Technology Big Data Solutions for Aeronautics : value, issues and solution. Business Models. Usage

Transcription

1 Technology Big Data Solutions for Aeronautics : value, issues and solution Business Models Usage

2 Content 1. Big Data services for aerospace 2. Altran approach: VueForge TM 3. VueForge TM for Automotive Demonstrator 2

3 Aerospace market needs in terms of services Market insights 1 1 Maintenance Cost Optimization Minimize aircrag down1me and repair & spares parts costs 1 2 Fuel Cost Optimization Op1mize fuel costs by understanding the variables and condi1ons which lead to increased fuel consump1on and higher costs. 1 3 Fleet management Air traffic demand is expected to triple over the next 20 years, with passenger aircrag and fleets doubling during that 1me to offer best services to operators 1 4 Flight Risk Management Op1mizes flight risks and fleet produc1vity with flight tracking and data analysis 1 5 Aircraft Flight Optimization Op1mizes flight profiles using real- 1me data and analy1cs 1 6 Aircra' service lifecycle management is a $109 billion industry Source: 2013 SAP 3

4 Aerospace services will use Big Data Market insights With the rise of sophis<cated sensors and new instrumented devices, billions of data points are now collected from the moment an aircrag enters service, con1nuing through its eventual re1rement. Companies must accelerate their transforma<on to become more compe11ve, create dis1nc1ve new services and have a flexible infrastructure that can accommodate growth Data and analy<cs are being used to rethink how aircra' is built from the electronics systems, instrumenta1on and its physical structure; how to more efficiently manage aircrag opera1ons and more. Advanced analy<cs can help airlines increase sales and customer loyalty, even improve fuel management and efficiency. Today s aircra' are increasingly instrumented and intelligent machines, filled with networks of sensors, monitors and actuators that create, store and communicate data. That data can be used to enhance services up and down the value chain mining insights, expedi1ng decision making, or providing feedback for new product and service design. An airplane can generate terabytes of data on a single flight. Today only 10% of data are analysed 4

5 Big Data services for Aerospace Market insights Aerospace products are among the most complex, instrumented products on earth. Source: HP

6 Big Data services for Aerospace Technology focus Aircraft Value Chain data flow Alongside the Aircraft value chain an important amount of data circulates. This has an impact on the way the data can be used to generate services & business OPERATION MAINTENANCE AGermarket Services MANUFACTURING Streamlined opera1ons Improved product quality R&D DEVELOPMENT Design decision- making Improved program management

7 Content 1. Big Data services for aerospace 2. Altran approach: VueForge TM 3. VueForge TM for Automotive Demonstrator 7

8 Machine-driven Big Data: what is it? Sensors Business Machines Data Analy<cs Users Actuators 8

9 (really) BIG Data 100 GB per day for 270 millions users 588 GB per day for one turbine 9

10 Health Monitoring at aircra) or sub- system (engine) level Connec<ng Machines 10 Integrate and implement the technologies to connect machines and devices, sense and harvest the data incl. local processing and regulation management

11 In- air or on- ground Aircra0 connec1vity with related costs (media, patents ) & Security (end- to- end) issues Transport Network Provide the adapted network technologies needed to take advantage of the device/machine mesh and send data to an infrastructure, possibly Cloud-based 11

12 Data to build predic1ve models to system failure Industrial Cloud, Analy<cs & Intelligence 12 Turnkey analytics and Business Intelligence solutions, including self service analytics and ubiquitous access, built on public, private or hybrid infrastructure

13 & decision- making in support of predic1ve maintenance Product & Service Innova<on 13 Create and enhance services with the connected machine address technology and usage thanks to ideation & rapidprototyping technologies

14 maintenance & reduced OI Business Model & Ecosystem Create innovative business models for the new / enhanced services and ecosystem setup (incl. players from other industries) 14

15 Key Challenges for Addressing Machine-driven Big Data Complexity Heterogeneous environments Technologies Ecosystem Pace of Change New Entrants/Business Models New Lifecycles Consumer Impact Security & Safety Regula1ons & Standards Safety Constraints Cyber- Security 15

16 Market Need for a Global Integrator Need for a Global Integrator able to connect the Embedded and the IT world, understands the industry constraints and regulations, with crossindustry experience 16

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18 VueForge TM Creating Value from Machine-driven Big Data 1 Complete end-to-end approach Security addressing technology, usage and profitability 18

19 VueForge TM Content 19 Exper<se Connec1vity, Embedded Systems, Safety & Security, Informa1on Technologies & Big data, Analy1cs, Innova1on Management Accelerators VueForge TM Sense VueForge TM Play VueForge TM Think VueForge TM Innovate VueForge for X Partners Embedded Technologies Cloud Analy1cs Reference Architecture (Common technologies, Analysis criteria, Applica1on paderns)

20 Content 1. Big Data services for aerospace 2. Altran approach: VueForge TM 3. VueForge TM for Automotive Demonstrator 20

21 Cloud Devices CAN Bus MicrosoG Azure MicrosoG ISS Smartphone Tablet Automo1ve In- car adapted + 500,000 A real- car Head unit hardware from Intel Infotainment plahorm developed by Intelligent Systems / Altran Cars simulated in the Cloud Synthe1c Environment developed by Intelligent Systems / Altran based on MicrosoG s Orleans 21

22 Cloud + Machine- driven Big Data What value can it bring to Car Manufacturers and to end- users? 22

23 Summary BIG DATA VueForge TM Value Users Engineering Expertise In-house Accelerators Business Partners & Ecosystem 23

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