The Open IoT Stack: Architecture and Use Cases James Kirkland Chief - - PowerPoint PPT Presentation

the open iot stack architecture and use cases
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The Open IoT Stack: Architecture and Use Cases James Kirkland Chief - - PowerPoint PPT Presentation

The Open IoT Stack: Architecture and Use Cases James Kirkland Chief IoT Architect, Red Hat Marco Carrer CTO, Eurotech 1 TODAYS IoT CHALLENGES Lack of Open Standards Vendor Lock-in Fragmentation Avoid being locked in by a single


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The Open IoT Stack: Architecture and Use Cases

James Kirkland – Chief IoT Architect, Red Hat Marco Carrer – CTO, Eurotech

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Diverse set of technologies, features, standards, and point solutions, each

  • f which promises to be the panacea

Avoid being locked in by a single vendor and seek modular and standard solutions

Lack of Open Standards Vendor Lock-in

Must integrate operational technology with information technology to be able to derive insights at the edge and in the cloud

Fragmentation

TODAY’S IoT CHALLENGES

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Open Source Cloud

PRINCIPLES of an OPEN IoT ARCHITECTURE

Open & Interoperable

Based on open source and open industry standards Accelerates innovation with no lock-in, enables eco-systems

Modular yet Integrated

Integration at the edge and in the data center Ready-to-use building blocks for a faster time to market

End-to-End Security

Enterprise- grade data security and compliance - from the edge, all the way through to storage and access

IT / OT Management

Manage field devices and the data center Improved operational efficiency with flexible deployments

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Securely connect, authenticate and manage disparate connected devices that speak different protocols Apply analytics at the edge with machine learning and business rules to enable local, low-latency decision making Centralize IoT data processing, analytics and machine learning to enable deep business insights and actionable intelligence Enable integration with enterprise and business applications to bridge the gap between OT and IT and reduce complexity Tools to enable end-to-end data security, compliance, authorization and authentication

FEATURES of an OPEN IoT ARCHITECTURE

Device Management & Connectivity Intelligent Edge Processing & Analytics Advanced Analytics & Machine Learning Business & Application Integration End-to-End Security & Compliance

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DATA MANAGEMENT & ANALYTICS PLATFORM

Integrating IoT operating technology, data management, analytics, and applications

IoT GATEWAYS CONNECTED “THINGS” IoT INTEGRATION HUB ENTERPRISE APPLICATIONS

OPEN END-TO-END IoT ARCHITECTURE

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Connected “Things”

Sensors, Actuators, Data Sources

OPEN END-TO-END IoT ARCHITECTURE

Integrating IoT operating technology, data management, analytics, and applications

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IOT Gateways Connected “Things”

Sensors, Actuators, Data Sources Edge Processing & Analytics

  • Device connectivity
  • Remote management
  • Data transformation
  • Intelligent routing
  • Business logic
  • Real-time decisions
  • Machine learning

execution

  • I/O services

OPEN END-TO-END IoT ARCHITECTURE

Integrating IoT operating technology, data management, analytics, and applications

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IOT Gateways IOT Integration Hub Connected “Things”

Sensors, Actuators, Data Sources Data Integration, Routing, Device Command/Control Edge Processing & Analytics

  • Device connectivity
  • Remote management
  • Data transformation
  • Intelligent routing
  • Business logic
  • Real-time decisions
  • Machine learning

execution

  • I/O services
  • Device registry and

management

  • Device provisioning
  • Message routing
  • Data collection
  • Event management
  • Integration services
  • Access control

OPEN END-TO-END IoT ARCHITECTURE

Integrating IoT operating technology, data management, analytics, and applications

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IOT Gateways Data Management & Analytics Platform IOT Integration Hub Connected “Things”

Sensors, Actuators, Data Sources Data Integration, Routing, Device Command/Control Edge Processing & Analytics Advanced Analytics & Machine Learning

  • Device connectivity
  • Remote management
  • Data transformation
  • Intelligent routing
  • Business logic
  • Real-time decisions
  • Machine learning

execution

  • I/O services
  • Device registry and

management

  • Device provisioning
  • Message routing
  • Data collection
  • Event management
  • Integration services
  • Access control
  • Data ingest
  • Real-time processing
  • Data storage
  • Machine learning
  • Real-time analytics
  • Data security

OPEN END-TO-END IoT ARCHITECTURE

Integrating IoT operating technology, data management, analytics, and applications

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IOT Gateways Data Management & Analytics Platform IOT Integration Hub Enterprise Applications Connected “Things”

Sensors, Actuators, Data Sources Data Integration, Routing, Device Command/Control Edge Processing & Analytics Application Development, Deployment, Integration Advanced Analytics & Machine Learning

  • Device connectivity
  • Remote management
  • Data transformation
  • Intelligent routing
  • Business logic
  • Real-time decisions
  • Machine learning

execution

  • I/O services
  • Device registry and

management

  • Device provisioning
  • Message routing
  • Data collection
  • Event management
  • Integration services
  • Access control
  • Data ingest
  • Real-time processing
  • Data storage
  • Machine learning
  • Real-time analytics
  • Data security
  • Application development and

management

  • Self-service provisioning
  • Persistent storage
  • Polyglot, multi-language

support

  • Automation
  • Scalability
  • Container portability
  • Deployment flexibility

OPEN END-TO-END IoT ARCHITECTURE

Integrating IoT operating technology, data management, analytics, and applications

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IoT GATEWAYS IoT INTEGRATION HUB ENTERPRISE APPLICATIONS CONNECTED “THINGS” DATA MANAGEMENT & ANALYTICS PLATFORM

Real-Time Analytics Data Ingest Real-Time Processing Data Storage Machine Learning Data Security

