Industrial Internet @GE - Cambridge Service Alliance · Jeff Immelt, GE Chairman & CEO The real...

Dr. Stefan Bungart

Industrial Internet @GE

2 GESoftware.com | @GESoftware | #IndustrialInternet

Jeff Immelt, GE Chairman & CEO

The real opportunity for change… surpassing the magnitude of the consumer Internet… is the Industrial Internet, an open, global network that connects people, data, and machines.

The vision is clear

“ “


A living network of machines, data, and people

Forces shaping the Industrial Internet

Internet of things 1

Increasing system intelligence through embedded software

Transforming massive volumes of information into intelligence

4 Analytics

Generating data-driven insights and enhancing asset performance

Intelligent machines 2 3 Big Data


Picture Here

The ability to model and understand the physical world makes it easier to optimize assets and processes

Data and the insights it provides will enable new customer services and business models

Increased visibility and control help address environmental, health, and human safety issues

Efficiency and cost savings

New customer services Risk avoidance

Industrial Internet: business value


GESoftware.com | @GESoftware | #IndustrialInternet 5 GE Confidential GESoftware.com | @GESoftware | #IndustrialInternet

The value to customers is huge Connected machines could eliminate up to $150 billion in waste across industries

Segment Type of savings

Estimated value over 15 years

(Billion nominal US dollars)

$30B

$27B

$90B

Commercial

Freight

1% fuel savings

Exploration and development

1% reduction in system inefficiency

1% reduction in capital expenditures

Note: Illustrative examples based on potential one percent savings applied across specific global industry sectors. Source: GE estimates

Industry

$63B System-wide 1% reduction in system inefficiency

$66B Gas-fired generation 1% fuel savings

Aviation

Power

Rail

Healthcare

Oil and Gas


Max. twitter usage in 2013 (ca. 500 Mio. tweets/day)

130 GB/Day*

Monitoring a gas turbine (200+ sensors)

588 GB/Day

Big Data More Information - More Innovation

1 1 1 0 1 0 1 1 0 0 1 0 1 1 1 1

Key: Generating actionable insight from „Big Data“ securely in real-time at every level from local to global and at industrial scale

* Quelle: wewillraakyou.com / average 280 byte/tweet (140 letters at 2 byte)


Cloud Agnostic Cloud Everything

in-between Micro

Analytic requirements of industrial companies

FREQUENCY OF ANALYTIC

Minutes+

Seconds

Milliseconds

1,000,000’s +

Enterprise data +

Exogenous data

1,000’s

100’s

LOCATION OF ANALYTIC Wind Mining Aviation Rail

Machine Turbine Grinding circuit Engine

Plant Wind farm Mine site Aircraft Locomotive

Enterprise Distribution center Mining company Airline Railroad

INDUSTRIAL DATA Asset & process

Interaction

Orchestration

Analytics

Data collection and aggregation

Control systems

Machine Cloud

Decision support

Modular and extensible

ENTERPRISE DATA

Supply chain, finance, etc.

EXOGENOUS DATA

Market, weather, etc.


Industrial Big Data – fast and vast

*Source: IDC

50B Machines will be connected on the internet by 2020

2X Industrial data growth within next 10 years

*Source: IDC

CRM, ERP, etc. Logs

Social network

data Geo-location

data

In practice only

3% of potentially useful

data is tagged and even less is analyzed*

9MM Data points

per hour for each locomotive

500GB Data per blade

by gas turbines

Sensor data

Content (images, videos, manuals, etc.)

Historian data

Machine data

35GB Data per day

from each Smart Meter

50X Data growth in healthcare (2012 – 2020)

1TB Data per

flight


80% of an analytics project typically involves gathering and then preparing the data for analysis*

Today’s approaches are not prepared for onslaught of Industrial Big Data

*Source: IDC

Too slow

Too rigid

Too expensive


Data governance

Analytics and operations

Data collection

Data ingestion

New way Current situation

Data loading

Add semantic metadata

Replica of source data

A day in the life – data management

Agility Data

scientist

Rigid

Field operations

Business analyst

INDUSTRIAL DATA LAKE

Agile

Data scientist

Field operations

Business analyst

Cost

Data collection

Data ingestion

Data governance


Cost

CRM, ERP, etc.

Logs Geo-location data

Social network data

INDUSTRIAL DATA LAKE

Real-time ingestion

Replica of source data

Add semantic metadata

Data collection

Data ingestion

Data governance


Time

Time to analyze

Data scientist

Field operations

Business analyst

Data scientist

Field operations

Business analyst

CRM, ERP, etc.

