But with TeamViewer IoT, the breakthrough isn’t just graphical.
With such an interaction with the real-time data coming from the machine and the new level of precision input, TeamViewer IoT could fit a machine learning layer and rules engine on top of its digital twin.
Say you are monitoring that power regulator in the middle of the desert (and perhaps dozens of others around the country) and, among other failures, a power spike can have inefficient or even dangerous consequences. Traditionally, technicians would have to be available as long as that pump was running to make sure the voltage stayed at a manageable level.
With TeamViewer IoT, you can set a rule for acceptable voltage levels. Anything outside that range can trigger the automatic activation of a particular fuse or some other troubleshooting action, avoiding a potentially expensive failure. It can also alert a technician or manager that it took those preventative steps. On the machine learning side, all that data then goes into informing a more efficient maintenance schedule for the regulator.