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Intelligence at the Edge for Industrial IoTweb.stanford.edu/class/archive/ee/ee392b/ee392b... ·...

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Intelligence at the Edge for Industrial IoT 1
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Page 1: Intelligence at the Edge for Industrial IoTweb.stanford.edu/class/archive/ee/ee392b/ee392b... · Cloud models are not designed for the volume of data IoT generates. ... Maximize insight

IntelligenceattheEdgeforIndustrialIoT

1

Page 2: Intelligence at the Edge for Industrial IoTweb.stanford.edu/class/archive/ee/ee392b/ee392b... · Cloud models are not designed for the volume of data IoT generates. ... Maximize insight

Proprietary and Confidential

FogHorn Background

Purpose-BuiltEdge

Platform

Experienced,SuccessfulTeam

KeyIndustrialPartnerships

SiliconValleyStart-UpEst.2014

EdgeIntelligenceSoftwareforIndustrialIoT

2

SeriesAinQ22016SeriesBinQ42017

Page 3: Intelligence at the Edge for Industrial IoTweb.stanford.edu/class/archive/ee/ee392b/ee392b... · Cloud models are not designed for the volume of data IoT generates. ... Maximize insight

Proprietary and Confidential

IIoT andAIIndustryRecognition

3Proprietary and Confidential

#1 HotIoT StartuptoWatchin2017

The10CoolestTechStartupsof2016

1. Qualcomm2. Cisco3. Intel4. FogHornSystems5. AmazonWebServices6. Microsoft7. Everythng8. Google9. Tesla10. IBM

Page 4: Intelligence at the Edge for Industrial IoTweb.stanford.edu/class/archive/ee/ee392b/ee392b... · Cloud models are not designed for the volume of data IoT generates. ... Maximize insight

Proprietary and Confidential

AscendancyofEdgeComputing

4

Page 5: Intelligence at the Edge for Industrial IoTweb.stanford.edu/class/archive/ee/ee392b/ee392b... · Cloud models are not designed for the volume of data IoT generates. ... Maximize insight

Proprietary and Confidential

TransportationWearables

Connected Cars

Connected Homes

Connected Cities

Industrial Internet

Manufacturing

Utilities

Oil&Gas

Healthcare

TheRiseoftheInternetofThings

…IoTdeviceswillgrowtoasmanyas30billiondevicesby2020.McKinsey&Company.Image:GoldmanSachs.

5

Page 6: Intelligence at the Edge for Industrial IoTweb.stanford.edu/class/archive/ee/ee392b/ee392b... · Cloud models are not designed for the volume of data IoT generates. ... Maximize insight

Proprietary and Confidential

IndustrialIoTDataVolumeOverwhelming

EdgeintelligencewilldriverealvalueinIndustrialIoTLessthan1percentofthedatabeinggeneratedbythe30,000sensorsonanoffshoreoilrigiscurrentlyusedtomakedecisions.McKinsey

EdgesolutionsarecriticalforIoTCloudmodelsarenotdesignedforthevolumeofdataIoTgenerates.Cisco “Things”generate

moredataeveryday11PB Mining

480TB Jetengine24TB Automatedmanufacturing1TB Large refinery

0.8TB Large retail shop0.5TB USSmartmeters

6

Page 7: Intelligence at the Edge for Industrial IoTweb.stanford.edu/class/archive/ee/ee392b/ee392b... · Cloud models are not designed for the volume of data IoT generates. ... Maximize insight

Proprietary and Confidential

Maximizeinsightbyanalyzingreal-timeassetdata• StreamingML• Cleandiverse/noisyOTdataformaximuminsight• Determinesensorhealthinreal-time

ApplyyourbestintelligencetotheEdge• Updatemodelson-the-fly• Deploywithconfidence

OptimalEdgeperformance• Submilliseconddecisioningenablesnewapplications• Compact,commodityhardware/softwarefoundation,NoFPGA

EdgeAdvantage

Edgecomputingshiftsprocessingfromcentralserversoracloudtotheasset.Thisenablesricherdata,fasterreactions,andlowerbandwidth requirements.

