeIDE only ( CleanPREDMNT1_STM32CubeIDE_F446.sh

To function, the script must be modified with: the installation path for OpenOCD the installation path for STM32 OpenOCD scripts the library path for OpenOCD

The OpenOCD script section to be edited is the following one.

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1.6

1.7

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Firware-Over-The-Air (FOTA) update

######## Modify this Section:

# 1) Set the Installation path for OpenOCD

# example:

#OpenOCD_DIR="C:/ST/STM32CubeIDE_1.4.0/STM32CubeIDE/plugins/ com.st.stm32cube.ide.mcu.externaltools.openocd.win32_1.4.0.202007081208/tools"

OpenOCD_DIR=""

# 2) Set the installation path for stm32 OpenOCD scritps

# example:

#OpenOCD_CFC="C:/ST/STM32CubeIDE_1.4.0/STM32CubeIDE/plugins/ com.st.stm32cube.ide.mcu.debug.openocd_1.4.2.202008061104/resources/openocd/st_scripts"

OpenOCD_CFC=""

# 3) Only for Linux/iOS add openocd library path to _LIBRARY_PATH:

# For iOS example:

#export DYLD_LIBRARY_PATH=${DYLD_LIBRARY_PATH}:${OpenOCD_DIR}"lib/"

# For Linux example:

#export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:${OpenOCD_DIR}"lib/"

Firware-Over-The-Air (FOTA) update

The FP-IND-PREDMNT1 firmware can be updated Over-The-Air (FOTA) through an Android/iOS device via

Bluetooth using the STBLESensor application (ver. 4.2.1 and above).

The application sends the update and associated cyclic redundancy check (CRC) value, which the FP-IND-

PREDMNT1 checks against the hardware cyclic redundancy check calculation unit on the STM32F446RE or

STM32L4R9ZI processor to ensure integrity. If the CRC calculation matches the STBLESensor CRC value, the new firmware is written at the beginning of the third Flash region. A “magic number” signals the bootloader that a firmware update has been received and checked, and is ready to replace the current FP-IND-PREDMNT1

firmware (refer to Section 2.10.8 Firmware-Over-The-Air update with STBLESensor ).

APIs

Detailed technical information with full user API function and parameter description are in a compiled HTML file in the “Documentation” folder.

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2

2.1

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STM32 Nucleo platform

STM32 Nucleo platform

The STM32 Nucleo platform compatible with the FP-IND-PREDMNT1 function pack consists of:

•

• one STM32 Nucleo development board (order code: one microphone expansion board (order code: one sensor expansion board (order code: one DIL24 based on ISM330DLC (order code:

X-NUCLEO-CCA02M2

X-NUCLEO-IKS01A3

STEVAL-MKI182V2 one BlueNRG Bluetooth low energy expansion board (order code: one USB type A to Mini-B USB cable to connect the

NUCLEO-F446RE

)

X-NUCLEO-BNRG2A1

STM32 Nucleo to the PC

)

X-NUCLEO-IKS01A3 setup

•

Only when using the X-NUCLEO-IKS01A3 expansion board, you can select I 2 C or SPI connection mode for the

DIL24 socket by modifying the iks01a3_conf.h USE_SPI_FOR_DIL24 define with:

0 → for I 2 C connection

1 → for SPI connection

To enable the SPI support on the DIL24 socket, on the X-NUCLEO-IKS01A3 :

• open SB5, SB12, SB19 and SB23 solder bridges

• close SB6, SB10, SB18 and SB22 solder bridges

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Hardware setup

Figure 16. X-NUCLEO-IKS01A3 expansion board - solder bridges to open (in yellow) and to close (in pink)

2.6.2

X-NUCLEO-BNRG2A1 setup

The procedure described below is required to make the BlueNRG-2 library correctly work with the firmware embedded in the X-NUCLEO-BNRG2A1 BLE module.

Step 1.

Solder a 0 Ohm resistor to R117 on the X-NUCLEO-BNRG2A1 expansion board.

Step 2.

Update the X-NUCLEO-BNRG2A1 BLE module through the ST-LINK/V2-1 and the STSW-

BNRGFLASHER Flasher utility.

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Hardware setup

Step 3.

Connect the X-NUCLEO-BNRG2A1 J12 pins to the ST-LINK/V2-1 pins through the 5-wire cable

included as shown in the picture below and detailed in Table 2 .

