Internet of Things( IoT) - My LIUCmy.liuc.it/MatSup/2017/N91323/7-2 Industrial IoT. and... ·...

InternetofThings (IoT)

LuigiBattezzatiPhD.

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InternetofThings (IoT)• ThestoryofIoT• Definition• Diffusion• DigitalTwins• ValueAdded• Technologies• Implementationsteps• Today• Tomorrow• Conclusion

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IoT diffusionbyindustry

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IoT diffusionbyimpactonvaluechain

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DigitalTwinDefinition

• Digital twins refer to computerized companions ofphysical assets that can be used for various purposes.

• Digital twins use data from sensors installed onphysical objects to up date the representation ofreality based on a mathematical and statistical model.

• The digital twin is meant to be an up-to-date andaccurate copy of the physical object's properties andstates, including shape, position, gesture, status andmotion.

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DigitalTwinsExamples

• One example of digital twins can be the use of 3Dmodeling to create a digital companion for thephysical object.

• It can be used to view the status of the actualphysical object, which provides a way to projectphysical objects into the digital world

• For example, when sensors collect data from aconnected device, the sensor data can be used toupdate a "digital twin" copy of the device's state inreal time.

• The term "device shadow" is also used for theconcept of a digital twin.

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DigitalTwinsApplications

• In another context, Digital twin can be also used formonitoring, diagnostics and prognostics.

• In this field, sensory data is sufficient for buildingdigital twins.

• These models help to improve the outcome ofprognostics by using and archiving historicalinformation of physical assets and perform comparisonbetween fleet of geographically distributed machines.

• Therefore, complex prognostics and IntelligentMaintenance System platforms can leverage the use ofdigital twins in finding the root cause of issues andimprove productivity

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Examplesofindustryapplications

• AircraftEngines:GEhttps://www.infosys.com/insights/services-being-digital/Documents/future-industrial-digital.pdf

• WindTurbineshttp://www.twi-global.com/news-events/news/2017-03-twi-embarks-on-lifecycle-engineering-asset-management-through-digital-twin-technology/

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AircraftEngines

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WindTurbines

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Videoofindustryapplications

AircraftEngines:Minds+Machines:MeettheDigitalTwinhttps://www.youtube.com/watch?v=2dCz3oL2rTw (15min)

WindTurbineshttps://www.youtube.com/watch?v=OZ-N3h40lPc

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AnholisticvisionofDigitalTwins

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SiemensPLM- TheRealValueoftheDigitalTwin(24vmin)

https://www.youtube.com/watch?v=gK5sHDfBMP4


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PotentialimpactofIoT onbusinessprocesses

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• Re-orders, replenishment, Kanbans, through the use of internet-connected sensors and devices, could be immediatelycommunicated to a business’s ERP, without the need for humanintervention (besides the occasional moderation of processes).

• Lean manufacturing would get a little bit leaner by cutting out a lotof the need for human interaction with machinery and data.

• IoT allows for manufacturers to receive warnings and notificationswhen products need attention or repairing;

• However, businesses will need to be able to successfully adapttheir processes to this new model, as well as respond accordingly.

PotentialimpactofIoT onbusinessprocesses

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• Understanding customer behavior within your business’s CRMmay get a little more sophisticated.

•• By being able to communicate directly with products,

manufacturers are better able to assess how and when productsare being utilized, as well as if and when they malfunction.

• For manufacturing companies that are intrigued by the prospectof IoT, they’ll need to do a lot of preparatory work and considermany factors, including the size of their current ERP and CRM,how these software tools will connect with IoT, if everyone in thecompany is on board with IoT, how it will affect currentmanufacturing and sales/customer service processes, and more.

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PotentialIoT Challenges

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• Data security will likely be the biggest pressure point when itcomes to the IoT.

• While IoT welcomes more data to the use of manufacturers, italso opens the door for more data to be breached, specificallywith mobile devices or wearable tech.

• As a newer technology solution, IoT users will need to be able tofind a way to secure large amounts of data from sources such asmobile

• The cost of adding IoT will probably be a major initial investment,something that many small to mid-size manufacturers just won’tbe able to do.

• Analysis of data from IoT is still relatively weak, meaning thatmanufacturers still have to manually parse through large amountsof information.

PotentialIoT Challenges

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• While there’s a lot at stake with the Internet of Things, it’s clearthat it’s not going away anytime soon.

• New advancements in technology are common in themanufacturing industry, and you can expect software companiesto begin considering how to tap into the potential of IoT and begincrafting new ways of processing and understanding technologyand communication from all kinds of sources.

• Sometimes additional IoT is not necessary because the sensorsand data are available but not stored and used


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IoT Technologies

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IoT Technologies

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IoTTechnologiesoverview

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IoTTechnologieskeyfeatures

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IoT Technologiesdatarate/powerconsumption

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IoT Technologiesprotocolefficiency

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IoTTechnologicalDevelopments

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IoT Technologies

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BigDataandIoT

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IoT Technologies

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Implementation steps ofIoT

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• How do we achieve success in this journey and becomeinnovative?

