How Artificial intelligence helped to reshape Aviation Industry.
The aerospace industry has always been at the forefront of technological advancements, pushing the boundaries of what is possible and revolutionizing the way we live and work. The aerospace industry already widely uses AI for various applications, and it has only just begun to make an impact. Business and technology grow hand in hand. Companies that do not leverage technology for the good of their customers or employees do not often last. Almost every aerospace and defense company is looking to exploit the potential for AI to improve their aircraft, with a focus on safety, security, AI assurance, human factors and ethical considerations. But AI is not only changing the way airplanes fly. It is transforming nearly every aspect of aviation on the ground, too. One of the most significant ways AI is transforming aerospace engineering is through the optimization of aircraft design. As AI and machine-learning technology have matured in recent years, the aviation industry has explored ways to capitalize on it by making processes more efficient and often safer.
Dispatchers are responsible for safely planning the most effective route for each aircraft. They collaborate with pilots to guarantee a flight's safe routing and operation. Therefore, present and expected weather, recorded air turbulence, aircraft performance, safety regulations, air traffic-control compliance, and traffic volume must all be considered, making the planning process a very complicated workflow. Artificial intelligence and machine learning can be used to enhance efficiency and sustainability of flight operations by optimizing routes and enhancing airline traffic prediction and flow. Airlines and other operators can also use AI for fleet optimization, flight planning, and ground operations. Engineers developing aircraft can use AI tools to facilitate and speed up the design and certification of products before they even hit the market.
The aviation industry already has used at least some primitive form of AI technology for years, particularly for manufacturing and MRO. Traditional AI relies on human programmers to define rules and algorithms for pattern-matching and decision-making processes, and it can analyze large datasets much faster than humans. AI to analyze data from the various sensors onboard an aircraft to predict potential maintenance needs before they arise. IoT data can be combined with weather, airport, and navigation data to predict and minimize potential schedule problems. Using AI to process information and uncover hidden insights is a tremendous boon to those responsible for safe scheduling. For example, Crew members’ qualifications and previous travel (e.g., between multiple time zones), work regulations, flight type, fuel usage, and even flight route all must mesh; pilots and flight attendants have to meet specific regulatory requirements for time off and maximum working hours; all of this and more has to go into the schedule.
Airlines can also use AI to personalize and smooth everyone’s airport experience in other ways. For example, they can analyze customer data to provide booking assistance and appealing loyalty rewards. The world's leading airlines are already using artificial intelligence in aviation to improve operational efficiency, avoid costly mistakes, and increase customer satisfaction. Customer data can also be analyzed in the aggregate, allowing airlines and airports to make informed decisions about how to keep their customers happy. Customers can now book flights, manage baggage, communicate with hotel staff in unfamiliar languages, and even take virtual tours of unseen cities, all thanks to the power of artificial intelligence.
AI allows companies to automate operations, acquire insights from data and develop new value propositions, which will help companies create new goods and services, increase productivity, and gain a competitive edge as it continues to grow. It is possible for aviation businesses to streamline their flight planning, crew scheduling, maintenance tracking, aircraft dispatch, and other processes.?AI could monitor aircraft systems in real-time and detect anomalies that could indicate a problem. This could help prevent accidents and reduce maintenance costs. AI can also improve operational efficiency in the aviation industry. With AI, making travel arrangements has become easier as it offers automated and customized services.?
AI created a taste of the effortless airport experience that more well-heeled travelers enjoy. AI automates repetitive and time-consuming tasks, reducing waiting times and costs while freeing up employees to focus on more critical responsibilities and addressing chronic staff shortages. AI being implemented by airlines for facial recognition, customer Q&A, baggage check-in, factory operation optimization, and aircraft fuel optimization. AI-based predictive maintenance is slowly becoming a trend in the global aircraft maintenance market. It will help the maintenance engineers to predict failures before they happen. At Eindhoven Airport, a new AI baggage-handling system is being piloted whereby passengers simply photograph their bags, drop them off, and pick them up at their destination—no labels required. Subject to privacy requirements, it hopes to do the same with people. All this will help you get to your flight more quickly.
