Download PDF
Airbus Innovates with Azure Cognitive Services for Enhanced Pilot Training and Aircraft Maintenance
Technology Category
- Infrastructure as a Service (IaaS) - Public Cloud
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Aerospace
- Education
Applicable Functions
- Maintenance
- Product Research & Development
Use Cases
- Chatbots
- Virtual Training
Services
- Cloud Planning, Design & Implementation Services
- Training
The Challenge
Airbus, a leading producer of aircraft and helicopters, was facing challenges in meeting the needs of its aerospace and defense customers due to complex and cutting-edge solutions. The company had to comply with highly restrictive regulations that precluded the use of public clouds, especially for its military and government sector customers. Additionally, many countries have strict data nationalization rules that also required a non-public option. Another challenge was the increasing complexity of aircraft, which escalated the volume of pilot training material to more than 6,000 pages of technical information. Pilots had to master all this during intensive multiple-week courses and recall it accurately for as long as they were certified for that aircraft.
About The Customer
Airbus is a pioneer in the aerospace industry with over 50 years of innovation. The company is a leading producer of aircraft and helicopters for both commercial and military customers, plus launch vehicles and satellites. It also delivers navigation, secure communication, data services, and other solutions to its global customers. Airbus is known for pushing technical boundaries to help make a better-connected, safer, and more prosperous world. The company is based in Germany and is a corporate-sized organization with over 10,000 employees.
The Solution
Airbus turned to Microsoft Azure technologies, particularly Azure Cognitive Services, to build its restricted cloud while maintaining compliance with data sovereignty regulations. To address the challenge of pilot training, Airbus created a pilot training chatbot that supports trainee pilots to self-guide through the material. The chatbot was deployed as a mobile website, accessible on mobile devices for fast answers to spoken questions. For military aircraft, Airbus deployed speech containers via Cognitive Services on its own Kubernetes cluster, part of its restricted cloud. To manage the complexity of military aircraft flight operations, Airbus deployed Anomaly Detector, part of Cognitive Services, to gather and analyze telemetry data. The company also plans to use translation APIs in Cognitive Services to overcome language barriers between countries using Airbus systems.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
Airbus Soars with Wearable Technology
Building an Airbus aircraft involves complex manufacturing processes consisting of thousands of moving parts. Speed and accuracy are critical to business and competitive advantage. Improvements in both would have high impact on Airbus’ bottom line. Airbus wanted to help operators reduce the complexity of assembling cabin seats and decrease the time required to complete this task.
Case Study
Aircraft Predictive Maintenance and Workflow Optimization
First, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.
Case Study
Aerospace & Defense Case Study Airbus
For the development of its new wide-body aircraft, Airbus needed to ensure quality and consistency across all internal and external stakeholders. Airbus had many challenges including a very aggressive development schedule and the need to ramp up production quickly to satisfy their delivery commitments. The lack of communication extended design time and introduced errors that drove up costs.
Case Study
Developing Smart Tools for the Airbus Factory
Manufacturing and assembly of aircraft, which involves tens of thousands of steps that must be followed by the operators, and a single mistake in the process could cost hundreds of thousands of dollars to fix, makes the room for error very small.
Case Study
Accelerate Production for Spirit AeroSystems
The manufacture and assembly of massive fuselage assemblies and other large structures generates a river of data. In fact, the bill of materials for a single fuselage alone can be millions of rows of data. In-house production processes and testing, as well as other manufacturers and customers created data flows that overwhelmed previous processes and information systems. Spirit’s customer base had grown substantially since their 2005 divestiture from Boeing, resulting in a $41 billion backlog of orders to fill. To address this backlog, meet increased customer demands and minimize additional capital investment, the company needed a way to improve throughput in the existing operational footprint. Spirit had a requirement from customers to increase fuselage production by 30%. To accomplish this goal, Spirit needed real-time information on its value chain and workflow. However, the two terabytes of data being pulled from their SAP ECC was unmanageable and overloaded their business warehouse. It had become time-consuming and difficult to pull aggregate data, disaggregate it for the needed information and then reassemble to create a report. During the 6-8 hours it took to build a report, another work shift (they run three per day) would have already taken place, thus the report content was out-of-date before it was ever delivered. As a result, supervisors often had to rely on manual efforts to provide charts, reports and analysis.