Figure 17. Connection between X-NUCLEO-BNRG2A1 expansion board and ST-LINK/V2-1

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Table 2. X-NUCLEO-BNRG2A1 and ST-LINK/V2-1 pin connections

X-NUCLEO-BNRG2A1 J12 pin no.

ST-LINK/V2-1 pin no.

Step 4.

Install the STSW-BNRGFLASHER and open it.

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Step 5.

Select the SWD tab.

Figure 18. STSW-BNRGFLASHER - SWD tab

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Hardware setup

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Step 6.

Erase the BlueNRG-2 chip Flash memory.

Figure 19. STSW-BNRGFLASHER - mass erase

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Hardware setup

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Step 7.

Download the Link Layer Only firmware for the BLE module.

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Software setup

Step 8.

Load the Link Layer Only firmware into the STSW-BNRGFLASHER and press the [ Flash ] button.

Figure 20. STSW-BNRGFLASHER - Flash button

2.7

2.8

Step 9.

To restore the X-NUCLEO-BNRG2A1 BLE module embedded firmware, repeat the procedure using the following firmware image: DTM_Full.bin

In case of issues during the update process, close X-NUCLEO-BNRG2A1 J15 jumper before repeating the procedure.

Software setup

The following software components are required for the setup of a suitable development environment to create applications for the STM32 Nucleo board with the sensors, microphones, Bluetooth low energy expansion boards:

• FP-IND-PREDMNT1 firmware, available on www.st.com.

• Development tool-chain and Compiler. The STM32Cube expansion software supports the following environments to select from:

– IAR Embedded Workbench for ARM ® (EWARM release 8.50.5) toolchain plus ST-LINK

– RealView Microcontroller Development Kit (MDK-ARM release 5.31.0) toolchain plus ST-LINK

– Integrated Development Environment for STM32 ( STM32CubeIDE release 1.4.2) plus ST-LINK

The installation process

For each application folder there is a package binary directory that contains:

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Note:

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Sample application description

• pre-compiled PREDMNT1 firmware that can be flashed with ST-LINK to the correct memory address

(0x08004000) of a supported STM32 Nucleo development board.

This pre-compiled binary is compatible with the FOTA update procedure.

• pre-compiled PREDMNT1 plus BootLoader firmware that can be directly flashed to a supported

Nucleo development board with the ST-LINK or by drag and drop.

STM32

This pre-compiled binary is not compatible with the FOTA update procedure.

Figure 21. Binary folder container

2.9

2.9.1

Terminal window setup

For the NUCLEO-F446RE development board you can set a terminal window up for the appropriate UART communication port used to control the initialization phase and the execution phases.

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Figure 22. NUCLEO-F446RE terminal setup

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Sample application description

2.9.2

•

Sample application startup

•

For the NUCLEO-F446RE and for each demonstration, when you first press the reset button, the application:

• starts initializing the UART

• checks whether all the sensors are present and working reads the Meta Data Manager checks if the BlueNRG expansion board is connected to the and firmware version information

STM32 Nucleo board as well as the hardware

• initializes the BLE stack initializes the BLE hardware service (adding the temperature, humidity, pressure, 3D gyroscope,3D magnetometer, 3D accelerometer and microphone characteristics) and the BLE software service initializes the BLE console service adding the stdin/stdout and stderr characteristics shows the vibration parameter values present in the Flash memory (for Predictive_Maintenance

Demonstrations) and sets the accelerometer parameters (for Predictive_Maintenance Demonstrations only).

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Figure 23. Initialization phase

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Sample application description

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•

As shown in the console output above, the application sends:

• temperature/humidity/pressure data every 500 ms

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Sample application description

When an Android/iOS device is connected to the NUCLEO-F446RE board, you can control data transmitted through the board.

Figure 24. UART console output when a device is connected to the board

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Android and iOS STBLEsensor client application

2.10

2.10.1

Android and iOS STBLEsensor client application

Developed to reduce power consumption, the FP-IND-PREDMNT1 software for STM32Cube is compatible with the STBLESensor Android/iOS applications (ver. 4.2.1or higher).

The STBLESensor application allows Over-The-Air firmware updates.

The Android version is used for this demonstration.

Main page

After connection, STBLESensor opens the main page shown below, where the values of temperature, pressure and humidity are displayed.