Page 8: Intelligence at the Edge for Industrial IoTweb.stanford.edu/class/archive/ee/ee392b/ee392b... · Cloud models are not designed for the volume of data IoT generates. ... Maximize insight

Proprietary and Confidential

Monitor Manage

FogHorn EdgeIntelligencefor IndustrialIoT

FogHorn Differentiators• Tinyfootprint• OT-centric• Cloudagnostic

EdgeNode(PLC/DCS,Gateway)

8

FogHornEdgeIntelligence

MachineLearning

Enrichment

CEPAnalytics

Applications/SDK LocalHistorian

Transport/Publication

KeyCustomer Benefits• Lowersbandwidth/hostingcosts• Triggersreal-time insights• Enablesproactiveusecases• Maximizessecurityandprivacy

EdgeManagement/Monitoring/Configuration

ClosedLoopAnalytics/MLEdgeCloudFogHorn Manager

DataIngestion

MainUseCases• ConditionMonitoring• PredictiveMaintenance• AssetPerformanceManagement• IndustrialProcessOptimization

Page 9: Intelligence at the Edge for Industrial IoTweb.stanford.edu/class/archive/ee/ee392b/ee392b... · Cloud models are not designed for the volume of data IoT generates. ... Maximize insight

Proprietary and Confidential

EdgeProcessingAdvantagesforAnalytics/ML

9

Significanteventsmissed

Insignificantevents(sensorfluctuations)appearsignificant

Controllogic,streaminganalyticsandMLinferencesachievefarhigherfidelityonlivedataEd

ge(GB’s)

Clou

d(M

B’s)

Edgeprocessingdelivers:• Higherquality,cleanerdata• Reductioninfalsepositives• Maximuminsight• Fasterresponse• Betterinferences• Faulttolerance

Page 10: Intelligence at the Edge for Industrial IoTweb.stanford.edu/class/archive/ee/ee392b/ee392b... · Cloud models are not designed for the volume of data IoT generates. ... Maximize insight

Proprietary and Confidential

ClosedLoopMachineLearning

10

MLModels

DeepLearningModels

Filtered,Normalized,EnrichedData

EdgeMLTM

VELTM CEP Analytics

DataEnrichmentEnterpriseReferenceData

OperationalInsights

Business InsightsMES

Page 11: Intelligence at the Edge for Industrial IoTweb.stanford.edu/class/archive/ee/ee392b/ee392b... · Cloud models are not designed for the volume of data IoT generates. ... Maximize insight

Proprietary and Confidential

FogHornIIoTPartnerEcosystem

11

IndustrialSolution Providers CloudInfrastructureandAI/MLCompanies

IIoT ConsultantsandSIs

IIoT GatewaySuppliers

IIoT SemiconductorDevelopers

Page 12: Intelligence at the Edge for Industrial IoTweb.stanford.edu/class/archive/ee/ee392b/ee392b... · Cloud models are not designed for the volume of data IoT generates. ... Maximize insight

Proprietary and Confidential

IndustrialIoTUseCases

ManufacturingAPMandProcessIntelligence

DrillingEquipmentPredictiveMaintenance

Pipeline LeakandCorrosionDetection

Compressor/ValvePredictiveAnalytics

PumpConditionMonitoringandPredictiveMaintenance

RenewableEnergyOutputForecasting

WindTurbine OptimizationanfPredictiveMsintenance

Mining EquipmentTrackingAndAssetOptimization

LocomotiveFuelConsumptionandRemoteMonitoring

SmartCitiesandSmartBuildings

IntelligentReal-TimeHealthMonitoring

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TurbinePerformanceMonitoringandOptimization

Page 13: Intelligence at the Edge for Industrial IoTweb.stanford.edu/class/archive/ee/ee392b/ee392b... · Cloud models are not designed for the volume of data IoT generates. ... Maximize insight

CHALLENGE

FOGHORNSOLUTION

BENEFITS

Proprietary and Confidential

ImprovingCapacitorProductionYield

• Hard-to-detectfailureconditionsreducingyieldandincreasingscrap

• Noreal-timemonitoringoflargeamountsofsensordata

• NoOT-centricanalyticsformanufacturing teammembers

13

• FogHorn VEL™:Real-timeanalyticsonwindingmachinesensordata

• EdgeML™:MLonnormalizeddatastreamsforrealtimefailurealerts

• IterativerefinementofVELanalyticsandMLmodelstoassistoperators

MANUFACTURING

Improveyield,reducescrap

Deliverreal-timeanalyticstoOTstaff

Smart,notscheduled,maintenance

ANALYTICS/MLONWINDINGMACHINEDATADETECTSEARLYDEFECTS

Page 14: Intelligence at the Edge for Industrial IoTweb.stanford.edu/class/archive/ee/ee392b/ee392b... · Cloud models are not designed for the volume of data IoT generates. ... Maximize insight

