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Home automation has recently gained a new momentumthanks to the ever-increasing commercial availability of domotic components.In this context, researchers are working to provide interoperationmechanisms and to add intelligence on top of them. For supportingintelligent behaviors, house modeling is an essential requirement to understandcurrent and future house states and to possibly drive morecomplex actions. In this paper we propose a new house modeling ontologydesigned to fit real world domotic system capabilities and tosupport interoperation between currently available and future solutions.Taking advantage of technologies developed in the context of the SemanticWeb, the DogOnt ontology supports device/network independentdescription of houses, including both “controllable” and architectural elements.States and functionalities are automatically associated to themodeled elements through proper inheritance mechanisms and by meansof properly defined SWRL auto-completion rules which ease the modelingprocess, while automatic device recognition is achieved throughclassification reasoning.
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DogOnt - Ontology Modeling for IntelligentDomotic Environments
Dario Bonino, Fulvio Corno
Politecnico di TorinoDipartimento di Automatica ed Informatica
Torino - Italy
October 28, 2008
Outline
1 Introduction
2 Objectives
3 Intelligent Domotic Environments
4 DogOnt
5 DogOnt - applications
6 Conclusions
DOMOTICS
DOMus infOrmaTICS: Information technology in the home(domus is Latin for home).
Remote lighting and appliance control have been used foryears (see X10),Nowadays domotics is another term for the digital home,including: the networks and devices that add comfort andconvenience as well as security;Controlling heating, air conditioning, food preparation, TVs,stereos, lights, appliances, entrance gates and securitysystem all fall under the domotics umbrella.
Domotic Systems - drawbacks (1/2)
Many vendors on the market, each with separate, notcompatible, solutions
Different technologies (bus, powerline, wireless)Different protocols (KNX, MyOpen, X10, LonWorks)Different device featuresDifferent sophistication of device firmware (from simplerelay to full software-based operation)
Domotic Systems - drawbacks (2/2)
Nowadays Domotic Systems are rooted on simple electricautomation
Only simple automation is supportedSimple scenariosFixed, programmed behaviorsSimple comfort, security and energy saving policies
No support for more complex interactionsAdaptation to user preferencesContext detectionStructural verificationStatic and dynamic reasoning on the house state
Starting considerations
The sparseness of domotics solutions, the differences inlanguages, communication means and protocols is verysimilar to the “old web”Semantic Web technologies can help solving
Interoperation issuesIntegration of different technologies
and can support home intelligence throughReasoningContext Modeling...
Outline
1 Introduction
2 Objectives
3 Intelligent Domotic Environments
4 DogOnt
5 DogOnt - applications
6 Conclusions
Objectives
Evolving Domotic Systems into Intelligent DomoticEnvironments (IDEs) supporting Interoperation, Integration andIntelligence.
ByAdding a single (cheap) device for
interoperating different domotic plantsimplementing complex behaviors
Modeling environments in a semantic-rich, technologyindependent wayProviding suitable querying and reasoning mechanism overthe environment model
Outline
1 Introduction
2 Objectives
3 Intelligent Domotic Environments
4 DogOnt
5 DogOnt - applications
6 Conclusions
Anatomy of an IDE
DOG
DOG is a Domotic House Gateway [ICTAI2008] designedfor transforming commercial Domotic Systems intoIntelligent Domotic Environments.It provides
Interoperation between different domotic networks throughproper drivers;technology independent, ontology-based, house and devicemodelingadvanced, inter-network, rule-based scenario definition andoperationreasoning on the house model
DogOnt is the ontology model lying at the bases of DOG
Outline
1 Introduction
2 Objectives
3 Intelligent Domotic Environments
4 DogOnt
5 DogOnt - applications
6 Conclusions
DogOnt
DogOnt is an ontology model designed for supportingInteroperation, Integration and Intelligence in domoticenvironments
Building ThingBuilding EnvironmentStateFunctionalityDomotic NetworkComponent
Environment Modeling (1/2)
BuildingThingModels all the elements ofa Building Environmentdivided into
ControllableUnControllable
The UnControllablesub-tree allows to model
Furniture elementsWalls, floors, ceilingsand other architecturalelements (Architecturalsub-tree)
Environment Modeling (2/2)
BuildingEnvironment
Models rooms and architectural spaces composing ahouse
RoomsExternal spaces such as garages, garden, etc.
