The aerospace industry is continually looking for effective ways to accelerate performance. AI can be the perfect solution for the industry to meet the growing demands and deliver high-quality service.
FREMONT, CA: The aviation industry has never shied away from technological innovations. Rising passenger traffic, accelerated equipment recycles, and the increase in defense spending are all factors setting the aerospace industry on pace for record-making levels of next-generation aircraft. Among all technologies influencing the aerospace industry, Artificial Intelligence (AI) has a significant role in shaping the industry. According to a recent report, 80 percent of leading executives within the aerospace industry expect that every part of their workforce will be directly affected by AI-based decisions by 2021. This indicates the immense impacts AI can have on the aerospace industry. From smart maintenance to training and more, here are ways in which AI could transform the aerospace industry.
• Aircraft Maintenance
Maintaining aircraft is essential to ensuring safety. Since aircraft maintenance is performed based on schedule, the process can be cumbersome and time-consuming. Malfunctions or unexpected errors can result in unnecessary downtime and the inefficient use of expensive engineering labor. As a critical way to drive efficiency, it is unsurprising that aviation companies are increasingly looking into predictive maintenance, enabled by AI. AI sifts through maintenance data, collecting and interpreting information from sensors and reports. This allows algorithms to identify and report potential failures in real-time and predict apt repair timelines, creating smarter maintenance schedules. Several leaders in the aerospace industry are already looking to adopt intelligent maintenance solutions to predict variations in manufacturing processes based on the data.
• Fuel Efficiency
Increasing fuel efficiency is one of the key priorities for the aerospace industry. Given that, even small improvements in aircraft fuel consumption can have a significant impact on emissions and the company’s bottom line. In this area, AI-powered systems are helping optimize fuel consumption. AI solution providers for the aerospace industry have already developed a machine learning tool that can optimize climb profiles before each flight. Since aircraft have higher fuel consumption during the climb phase, optimizing this phase can result in significant fuel savings.
• Training and Optimizing Flight Paths
AI can be used to improve pilot training. AI simulators integrated with virtual reality systems can provide pilots with more realistic training experience. AI-powered simulators can also be used to collect and analyze training data, including biometric, to create customized training patterns based on the performance of each trainee. AI can also assist pilots during flights. AI-powered solutions inside a cockpit can help optimize flight paths in real-time by evaluating and giving alerts on fuel level, system status, weather conditions, and other critical parameters. Soon, aircraft will be equipped with smart cameras powered by AI algorithms, expanding the visual fields of pilots, and thus supporting the pilot's performance.
• Innovative Product Design
Innovative product design has always been sought after in the aerospace industry. AI opens new doors for designing novel products, and generative design is an excellent example of it. Based on AI algorithms, generative design software encompasses a set of tools and techniques to create sophisticated designs. Generative design software allows engineers and product designers to explore multiple designs in less time to find the best. This approach is essential in developing new products that integrate more functionality, making aircraft lighter and more sustainable.
Security is among the highest priorities of the aerospace industry, and AI can offer practical solutions to ensure safety. AI can be used to identify and categorize threats and risks with the help of machine vision, machine learning, and geospatial processing. For this, AI models can be trained using images and videos obtained from several vehicles and satellites. Using the data gathered from the videos and pictures, AI can identify threats. Such AI-based applications can be used for commercial, civil and military aviation purposes. AI-enabled smart cameras can use facial recognition to identify passengers, and also be used to detect malpractices in an airport.
• Customer Service
Customer satisfaction and loyalty are particularly crucial within the aerospace industry, especially in commercial aviation. AI can be one of the ways for airlines to enhance customer experience and provide better customer service. There are several ways to apply AI to provide better customer service, and chatbots are one obvious example. Chatbots are AI-based digital tools that can answer customer queries in a real-time and human-like manner. Chatbots can save time and effort by automating the customer support process. With more data comes more opportunities, and chatbot brings more data. These data can be used to tailor travel experience according to individual preferences and give customized recommendations and ticket pricing. Forward-thinking aviation firms are already making moves towards this innovative trend.
While there are many opportunities for AI within aerospace, the technology is still very much in its infancy. And the industry is in need of deploying new, more efficient AI solutions that can help in better performance. The current pace of development points to the fact that AI can be a disruptive force positively affecting the productivity, efficiency, speed, and development of the aerospace industry.