Smart Cities, Smart Power - iiconsortium.orgSales 40,000 Professionals Traffic & Transport Telco &...

Smart Cities, Smart Power

Stan Schneider

RTI CEO

IIC Vice Chair

©2019 Real-Time Innovations, Inc. Permission to distribute pdf unmodified granted.

RTI lives at the intersection of functional artificial intelligence and pervasive networkingSM

Edge Autonomy IIoT


DeviceMonitoring Edge

Autonomy

Databus

Databus

AnalyticOptimization

44

16%

19%

20%

20%

17%

8%

Indra / Minsait nº1 Spanish IT Company…

+140Countries

+€3,011 M€ (3.43BnUSD)

Sales

40,000Professionals

Traffic & Transport

Telco & Media

Security & Defense

Financial Services

Public Administration

and Health

Sales 2017

Energy & Industry

…and one of the largest in Europe and LatAm, with high growth in Asia Pacific and Africa

The IIoT architecture must span industries

6

Monash University• Australia’s largest University

• 75,000+ students

Clayton Campus, 1.1 km2…so big that it has its own post code Net zero carbon emissions by 2030

135 M AUD of investment 2017-2030

7

Monash MicrogridSmart Energy City Project

8

Smart Energy City Project

2018 - 2020

Centralised control

Distributed control

9

MONASHAdvanced Microgrid solution

Distribution

Grid Domain

National market domain

Microgrid domain RT Power Quality Management :

Quality + reliability

…

Local energy services market

PlanningForecast Scheduling ExecutionEnrolmentAudit &

settlement

Industrial IoT architecture

Edge Dynamic Energy Management.

Microgrid Power Quality Management.

Key features

Microgrid energy and power market.

10

Data flow equirements

Interoperability across several proprietary systems

Data are often both critical and real-time

Avoid bottle necks

Cloud/edge hybrid solution

“Edge” often meant limited processing capacity

Connected systems and components need only to receive and elaborate some of the data

Large volume of real-time data as well as corporate business data (System-of-Systems)

Cybersecurity is an obligation

Quality of Service (QoS) characteristics

Data spaces (domains, partitions and topics) and data structures

IIC Layered Databus Architecture Pattern

11

The Grid needs to evolve to unlock new value of energy services

The systems supporting the operation and corporate processes need to go through a digital transformation in the effort to adapt to functionalities that go from centralized to distributed with an increasing amount of coordination.

The implementation of DISTRIBUTED models through intensive use of edge computing is at its very beginning in the power utility industry. There are plenty of great opportunities.

12

Implementation

Big DataAnalytics

Edge Intelligent

Nodes

RT Unified Data Space

RT Monitoring & Control

Grid Cold PathAnalytics

Primary & Secondary Substations

Demand Management (Home, Building,

Industry)

Distributed generation Storage, EV infrastructure

RT Power AnalyticsEngine

Grid AnalysisOptimizationPower quality

Close loop automation

GridPerformance

AssetPerformance

DMS

AMI

SCADA

Grid Sensors,analyzers,

Fault detectors, etc.

Implements “3 tier” with “layered databus”

Databus in Renewables


RTI runs the largest hydropower plants in North America, soon expanding to 75 dams.

RTI controls Siemens Wind Power’s most advanced wind turbines, thousands deployed worldwide.

RTI is a principal in the leading new grid standard for solar and battery integration.

RTI today controls >24GW of renewable power, displacing 124m metric tons of C02/year


Databus Applications Span the IIoT

What is the Industrial IoT Really About?


Combining technologies from

all industries

To make all industries better

The Architectural Challenge

Create a powerful abstraction to effect integration with minimal extraneous coupling


Put Data in the Center


Application

Application

Message centricClient/ServerRemote ObjectsPublish-subscribeSOA

DDS is the standard that defines a databus

Data-centric technology connects applications to

the data, not to each other

Application

Application

Data

Application

“Data Everywhere” Abstraction Enables Sharing


• Doesn’t actually send all the data…

• Every application gets everything it needs, when it needs it– Applications declare

needs and capabilities– Databus delivers data

• Applications interface only to data– Every app speaks its own

language– Databus maps language,

CPU, OS, transport

• Fast, reliable, scalable

Shared Global Data Space

DDS DataBus

DataTopicTypeQoS

DataTopicTypeQoS

DataTopicTypeQoS

Naturally, massively parallel Like distributed shared memory

Data-Centric Decoupling Separates Applications

• Flow: discovery, flow rates, reliability uncoupled

• Space: services live anywhere

• Time: participants come & go any time


Because the interface is only to the data…applications are decoupled.