Figure 25. STBLESensor (Android version) main page following BLE connection

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Android and iOS STBLEsensor client application

2.10.2

Plot data

On the next page of the STBLESensor application, to the left, you can plot any value from the sensor expansion boards.

Figure 26. STBLESensor (Android version) magnetometer plot

2.10.3

•

Settings, serial and debug console

In the option menu below, you can open:

• Settings

Serial or Debug (with stdin) console

Firmware upgrade

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Android and iOS STBLEsensor client application

Figure 27. STBLESensor (Android version) menu selection

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If Settings is selected, it is possible to change the node name using the node configuration, as shown below.

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Android and iOS STBLEsensor client application

Figure 28. STBLESensor (Android version) node configuration: local name

Note:

If the Debug console is enabled, stdin is displayed and any message written triggers a reply with the same message, if the command line is not recognized, as shown below.

Node configuration is not available if the board configuration feature is enabled.

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Android and iOS STBLEsensor client application

Figure 29. STBLESensor (Android version) Debug console (stdin/stdout/stderr)

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The [ help ] command shows the list of the recognized commands.

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Android and iOS STBLEsensor client application

Figure 30. STBLESensor (Android version) Debug console (stdin/stdout/stderr): Help Command

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Android and iOS STBLEsensor client application

2.10.4

You can change the transmission frequency of the sensor values through the debug console:

for temperature/humidity/pressure with the command: a.

@TM: the application sends environmental data every 5 s b.

@TH: the application sends environmental data every 1 s c.

@TL: the application sends environmental data every 100 ms d.

@TD: the application sends environmental data at the default rate (500 ms)

for 3D accelerometer, 3D gyroscope and 3D magnetometer with the command: a.

@AM: the application sends environmental data every 5 s b.

@AH: the application sends environmental data every 1 s c.

@AL: the application sends environmental data every 100 ms d.

@AD: the application sends environmental data at the default rate (50 ms)

for signal noise microphone levels with the command: a.

@MM: the application sends environmental data every 5 s b.

@MH: the application sends environmental data every 1 s c.

@ML: the application sends environmental data every 100 ms d.

@MD: the application sends environmental data at the default rate (50 ms)

FTT amplitude

The “FFT Amplitude” page can be used to monitor the vibration frequency plot from MotionSP algorithms provided with FP-IND-PREDMNT1 .

Figure 31. STBLESensor (Android version) FFT amplitude page for predictive maintenance (plot, details and settings

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Android and iOS STBLEsensor client application

Figure 32. STBLESensor (Android version) FFT amplitude page for acoustic analysis (plot and details)

2.10.5

•

Predictive maintenance

•

The predictive maintenance page, based on MotionSP algorithms, can be used to monitor key parameters and the equipment status based on:

RMS speed acceleration peak accelerometer frequency domain

The parameter status results are based on configurable alarm and warning thresholds you can modify for speed RMS, accelerometer peak and spectral band, precompiling the MotionSP_Threshold.h

file included in

\ Projects\STM32F446RE-Nucleo\Demonstrations\Predictive_Maintenance\Inc .

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Android and iOS STBLEsensor client application

Figure 33. STBLESensor (Android version) predictive maintenance page

2.10.6

RSSI and battery

This page shows RSSI of the Bluetooth signal strength.

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Android and iOS STBLEsensor client application

Figure 34. STBLESensor (Android version) battery and RSSI information

2.10.7

The RSSI value is updated every 0.5 seconds.

Board configuration

If board configuration feature is enabled, more simply can be obtained the board report and node name setting.

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Android and iOS STBLEsensor client application

Figure 35. Board configuration selection

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Android and iOS STBLEsensor client application

Figure 36. Board configuration options

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Android and iOS STBLEsensor client application

Figure 37. Board firmware version

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Android and iOS STBLEsensor client application

Figure 38. Hardware and firmware information

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Android and iOS STBLEsensor client application

Figure 39. Setting the board name

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The firmware parameters can be changed by selecting "Read Custom Commands".

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Android and iOS STBLEsensor client application

Figure 40. Read Custom Commands

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Android and iOS STBLEsensor client application

Figure 41. List of custom commands

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Android and iOS STBLEsensor client application

Figure 42. Custom commands - example (FFT_Overlapping)

2.10.8

Firmware-Over-The-Air update with STBLESensor

If the Firmware upgrade option menu is selected, the following page appears.

