21 May 2014 Motivation Evolution of Building Management Systems - PowerPoint PPT Presentation

Project Overview 21 May 2014

Motivation – Evolution of Building Management Systems

Vision – Future Integrated Smart Buildings T oday’s commercial buildings • Wealth of difgerent, but isolated automation, management and information systems • Integration of the difgerent systems requires high engineering efgort Future integrated smart buildings • Integration of legacy and novel BAS with minimal engineering efgort • Convergence of BAS and ICT systems • Uniform Information Model and comprehensive Semantic Knowledge • Value-added building services on top of integrated BAS and ICT systems

BaaS Challenges Overcome traditional silo structures • no interoperability between BA domains • hindering comprehensive data analysis • no creation of knowledge Avoid proprietary engineering approach • not fmexible: high engineering efgort required • proprietary: lack of standardized interfaces • no quick creation of new applications Introduce common semantic model • system to be operated by experts only • no common information model and semantics • no easy integration of existing / legacy systems • no quick creation of new applications

BaaS Approach – Situation and Vision Situation : A building consists of difgerent systems with difgerent • Responsibilities: – Building automation: heating & ventilation, lighting & blinds, … – Facility management: room reservation, access control, … – IT management: network access, printing services, beamer control, … • Partly standardized data models: BACnet, KNX, oBix, OPC-UA, … • Proprietary engineering models: Siemens DESIGO, Kieback & Peter, ... • Communication interfaces: KNX, BACnet, EEBUS, CAN, WS + oBIX, ... • Degree of self-description: the integration of BIM + BAS + BAS-semantics is currently not existing Vision : Integrated building systems that are easily extensible in terms of new services and applications and are based on an open standardized semantic building services platform.

BaaS Approach – Problem and Mission Problem (what we sufger from) • Engineering, commissioning and operation of domains requires a host of difgerent tools (from difgerent vendors, for difgerent technologies) • The resulting system models, confjgurations and interfaces are mostly proprietary and often not available online or in the fjeld • Lack of common information models and integrated engineering tools makes it very hard to add additional services to an existing installation Mission (what we need to do) • Standardized communication mechanisms (a.k.a. transport bindings) • Domain independent data models and associated representations • Semantic models for services and data following common ontologies • T ools for integration of legacy systems, data models, and interfaces • T ools for developing and integrating new value-added services and applications (incl. engineering and commissioning support)

IoT Architecture Reference Model: Functional View

IoT ARM: Deployment Confjgurations

BaaS Reference Architecture (Functional sketch)

European Project Partners 21 May 2014

Project partners  Model based management  Planning phase  Run time phase  Abstraction layer at run time  Hierarchical object model for management of relevant resources 9/1/14 Materna 11

Project partners  Model based management  Usability  Event-condition-action  OSGI remote services  Legacy support 9/1/14 TU Dortmund 12

Project partners  Real time capable web services  Web services on embedded devices  Real time web service 9/1/14 Universität Rostock 13

Project partners  Domain specifjc languages  Platform SDK  Semantic web of things 9/1/14 Siemens 14

Project partners  Smart city  Smart lighting  Light paths for humans  Room booking  User feedback, e.g. NFC 9/1/14 everis 15

Project partners  Value added services based on geographic information  Geolocated objects and services  Indoor positioning  Visual interaction with the building 9/1/14 prodevelop 16

Smart Meeting Room 21 May 2014

Smart meeting room The Smart Meeting Room orchestrates beyond silos:  Lights  Heating, Ventilation, AC  Shutters and enables convergence with traditional IT:  Network  Computing devices 9/1/14 18

Reconfjguration triggered by…  Presence detection utilizing a variety of sensors  Passive infrared  Ultrasonic  Identifjcation  RFID +  External conditions  Light  T emperature  Room planning and schedule 9/1/14 19

Reconfjguration  T enant profjles and policies  User feedback  User corrects mistake, e.g. adjusts temperature  Optimization and predictive automation  Modularized reasoning over context 9/1/14 20

21 May 2014 Predictive Automation

Use-Case: Predictive Automation for Energy Effjcient Buildings  Goal : develop mechanisms to reduce the energy consumption of shared spaces, while still complying with the needs of users Room Bookin User Historica  g preference Example: proactive temperature control l data Syste s of a meeting room based on user-preferences, available devices, room m layout, outside temperature and historical data TWT Optimization Algorithms  T echnical Approach: Semantic BaaS sensor fusion & information processing & domain-specifjc optimization framework algorithms control  Shared Main BaaS features needed: Space Semantic abstraction from actual hardware BaaS – 21.05.2014 Andreas Müller – TWT GmbH 22