The FP-SNS-DATALOG2 function pack represents an evolution of FP-SNS-DATALOG1 and provides a comprehensive solution for saving data from any combination of sensors and microphones configured up to the maximum sampling rate.
FP-SNS-DATALOG2 is based on application-level modules ((Sensor Manager, EMData, …) that a final user can reuse and extend easily to build up its custom application. These application modules adopt state-of-the-art design patterns, and they support natively low-power modes. To enable this solution, the function pack has been built on top of eLooM, an embedded Light object oriented fraMework for STM32 applications properly designed for embedded low power applications powered by STM32.
The FP-SNS-DATALOG2 application allows to store sensor data onto a microSD™ card (secure digital High capacity - SDHC) formatted with the FAT32 file system, or stream to a PC via USB (WinUSB class) using the companion host software (cli_example) provided for Windows and Linux. It can also configure an ISM330DHCX and LSM6DSV16X Machine Learning Core unit and the ISM330IS Intelligent Sensor Processing Unit, so to read the output of the selected algorithm.
This application allows downloading the selected configuration from a JSON file to the board as well as starting and controlling data acquisition. The same set of commands can be operated from a host via Command Line Interface or via Bluetooth using the STBLESensor app which lets you manage the board and sensor configurations, start/stop data acquisition on SD card and control data labeling. To read and process sensor data acquired using FP-SNS-DATALOG2, a few easy-to-use scripts in Python are provided within the software package. The scripts have been successfully tested with Python 3.10.
The package also includes an example of ultrasound condition monitoring (UltrasoundFFT) for STEVAL-STWINBX1 that calculates the FFT of the IMP23ABSU analog microphone signal and streams the result to a PC GUI via USB. The microphone sampling rate is set by default to 192 kHz whereas the microphone bandwidth is up to 80 kHz.
A new PDetect example for STEVAL-STWINBX1 + STEVAL-PDETECT1 for presence and motion detection has been added in FP-SNS-DATALOG2 v2.1.0.
The FP-SNS-DATALOG2 software has been developed for the B-U585I-IOT02A, STEVAL-STWINBX1, STEVAL-STWINKT1B and STEVAL-MKBOXPRO development kit and X-NUCLEO-IKS02A1 with NUCLEO-U575ZI-Q or with NUCLEO-H7A3ZI-Q.
Here is the list of references to user documents:
- DB4865 : STM32Cube function pack for high speed datalogging and ultrasound processing
- UM3106 : Getting started with the STM32Cube function pack for high speed datalogging and ultrasound processing
- Doxygen: Doxygen documentation
- STM32Cube: STM32Cube
- To run properly DATALOG2 example on STWIN.box, before using those applications, WIFI module firwmare must be upgraded. The binary is available in Utilities/WiFi_module_upgrade folder.
- IAR Embedded Workbench for ARM (EWARM) toolchain V9.20.1
- RealView Microcontroller Development Kit (MDK-ARM) toolchain V5.37
- STM32CubeIDE v1.14.0
- STEVAL-MKBOXPRO
- STEVAL-PDETECT1
- STEVAL-STWINBX1
- STEVAL-STWINKT1B
- B-U585I-IOT02A
- X-NUCLEO-IKS02A1 with NUCLEO-U575ZI-Q
- X-NUCLEO-IKS02A1 with NUCLEO-H7A3ZI-Q
- None
- None