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Android and iOS STBLEsensor client application

Figure 43. STBLESensor (Android version) firmware upgrade page

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The STBLESensor application shows which version of the FP-IND-PREDMNT1 software is running and the board type. To apply an update, press the pink button and choose the appropriate file.

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Android and iOS STBLEsensor client application

Figure 44. STBLESensor (Android version) firmware update file selection

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STBLESensor sends the FP-IND-PREDMNT1 a command communicating that it is going to send an update of a certain byte size and corresponding CRC value.

The app displays a progress bar during the FOTA procedure, followed by the total upload time on completion.

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Android and iOS STBLEsensor client application

Figure 45. STBLESensor (Android version) feedback during and after FOTA transmission

UM2566 - Rev 5

On completion of FOTA transmission, the STM32 uses the CRC hardware unit to compute the CRC value for the

FOTA received. If this CRC matches the expected CRC previously sent by the application, FP-IND-PREDMNT1 writes a code number to signal the Bootloader there is an OTA ready to be applied.

As the following figure shows, the Bootloader applies the OTA at the next board reboot and executes the new

FP-IND-PREDMNT1 firmware.

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Android and iOS STBLEsensor client application

Figure 46. STBLESensor (Android version) UART console after the FOTA and before update

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3

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STEVAL-BFA001V2B platform

STEVAL-BFA001V2B platform

The STEVAL-BFA001V2B is an industrial reference design kit for condition monitoring (CM) and predictive maintenance (PdM).

The hardware consists of a highly compact (50 x 9 x 9 mm) industrial sensor board specifically designed for real industrial applications, and the necessary debugging tools, cables, plugs and adapters for an industrial communications scenario. The connection is managed using a standard multipolar cable with one wire used for

IO-Link data.

The layout is designed to meet IEC61000-4-2/4 and EN60947 requirements for industrial applications.

The STSW-BFA001V2 firmware package (freely available on www.st.com

) includes dedicated algorithms for advanced time and frequency domain signal processing and analysis of the high bandwidth 3D digital accelerometer for vibration monitoring. The package includes pressure, relative humidity and temperature sensor monitoring samples as well as audio algorithms for acoustic emission (AE).

The firmware runs on the high performance STM32F469AI , ARM

Cortex

-M4, 32-bit microcontroller. The sensor data analysis results can be displayed on a user PC terminal emulator via wired connectivity or the related IO-Link master board interface.

Figure 47. STEVAL-BFA001V2B predictive maintenance reference kit

3.1

3.2

Terminal window setup

For the STEVAL-BFA001V2B development kit, you can set a terminal window up for the appropriate UART communication port, in order to provide a tool for monitor and data logging.

Sample application startup

To run a sample application with the STEVAL-BFA001V2B , follow the procedure below.

Step 1.

Plug the STEVAL-UKI001V2 to an STM32 Nucleo -64 board

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Sample application description

Step 2.

Connect the STEVAL-UKI001V2 plus the STM32 Nucleo board assembly to the STEVAL-IDP005V2 trough the 10-pin flat IDC wire cable

Step 3.

Supply power (refer to Section 3.2 Hardware setup

)

Step 4.

Connect the STLINK-V3MINI to the PC through the USB Type-A Maleto Type-B mini cable

Step 5.

Open and configure your terminal emulator (such as PuTTY or Tera Term)

Step 6.

Set the following parameters:

– Name: COM Port name

– Baud Rate: 230400

– Data: 8

– Parity: None

– Stop Bit: One

– Flow Control: None

Step 7.

Push the [ Reset ] button on the STEVAL-UKI001V2 (or STEVAL-IDP005V2)

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Sample application description

Step 8.

Follow the terminal instruction to monitor data

For example, if you want to run a PREDICTIVE MAINTENANCE application inside the package folder

Projects\STM32F469AI-BFA001V2\Demonstration\Predictive_Maintenance_SRV\Binary, after a board reset, the screen shows data similar to the figure below.

Figure 52. STEVAL-BFA001V2B serial terminal output after reset

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Sample application description

Step 9.

Type ‘y’ to change or confirm each configuration parameters as explained in the next figure.

Pay attention to every parameter inserted via user terminal: ensure it overwrites the previous line in the window, so the following figure is simply a summary obtained through the "log" functionality.

