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Enterprise IoT. Strategies and Best Practices for Connected Products and Services - Helion

Enterprise IoT. Strategies and Best Practices for Connected Products and Services
ebook
Autor: Dirk Slama, Frank Puhlmann, Jim Morrish
ISBN: 978-14-919-2531-7
stron: 492, Format: ebook
Data wydania: 2015-10-29
Księgarnia: Helion

Cena książki: 135,15 zł (poprzednio: 157,15 zł)
Oszczędzasz: 14% (-22,00 zł)

Dodaj do koszyka Enterprise IoT. Strategies and Best Practices for Connected Products and Services

Current hype aside, the Internet of Things will ultimately become as fundamental as the Internet itself, with lots of opportunities and trials along the way. To help you navigate these choppy waters, this practical guide introduces a dedicated methodology for businesses preparing to transition towards IoT-based business models.

With a set of best practices based on case study analysis, expert interviews, and the authors’ own experience, the Ignite | IoT Methodology outlined in this book delivers actionable guidelines to assist you with IoT strategy management and project execution. You’ll also find a detailed case study of a project fully developed with this methodology.

This book consists of three parts:

  • Illustrative case studies of selected IoT domains, including smart energy, connected vehicles, manufacturing and supply chain management, and smart cities
  • The Ignite | IoT Methodology for defining IoT strategy, preparing your organization for IoT adoption, and planning and executing IoT projects
  • A detailed case study of the IIC Track & Trace testbed, one of the first projects to be fully developed according to the Ignite | IoT Methodology

Dodaj do koszyka Enterprise IoT. Strategies and Best Practices for Connected Products and Services

 

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Dodaj do koszyka Enterprise IoT. Strategies and Best Practices for Connected Products and Services

Spis treści

Enterprise IoT. Strategies and Best Practices for Connected Products and Services eBook -- spis treści

