ARTIFICIAL INTELLIGENCE, WITH ITS CAPACITY TO PROCESS vast amounts of data and learn from it, is well-positioned to address numerous safety challenges in aviation. Some key areas where AI is making significant strides are:
Predictive Maintenance. One of the critical applications of AI in aviation is predictive maintenance. Traditional maintenance schedules are based on fixed intervals, which might not account for the actual wear and tear on specific components. AI systems analyse data from sensors on aircraft to predict when a part is likely to fail. This proactive approach can prevent potential malfunctions that might lead to in-flight incidents.
Flight Path Optimisation. AI can optimise flight paths by analysing weather patterns, air traffic, and other variables in real-time. This not only enhances fuel efficiency but also ensures that flights avoid turbulent or hazardous conditions, thereby increasing passenger safety.
Pilot Assistance and Automation. AI systems can act as advanced co-pilots, providing real-time assistance to human pilots. These systems can analyse vast amounts of flight data instantaneously, offering suggestions or taking automated actions to prevent accidents.
この記事は SP’s Aviation の Issue 6, 2024 版に掲載されています。
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この記事は SP’s Aviation の Issue 6, 2024 版に掲載されています。
7 日間の Magzter GOLD 無料トライアルを開始して、何千もの厳選されたプレミアム ストーリー、9,000 以上の雑誌や新聞にアクセスしてください。
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