By: Elena Mart
“With the global rise of AI, I am convinced that it will play a revolutionary role in the aviation industry.” Han Chu, the inventor of the flight manager system, shares her anticipation for AI’s application in the aviation sector, particularly in the United States. With 11 years of extensive experience in aviation services, she emphasizes that frequent delays and service issues were key concerns during the development of the flight manager system. “Fortunately, my 11 years in the industry, covering cargo, business jets, and passenger airlines, has enriched my understanding of flight management, operations, and service, providing numerous insights while helping my former company optimize their flight systems,” says Ms. Han. She formally began developing the flight manager System in October 2019, achieving significant success during the 2020 pandemic outbreak with a business jet company in China.
Since starting her studies in aviation science and pilot training at Embry-Riddle Aeronautical University in 2022, Ms. Han has gained an in-depth understanding of the U.S. aviation industry. “However, I’ve also noticed several issues behind its strength. As an aviation professional and a frequent business traveler, I am extremely sensitive to the timeliness of flights and empathize with passengers’ frustrations due to delays and poor airport services,” she notes. According to authoritative data from Cirium, neither U.S. airlines nor airports rank in the top three globally for punctuality, a disappointing fact. As a leading aviation nation, the U.S. has one of the busiest and most complex air networks worldwide. Implementing AI in flight and airport operations management could not only enhance efficiency and improve passenger experience but also boost flight safety and foster innovative development, tackling various challenges and changes to support sustainable growth in the aviation industry.
Ms. Han’s system, based on commonly used expert systems in the AI field, can analyze historical flight data, weather forecasts, and traffic conditions to predict potential flight delays and cancellations, providing optimal scheduling solutions and decision-making advice. It also monitors flight operations and traffic conditions in real-time, enabling timely flight schedule adjustments to improve punctuality. Additionally, it can analyze aviation safety data, monitor safety incidents and risk factors, predict potential safety hazards, and automatically identify risks and anomalies, taking preventive and responsive measures.
Asked about her future plans, Ms. Han says she has been fortunate to receive support from many in the U.S. aviation industry during her studies. In particular, the owner of an aviation company with a fleet of 15 small and medium-sized aircraft expressed keen interest in her system and proposed a purchase. “I am honored that in the past two months, my AI flight management system has been trialed in their daily operations,” she shares. The company owner, Mike, is thrilled that the system’s application has reached high historical utilization of their fleet, driving economic gains of at least 25%, and preventing at least two potential flight safety risks, an unexpected and welcome surprise. Mike’s high praise is evident, and he jokingly suggests, “If Ms. Han is willing to stay and develop her career in the U.S., we would hire her as our operations director tomorrow. A comprehensive talent who understands flight management and can pilot airplanes is a rare gem we wouldn’t want to lose to other companies.”
Indeed, in today’s world where AI is extensively applied across various sectors, systems like Ms. Han’s AI flight management system are crucially needed in the aviation field, wouldn’t you agree?
Published By: Aize Perez
