Harnessing the power of renewable energy sources requires an efficient, streamlined process, with machinery that is able to endure years of exposure to the elements with the least amount of malfunctions. Wind turbines, for instance, are at their most efficient when they are able to run smoothly and constantly, without pausing for repairs that could have been avoided.
Reliable, predictive maintenance power generation is therefore crucial for the effectiveness of today’s energy sector. By picking up on seemingly insignificant changes in the machinery’s regular performance, and then calculating the most efficient response to them, predictive analytics helps energy systems manage minor glitches before they become a major problem.
ScoutCam technology is able to provide energy systems—for example, solar power machinery—with the necessary predictive maintenance solutions to improve their continuous operations. Able to withstand severe weather conditions and extremely high temperatures, ScoutCam’s visualizing, analyzing and predictive maintenance solutions can be incorporated into solar panel systems and oversee their functioning even during peak times of heat and sunlight.
The durability of ScoutCam’s equipment is paired with its ability to fit into systems’ hard-to-reach areas: sliding through tiny crevices and retrieving information from tucked-away, sought-after corners of their system’s mechanism, ScoutCam’s visualization solutions are able to identify a potential problem, store information regarding its seriousness, and offer a real-time, cost-effective response to it.