Figure 53. STEVAL-BFA001V2B parameter settings and configuration

UM2566 - Rev 5

The new parameters written by the user terminal are now fixed and ready to use from the library, that configures everything before starting the application, measuring time domain (1 st array) and frequency domain (2 nd array).

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Sample application description

Figure 54. STEVAL-BFA001V2B parameter overview and analysis with time domain array

Figure 55. STEVAL-BFA001V2B 2 nd analysis with frequency domain array

1. Parameters and initialization summary

2. Analysis start with time domain array

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The analysis results shown for this application are:

– Frequency domain values about the FFT average numbers and the absolute maximum values detected in the whole power spectrum

– Frequency domain threshold status for each subrange analized page 55/78

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Sample application description

– General status for time and frequency domain

Figure 56. STEVAL-BFA001V2B time domain predictive maintenance results

1. FFT arrays

2. Time domain results and threshold status

3. FFT average numbers and results: max. amplitude per frequency

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Sample application description

Figure 57. STEVAL-BFA001V2B frequency domain sub-range status and all status results

1. FFT sub-range analysis, max. amplitude per frequency status

2. Time domain and frequency domain: all threshold status

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The figure below shows the environmental measurements and parameters already configured with the opportunity of changing them before starting next analysis.

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Sample application description

Figure 58. STEVAL-BFA001V2B environmental measurement and parameter list

1. Environmental measurements

2. Parameter overview for next analysis

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4

UM2566

STEVAL-STWINKT1 platform

STEVAL-STWINKT1 platform

The STWIN SensorTile wireless industrial node ( STEVAL-STWINKT1 ) is a development kit and reference design that simplifies prototyping and testing of advanced industrial IoT applications such as condition monitoring and predictive maintenance.

The kit features a core system board with a range of embedded industrial-grade sensors and an ultra-lowpower 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 BLE wireless connectivity through an on-board module, and Wi-Fi connectivity through a special plugin expansion board ( STEVAL-STWINWFV1 ). Wired connectivity is also supported via an on-board RS485 transceiver. The core system board also includes an STMOD+ connector for compatible, low cost, small form factor daughter boards associated with the STM32 family, such as the LTE Cell pack.

Apart from the core system board, the kit is provided complete with a 480 mAh Li-Po battery, an STLINK-V3MINI debugger and a plastic box.

Figure 59. STEVAL-STWINKT1 devlopment kit

4.1

BLE application

A sample application is provided in the Project directory for the STEVAL-STWINKT1 evaluation kit and ready to be built projects are available for multiple IDEs (IAR 8.50.5, Keil 5.31.0 and STM32CubeIDE 1.4.2).

Terminal window setup

For the STEVAL-STWINKT1 development kit you can set a terminal window up for the appropriate UART communication port, used to control the initialization and the execution phases.

Figure 61. STEVAL-STWINKT1 terminal setup

4.4.1.2

•

Sample application startup

When you first press the reset button, the application: checks whether all the sensors are working reads the Meta Data Manager initializes the BLE stack connectivity initializes the BLE hardware service (adding the temperature, humidity, pressure, 3Dgyroscope, 3D magnetometer, 3D accelerometer and microphone characteristics) and the BLE software service initializes the BLE console service adding the stdin/stdout and stderr characteristics shows the vibration parameter values present in the Flash memory and sets the accelerometer parameters

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Figure 62. Initialization phase

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Sample application description

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When an Android/iOS device is connected to the STWIN Core System board, you can control data transmitted through the board.

page 62/78

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Sample application description

Figure 63. UART console output after a device has been connected to the STEVAL-STWINKT1

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Like the NUCLEO-F446RE demonstrations, this sample is compatible with the STBLESensor Android/iOS applications (ver. 4.2.1or higher) and allows Over-The-Air firmware updates.

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Sample application description

4.4.2

4.4.2.1

Predictive maintenance cloud application

The predictive maintenance cloud application is a software example for STWIN ( STEVAL-STWINKT1 plus

STEVAL-STWINWFV1 ) that collects sensor data and performs spectral analysis for the IIS3DWB accelerometer

(up to 5 kHz) and the MP23ABS1 analog microphone (up to 80 kHz) signals.

The result of spectral analysis and raw environmental data are sent to the DSH-PREDMNT dashboard exploiting

AWS (Amazon Web Service) SDK and MQTT protocol.

