For the development of our intelligent controllers we bet on IIOT (Industrial Internet of Things) technology, in addition to algorithms, such as adaptive 3D backtracking, machine learning or production optimization with diffuse irradiation, which allow us to get the most out of the photovoltaic plants.
From the geographical coordinates and the data collected by the various sensors of each plant, the algorithms come into action, processing said data and turning it into very valuable information, a key element in the decision-making of our controllers. These decisions allow the optimization of the performance of the photovoltaic plants.
Another of the great advantages of our solution is that, regardless of the stability of communications, we manage to reach all the trackers in the plant and, consequently, improve the gain and availability ratios. This, together with PVH’s constant work to maintain an architecture that avoids system obsolescence, allows us to carry out software updates for the equipment already installed that optimize the characteristics and performance of the plant.