下载PDF
AIRBUS Improves Ring Flight Testing Efficiency with ODH
技术
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 航天
适用功能
- 产品研发
服务
- 数据科学服务
挑战
The AIRBUS flight test program is a key component of aircraft development. Every part in every possible configuration must be tested in as many scenarios as possible. This creates multiple types of data, all in different silos — plane configuration criteria, flight data criteria, flight event behaviors, crew reports, and other unstructured content criteria. Historically, each test flight required manual research into previous tests to create a set of specific requests, and the effort to leverage data to optimize those new flight tests was considerable. While a lot of data was generated during testing, AIRBUS’ process to search within the data in order to simply retrieve a specific condition and its result was a slow, manual one. And, flight test environments are constantly changing, with a series of maneuvers done at specific locations, which meant that traditional data approaches couldn’t keep up with this complex data challenge.
关于客户
AIRBUS is a European multinational aerospace corporation. As one of the world's leading aerospace and defense companies, it operates through three divisions: Commercial Aircraft, Defense and Space, and Helicopters. The company produces and markets the first commercially viable digital fly-by-wire airliner, the Airbus A320, and the world's largest passenger airliner, the A380. The company has primary manufacturing facilities in France, Germany, Spain, China, the United Kingdom, and the United States. The company relies heavily on flight testing for aircraft development, creating a vast amount of diverse data that needs to be managed and analyzed efficiently.
解决方案
AIRBUS needed to integrate all the test data from the multiple data sources to enable them to find a historical test that matched the exact parameters needed to support the specific parts and components they were testing. They then needed to be able to quickly search through existing flight data to see if a certain flight test had already been completed to reduce duplicating tests and speed the development of new tests. With MarkLogic’s Operational Data Hub (ODH), they were able to integrate the diverse data, map those data points to the aircraft parts and components of each tested aircraft, and then search across that data to find test data with precise queries, including specific conditions, locations, components and temporal patterns in sensor data.
运营影响
数量效益
相关案例.
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.