• What are the critical success factors?

• What are the risks?

• The processing of Internet of Things data requires a step-by-step approach

5stepstoIoT implementation

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1. Acquire data from all sources.

These sources include automobiles, devices, machines, mobile devices,networks, sensors, wearable devices and anything that produces data.

2. Ingest all the acquired data into a data swamp.

The key to the ingestion process is to tag the source of the data. Streamingdata that needs to be ingested can be processed as streaming data and canalso be saved as files. Ingestion also includes sensor and machine data.

3. Discover data and perform initial analysis.

This process requires tagging and classifying the data based on its source,attributes, significance and need for analytics and visualization.

5stepstoIoT implementation

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4. Create a data lake after data discovery is complete.

This process involves extracting the data from the swamp andenriching it with metadata, semantic data and taxonomy and addingmore quality to it as is feasible. This data is then ready to be usedfor operational analytics

5. Create data hubs for analytics.

This step can enrich the data with master data and other referencedata, creating an ecosystem to integrate this data into the database,enterprise data warehouse and analytical systems. The data at thisstage is ready for deep analytics and visualization.


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Thetop10IoT application areas – based onreal IoT projects

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1-ConnectedIndustry: StrongIoTprojectfootprintinoil&gasandinfactoryenvironments

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• ConnectedindustryisthelargestIoTsegmentintermsofnumberofIoTprojects.

• Thissegmentcoversawiderangeofconnected“things”suchasprintingequipment,shopfloormachinery,cranesorentiremines.

• Oneofthelargestsub-industriesisOil&Gas.• Theabilitytoremotelymonitorandoptimizeheavyassetshasresulted

inanumberofprojects.• AnexampleisRasGas´ LNGequipmentmonitoringinRasLaffan,Qatar,

allowingtheLNGproducertoperformpredictivemaintenanceonitsassets.

• ManufacturingshopfloorsareanotherareaofmajorimportanceforIoT.

• Forexample,GermanfoodproducerSeebergerknowsexactlywherespecificgoodsareatanystageoftheproductionprocessallowingforcompletefoodtraceability.

2-SmartCity:TrafficmanagementandutilitiesdrivingSmartCityIoT usecases

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• 20%ofallidentifiedIoT projectsareSmartCityrelated.• Ontopofthat,theIoT EmploymentStatisticsTrackershowsastrong

upwardtrendonthebackofhundredsofrecentSmartCityinitiativesstartedbygovernmentsaroundtheworld.

• ProminentexamplesincludetheCityofBarcelona andtheCityofLondon.

• ThemostpopularSmartCityapplicationisSmartTraffic (e.g.IntelandSiemens´ SmartParkingsolutionintheCityofBerlin)followedbySmartUtilities (e.g.Dublin´s smartbins).

• OtherSmartCityinitiativesevolvearoundcitysafety.Anotable(European)safetymonitoringIoT projectistheCityPulse IoT projectinEindhoven wheretheinformationonnoiselevelsismatchedwithsocialmediamessagesinordertodetectandmanageincidentsandadjustthestreetlightingaccordingly.

3-SmartEnergy:StrongpushintheUSandotherpartsoftheAmericas

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• Both North and South America appear to be strong adopters of SmartEnergy projects with nearly half of all identified Smart Energy IoTprojects taking place there.

• The majority of Smart Energy projects can be classified as Smart Gridinitiatives, an example being the American City of Fort Collins Utilities´Smart Grid initiative.

• Another extensive Smart Energy project is the smart griddemonstration project on Jeju Island, South Korea, which incorporatesboth distributed renewable generation and advanced meteringinfrastructure.

• While typically these projects focus on increasing the efficiency andreliability of the grid, IoT technology can also be used to avoid energytheft as showcased in a project in Tucumán, Argentina.

4-ConnectedCars:LargestsegmentmakinguseofM2Mtechnology

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• ConnectedcarsisoneofthemorematureIoTsegmentsinwhichM2M/CellulartypeofIoTconnectivityhasbeenemployedforquitesometime.

• MostConnectedCarIoTProjectsfocusonvehiclediagnosticsandmonitoring.

• TwooutofthreeprojectscanbeclassifiedasFleetManagementinitiatives,anexamplebeingTelefonica´sfleetmanagementsolutionforISS.

• Ontopofthat,thereareanumberofusage-basedcarinsuranceprojects,e.g.UnipolSai´sblackboxsolution.

• OthertypesofprojectsincluderealtimedecisionsupportforHonda´sracingteam orDaimler´sCar2Gocarsharingservice.


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IoTTodayandTomorrow

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IoT Technologiesroadmap

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PotentialeconomicalimpactsofIoT

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Conclusions

• Keyissue:DigitalTwin

• PotentialimpactofIoT andtrust

• AdaptionlevelofIoT andmaturityofindustrialsectors

• IoT,Cybersecurity,Cloud….

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Internet of Things( IoT) - My LIUCmy.liuc.it/MatSup/2017/N91323/7-2 Industrial IoT. and... ·...

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