Data

Data

A way to drive performance

With the increasing digitization of working methods and tools, the aerospace and defense sectors can tap into a wealth of data arising principally from its production infrastructure and from sensors built into its products. The mass data analysis (Big Data) enables the optimization of product use, improving the quality and relevance of the services offered. It is therefore vital to implement a strategy of differentiation by creating cutting-edge services that will enable airlines to improve all facets of their operations. As part of its business, Safran Analytics is working closely with the Group's companies, with three orientations:

  • The Data Servicesprogram: to optimize service contracts and reduce risks by using the data.
  • The Data Manufacturing program: to solve manufacturing problems.
  • Finally, the Safran Analytics teams are also working on the provision of tools and services (platform, training, customized support, products and services based on data use) for all Safran employees.

Safran Analytics

Création : January 2015
Role: Anchoring data as a growth driver for Safran
Activities: Coordinating all Group activity in the area of Big Data and participating in using the data as a new way to drive performance.
Key figures: 1 collaborative platform based at the Safran Paris-Saclay site, a multi-disciplinary team with 60 staff, 15 products and services, 40 projects underway !

Using Big Data to accelerate the LEAP engine ramp-up

The composite industrial center of excellence has systematized the collection of production data on the LEAP blades and composite casings for the LEAP engine. Each new machine is connected to the plants' databases for a real-time feed of product features (e.g. geometrical data) and parameters related to the manufacturing process (e.g. machine configuration). There are thousands of these data points for each blade and casing, which means deploying specific methods of analysis to exploit this "big data". Our data scientist teams are working with our research and methods departments to enhance the data by exploring each stage of the production process in depth and in quantitative terms - particularly via machine learning algorithms - in order to optimize it and create an exact digital model of the process.

Connected resources

Wireless smart objects are connected to the Internet and bring additional value in terms of functionality, information, interaction with the environment and use. These objects will communicate with other connected systems (such as computers, tablets, smartphones, sensors, and networks) in order to obtain or provide information. This has been made possible through the widespread miniaturization of the electronic components.

For example, at Safran Aircraft Engines, the remote collaborative work is made easier through the use of connected glasses.

These devices allow someone located at an industrial site to communicate with an expert located at another Safran site or with a supplier. The person in the field wears a pair of glasses equipped with a front camera and superimposed visual feedback. They also have a phone that connects to the glasses via Wi-fi in order to send audio and video streams. This very light-weight equipment allows you to work normally, interact with the expert and visualize the information sent by the expert in a heads-up overlay (image, plan, text, etc.). The expert is equipped with a PC and a headset, to display what the worker sees and interact with them, in order to guide them and send the instructions they need to perform their task. This system can be used for technical interactions, training and remote maintenance between our sites around the world.