HTS221

This ultra-low power sensor node features the BlueNRG-2 Bluetooth Low Energy system-on-chip and a suite of ultra-low-power ST sensors, including a magnetometer, gyroscope, accelerometer, pressure, temperature and humidity, MEMS microphone and time-of-flight sensor. It is an ideal solution for applications ranging from smart home to smart agriculture, supply chain management, asset tracking and other industrial applications.<p>The BlueNRG-2 BLE SoC monitors environmental pressure, humidity and temperature sensor data, as well as motion data from the accelerator, gyroscope and magnetometer, which can be processed by firmware on the Cortex M0 core to provide functionality such as event detection and even object tracking in 3D space through powerful MEMS sensor fusion algorithms.<p>The Soc can also transmit obstacle distance information from the embedded time-of-flight sensor data.<p>The MEMS microphone allows audio and music transmission over Bluetooth low energy with appropriate firmware running on the core.<p>The ultra-low power features of each device and BLE connectivity allow a completely wireless node powered by a standard CR2032 coin battery, with the possibility of joining many nodes in extended BLE mesh networks.<p>The solution includes comprehensive firmware with ready-to-use examples, and a BLEsensor app for Android and iOS mobile devices completes the package with data visualization and node control functionality.

This NFC Sensor Tag solution is an ultra-low power sensor node that collects temperature, humidity, pressure and motion sensor data and logs the information with corresponding timestamps in its EEPROM, it can be transmitted to a secure NFC reader within range.<p>The solution is built around the ISO/IEC 15693 compliant ST25DV-I2C Type 5 NFC Tag, stores environmental and motion sensor data delivered via the STM32L0 ARM Cortex M0+ microcontroller in secure EEPROM, and transmits the data to the reader. All the data is collected by three smart ST sensors chosen for their performance characteristics in terms of accuracy, power consumption and compactness.<p>The node can operate for years without battery replacement thanks to several smart power conservation strategies, including energy harvesting of RF signals from nearby NFC readers to complement the power supplied by the very small CR2032 battery, which is regulated by the STLQ015 LDO.<p>The solution is ideal for supply chain and cold chain monitoring applications involving perishable and valuable goods, asset tracking, healthcare, smart apparel, smart packaging and smart agriculture, among others.

This self-contained and ready-to-use modern industrial sensor solution implements multi-sensing functionality with embedded LSM6DSL 3D accelerometer and 3D gyroscope, LSM303AGR 3D accelerometer and 3D magnetometer, LPS22HB pressure sensor, and HTS221 humidity and temperature sensors, along with the L6362A physical IO-Link transceiver and STM32L073RZT6 microcontroller hosting the relevant protocol stack.<p>The node complies with the definition of an IO-Link device according to the provisioning protocols defined by the standard and facilitates expansion with additional sensors to extend the range of data supplied by the node.<p>The architecture represents a smart sensor node capable of monitoring equipment status, with all the benefits of the IO-Link industrial communication standard, including automatic node configuration, hot plug automatic device recognition, and several diagnostics features

This Condition Monitoring and Predictive Maintenance framework combines smart sensor nodes that collect vibration, ultrasound and environmental data with Wi-Fi or cellular connectivity to a central data lake such as a Cloud service.<p>Critical vibration data is processed locally on an STM32L4+ microcontroller by combining 3-axis acceleration data from a 6kHz IIS3DWB vibration sensor and ultrasound data up to 80kHz from a MP23ABS1 microphone sensor, in order to generate frequency and time domain analyses such as FFT, RMS, and Peak Acceleration. Environmental pressure, temperature and humidity data is also collected by the LPS22HB and HTS221 sensors embedded on the node.<p>The very low power requirements of the MCU and the sensors allow for compact, battery-operated nodes driven by the STBC02 battery charger.<p>The STM32L4+ microcontroller supports wireless data transmission through an additional Wi-Fi module such as the Inventek ISM43362.M3G-L44, or via a cellular modem such as the Quectel BG96, which supports LTE Cat M1 and NB-IoT connectivity with a plastic Micro-SIM (3FF).<p>ST provides a Predictive Maintenance Dashboard application based on AWS IoT core and other AWS services to provision nodes, plot data, and configure triggers as part of an end-to-end solution