And, Since Systems are All About The Data…

• Data-centric sharing lets subystems cooperate

• Decoupling lets them work independently

Resulting in…



DDS DataBus

What is Data Centricity, Really?


All the Data is Right There in Every Device and Algorithm


The essence of data centricity is “instant” access to absolutely anything and everything by every device and every algorithm,

at every level, at any time.

struct StationValues {

unsigned long ID; //@key

unsigned long count;

float Temperature;

};

C++iOS




float Temperature;

};




float Temperature;

};




float Temperature;

};




float Temperature;

};




float Temperature;

};




float Temperature;

};




float Temperature;

};

ARM

CRTOSARM

C++QNXx64

C#Winx86

JavaAndroid

ARM

CLinuxPPC

ADARTOSPPC

C++VxWorks

x86




float Temperature;

};




float Temperature;

};

JavaOS Xx64

C++Linuxx64

And All in Each Application’s Native Format

TCP

TCPUDP

UDP

UDP UDP

UDP UDP??

??


DDS Databus


Distributed Architectures Support Higher Autonomy


Data Centricity enables new architectures that are fast, distributed, and reliable.

Autonomy Requires Subsystems


Cloud Services

Sensing

Planning

Radar, LIDAR Vehicle Platform Navigation

Error Management

Visualization

Situation AnalysisSituation Awareness

Vision FusionCameras, LIDAR,

Radar …

Data Fusion

LoggingVehicle Control

Localization

Databus

Traffic Maps

Databus

IIC Layered Databus Architectural Pattern


In-Car Platform

V2V & V2X

Public Internet

Fleet Management

• End-User Applications• Connect with RESTful/Web Sockets

• Traffic Management• Traffic Light Control• Congestion Management

• Road Management• Environmental & Road Conditions

• Probe Data Collection (Sensors)• Environmental Weather• Dynamic Vehicle Location

• Collision Avoidance• Navigation• Safety Certified

Un

ifie

d D

ata

Mo

del

Think HMI

Sense Act

Machine Databus

Unit Databus

Site Databus

Cloud Databus

Matches architecture: no code!

Important, “bolted on”, not enough

Systems Need Integrated Data Defense

• System edge• Host

– Machine/OS/Applications/Files

• Network transport– Layer 2-3 “pipe” security– Layer 4-5 “session” security


• DDS: Dataflow Security– Control application interaction– Secures the data itself; no API!– Independent of transport, OS, chip

Defense in Depth


Root of Trust Defense

Edge Defense

Network Defense

Host Defense


Securing the system without considering

the application is not a good de-fence

Selection Guide


Simple Diagnostic Questions

http://

Base information source: IIC Industrial Internet Connectivity Framework (IICF)

https://www.iiconsortium.org/IICF.htm

You Need a Databus if You Face These Problems

• Are there severe consequences of failure for a few mins/secs?

• Have you said “millisecond” in the last 2 weeks?

• Do you have more than 10 software engineers?

• Does your data have many destinations?

• Are you building a next-generation IIoT design?


3+ Yes?

©2017 Real-Time Innovations, Inc.

Early Databus IIoT Applications

• Transportation– Carbots– Rail & mass transit– Traffic control (ground & air)– Drones and personal aviation

• Energy– Renewable generation (hydro, wind, solar)– Renewable integration (Substation automation, DER

pilots, microgrids)– Automated drilling & production

• Medical– Intelligent connected medical devices– Surgical robotics– Imaging & treatment systems

• Defense– Avionics & UAS– Naval systems– Radar/antimissile/air defense– Ground vehicles– Asset tracking/C2


RTI & The Industrial IoT


• RTI is the largest IIoT connectivity vendor

• 1300+ designs, many real-world programs across industries

• Full DDS, tools, services, support, secure & certified versions

• ~200 ppl, $40+m

The Industrial IoT Disruption


The real value is a common architecture that connects sensor to cloud, interoperates between vendors, and spans industries

You don’t compete against competitors. You compete against market transitions.

– John Chambers

Where Can I Learn More?


ConnextCon Speakers!


community.rti.com


www.rti.com

Free for pre-commercial use

Thank You!


Connect!!


• [email protected]@RTIStanLinkedIn: Stan Schneiderhttps://www.linkedin.com/in/stan-schneider-102466/

• Bio– CEO Real-Time Innovations, Inc.– IIC Steering Committee Vice Chair

– Advisory Board, IoT SWC– Top-25 Global IIoT Influencer– PhD, EE/CS, Stanford

https://www.linkedin.com/in/stan-schneider-102466/

Smart Cities, Smart Power - iiconsortium.orgSales 40,000 Professionals Traffic & Transport Telco &...

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