A faulty tap is easy to spot. Wind turbines and solar panels are trickier, but drones can help.
Now, a Hamburg-based startup is focusing on the predictive maintenance of machines, with potential issues forecast up to a year in advance.
Using real and virtual models, the company’s software creates a digital twin of the machine in question. A maintenance platform monitors its individual components and predicts future performance using artificial intelligence.
Automated drones, meanwhile, carry out regular quality control, meaning repair work can be properly scheduled and performance improved.
Optimization advice and production forecasts make it possible to plan energy input into the grid. A 15% increase in output and a 50% reduction in operating costs are possible.