An integrated cyberinfrastructure for real-time data acquisition and decision making in smart buildings

An integrated cyberinfrastructure for real-time data acquisition and decision making in smart buildings PowerPoint PPT Presentation


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Advisors. Tony Fountain Director of Cyberinfrastructure Laboratory for Environmental Observing Systems (CLEOS), SDSC/CalIT2 Paul LindenFounding director of UCSD Sustainability Solution InstituteChair, Department of Mechanical and Aerospace EngineeringZ(MAE) Jan KleisslAssistant Professor, Environmental Engineering, MAEInitiator of Decision Making using Real-time Observations for Environmental Sustainability (DEMROES).

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An integrated cyberinfrastructure for real-time data acquisition and decision making in smart buildings

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1. An integrated cyberinfrastructure for real-time data acquisition and decision making in smart buildings Peter Shin CSE UCSD

2. Advisors Tony Fountain Director of Cyberinfrastructure Laboratory for Environmental Observing Systems (CLEOS), SDSC/CalIT2 Paul Linden Founding director of UCSD Sustainability Solution Institute Chair, Department of Mechanical and Aerospace Engineering(MAE) Jan Kleissl Assistant Professor, Environmental Engineering, MAE Initiator of Decision Making using Real-time Observations for Environmental Sustainability (DEMROES)

3. Overview Problem: Modern campus buildings consume large amounts of power (to control internal climate) and are often inefficient in power utilization. Objective: Efficient energy utilization in building operations through automated real-time control system Approach: Integrated CI system Small, cheap sensors (weather stations) Wireless/wired networks Cyberinfrastructure for data acquisition and decision support Result: Integrated real-time sense-and-control system

4. Architecture Deploy weather stations around campus Use streaming data middleware to aggregate and integrate streaming data from weather stations DataTurbine (www.dataturbine.org) Use complex event processing engine to automate real-time decision making ESPER (http://esper.codehaus.org)

5. Weather Stations (DEMROES) Measurements: temperature, humidity, wind direction, wind speed, rain fall drops, solar radiation, solar panel voltage, solar panel current Sampling Frequency: 5 minutes per sample DEMROES Sites: La Jolla west campus (14 stations), east campus (3 stations), Scripps Institute for Oceanography (4 stations) Hillcrest Medical Center: 1 station Camp Elliott Field: 1 station UCSD Shuttle buses, trucks (mobile sensing): 2 stations

6. Streaming Data Middleware: DataTurbine

7. Complex Event Processing Engine: ESPER

8. Results A proof of concept for intelligent control of building A generic architecture for a broad suite of real-time sense-and-control systems customizable for various applications Integrated software tools, i.e., the coupling of DataTurbine with ESPER open-software products will be available to a broad community of system developers

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