None of these things, however, hit the key drivers of uncertainty in your travel to your flight — traffic and security. Change, however, is already here about traffic. Navigational apps such as Waze account for traffic conditions and can reasonably estimate how long it takes to get to any airport based on the time of day. The apps aren’t perfect, but they keep getting better. Artificial Intelligence (AI) has become a critical tool for the aerospace industry. It helps improve fuel efficiency, part design, inspection processes, and maintenance, repair, and overhaul (MRO). AI is also enabling engineers to give passenger, military, and emergency response craft new capabilities.AI can also be used to enhance security in the travel and tourism industry by detecting fraudulent activity and malicious behavior. AI-driven facial recognition systems, for example, can help ensure that only authorized personnel have access to secure areas in airports and other travel destinations.
Though, all airlines might not be able to afford or invest in such new and expensive technology. Second, it will take some time for implementation by the worldwide aviation industry. Recently, Boeing was under intense scrutiny after its 737 Max Jet was involved in two deadly crashes. Air traffic control (ATC) is one of the most crucial aspects of all flights. In the case of international flights, the communication between a pilot and an air traffic controller is usually cross-lingual and cross-cultural. Even though both use English for communication, their accent might be different, which can create confusion. For example, it can be difficult for an Indian pilot to understand the heavily accented English of a European controller. Moreover, the communication channels of ATCs are noisy, which makes it more difficult for the pilot to follow. Thanks to Airbus’s AI-Gym program, they have been able to develop a machine learning algorithm that would not only clear the noise in real-time but also provide a full transcript of the controller’s audio.
Travelers often struggle with navigating unfamiliar airports finding transportation and the rest of the after-flight experience. By collecting and analyzing various kinds of transportation and customer experience data, AI-enhanced apps can guide passengers to the baggage carousel help them book a ride, and even suggest nearby points of interest to help brighten their post disembarkation time. The technology can continuously monitor weather conditions and other factors with the aim of reducing unplanned downtime. AI can also be used to detect hidden patterns to provide the air transport industry with insights on other possibilities that can cause flight delays and cancellations. Some airlines have equipped the cabin crew with a data analytics app that provides detailed information on the passengers sitting in each seat. In flight and during the boarding process, this info can be used to make seating changes and tailor offers to each person’s tastes.
One of the main challenges of AI in aviation is ensuring the safety and security of the system. As with any complex technology, there is a risk of errors and malfunctions, and it is important to ensure that AI systems are thoroughly tested and validated before they are deployed. As the aviation industry continues to adopt emerging technology like artificial intelligence, they will receive enormous benefits in revenue management, predictive maintenance, flight scheduling, and more.
Ultimately, all these benefits will result in one thing, which is at the core of every airline’s business: a better customer experience. Major airlines are embracing AI, machine learning (ML) and the Internet of Things (IoT) as ways to enhance customer experience, trim the budget, and critically remain competitive.?self-check-in kiosk to the next level using facial recognition and the passenger’s passport photo to speed people through the check-in process and reduce aircraft boarding times. using AI and IoT sensors to optimize baggage handling. This includes creating faster routes for baggage trolleys and sending automatic updates to passengers and gate agents should luggage go missing. Offering app experience by partnering with Amazon Alexa to deliver voice-based interactions to their customers, allowing travelers to stay in the know without lifting a finger (literally).
Conclusion: The use of artificial intelligence in aviation has made many tasks easy for airlines and airport authorities across the world. From identifying passengers to screening the bags and providing fast and efficient customer care solutions. But in aviation, AI is restricted to non-critical ground activities, because aviation-specific challenges in terms of reliability, cyber security and real-time factor still needs to be resolved for more complex tasks, such as air traffic control or aircraft operations. The aviation business is being reshaped by artificial intelligence as well as other emerging technologies such as robotics, the Internet of Things, unmanned aircraft systems and hybrid and electric airplanes.
References:
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https://education.siliconindia.com/training-institutes/viewpoint/in-my-opinion/how-ai-is-reshaping-the-aviation-industry-nwid-21320.html
https://www.iotforall.com/how-ai-reshaping-aviation-industry
https://fagenwasanni.com/news/the-ai-takeover-how-artificial-intelligence-is-reshaping-aerospace-engineering/392/
https://www.engadget.com/hitting-the-books-power-and-prediction-agrawal-gans-goldfarb-harvard-business-review-press-153019603.html
https://aeroji.com/tpost/bd6gg3cxs1-ai-is-reshaping-the-aviation-industry
https://www.meer.com/en/70952-role-of-ai-in-the-aviation-industry
https://skift.com/2022/09/16/how-artificial-intelligence-is-influencing-the-future-of-work-in-the-airline-industry/
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1 年Great bro