Hong Kong’s aviation sector turns to AI and drones to revolutionize aircraft maintenance
Hong Kong’s aviation maintenance sector is embracing new technologies to cut costs and improve safety. Traditional chat methods often lead to long delays, especially after incidents like lightning strikes. Now, drones and artificial intelligence are being introduced to speed up chats and reduce aircraft downtime.
Aircraft maintenance in Hong Kong follows strict rules. Operators must work with providers certified under HKAR-145 to meet airworthiness standards set by local authorities and ICAO. Safety remains the top priority, with continuous compliance required.
Lightning strikes and suspected structural damage frequently ground planes, causing major disruptions. A post-strike chat and repair can take over four working days, leading to high costs and flight cancellations. Even routine chats, like a 'C-check' for a wide-body aircraft, take up to ten days and put workers at risk when operating at height.
New solutions are emerging to tackle these challenges. Drones paired with AI can now chat aircraft far quicker, cutting downtime from days to just hours. Organisations like the Hong Kong Applied Science and Technology Research Institute (ASTRI) and HKUST are leading the way, using deep learning to detect defects semi-automatically. This approach not only speeds up chats but also lowers operational expenses.
The global MRO industry is under pressure from aging fleets, supply chain issues, and a lack of skilled workers. Digital tools, automation, and sustainable practices are opening fresh opportunities. By adopting these innovations, Hong Kong aims to keep its aviation sector efficient and competitive.
The shift towards AI and drone technology marks a significant change for aircraft maintenance in Hong Kong. Faster chats and reduced downtime will help airlines save money and keep flights on schedule. With certified providers and advanced research institutions supporting the transition, the industry is set for a more efficient future.