Device Modeling
Devices are modeled independently from specifictechnologies3 Modeling axes:
Typology - describes the type of device, separatingappliances and devices belonging to house plantsFunctionality - describes the tasks that a device canaccomplish, by defining the available commandsState - describes the conditions in which a device can be(e.g. a Lamp can be ON or OFF)
Technology specific aspects are modeled through separateclasses
NetworkComponent - the root concept for modeling everynetwork specific information, its sub-classes reflect thedifferent networks supported by DOG.
Typology
Controllable devices taxonomy
AppliancesBrown Goods (TV,HiFi,...)White Goods (Fridge,Dishwasher,...)
HousePlantsElectricHVAC (HeatingVentilation & AirConditioning)Security
Functionalities (1/3)
Control FunctionalitiesModel the ability of a device to be controlledDefine the possible commands and their range (needed forcontinuous functionalities)Almost every Controllable has a control functionality
Notification FunctionalitiesModel the ability of a device to issue a notification aboutstate/configuration changesDefine the possible notificationsTypical of Sensors and Buttons/Switches
Query FunctionalitiesModel the ability of a device to be queried about itsstate/configurationIt’s defined for all Controllables
Functionalities (2/3)
Every Functionality class is subdivided into
Continuous FunctionalitiesModel the ability to change device properties in acontinuous manner (e.g. dimming the light emitted by alamp)
Discrete FunctionalitiesModel the ability to abruptly change device properties (e.g.switching a lamp On)
Functionalities (3/3)
States (1/2)
States are classified according to the kind of values they canassume
Continuous statesModel continuously changing qualities (e.g. the currentdimming level of a lamp)The current state value is stored in the continuousValueproperty.
Discrete statesModel discretely changing qualities (e.g. the lamp being Onor Off)The current state value is stored in the discreteValueproperty.Possible states are listed in the possibleStates property.
States (2/2)
DimmerLamp modeling example
Outline
1 Introduction
2 Objectives
3 Intelligent Domotic Environments
4 DogOnt
5 DogOnt - applications
6 Conclusions
DogOnt applications in IDEs (1/2)
DogOnt supports several critical features of IDEs
Device ModelingAllows to define a central point of configuration for realdevicesAbstracts from network-specific issues, exposing systemsand objects as a uniform set of devices, states andfunctionalitiesEnables syntactic and semantic check of commandsreceived from external applications/devices
DogOnt applications in IDEs (2/2)
Device Modeling (continued...)Transitive closure and Classification Reasoning allow todecouple evolution of the model and domotic systemsdevelopmentsSupports the definition of top-down inter-plant scenarios(e.g. scenarios activated by external applications whichinvolve devices in more than one plant)Provides the basis for interoperation between plants (e.g.allowing a BTicino button to control a KNX light)
Frequent issue in Hospitals, Universities, FactoriesOn-going work on automatic generation ofinteroperation rules from DogOnt (DogOnt v2.0)
Outline
1 Introduction
2 Objectives
3 Intelligent Domotic Environments
4 DogOnt
5 DogOnt - applications
6 Conclusions
Conclusions
We defined DogOnt: an ontology for describing domoticenvironments with a particular focus on objects, states andfunctionalitiesDogOnt is currently used by the DOG home gateway,allowing to control several, different, domotic plants, at thesame timeStandard reasoning methods allow to decouple theevolution of DogOnt and of the modeled environmentsDogOnt can be used as a basis on which building morecomplex/intelligent behaviors for commercial domoticsystems
On-going work
We are currently working on:
Structural verification ofdomotic environmentsthrough the evaluation ofSWRL constraints onDogOnt model instancesDynamicdetection/prediction ofsafety critical situations(smoke propagation, safeexit detection in case offire) using rule-basedreasoning and DogOnt
