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TRANSCRIPT
Smart Buildings as Cyber-Physical Systems (CPS) In Smart
Cities: Living Building
Dr. Driss Benhaddou Associate Professor and Fulbright Scholar
University of Houston, TX [email protected]
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!