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“ The high data quality makes us more precise and more cost-efficient , and it also allows us to conduct the inspection more safely ” MILENA RAMOS SUBIRES VP TRANSMISSION SERVICE , SIEMENS ENERGY
“ The use of artificial intelligence is an important advance in the inspection of power lines ,” says Milena Ramos Subires , Vice President Transmission Service at Siemens Energy .
“ The high data quality makes us more precise and more cost-efficient , and it also allows us to conduct the inspection more safely . What ’ s more , with conventional measurement and inspection techniques , the lines would have to be flown over several times to get the same results .”
Each flight saves 74 tonnes of CO2 emissions . “ This is another way that we ’ re making an important contribution to the environment , while supporting our customers to maximise the reliability of the transmission grids ,” she adds .
From data mountain to digital twin Every kilometre of line flown generates 300GB of data . The SIEAERO system uses this data to create a digital twin – a highly accurate image of the network infrastructure being inspected , including poles , lines , terrain , and vegetation .
With the digital twin , network operators can simulate extreme events like a tree falling on a line and causing it to fail and take the appropriate preventive measures . To guarantee a continuous power supply during
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