  • Foreword
  • Preface
    • Structure of This Book
    • How to Use This Book
    • Safari Books Online
    • How to Contact Us
    • Acknowledgments
  • 1. Overture
    • Mission: 50 Billion Connected Devices by 2020
    • Customer Perspective: Value-Added Services
    • Manufacturer Perspective: Connected Asset Lifecycle Management
    • Servitization: The Next Logical Step?
    • Prerequisite: Operator Approach
    • Impact: Disruption Versus Evolution
    • Clash of Two Worlds: Machine Camp Versus Internet Camp
    • Difficulty of Finding the Right Service
    • Foundation: Digitization of the Physical World
    • Critical: Security and Data Privacy
    • Timing: Why Now?
    • Keynote Contribution: IoT and Smart, Connected Products
  • 2. Enterprise IoT
    • From M2M Toward the IoT
    • Subnets of Things
    • Focus of this Book
      • Domain Focus
    • Definitions of Key Terms in IoT
  • I. IoT Application Domains and Case Studies
  • 3. Smart Energy
    • Influence of Digitization
    • Lessons Learned
    • Generation
    • Transmission
    • Distribution and Metering
    • Storage
    • Marketing, Sales, and Service
    • Customers
    • When Is All This Going to Happen?
    • Conclusions
    • Energy Case Studies
    • Smart Monitoring and Diagnostics Systems at Major Power Plants
      • Asset Integration Architecture of Smart M&D
      • Lessons Learned
    • Microgrids and Virtual Power Plants
      • VPP/MMS: Functional Overview
      • Case Study: Smart City Rheintal
        • Forecasting Photovoltaic Energy
        • Consumer Devices: Load Management
        • Electromobility Infrastructure
    • Smart Energy in the Chemical Industry
  • 4. Manufacturing and Industry
    • Integrated Production for Integrated Products
      • Sales/Marketing and New Business Models
      • End-to-End Digital Engineering
      • Manufacturing
      • IoT Service Implementation
      • IoT Service Operations
      • Aftermarket Services
      • Work Environment
      • Adaptive Logistics and Value-Added Networks
    • Other Industrial Applications
    • Industry Initiatives
      • Industry 4.0
      • Industrial Internet Consortium
    • Case Studies: Overview
    • Case Study: Smart Factory
      • Asset Integration Architecture
      • Conclusions and Outlook
    • Case Study: Intelligent Lot Tracking
      • Technical Architecture
      • Conclusions and Outlook
    • Case Study: Cleaning Service Industry and Technology
      • Kärcher Fleet Management Solution
      • Portal
      • Asset Integration Architecture
      • Lessons Learned
        • Project Organization
        • Product Design
        • Technology
        • Transfer from Project to Line Organization
    • Case Study: Global Cold Chain Management
      • Functional Solution Overview
      • Technical Solution Details and AIA
      • Lessons Learned and Recommendations
    • Case Study: LHCb Experiment at CERN
      • LHCb and Data Management
      • LHCb and Physical Data Analysis
        • LHCbs Asset Integration Architecture
        • Lessons Learned and Outlook
  • 5. Connected Vehicle
    • Car Dashboard and Infotainment
    • Value-Added Services
      • eCall
      • bCall
      • Stolen Vehicle Recovery
      • Usage-Based Insurance
      • So, Why No Open Car App Platform (Yet)?
    • Connected Enterprise Solutions
      • Fleet Management
      • Systematic Field Data
    • eMobility
      • EV Charging Services
      • eRoaming
      • EV Remote Management
      • EVs and Cross-Energy Management
    • Car Sharing
    • Intermodal Services
    • Vehicle Functions (Toward Automated Driving)
      • The Roadmap Toward Automated Driving
      • Automated Driving: Technologies
      • Automated Driving: System Architecture
      • Digital Horizon
      • Parking
    • Outlook
  • 6. Smart City
    • Key Drivers
    • Smart City Examples
      • Smart City Projects in Chicago: Implementing Live Pilot Tests
      • Smart City Projects in Rio de Janeiro: Using Safety to Attract New Business
      • Smart City Projects in Stockholm: Structuring a Dialog with Citizens and Private Companies
      • Smart City Projects in Boston: Connecting Citizens with City Services
        • Participatory Urbanism
        • Clicks and Bricks
        • 21st-Century Learning
      • Smart City Projects in Hong Kong: Focusing in on ICT
    • Business Models and KPIs for Smart Cities
    • Keynote Contribution: Wim Elfrink, EVP at Cisco
    • Relevance for IoT
    • Monaco Case Study
      • The City Platform
      • Crowd Management at and Around the Monaco Train Station
      • Fleet Management by Geolocalization
      • Monaco 3.0 Mobility App
    • Lessons Learned and Outlook
      • Part I Conclusions and Outlook
        • Regulation
        • Scalable Opportunities for MNOs in Automotive
        • Fleet Management Tracking Services
        • Government Mandates
        • Implementing Legislation: Smart Metering
        • Implementing Legislation: Healthcare
  • II. Ignite | IoT Methodology
  • 7. Ignite | IoT Strategy Execution
    • IoT Strategy
    • IoT Opportunity Identification
      • IoT Opportunity Categories
      • IoT Idea Generation Process
        • Example: Bosch Web 3.0 Platform
        • Employee Incentives
      • Idea Refinement
      • Opportunity Qualification
    • IoT Opportunity Management
      • Business Model Development
        • Partner Ecosystem
        • Developing the IoT Business Case
        • Business Case Challenges
      • Impact and Risk Analysis
        • Putting It All Together: The Business Plan
      • Opportunity Selection
    • Project Initiation
      • IoT Center of Excellence
      • IoT Platform
      • Summary and Conclusions
  • 8. Ignite | IoT Solution Delivery
    • IoT Solution Lifecycle: Plan/Build/Run
      • Assumptions
      • Approach Taken
    • IoT Project Initiation
      • Initial Solution Design
        • Analysis, Projections, Planning
        • Problem Statement/Executive Summary
        • Stakeholder Analysis
