The last few years have seen rapid growth in the global aviation industry. It has been noted that the aerospace market is highly fragmented, serving several sectors, including military and commercial aviation and space exploration. Industry players must ensure safety, reliability, and customer loyalty.
Incorporating artificial intelligence (AI) in the aerospace industry can aid companies in streamlining manufacturing and addressing safety concerns. Artificial intelligence can streamline many processes and activities in the aerospace industry, including system management, simplifying analytics, customer service, etc.
AI in the aerospace industry
Due to its long regulatory cycles, the aerospace industry has always needed help keeping up with the most recent technological developments. The success of this industry depends upon the components that need to be highly reliable and accurate as it is a mission-critical industry. Fortunately, the industry players are hopeful that implementing AI technology will help address all these bottlenecks. But the algorithms must be knowledgeable and reliable.
It can help the industry by reducing costs, design process length, augmentation, experimentation, duplication, support, production, and making proper systems revisions. The aerospace industry can also improve its production processes with the help of AI advancements. It has been predicted that over the next 15 years, AI will likely have several aerospace industry advancements.
Here are some applications innovating how the aerospace industry works using AI technology.
Designers may use AI technology to produce new lightweight and cost-effective goods. AI algorithms can help build economic and robust airplane parts in conjunction with the generative structures by the automakers. AI has advanced design programming that may help product designers examine several design options quickly.
The AI-powered dynamic design combined with 3D printing will help design the propellers and wings of the aircraft. In this way, AI may help aerospace industries optimize their architecture and manufacturing processes.
One of the crucial things in the aerospace industry is fuel quality. It has been studied that AI technology can reduce fuel usage by 5 to 7%. Even a minor reduction in aircraft fuel usage can significantly influence the company’s bottom line and sustainability. Aerospace companies use AI technology to improve fuel efficiency and optimize fuel consumption during the most taxing parts of the flights by using recorded data. It can even build custom profiles based on aircraft, weather, location, and pilots.
Effective supply chain management
The aerospace industry is becoming progressively streamlined as AI technology is incorporated into the distribution network. It helps maintain equipment and do routine repairs that enhance supply chain competence. It saves money, reduces downtime, and profits do it without any manual support. AI helps in knowing ahead of time when to perform the repairs improving the supply chain management with automated data collecting.
Training and practices
AI simulations are employed in collaboration with interactive virtual frameworks to provide pilots with a more comprehensive simulation environment. AI is also used in flight training. AI-enabled simulators are also helpful in gathering and evaluating educational data, like biometrics, to create tailored training patterns according to the student’s academic achievement.
Improved customer experience
When it comes to commercial aviation, customer satisfaction and service quality are crucial. With the help of AI, airlines can boost consumer engagement and provide outstanding customer service. AI-powered chatbots can answer customer questions in a human-like manner on a real-time basis.
Air traffic control
Air traffic control is considered one of the airports’ most essential responsibilities. Without a doubt, air traffic control can be highly complex, with billions of passengers choosing to travel by airplane. Hence, incorporating AI into air traffic management is a viable option. AI-powered smart assistants may help pilots with the weather data supporting them while on the flight.
AI can be used to detect and categorize threats and dangers with the use of its computer vision systems, advanced analytics, and geospatial signal processing. AI systems can also be trained for this purpose with the help of various videos acquired from aerial vehicles and satellites.
Identification of passenger
AI can help provide efficient measures to ensure passenger safety, especially in commercial airlines with significant priority on security. AI-enabled cameras can be used at airports for facial recognition to identify questionable individuals.
AI-powered smart cameras can be used to identify criminal behavior in an airport. AI systems can be trained by providing images of persons having criminal backgrounds.
AI was used earlier to discover the latest trends and abnormalities in large volumes of data down converted from planes and engines, limiting artificial intelligence to the ground. However, in recent times, the application of AI technology has been rapidly growing in all domains. Artificial Intelligence is becoming a powerful tool used by several companies in almost all industries, including technical and complicated ones like aerospace and defense.
It is helping through machine learning for automatic detect-and-avoid technologies and interpreting airport signage during unmanned taxiing to voice recognition for computerization air traffic management and techniques for executing combat tactics.