You can set the predictive maintenance cloud application parameters through the dashboard.

•

The application main functions are:

• perform a secure connection to DSH-PREDMNT compute the spectrum of audio signal from analog microphone in ultrasound bandwidth up to 80 kHz analyze vibrations by computing the spectrum of vibrometer data. Up to 5 KHz get the environmental sensor data receive configuration parameters from the dashboard

Figure 64. Predictive maintenance cloud application overview

Application

Predictive maintenance cloud

Middleware

Hardware

STM32_USB

Device_Library mbedTLS

AWS

STM32_Connect_

Library

FreeRTOS

STM32_MotionSP

HTS221

Hardware components

IIS3DWB LPS22HH

MP23ABS1 STM32L4R9ZIJ6

Development boards

STEVAL-STWINKT1 STEVAL-STWINWFV1

Functional blocks

The predictive maintenance cloud application connects to the DSH-PREDMNT dashboard exploiting the underlying AWS IoT Core API and defines the following AWS MQTT topics:

• environmental data topic:

– temperature and humidity ( HTS221 )

•

– pressure ( LPS22HH ) ultrasound analysis topic:

– audio spectral analysis in ultrasound bandwidth exploiting MP23ABS1 analog microphone

• vibration analysis topic:

– vibration analysis up to 5 kHz of bandwidth exploiting IIS3DWB MEMS vibrometer

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Sample application description

Figure 65. Predictive maintenance cloud application functional blocks

4.4.2.2

Data are collected and processed in three independent logical tasks:

• Audio Process Task

– acquires signal from the analog microphone:

◦ sampling frequency = 192 kHz

•

◦ audio frame = 1 s

– performs the FFT:

◦

◦ window= Hann window

FFT size = 1024

– computes the magnitude of the result of FFT

Vibration Process Task

– acquires wide band accelerometer signals:

◦ sampling frequency = 26.7 kHz

◦ vibration frame = 1 s

– performs the FFT:

◦ window= Hann window

•

◦ FFT size = 1024

– computes the magnitude of the result of FFT

Environmental Process Task

– acquires signal from environmental sensors:

◦

◦ humidity and temperature sampling frequency = 12.5 Hz pressure sampling frequency = 25 Hz

Configuration

To program the STWIN core system you have to download the relevant version of the STLINK-V3MINI USB driver and follow the procedure below.

Step 1.

Plug the STLINK-V3MINI to the STWIN core board through the programming cable available in the

STEVAL-STWINKT1 .

Step 2.

Connect the STLINK-V3MINI to the PC through the USB USB Micro-B male cable.

The board is ready to be programmed with the application in Projects\STM32L4R9ZI-

STWIN\Demonstrations\Predictive_Maintenance_WIFI\AWS\Binary\STM32L4R9ZI-

STWIN_PredictiveMaintenance_WIFI_v2.0.0.bin

Step 3.

Once the firmware has been loaded, press the [ Reset ] black button on the STWIN core system.

Step 4.

Open Tera Term.

UM2566 - Rev 5 page 65/78

Step 5.

Set the parameters as shown below.

Figure 66. Tera Term terminal setup

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Sample application description

Step 6.

Click on [ File ]>[ New Connection ].

Step 7.

Select the right COM port.

Figure 67. Tera Term COM port selection

UM2566 - Rev 5

Step 8.

Press the [ Reset ] button on the board.

Step 9.

Set up Wi-Fi and AWS credentials (see also Section 4.6 Predictive maintenance dashboard (DSH-

PREDMNT) ).

If the board has never been configured before, the system automatically asks for the needed parameters. Otherwise, you can change the configuration by pressing the USR button within 5 seconds.

Step 10.

Insert the SSID, security mode and password of your Wi-Fi network.

Figure 68. Wi-Fi credentials page 66/78

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Sample application description

Step 11.

Press the USR button again within 5 seconds and insert the AWS IoT Core endpoint.

Figure 69. AWS credentials

Step 12.

Enter the security certificates.

You can either drag and drop the file or copy and paste the text.

Step 13.

Enter root certificate (press Enter Key twice) and public and private keys (press Enter Key once).

Figure 70. AWS security certificates

At the end of the configuration, data are published via MQTT protocol and available in the dashboard page.

Figure 71. Data published via MQTT page 67/78

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Android and iOS STBLESensor client application

Step 14.

