MEMS inertial sensors used in products such as the Yocto-Inclinometer or the Yocto-3D-V2 can determine their orientation with regards to terrestrial gravity, like an electronic spirit level. It is tempting to use them to measure the orientation of moving objects, such as vehicles, but it's not as easy as we might hope. Here are some explanations on the difficulties one might expect, as a reminder of your kinematic physics courses...
This week's post is dedicated to beginners who have just received their first Yoctopuce module and who wonder about the kind of code they are going to need to write to make it work. So we are going to talk about the general structure of an application using Yoctopuce modules.
This week, we are going to talk about a popular topic these days: the ventilation of a work room. CO2 being a good indicator of air "pollution", we are going to see how to automate the opening of motorized Velux skylight windows depending on the CO2 rate inside a room.
A few years ago, we showed you how to integrate Yoctopuce sensors in a Grafana dashboard used with InfluxDB, which was a very common solution at the time. In the mean time, GrafanaLabs has set its sights on another time-series database, Prometheus, which offer many more possibilities to extract data than InfluxDB. We have therefore added to our modules the possibility to provide their data in a format directly recognized by Prometheus.
When Yoctopuce talks with customers, we realize that there are sometimes misunderstandings about the inner workings of Yoctopuce sensors. These misunderstandings may lead to suboptimal use of the said sensors. Therefore, this week we are going to clarify some points.
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