Post by DTU - Technical University of Denmark

𝗦𝗶𝗺𝗽𝗹𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽 𝗱𝗶𝗮𝗴𝗻𝗼𝘀𝗲 𝗱𝗮𝗺𝗮𝗴𝗲 𝗶𝗻 𝗮 𝘄𝗶𝗻𝗱 𝘁𝘂𝗿𝗯𝗶𝗻𝗲’𝘀 𝗯𝗹𝗮𝗱𝗲𝘀 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝘀𝗵𝘂𝘁𝘁𝗶𝗻𝗴 𝗶𝘁 𝗱𝗼𝘄𝗻🦾 Associate Professor Xiao CHEN is the originator of the system AQUADA developed at DTU Wind and Energy Systems. The system can identify damage requiring repair in real time using three-in-one technologies: • Thermography: Imaging of temperature differences within a structure.  • Computer vision: AI algorithms that detect, classify, and measure patterns in image data. • Drones: Standard commercial drones The AI model developed by Xiao Chen and his team analyses images and identifies potentially critical damage. This provides a stronger basis for decision-making when a specialist must determine whether to repair the damage immediately or postpone the repair. “We can also say what does not need attention, which helps avoid unnecessary shutdowns,” he explains. The method saves both time and money, while enabling more green electricity to be generated from existing wind turbines. Read the full story: In English https://lnkd.in/e9U3CzbS På dansk https://lnkd.in/eJszhf8d Photos in PDF: Bax Lindhardt