The use of AI in the aerospace sector allows businesses to streamline the production of various components and reduce safety issues. AI is also capable of evaluating feedback from multiple sources and process large volumes of data in a short period.
FREMONT, CA: Labor costs, human errors, and health and safety concerns are just some of the challenges that the aerospace industry faces today. Ensuring smooth functioning in the industry becomes even more difficult given the highly time-consuming manufacturing and development procedures. Artificial Intelligence (AI) has proved to be extremely useful across sectors like finance, advertising, retail, and healthcare. Off late, the aerospace industry has also benefitted by the AI-enabled services in overcoming the challenges it faces.
According to reports, 80 percent of top-level executives within the aerospace and defense industry believe that every aspect of the workforce will be AI-influenced by 2021. The use of AI in aerospace allows businesses to streamline the production of various components and reduce safety issues. AI is also capable of evaluating feedback from multiple sources and process large volumes of data in a very short period.
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Here are eight benefits of using AI in the Aerospace and Defense Industry
Product Design
Across the aerospace industry, lightweight and durable components are preferred for the manufacturing of the aircrafts. Manufacturers have begun using generative designs combined with AI algorithms. This allows them to explore multiple options without wasting much time. AI-enabled generative designs combined with 3D printing can also be used to produce various components. Implementing these techniques can help streamline design and manufacturing procedures.
Improving Fuel Efficiency
Billions of gallons of fuel are consumed every year by airlines globally. The fuel consumption by commercial airlines is expected to reach 97 billion gallons in 2019 alone. With carbon footprint reduction becoming an essential agenda for most companies, fuel consumption rates have become a significant concern for all airlines.
An airplane consumes maximum fuel during the climb phase of its journey. By using AI, it is possible to analyze the amount of fuel consumed by different aircrafts and different pilots during the climb phase. Based on this data, profiles can be prepared for each pilot, which can help airlines to implement appropriate strategies to manage fuel consumption rates efficiently.
Improving Maintenance and Operational Efficiency
Speed, air pressure, and altitude are all monitored using multiple sensors in an aircraft. These sensors also record crucial data such as temperature, moisture, and pressure in different parts of the plane. Using AI, it is possible to collect and analyze these data within no time. It can also notify pilots about any abnormalities in the functioning and suggest the most suitable ways to fix it. AI algorithms also help in preparing a proper maintenance schedule which can help avert major crises. It helps manufacturers improve their operational efficiency by identifying real-time problems and preventing significant losses.
Improving Pilot Training
Using a combination of Virtual Reality and AI, it is possible to develop simulated training programs for pilots. AI simulators are capable of generating realistic simulations of flying experiences. AI algorithms accumulate and analyze accurate training data and help identify the strengths and weaknesses of each pilot. This can be used to create personalized training programs as per the requirements of the pilots.
Managing Air Traffic
Air traffic control is one of the core tasks of airports and airline authorities. The large number of passengers that opt for air travel makes the process even more complicated. Intelligent assistants powered by AI can help pilots make informed decisions by suggesting alternate routes to make air travel safer and faster. Use of smart cameras, along with AI algorithms, can help identify aircrafts when they exit/enter the runway. This is helpful, especially during low visibility conditions. Usage of such data can help the traffic controllers maintain a clear runway for the next airplane.
Identifying Threats
AI algorithms can help in identifying and categorizing threats and risks. This is possible with the aid of machine vision, machine learning and geo-spatial signal processing. AI models can be trained using images and videos from previously recorded data. Once trained, these algorithms can identify a threat or a risk in different scenarios. These algorithms are multi-purposeful as they can be used for commercial, civil, and military purposes.
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Identifying Passengers
Security of passengers is of the highest priority for commercial airlines. Effective solutions provided by AI algorithms help ensure the safety of passengers in many situations. AI-enabled smart cameras with facial recognition software can identify people with criminal records and in turn, prevent crimes. These programs are also being used to avoid malicious activity at airports.
Customer Servicing
The use of AI in aerospace industry enhances the customer experience in the commercial airline sector. The use of AI-powered chatbots helps increase customer interactions. Chatbots also enable 24/7 customer service facilities. They are capable of performing a wide array of functions, including assisting customers in booking and cancelation of tickets.
