 In this demo I'll be using the ST-WIN sensor development kit to perform remote monitoring of temperature and fan speed in a server. The ST-WIN features multiple MEM sensors for motion and environmental monitoring. Here I'll be using two, the HTS221 humidity and temperature sensor to monitor temperature and the IIS3DWB vibrometer to monitor fan speed. The ST-WIN has been programmed with the STM32Q Predictive Maintenance Function Pack, which in addition to the Wi-Fi expansion board provides connectivity to stream sensor data to the cloud. Here you can see the ST-WIN mounted inside the server next to the cooling fans. Once connected to the internet, access ST's Predictive Maintenance Platform website to configure the sensors and view sensor data. Clicking on the configuration tab you can see the connected ST-WIN board. Going to the settings, let's look at the alerts. In the dropdown menus, there's options to set alerts for the active sensors. In this case, I'll select environmental and temperature alerts. You can see I have set up a temperature alert threshold to signal when the server temperature has exceeded 30 degrees Celsius. I'll go ahead and save the alert settings and select the dashboard tab. The dashboard displays data for the active sensors. Here you can see data for the HTS221 in the environmental data box, and the IIS3DWB in the vibration analysis box, as well as FFT of the vibrometer data. In this case, we'll be looking at the temperature and vibration analysis, specifically the vibration amplitude. In the upper right corner of each box, you can see the data upload interval. For both sensors, data will refresh every five seconds. The server is currently off. I'll go ahead and activate the server. We'll see the fan turn on and see a change in the vibrometer data, and the temperature will start to rise. Here you can see the change in the vibrometer data. The Z-axis amplitude is reading about 0.3 meters per second squared, and the FFT now shows a clear frequency component compared to the noise before the server was turned on. We'll watch the temperature rise, and once it exceeds 30 degrees, an alert icon will appear. This red bell here, I'll click on the bell and see there's one alarm. I'll click on the alarm, and that will take me to the events tab. You can access the alert log at any time by clicking on the events tab, so you can see the alert log here, and the latest alarm is an alarm indicating a temperature fault. After the temperature fault has been reported, let's go back to the server and we can see the fan speed increase. Now let's go back to the STWIN dashboard and confirm the fan speed has changed by looking at the vibration data. We can see the amplitude of the Z-axis data has increased to about 0.6 meters per second squared, and that is a remote monitoring demo using the STWIN development kit.