Telemetry Data

Application Integration Application Data Management

Telemetry Data

Integrating IoT operating technology, data management, analytics, and applications

OPEN END-TO-END IoT ARCHITECTURE

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WHY OPEN SOURCE FOR IoT

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IOT Gateways IOT Integration Hub CONNECTED “THINGS” Enterprise Applications

AN END-TO-END OPEN SOURCE ARCHITECTURE FOR IoT: Products

Sensors, Actuators, Data Sources Data Integration, Routing, Device Command/Control Edge Processing & Analytics Application Development, Deployment, Integration Advanced Analytics & Machine Learning

Data Management & Analytics Platform

Community Data Hub

Mobile and Web Business Applications

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Develop IoT Edge Computing Apps

Wires Data Flow SQL Database Full Java APIs

Connect to Field Devices

Industrial Protocols Modular Drivers

Connect to IoT Cloud Services

Multiple Connections Message Routing Digital Twins

RS 232/485 Bluetooth Low Energy USB CAN bus GPS/GNSS GPIO/I2C/PWM

Everyware Cloud AWS IoT Azure IoT Eclipse Kapua Other

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Application Integration Security Device Management Data Management Device Connectivity (A-MQ)

Mobile & Enterprise Application s

@

Alerts & Notifications JBOSS BRMS

Message Routing (Fuse)

Enterprise Integration Patterns JBOSS Fuse

Administration Real-Time Analytics

Data Dashboard s Business Intelligence ETL Hooks

Device Registry MQTT Storage Account Management Access Control REST API Device Mgmt Console Device Management Protocols Device Provisioning Device Batch Operations IoT Devices and Gateways

Cellular Connectivity / SIM Management Platforms

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  • Device Provisioning
  • Application Life-cycle Management
  • Service Configuration Management
  • Security / Certificate Management
  • Device Batch Operations & Groups
  • Remote Access and Maintenance
  • Remote Log Retrieval
  • Digital Twin for Gateway and Field Devices

MQTT

  • n

Security Administration Data Management Device Connectivity Application Integration Device Management

Field Devices, PLC’s

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IOT Gateways IOT Integration Hub CONNECTED “THINGS” Enterprise Applications

AN END-TO-END OPEN SOURCE ARCHITECTURE FOR IoT: Products

Sensors, Actuators, Data Sources Data Integration, Routing, Device Command/Control Edge Processing & Analytics Application Development, Deployment, Integration Advanced Analytics & Machine Learning

Data Management & Analytics Platform

Enterprise Data Hub

Mobile and Web Business Applications

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IoT Use Cases

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Connected Clinics

Application:

  • Connect machines to the internet in a

nonintrusive way

  • Provide nurses with access to machine status
  • Provide manufacturers access to machine logs
  • Enable remote maintenance with less field visits

Key Success Factors:

  • Open Standard Connectivity
  • Device Provisioning
  • Remote Access VPN
  • Onboarding and Data Acquisition App
  • Port/IP Forwarding
  • Cellular Connectivity

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BOILER GATEWAY IOT APPLICATION IOT PLATFORM CONSUMER SERVICE CENTER

Application:

  • End users to remote control their own thermo-

devices

  • For technical assistance operators to perform

remote diagnostics

  • Valuable data for R&D, Service, Marketing

departments to develop & sell new products and services Key Success Factors:

  • Service-oriented business model
  • Open and industry standards based
  • ESF hardware abstraction, Java/OSGi
  • Remote device & embedded app. mgmt.
  • Real time data
  • M2M / IoT know how in Eurotech
  • Eurotech worldwide footprint

Connected Product

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Connected Plant

Computationally intensive algorithms for data manipulation and analysis

Application:

  • Failure Monitoring and Predictive Maintenance
  • Smart sensor and analytics capabilities at the

edge

  • Powerful analytics and visualization solutions

at the enterprise IT level Key Success Factors:

  • Flexibility of the platform
  • Advanced Analytics and Pattern Matching at the

gateway (Fog/Edge Computing)

  • Multiple Cloud connections

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Application:

  • Cloud based automatic passenger

counting (APC) system

  • Equip trams with Eurotech’s passenger

counters and a gateway

  • Real time planning of route, optimizing use
  • f the fleet
  • Application for Data Statistics, combining

passenger counts, GPS positioning, door

  • pen/close events and other route

information Key Success Factors:

  • Complete end-to-end solution
  • Advanced PCN technology
  • High accuracy
  • Short development time
  • Easily integration with web app
  • Cost effective
  • Scalable for future requirements

DynaCOR PCN-1000

Connected Public Transporation

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Business Requirements:

  • Active remote monitoring and control of

various systems in a building

  • End-to-end solution with bi-directional

communication to all kind of sensors and actuators

  • data and process hub for energy-related

services and operative asset management.

  • Value-added services around buildings for

energy suppliers and facility service providers Benefits from:

  • Pay-per-use business model
  • Comprehensive tool for service and asset

management

  • Maintenance cost reduction
  • Increase availability and reliability for

costumers

  • Improve quality assurance of existing SLA

CUSTOM MULTISERVICE GATEWAY IOT CLOUD PLATFORM

Portal Operator B2B Customers

Flexible Energy Appliance

Field Service

Energy Management

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Connected Trains

Application:

  • On board diagnostics
  • Data collection for optimization and predictive

maintenance

  • Remote access and maintenance
  • Railway certified hardware with MVB interface
  • On premise device management and data

integration Key Success Factors:

  • Open Standard Connectivity
  • Modular Field Access Drivers
  • Data Flow Programming
  • Portable IoT Edge Middleware
  • On-premise IoT Cloud Platform

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THANK YOU