CHALLENGE

FOGHORNSOLUTION

BENEFITS

Proprietary and Confidential

AutomatedFlareStackMonitoring

• Monitorlargenumberofflarestacks

• Limitedcommunications/computeresources

• Ensurecompliancewithenvironmental/regulatory requirements

• Reducelargespendonmaintenanceandcompliance

14

• FogHorn installedintoexistinggateways(<1Gb)

• Realtimeaudio/videoanalysisofflarefeeds

• Convolutionalneuralnetworks(CNN)fordeeplearning

• Sensorfusioncorrelateflarestatewithcompressoraudio

OIL&GAS

LowerOpexandmaintenancecosts

Broadcompliancemonitoring

Improvedsafety

REALTIMEVIDEOANALYTICSANDROOTCAUSECORRELATIONANALYSIS

Page 15: Intelligence at the Edge for Industrial IoTweb.stanford.edu/class/archive/ee/ee392b/ee392b... · Cloud models are not designed for the volume of data IoT generates. ... Maximize insight

CHALLENGE

FOGHORNSOLUTION

BENEFITS

Proprietary and Confidential

LocomotiveOperationalEfficiency

• Optimizefuelusage

• Detectsub-optimaloperatingconditions

• Reducemobilenetworkingcostsofmonitoring

15

• FogHorn installedintoon-boardhardeneddatacollectionsystems

• RTanalyticsonidling&throttledatabasedonlocation,speed&time

• Proactivealertssenttocommandcentersforoperationaloptimization

• Videoonlysentonabnormalconditionsreducingcellularcosts

TRANSPORTATION

Reductioninfuelandcellularcosts

Optimizecrewandtrainperformance

Ensuresafeoperatingconditions

ON-BOARDANALYTICSDRIVECENTRALIZEDOPERATIONALOPTIMIZATION

Page 16: Intelligence at the Edge for Industrial IoTweb.stanford.edu/class/archive/ee/ee392b/ee392b... · Cloud models are not designed for the volume of data IoT generates. ... Maximize insight

CHALLENGE

FOGHORNSOLUTION

BENEFITS

Proprietary and Confidential

OptimizingElevatorPerformance

• Monitor1.5M+elevators/escalatorsdeployedglobally

• Limitedcommunications/computeresources

• Minesensorinformationforactionableinsights

• Reduceinspection/repairfeesof~$2K/event

16

• FogHorn installedonexistingmotionsensorkits,<1Gbfootprint

• CEPtime-alignsstateandactivitydatain<20linesofcode

• 40+MLmodelsgeneratepredictivemaintenancealerts

SMARTBUILDINGS

Smart,notscheduled,maintenance

Reducecostlyrepairandservicing

Newmanagedservicerevenue

50+MLMODELSONTINYCONTROLLERSDELIVERPREDICTIVEMAINTENANCE

Page 17: Intelligence at the Edge for Industrial IoTweb.stanford.edu/class/archive/ee/ee392b/ee392b... · Cloud models are not designed for the volume of data IoT generates. ... Maximize insight

CHALLENGE

FOGHORNSOLUTION

BENEFITS

Proprietary and Confidential

WindFarmOutputForecasting

• Monitorlargevolumesofwindmills

• Limitedcommunications/computeresources

• Accuratelypredict,reportandmeet24hourpowergenerationgoals

17

• FogHorn installedintoexistinggateways

• Modelstrainedon20+attributestopredictpowergeneration

• Real-timescoringonpowergenerationwithalertsforproblems

• Enablestechniciantuningofsettingsorrevisedforecast

WINDENERGY

Alertswith90minutesleadtime

Constantlyupdatedpowerforecasts

Ensuregovernmentcompliance

REALTIMETURBINECONTROLS-DRIVENMACHINELEARNINGFORECASTS

Page 18: Intelligence at the Edge for Industrial IoTweb.stanford.edu/class/archive/ee/ee392b/ee392b... · Cloud models are not designed for the volume of data IoT generates. ... Maximize insight

IntelligenceattheEdgeforIndustrialIoT

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