If the board is battery plugged, use the PWR button to power the board on/off.

– For power on, press the PWR button until the red led turns off (~1 sec)

– For power off, press the PWR button shortly

Figure 72. STWIN core system power button

4.5

4.6

Android and iOS STBLESensor client application

List of figures

Figure 1. FP-IND-PREDMNT1 software architecture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4

Figure 2. FP-IND-PREDMNT1 package folder structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

Figure 3. FP-IND-PREDMNT1 Flash structure for NUCLEO-F446RE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6

Figure 4. Bootloader folder content . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

Figure 5. FP-IND-PREDMNT1 boot sequence . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

Figure 6. Bootloader and FP-IND-PREDMNT1 installation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8

Figure 7. FP-IND-PREDMNT1 dump process. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

Figure 8. STM32 Nucleo board . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11

Figure 9. X-NUCLEO-CCA02M2 expansion board . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12

Figure 10. X-NUCLEO-BNRG2A1 BLE expansion board . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13

Figure 11. X-NUCLEO-IKS01A3 MEMS and environmental sensor expansion board . . . . . . . . . . . . . . . . . . . . . . . . . . 14

Figure 12. STEVAL-MKI182V2 evaluation board . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14

Figure 13. STM32 Nucleo plus X-NUCLEO-CCA02M2 expansion board . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

Figure 14. STM32 Nucleo plus X-NUCLEO-CCA02M2 and X-NUCLEO-BNRG2A1 expansion boards. . . . . . . . . . . . . . . 16

Figure 15. STM32 Nucleo plus X-NUCLEO-CCA02M2, X-NUCLEO-BNRG2A1 and X-NUCLEO-IKS01A3 expansion boards plus STEVAL-MKI182V2 evaluation board . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17

Figure 16. X-NUCLEO-IKS01A3 expansion board - solder bridges to open (in yellow) and to close (in pink). . . . . . . . . . . 18

Figure 17. Connection between X-NUCLEO-BNRG2A1 expansion board and ST-LINK/V2-1 . . . . . . . . . . . . . . . . . . . . . 19

Figure 18. STSW-BNRGFLASHER - SWD tab . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20

Figure 19. STSW-BNRGFLASHER - mass erase . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21

Figure 20. STSW-BNRGFLASHER - Flash button . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22

Figure 21. Binary folder container. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23

Figure 22. NUCLEO-F446RE terminal setup . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24

Figure 23. Initialization phase . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25

Figure 24. UART console output when a device is connected to the board. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26

Figure 25. STBLESensor (Android version) main page following BLE connection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27

Figure 26. STBLESensor (Android version) magnetometer plot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28

Figure 27. STBLESensor (Android version) menu selection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29

Figure 28. STBLESensor (Android version) node configuration: local name . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30

Figure 29. STBLESensor (Android version) Debug console (stdin/stdout/stderr) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31

Figure 30. STBLESensor (Android version) Debug console (stdin/stdout/stderr): Help Command . . . . . . . . . . . . . . . . . . 32

Figure 31. STBLESensor (Android version) FFT amplitude page for predictive maintenance (plot, details and settings . . . 33

Figure 32. STBLESensor (Android version) FFT amplitude page for acoustic analysis (plot and details) . . . . . . . . . . . . . 34

Figure 33. STBLESensor (Android version) predictive maintenance page . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35

Figure 34. STBLESensor (Android version) battery and RSSI information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36

Figure 35. Board configuration selection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37

Figure 36. Board configuration options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38

Figure 37. Board firmware version . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39

Figure 38. Hardware and firmware information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40

Figure 39. Setting the board name . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41

Figure 40. Read Custom Commands . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42

Figure 41. List of custom commands. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43

Figure 42. Custom commands - example (FFT_Overlapping). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44

Figure 43. STBLESensor (Android version) firmware upgrade page . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45

Figure 44. STBLESensor (Android version) firmware update file selection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46

Figure 45. STBLESensor (Android version) feedback during and after FOTA transmission. . . . . . . . . . . . . . . . . . . . . . . 47

Figure 46. STBLESensor (Android version) UART console after the FOTA and before update . . . . . . . . . . . . . . . . . . . . 48

Figure 47. STEVAL-BFA001V2B predictive maintenance reference kit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49

Figure 48. STEVAL-UKI001V2 top view . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50

