book

Enterprise IoT

by Dirk Slama, Frank Puhlmann, Jim Morrish, Rishi M Bhatnagar

October 2015

Intermediate to advanced

492 pages

14h 43m

English

O'Reilly Media, Inc.

Read now

Unlock full access

Structure of This BookHow to Use This BookSafari® Books OnlineHow to Contact UsAcknowledgments
Mission: 50 Billion Connected Devices by 2020Customer Perspective: Value-Added ServicesManufacturer Perspective: Connected Asset Lifecycle ManagementServitization: The Next Logical Step?Prerequisite: Operator ApproachImpact: Disruption Versus EvolutionClash of Two Worlds: Machine Camp Versus Internet CampDifficulty of Finding the Right ServiceFoundation: Digitization of the Physical WorldCritical: Security and Data PrivacyTiming: Why Now?Keynote Contribution: IoT and Smart, Connected Products
From M2M Toward the IoTSubnets of ThingsFocus of this BookDomain FocusDefinitions of Key Terms in IoT
Influence of DigitizationGenerationTransmissionDistribution and MeteringStorageMarketing, Sales, and ServiceCustomersWhen Is All This Going to Happen?ConclusionsEnergy Case StudiesSmart Monitoring and Diagnostics Systems at Major Power PlantsAsset Integration Architecture of Smart M&DLessons LearnedMicrogrids and Virtual Power PlantsVPP/MMS: Functional OverviewCase Study: Smart City RheintalSmart Energy in the Chemical Industry
Integrated Production for Integrated ProductsSales/Marketing and New Business ModelsEnd-to-End Digital EngineeringManufacturingIoT Service ImplementationIoT Service OperationsAftermarket ServicesWork EnvironmentAdaptive Logistics and Value-Added NetworksOther Industrial ApplicationsIndustry InitiativesIndustry 4.0Industrial Internet ConsortiumCase Studies: OverviewCase Study: Smart FactoryAsset Integration ArchitectureConclusions and OutlookCase Study: Intelligent Lot TrackingTechnical ArchitectureConclusions and OutlookCase Study: Cleaning Service Industry and TechnologyKärcher Fleet Management SolutionPortalAsset Integration ArchitectureLessons LearnedCase Study: Global Cold Chain ManagementFunctional Solution OverviewTechnical Solution Details and AIALessons Learned and RecommendationsCase Study: LHCb Experiment at CERNLHCb and Data ManagementLHCb and Physical Data Analysis
Car Dashboard and InfotainmentValue-Added ServiceseCallbCallStolen Vehicle RecoveryUsage-Based InsuranceSo, Why No Open Car App Platform (Yet)?Connected Enterprise SolutionsFleet ManagementSystematic Field DataeMobilityEV Charging ServiceseRoamingEV Remote ManagementEVs and Cross-Energy ManagementCar SharingIntermodal ServicesVehicle Functions (Toward Automated Driving)The Roadmap Toward Automated DrivingAutomated Driving: TechnologiesAutomated Driving: System ArchitectureDigital HorizonParkingOutlook
Key DriversSmart City ExamplesSmart City Projects in Chicago: Implementing Live Pilot TestsSmart City Projects in Rio de Janeiro: Using Safety to Attract New BusinessSmart City Projects in Stockholm: Structuring a Dialog with Citizens and Private CompaniesSmart City Projects in Boston: Connecting Citizens with City ServicesSmart City Projects in Hong Kong: Focusing in on ICTBusiness Models and KPIs for Smart CitiesKeynote Contribution: Wim Elfrink, EVP at CiscoRelevance for IoTMonaco Case StudyThe City PlatformCrowd Management at and Around the Monaco Train StationFleet Management by GeolocalizationMonaco 3.0 Mobility AppLessons Learned and OutlookPart I Conclusions and Outlook

IoT StrategyIoT Opportunity IdentificationIoT Opportunity CategoriesIoT Idea Generation ProcessIdea RefinementOpportunity QualificationIoT Opportunity ManagementBusiness Model DevelopmentImpact and Risk AnalysisOpportunity SelectionProject InitiationIoT Center of ExcellenceIoT PlatformSummary and Conclusions
IoT Solution Lifecycle: Plan/Build/RunAssumptionsApproach TakenIoT Project InitiationInitial Solution DesignMake-or-Buy DecisionIoT Project StructureConway’s LawIoT Project WorkstreamsIoT and AgileAn Open Letter to the Ignite TeamLimitations of Agile in the IoTAn Agile Approach to IoTBuilding BlocksIoT Project DimensionsIoT Architecture BlueprintsIoT Technology Profiles
Industrial Internet Consortium TestbedsTrack & Trace TestbedPhased ApproachTestbed SponsorsPhase 1Phase 2First Milestone: Bosch ConnectedWorld 2015Industrial Power Tools: End-User Perspective (Airbus)Industrial Power Tools: Vendor Perspective (Bosch Rexroth)
IIC RA: Business ViewpointProblem StatementStakeholder AnalysisSite SurveyProject DimensionsIIC RA: Usage ViewpointUse CasesSolution SketchIIC RA: Functional ViewpointGetting Started: UI Mock-UpsDomain ModelAsset Integration ArchitectureMapping the Domain Model to the AIASOAIIC RA: Implementation ViewpointSoftware ArchitectureTechnical Infrastructure ViewResults

Content preview from Enterprise IoT

Part III. Detailed Case Study

The Ignite | IoT Methodology presented in Part II was developed by analyzing best practice and M2M/IoT case studies, such as the ones discussed in Part I. Naturally, these projects did not use the Ignite | IoT Methodology, because it was not available at the time. So, the next important step for Ignite | IoT is to enter a validation phase where we can identify the strengths and weaknesses of the proposed methodology and fine-tune it based on what we learn. One of the first projects to be fully developed based on the Ignite | IoT Methodology is the IIC Track & Trace testbed.

Track & Trace is a solution that Bosch Software Innovations is currently developing with its partners Tech Mahindra, Bosch Rexroth, and Cisco. The goal is to enable management of handheld power tools in manufacturing and maintenance environments. This “management” involves efficiently tracking and tracing these tools to ensure their proper use, prevent their misuse, and collect data on their usage and status. A phased approach will be used.

The next chapter (Chapter 9) provides general background information about the Track & Trace testbed. The subsequent chapter (Chapter 10) describes the full Plan/Build/Run cycle for the testbed.