Smart Buildings as Cyber-Physical Systems (CPS) In Smart

Cities: Living Building

Dr. Driss Benhaddou Associate Professor and Fulbright Scholar

University of Houston, TX dbenhaddou@uh.edu

Tuesday, 01/05/2016

Sensor & Wireless Network Driven Intelligent Building Systems

Motivation Living Building Vision and metaphor Description of the system Sensor Information Processing Model Fundamentals Challenges What can we do now Research opportunities

Outline

Motivations

Smart Grid Energy Efficiency

Smart Cities

Our Vision: a Living Building Paradigm •  ABuilding/campus/neighborhoodthatcanautonomouslymanageitspowerconsump,on,genera,on,andcontrolasitisalivingorganisms.

•  ABuildingthatcanop,mizeenergyconsump:on•  ABuildingasMicrogrid.•  ABuildingthatiscontextaware:Itinteractswithitsoccupantsandadaptstotheirpreferences.

Living Metaphor

•  NervousSystem:madeofanetwork(wireless)ofsensors,actuators,andcompu:nginfrastructure.

•  Regulatory:BuildingControlalgorithms.•  Immunefunc,ons:Madeoffaulttolerantandfailureavoidanceanddetec:onalgorithms.

Building as a Cyber-Physical System

•  TheseintelligentbuildingsareCyber-PhysicalSystems(CPS)thatwillrequireadeepintegra:onofAr:ficialIntelligence(Sensingandcomputa:on),communica:on(e.g.WSN,middleware),andcontrol.

•  Thesepartsareimplementedaslayeredservices.

The Physical Layout

RenewableEnergy

SmartHomes

SmartOffice

CentralPowerPlant

Processor

StorageStorage

GeneratorGenerator

IndustrialPlant

StorageStorage

SmartBuildings

Withrooftopsolarpanels

PHEV

PHEVParking Deck

MGCC

EIS MCMCMC

MC

MC MC

Abstraction Layers

Sensed Information Processing

Usersactivitiessensing/input

ProductionSensing(solar)

ConsumptionSending

EvaluationPredictionmodelsUseractivityModels

MicrogridmaintenanceFaultmanagement,etc.

MicrogridManagementSystem

BuildingManagementSystem

UserFeedbackIndirectuseractivitysensing

Consumptiondatafromequipment

ProductiondatafromrooftopsolarenergyEvents

Adjustmicrogrid

SpecialconfigurationsRepairandmaintenance

Adjusttemperaturesetting,machines,etc

VisualizationUsercomfortseting

CPS and Smart Grid: Home Scenario

Multi-domain Perspective campus/neighborhood view

MeshNode

End-User

Gateway

InternetCampusNetWirelessLink

BuildingPlace

Control Plane Office

DataBase Server ApplicationServer

EMSElectricityProvider

AMI

Appliance

Storage

Charging

rate

Charging

rate

Power

Voltages

Max

.

Min

.

Power

Increaseload

Increaseload

ESS

ESS

HouseA

House B

SECRETS–SustainableEnergyClustersREalizedThroughSmartGrids(IRESENfunded)

Middleware Design

Datastorage

Sensors/actuatorsBoardSOAWebServicesdevelopmentClouddeployment

WebServices

TCP/IP

AbstractionLayerVirtualrepresentationofNetworkPlug-and-playspecificationTrafficRegulationDeviceeffecting/actuating

DatacollectionDatatransformingfilteringDatasummarization/aggregationStatisticsgenerationdeviceID

Dataassimilation

FaultDetectionerrorlogsAlarmhandling

FaultManagement

MediationLayer

DataandsystemIntegrationEnergyefficiencyDemandResponseElectricvehiclechargingPredictionsgeneration

Energymanagementsystem

ServiceInterfaceEvent-basedPubSubpatternConfigurationaccommodationPrioritiesAssignment

IntegrationCapabilities

Application-LogicIntegrationContext-awarenessSocialNetworksServiceOrchestration:discovery,adaptation...

Businesssemanticsmanagement

ManagementLayer

Middleware

ControlWebservicesSecurity

SecurityManagement

LogicalInteraction(API)

DirectInteraction(API)

Devices

PLC,Modbus,BacknetEthenet,WIFI,Zigbee,Zwave

AMIT/Hsensors,Pressure,Lightning,CO2,Motion….Dampers,AHU,Motors

Communication

Fundamental Challenges

•  SmartSensing:smartdoors,smartwindows,charger,Solar,etc.

•  NetworkandComplexSystemModelingforreliability

•  HumanBehavior:Sensing,impac:ng,andModeling•  Learning:appliedmachinelearning

What can we do now: Estimation of Building Attendance

using WiFi •  Input:WiFiNetworkLogs

•  Output:AOendancees:ma:on

•  Futurework:AOendancepredic:onbasedonMarkovand/orregressionmodels.

0200400600800

10001200

409419503505508515516517522547553590

AGendancebyBuilding(11:00am)

0200400600800

10001200

AGendanceBuilding547

Smart Doors

•  Ultrasound Sensors

•  Infrared Sensors

•  Machine Learning

•  Identification

What Next

•  DenseSensing•  DeepLearning•  Nonintrusive•  Smartnessinthenetwork•  Reliablenetworks•  Autonomousbuildingthatcanactonitsown,understandsandfeelsitsoccupant

Question &

Answer

Thank You!