Pramod K Varshney Syracuse University

Presentation Overview What is the EQS STAR Center? Scope of EQS Research Sensor Networks and their Role in EQS Monitoring, Information Processing and Control Issues

A NY Strategically Targeted Academic Research Center http://www.coees.org http://eqs.syr.edu

Center of Excellence in Environmental Systems Syracuse is poised to be a National Leader in EQS May 2001: Governor Pataki announces a $15M grant for SU s STAR Center for Environmental Quality Systems (EQS). June 2002: Governor Pataki announces a $22M grant for SU s CoE-ES.

Center s Hub and Distributed Facilities The Center has a hub in Syracuse and distributed facilities all over NYS Clarkson Buffalo Rochester UMU ESF MDA UFI NYIEQ Syracuse Cornell RPI Albany IES Alfred

EQS Center s Mission Strategically Targeted Academic Research (STAR) As the research arm of the CoE-ES, the EQS Center conducts research, develops and transfers technology and educates professionals in integrated systems that enhance human health and performance, reduce life-cycle costs and improve the quality of urban and built environments. Where we spend 90% of our time where 75% of us live

Intelligent Environmental Quality Systems (i-eqs) Attributes of Intelligence Aware A.I.R SAID Reconfigurable Interactive SAID = Sense, Analyze, Interpret and Decide

Scope of i-eqs EQS research efforts will apply to a broad range of i-eqs... from personal (micro-scale) to urban (macro-scale) EQS for Personal Environmental Control (P-EQS) EQS for Large High-Performance Buildings (B-EQS) EQS for Airsheds & Watersheds of Urban Ecosystems (U-EQS) Object Examples: Person Lake Food Product Multi-mode Fluxes Examples of Nested Environmental Scales Micro Meso Macro Scale Micro Personal Building Meso Building Urban Ecosystem Macro Urban Ecosystem Regional Airshed Lake Watershed Region EQS Actions: Sensing/Analyzing/Interpreting/Deciding Communicating Controlling

Built Environmental Systems For improved health, productivity, sustainability and security Lighting Information & Communication Surrounding Environment Building Envelope HVAC Occupants Fire & Safety Power & Energy Water Supply & Drainage : Flows of energy, mass, and information

Scope of Research Intelligent Built Environmental Systems: i-bes Fundamental Integrated Pollutants Sources/Sinks Pollutant Transport i-bes Technologies i-bes Design i-bes Control VOC emissions VOC sorption Particle emissions Particle dispersion Porous media (filters) Around buildings Multi-zone buildings Individual rooms/spaces Occupants & respiratory sys Low-emitting materials/sys. Personal vent. sys./devices Air cleaning & purification Simulation models Online databases Expert systems Integrated design Chem/Bio Sensors Trusted info networks info processing Intelligent controls

U-EQS

Conceptual Process Diagram Databases Indoor/Built Environment Information Acquisition Via Sensors Trusted Information Network Intelligent Information Processing Control and Response Plan System Controller and/or HCI Resource Management

Key Components Sensing Technology Sensor Networks Intelligent Information Processing Control and Management Methodology Experimental Verification and Testing

Sensing Technology Sensor development physical, chemical and biological aspects electronics Performance evaluation accuracy sensitivity reliability Performance enhancement neural networks Sensor placement building architecture and HVAC system sensing and communication coverage temporal and spatial dispersion patterns optimization

Sensor Networks Wired or wireless? SN architecture node placement modulation, coding and protocols Adaptive management and control bandwidth energy Security and information assurance

Intelligent Information Processing System architecture Control/Action Devices Global Decision Maker Local Decision Makers Sensor

Intelligent Information Processing Sensor and subsystem modeling Learning algorithms Knowledge discovery Information fusion acquisition, processing and synergistic combination of information Signal processing and decision making Time-critical algorithms

Control and Management Methodology Multi-level intelligent control variety of levels of focus, specificity, accuracy and time constants Model-based control proactive rather than reactive modeling of sensor and process models Methodology analytic models neural networks fuzzy logic Verification analytical methods computer simulation experiments

Control and Management Methodology Dynamic response plan Mitigation HVAC system multi-zone buildings chemical / biological actions Evacuation flow and graphical models game theoretic methods optimization algorithms Video surveillance

Experimental Verification and Testing Sensor and subsystem models Intelligent information processing algorithms Intelligent control methods Integrated experiments in a model building