Figure 49. Connection between ST-LINK-V3MINI and STEVAL-UKI001V2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50

Figure 50. Power supply connection (without IO-Link master board) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50

Figure 51. STEVAL-BFA001V2B complete setup kit connection in stand-alone mode . . . . . . . . . . . . . . . . . . . . . . . . . . 51

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List of figures

Figure 52. STEVAL-BFA001V2B serial terminal output after reset. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53

Figure 53. STEVAL-BFA001V2B parameter settings and configuration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54

Figure 54. STEVAL-BFA001V2B parameter overview and analysis with time domain array . . . . . . . . . . . . . . . . . . . . . . 55

Figure 55. STEVAL-BFA001V2B 2 nd

analysis with frequency domain array . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55

Figure 56. STEVAL-BFA001V2B time domain predictive maintenance results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56

Figure 57. STEVAL-BFA001V2B frequency domain sub-range status and all status results . . . . . . . . . . . . . . . . . . . . . . 57

Figure 58. STEVAL-BFA001V2B environmental measurement and parameter list. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58

Figure 59. STEVAL-STWINKT1 devlopment kit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59

Figure 60. STEVAL-STWINWFV1 expansion board . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60

Figure 61. STEVAL-STWINKT1 terminal setup. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61

Figure 62. Initialization phase . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62

Figure 63. UART console output after a device has been connected to the STEVAL-STWINKT1 . . . . . . . . . . . . . . . . . . 63

Figure 64. Predictive maintenance cloud application overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64

Figure 65. Predictive maintenance cloud application functional blocks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65

Figure 66. Tera Term terminal setup . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66

Figure 67. Tera Term COM port selection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66

Figure 68. Wi-Fi credentials . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66

Figure 69. AWS credentials . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67

Figure 70. AWS security certificates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67

Figure 71. Data published via MQTT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67

Figure 72. STWIN core system power button . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68

Figure 73. DSH-PREDMNT dashboard overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69

Figure 74. DSH-PREDMNT configuration files to connect your device to the cloud . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70

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UM2566

List of tables

List of tables

Table 1. Compatible hardware platform overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2

Table 2. X-NUCLEO-BNRG2A1 and ST-LINK/V2-1 pin connections . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19

Table 3. Document revision history . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71

UM2566 - Rev 5 page 77/78

UM2566

IMPORTANT NOTICE – PLEASE READ CAREFULLY

STMicroelectronics NV and its subsidiaries (“ST”) reserve the right to make changes, corrections, enhancements, modifications, and improvements to ST products and/or to this document at any time without notice. Purchasers should obtain the latest relevant information on ST products before placing orders. ST products are sold pursuant to ST’s terms and conditions of sale in place at the time of order acknowledgement.

Purchasers are solely responsible for the choice, selection, and use of ST products and ST assumes no liability for application assistance or the design of

Purchasers’ products.

No license, express or implied, to any intellectual property right is granted by ST herein.

Resale of ST products with provisions different from the information set forth herein shall void any warranty granted by ST for such product.

ST and the ST logo are trademarks of ST. For additional information about ST trademarks, please refer to www.st.com/trademarks . All other product or service names are the property of their respective owners.

Information in this document supersedes and replaces information previously supplied in any prior versions of this document.

UM2566 - Rev 5 page 78/78

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User manual

Getting started with the STM32Cube function pack for multi-sensor nodes with signal processing to enable predictive maintenance

RELATED LINKS

1

FP-IND-PREDMNT software expansion for STM32Cube

Compatible hardware platforms

RELATED LINKS

Firmware

Batch script

2

STM32 Nucleo platform

RELATED LINKS

X-NUCLEO-IKS01A3 setup

X-NUCLEO-BNRG2A1 setup

RELATED LINKS

Terminal window setup

Sample application startup

Main page

Plot data

Settings, serial and debug console

FTT amplitude

Predictive maintenance

RSSI and battery

Board configuration

Firmware-Over-The-Air update with STBLESensor

3

STEVAL-BFA001V2B platform

RELATED LINKS

Terminal window setup

Sample application startup

4

STEVAL-STWINKT1 platform

RELATED LINKS

BLE application

Predictive maintenance cloud application

Predictive maintenance cloud

Hardware components

Development boards

RELATED LINKS

Contents

List of figures

List of tables

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