Logs, click

streams

Geo- location

data

Social network

data

Sensor data


Machine data

Historian data


Industrial Data Lake

Data scientist Business

analyst

Data governance and federation

Fast ingestion, storage and

compute

High performance

analysis

Optimized for mission-critical

workloads

Field operations

Industrial Data Lake

Sensor data


Historian data

Machine data

CRM, ERP, etc. Logs

Social network data

Geo-location data


Case study – GE Aviation Asset productivity, minimize disruptions, improved forecasting

25 Airlines

3.4M Flights

340TB Data

10X Cost reduction

7 days Time-to-market for new analytic app

2000X Performance improvement

ü  Isolate root causes ü  Identify sub-optimal

performance parts

ü  Minimize disruptions


Many industries, many solutions – one platform

GE Aviation

GE Healthcare

GE Manufacturing

GE Rail

GE Water

GE Oil & Gas

GE Power

Generation

GE Mining

GE Power

Distribution

GE Wind

Solutions for industrial asset and operation optimization

Predictivity™

GE Predictivity™ solutions Predix™ platform

Common architecture for machine, network, server and UX


GE Predictivity™ solutions

GE Aviation Fuel performance, risk insight, navigation insight and fight synchronization

GE Healthcare Asset management, patient safety, patience flow, collaboration across networks

GE Oil & Gas Total equipment reliability, sub-sea inspection system optimization, field production and pipeline insights

GE Manufacturing Manufacturing process, food safety assurance

GE Mining Concentrator insights and efficiency – maximum mine production

GE Power Distribution Grid delivery optimization – advanced meter insights

GE Power Generation Turbine power flexibility and performance, maximizing asset lifetime

GE Wind Wind turbine performance, total wind farm output maximized

GE Water Connected controls for plant operations to increase efficiencies and reliability

GE Rail Locomotive Uptime, trip insights, maintenance and parts management

Predictivity™


Shared capabilities portfolio Services

Commercial strategy

Cyber Security Cloud

Services

Development Advanced Research

Data Science Architecture

User Experience

Developing and deploying scalable

predictive solutions to enable Industrial Internet

programs

Defining new business and

delivery models for software and

services

Developing applications and solutions around

asset optimization and operations

optimization

Transforming raw data into insights and

opportunities, through descriptive, predictive,

and prescriptive analytics

Optimizing the software portfolio

to maximize market success

Focusing on security management

strategies to prevent, detect, and fix risks to

GE’s data, assets, and intellectual

property

Providing a unified, service-based solution on a

protected, fully-automated network

Driving revenue and growth by increasing adoption and demand


GE Software’s evolving ecosystem

Guiding principles •  Develop distinctive technologies •  Pursue new markets •  Work with the best •  Share risk and reward

Ecosystem

GE is a founding member of the IIC

We collaborate to extend the reach of our Industrial Internet solutions


Connect with us

GESoftware.com

@GESoftware

linkedin.com/ company/ge-software

youtube.com/gesoftware

THANK YOU


Taleris Objectives •  Help airlines maximize aircraft utilization •  Minimize the impact of maintenance •  Go from diagnostics to root cause analysis

Results •  Advanced prognostic algorithm allows

airlines to detect issues before they cause downtime/expense

•  Monitors 10,000 independent parameters, transmits wirelessly

•  Integrates with airline’s enterprise systems •  Platform-agnostic solution can be installed

on any make/model, providing continuity among entire fleet

Example Use Case

Asset Management + Analytics + Experience

GE Confidential


Field force automation

Predix FFI application examples •  Locate, monitor, configure, maintain and

assess machine data (on site or off site) •  Get machine info: warranty, operational

status, history, manuals •  Facilitate collaboration among support

personnel •  Manage work preparation, crew mark-up

and material allocation •  Create/collect work orders from ERP

(Enterprise Resource Planning), OMS (Operations Management Software) and CIS (Customer Information Systems)

Right field worker. Right skills/parts.

Right location. Right time.

Example Use Case

Machine +

Experience

GE Confidential


Rail optimization

The GE RailConnect Transportation Management System and Movement Planner System help railroads analyze critical information in real time. Customer estimate: every 1-mph increase in rail network speed saves $200M in annual capital and operating expenses

Example Use Case

Asset Management + Analytics + Experience

GE Confidential


Power Grid – Digital Energy The Digital Industries team marshaled new technologies to enhance the operator effectiveness in running a state-of–the-art combined cycle plant. This gives engineers a visual overview of the power grid so they can identify where problems are most likely to occur and take action to prevent them, compiling the latest UX research from Power, Aviation, and Consumer Electronics.

Experience

Example Use Case

GE Confidential

Date post:	23-Jun-2018
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Industrial Internet @GE - Cambridge Service Alliance · Jeff Immelt, GE Chairman & CEO The real...

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