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CyberPhysical Systems Era - From Advanced Technologies to New Alliances and Business Models Dr Robert Plana Innovation and Ecosystem Director GE Digital

CyberPhysical Systems Era - From Advanced Technologies to … · APM/Meridium Applications Index cture Catalogs (Data, Kernel, Model) HPC Computation. Steam Turbine Rotor Crack Prediction

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CyberPhysical Systems Era - From Advanced Technologies to New Alliances and Business Models

Dr Robert PlanaInnovation and Ecosystem DirectorGE Digital

For Internal Use Only – GE Confidential

GE Digital

Maximize performance and asset availability

Increase system efficiency across

operations

Optimize lifecycle of design, manufacturing, service & repair cycles

Digital Heritage Management

How to (re)boost the industry ?

GE Digital 3

Courtesy of Prof M.TENTZERIS, Gatech

Micro and Nano Sensors

@Mnemonics, inc.

Airbus is piloting the use of a 2-arm humanoid robot at the

Puerto Real plant in Cádiz. Additive Manufacturing

Science and Technology enablers (1)

GE Digital 4

Node specific operating Systems

System architecture

Algorithms

Advanced middleware

Security

Science and Technology enablers (2)

Science and Technology enablers (3)

Industrial Data Management

Secure Connected Devices

Industrial Data Science

Industrial Internet Mobile and Cloud

Sensing, storing, analyzing and transmitting data is becoming cheap & easy

Issues:

Heterogeneous data

Digital Noise

Knowledge fragmentation and loss

High Performance Computing

Solution:

12 June 2017 4

Industrial Internet features

• Convergence between Hardware and Software

• Interoperability

• Scalability

• End to end capabilities

Data Infrastructure

Cloud Foundry

Assets Analytics Data Security Operations

There is a need for an Industrial Internet platform

Ecosystem : A balance between competitionand collaboration

• Fact 1 : better serve the customers

• Fact 2 : Transforming the industry is very diverse

• Fact 3 : Innovation is key and most of the time outside

• Fact 4 : speed and agility is brought by startups

• Fact 5 : sustainability and security is key

June 27, 2017Presentation Title 9

Edge computing

Digital Twin

Cloud computing

Industrial Internet Ecosystem priorities

GE Digital

Bosch & GE Digital partnership

Bosch Software Innovations GmbH | INST-MKC4 | 6/6/2017

© Bosch Software Innovations GmbH 2017. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution as well as in the event of applications for industrial property rights.3

Connectivity Stack

Production Performance Manager

SensorPackAmbient

Conditions

Autonomous secure connectivity

SensorPackHydraulicsOR

GE Predix OfferingBosch Offering

PredixTimeSeries

PredixAnalytics

PredixAsset

PPM Connector

IoT Gateway

SuitCase OR Cabinet Housing

An Industrial Ecosystem to Solve Complex Issues

Confidential11

Internet of Escalators& elevators

Downtime: 90%

OPEX: 50%

12 June 2017 14

Other examples of Innovative Partnerships

• Blockchain • 5G/LoRa/NBIoT

Digital Industry ChallengesBuild advanced data apps to solve industrial challenges with GE

13

Co-development phaseNUMA/GE Digital/GE BUs/Start Ups

Acceleration phaseGE Digital/GE BUs/Start Ups

Sept 2016 – Dec 2016 Jan 2017– Apr 2017

Challenges DefinitionNUMA / GE Digital / GE BUs

Jun 2016 – Sept 2016

Demo Day

1. Local Energy Forecasting

2. Blockchain energy transaction

3. Indoor Location Analytics

4. Hydropower Production Optimization

(pivoted to logistic/supply chain)

5. Massive Time-Series Management

55 Applications

5 Winners

5 Challenges

30th of May

Why Digital Twin is important ?

Transfer Function

State variable

False Alarm

Real Alarm

Physics

Data

AI

In Vivo Model

Digital Twin Factory

1527 June 2017BASF Construction Lifecycle |

Predix Platform

Act

Unified Data Access

AssetModel

Expert Community

Build

Learn

Services Orchestration

Run

Digital Thread & Manufacturing Apps

Digital Twin Applications through

startups

APM/MeridiumApplications

Index

Catalogs (Data, Kernel, Model)Un

ifie

d S

ecu

rity

Arc

hit

ectu

re

HPC

Computation

Steam Turbine Rotor Crack Prediction

Data Preprocessing Learn from Physics Learn from Similar Assets APM - Maintenance Planning

• Use Physics Knowledge• Asset Specific Probabilistic Learning and Calibration• Predictability through Similarity Learning• Continuous Model Learning with new Inspection Data• Deploy to APM for Maintenance Planning

Physics-Kernels & Learning for Rapid Digital Twin Model Development

Digital Twin Workbench

12 June 2017 11

A flexible and Innovative Business Model

June 27, 2017 19

SALESIndustry Specific Apps

Industry frameworks

Horizontal Application Suites

Predix platform and services

Unified Ops

powergenEconomic Optimizer

APP

Oil and gas digital framework

Aviation digital framework

P & W digital framework

More

Machine and equipment health

Cyber security

Connectivity

ModuleReliability mgmt

Maintenance optimization

ModuleModule Module

MobilityData

mgmtUX widgets,

cards & viewsBiz ops

Dev ops

ALMAsset performance Ops optimization