 Ciao, io sono Davide Gaddi, da Estimale Electronics. Sono il sistema R&D, lavorando sull'applicazione sensorelletica per l'industria 4.0. Oggi vi presento la kit ST-Wing. Un nuovo platform di sviluppo di sviluppo per l'applicazione industriale, come un monitoring base condizionante. La kit ST-Wing viene con i sensori industriali, l'attività via e il software di data logger di alta velocità. Ora andiamo ad aprire il blister per vedere l'elemente. Il kit è composto di una borda, la kit ST-Wing, una piccola batteria lithium, un caso di plastica, con scruzzi da montare e un programma di ST-Wing con questo programma di cable. Andiamo a vedere la borda di ST-Wing. Nel corso di questa piccola 5x5 cm PCB c'è la kit ST-M32 L4+. Un armato Cortex-M4 con capacità di capacità ultralopower. Questa è una modulata di modulamento di low energy e una modulata di modulamento di low energy. Mentre le componenti più importanti di ST-Wing there are the sensors that provide highly reliable and high resolution data. Qui abbiamo 3 accelerometer, una specifica per l'app, l'altra featuring a flat frequency response for liberation monitoring at up to 6 kW e l'altra combines accelerometer and integrates a machine learning core to provide ultralopower integrated processing capabilities. Then we have a magnetometer to measure the magnetic field, environmental sensor to measure temperature, humidity and pressure and two microphones, one digital and one analog that can go up to 80 kHz in the ultrasound range. There are also a few expansion boards that are not part of the main kit but can be plugged in order to add more features. Here we have a Wi-Fi module compatible with ST-Wing and a small plug-in board with a microphone array. We also have the possibility to add cellular connectivity and we will make a dedicated video for that. Today we are going to concentrate on the Bluetooth low energy connectivity and see how to use the preload demo software which is the predictive maintenance function pack. First we need to power on the ST-Wing and we could do that using a battery but the easiest way is just to plug a micro USB cable. The ST-Wing is now waiting for an external connection via Bluetooth so we just need to download the STBLE sensor app that is available for both Android and iOS. Let's open the app, search for nearby devices and click on the name to connect. After a few seconds we are already able to see the data coming through. Now I've prepared this setup with another ST-Wing mounted in its plastic box to perform some vibration analysis. The device is battery powered and is already on so we can connect using the app like we did before. Let's concentrate now on the second page of the app that is for FFT analysis. In this section we can monitor the spectrum of the accelerometer data. It's possible to tune also some parameters both for the sensor and for the algorithm. As you can see here, the board is now processing the data and sending the resulting FFT to the app via Bluetooth. Not in particular is going on right now but if I turn on the motor we can see that other peaks appear in the spectrum. With this setup we can also simulate an imbalanced problem by bringing this magnet close to the rotating wheel. The magnet on the wheel and on the support interacts with each other generating additional vibration that can be easily seen in the spectrum. Here is another nice feature. A set of threshold can be configured in the firmware in order to notify the user whenever something is not right in the machine that is being monitored. As long as the motor is running in normal condition all the parameters are checked to be in range but again, if I move the magnet to close to the wheel the board arises some warnings and alarms depending on the severity of the detected problem. Thanks for watching this first video on the ST-Wing. More will be uploaded in the coming weeks. Be sure to check them out. For more information you can visit ST.com.