Proactive Maintance

 this way, while the investors get a fairly fast return, the citizens of the city get high quality living standards, so they start calling a new machine.

Well, what would the result be if these intelligent systems, which learn besides control, were learning about malfunctions and compared them to regions, time and the living spaces they interact with?

If these autonomous systems could analyze faults and even predict them before they actually occur, wouldn’t this be the beginning of a new era?

Artificial Intelligence technology is very successful in controlling lighting systems and processing statistical data.

The success achieved by these technologies is far beyond today’s technologies such that Artificial Intelligence learns the possible malfunctions in a certain period of time in a region or on some device. With the data it obtains, it ensures that there are more malfunctions in which region, in which region the power outages cause constant and problems, and these problems cause illumination or communication problems in general, and the problems that may occur in the near future are shared in advance. If we give an example, the problems caused by the electrical fluctuation of the regional air conditioners in the city may trigger new problems regionally, X hardware problems were experienced in this region during the previous 3 phases, possible X is expected. The problems that may occur are returning in the way that they are likely to be caused by Y and Z.