        • Site Survey
        • Solution Sketch
        • Project Dimensions
        • Quantity Structure
        • Milestone Plan
        • Functional Design
        • Getting Started: Use Cases and UI/HMI Mock-Ups
        • Adding Some Structure
        • Domain Model
        • Asset Integration Architecture (AIA)
        • Data Distribution
        • SOA Landscape
        • Technical Design
        • Software Architecture
        • Hardware Design
        • Technical Infrastructure
      • Make-or-Buy Decision
    • IoT Project Structure
      • Conways Law
      • IoT Project Workstreams
        • Project Management
        • Cross-Cutting Tasks
        • Security
        • Asset Lifecycle Management
        • Solution Integration and Testing
        • Solution Infrastructure and Operations
        • Backend Services
        • Communication Services
        • On-Asset Components
        • On-Asset Hardware
        • On-Asset Operating System and Application Container
        • On-Asset Middleware
        • Device Integration
        • On-Asset Business Logic
        • Backend Integration
        • Asset Preparation
    • IoT and Agile
      • An Open Letter to the Ignite Team
      • Limitations of Agile in the IoT
      • An Agile Approach to IoT
    • Building Blocks
      • IoT Project Dimensions
      • IoT Architecture Blueprints
        • Asset Integration Architecture
        • Mapping the AIA to Different Industries
        • AIA-Based IoT Architecture Patterns
        • Cross-Domain Integration: Subnets of Things (Again)
      • IoT Technology Profiles
        • IoT Gateways and Sensor Networks
          • M2M/IoT Gateways
          • Local Compute and Storage
          • Local Wireless Connectivity
          • Backend Connectivity
          • Sensor Networks
          • Sensors and Sensor Categories
          • Sensor Fusion
          • Sensor Network Application Areas
          • Sensor Nodes in Smart Homes
          • Smart Wearables
          • Transport and Logistics
          • Example: Sensor Selection and Integration
          • Industry 4.0
          • Trends and Outlook
          • Recommendations
        • M2M/IoT Communication Services
          • Service Overview
          • Mobile M2M Communication
          • Basic Elements
          • Challenges
          • SIM Lifecycle
          • M2M Connectivity Management Platforms
          • MCS and Ignite Asset Integration Architecture
        • Recommendations and Outlook
          • The Role of (M2M) Platforms to Date
          • Defining Best Practice for (IoT) Connectivity Platforms
          • Outlook
          • Recommendations
        • [Big] Data and Process Management
          • [Big] Data Management
          • IoT Data Types and Analytics Categories
          • Four IoT Data Management Scenarios
          • Scenario A: Basic M2M
          • Scenario B: Enterprise IoT and CEP
          • Example: Continuous Query Language (CQL)
          • CEP and IoT
          • Case Study: Emerson
          • Scenario C: Adding Big Data and Basic Analytics
          • Big Data
          • Basic Analytics
          • Adding NoSQL to the Equation
          • Building up the Big Data Infrastructure
          • Lambda Architecture
          • IoT Data Architecture
          • Scenario D: Adding Advanced Analytics
          • Machine Learning
          • Case Study: Machine Learning for Condition Monitoring in Industrial Applications
          • Case Study: Aircraft Engine Analytics
          • Conclusions
          • Industry 4.0 Perspective
          • General Recommendations
          • IoT and Process Management
          • Process Diversity
          • Expert Opinion
        • User Interaction
        • Security
          • Securing IoT Solutions
          • Security by Design
          • IoT Security Testing
          • IoT Safety Program
          • IoT Privacy Policies
          • Summary and Outlook
        • Platforms and Enablement
          • The IoT and the Cloud
          • M2M/IoT Application Platforms
          • Asset and Device Interface Management
          • M2M Backend/IoT Cloud
          • Asset Integration
          • IoT Applications and Mashups
          • Integrating Subnets of Things
          • Open Source
          • Industrial Data Acquisition Platforms
          • Basic Elements
          • Applications
          • Examples
          • Differentiation
          • Recommendation
          • Outlook
          • Wireless Indoor Localization
          • Cross-Sector Applications of Indoor Localization Systems
          • Diverse Requirements of Indoor Localization Solutions
          • Technical Foundation
          • The Future of WiFi-Based Indoor Localization
          • Case Study: KLM
          • Project Management Perspective
          • Learning and Best Practices
  • III. Detailed Case Study
  • 9. Background Information
    • Industrial Internet Consortium Testbeds
    • Track & Trace Testbed
      • Phased Approach
      • Testbed Sponsors
      • Phase 1
      • Phase 2
      • First Milestone: Bosch ConnectedWorld 2015
    • Industrial Power Tools: End-User Perspective (Airbus)
    • Industrial Power Tools: Vendor Perspective (Bosch Rexroth)
  • 10. Developing Track & Trace with the Ignite | IoT Methodology
    • IIC RA: Business Viewpoint
      • Problem Statement
      • Stakeholder Analysis
      • Site Survey
      • Project Dimensions
    • IIC RA: Usage Viewpoint
      • Use Cases
      • Solution Sketch
    • IIC RA: Functional Viewpoint
      • Getting Started: UI Mock-Ups
      • Domain Model
      • Asset Integration Architecture
      • Mapping the Domain Model to the AIA
      • SOA
    • IIC RA: Implementation Viewpoint
      • Software Architecture
      • Technical Infrastructure View
    • Results
  • 11. Conclusions and Outlook
  • A. References
  • Index

Dodaj do koszyka Enterprise IoT. Strategies and Best Practices for Connected Products and Services

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