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Parhum Delgoshaei Chelsea Green Vinod K. Lohani Virginia Tech Virginia Tech Virginia Tech AbstractAssessment Applications of Dataflow Programming in Sustainability.

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Presentation on theme: "Parhum Delgoshaei Chelsea Green Vinod K. Lohani Virginia Tech Virginia Tech Virginia Tech AbstractAssessment Applications of Dataflow Programming in Sustainability."— Presentation transcript:

1 Parhum Delgoshaei Chelsea Green Vinod K. Lohani Virginia Tech Virginia Tech Virginia Tech AbstractAssessment Applications of Dataflow Programming in Sustainability Education NSF Engineering Education Awardees, Jan. 31 st - Feb. 2 nd 2010- National Science Foundation DLR Grant 0431779 and NSF-REU Site Grant 0649070 Data from impaired stream: outdoor Lab Ongoing Work Applications in Environmental Monitoring  LabVIEW dataflow is well suited for collection, processing and communication of environmental data and can be used to teach sustainability concepts.  A new module for EngE 1024 focusing on water quality monitoring of an impaired on-campus stream and its applications in environmental sustainability was introduced in fall ‘09  Water quality monitoring will enable us to explore answers for questions such as:  What are the natural ranges and the storm, seasonal and annual variability in water quality parameters?  What locations do parameters fall outside the natural range and to what duration and extent?  What are the pollutant loadings from controllable and uncontrollable sources and in the watershed? Contact: pd1352@vt.edu, seagreen@vt.edu, vlohani@vt.edu Conclusions  Adding additional water monitoring sensors (wireless sensor network)  Introducing module on analysis of solar energy conversion in EngE 1024 to complement Sustainable Energy Design Project (SEDP) that students complete in the course  LabVIEW programming language gradually integrated in a freshman engineering course, EngE 1024, Fall ’07 – Spring ’10  Students develop LV programs and are provided with data acquisition code  LabVIEW Enabled Watershed Assessment System (LEWAS) developed  Collected data used to raise awareness of environmental sustainability  LEWAS was transformed from a desktop version in to a system capable of real- time monitoring using a field deployable, power efficient embedded computer  System indoor function verified: real-time streaming to EngE 1024 students (Fall ‘09) and outdoor deployment to impaired stream (to be completed S’10) Virginia Tech’s campus; site indicated by star Future site of deployment (planned completion, May ‘09). Mounting poles in place, solar panel, batteries and wireless to be installed Access to real-time environmental data can enhance my awareness and curiosity about environmental issues such as the state of an impaired stream that runs through campus.  LabVIEW can be used to provide students with real-time environmental data from an impaired on-campus stream and enhance their environmental awareness  Themes extracted from qualitative analysis of in-class survey data: An appreciation for real world LabVIEW applications and its real-time benefit. An understanding of Virginia Tech's watershed and where local water flows. Live Demonstration in EngE 1024: Virtual Instrument front panel shows real- time data from a multi-probe sonde in an indoor laboratory LabVIEW Web Publishing Internet ENGE 1024 Lecture Real-Time Water Quality Data in Classroom compactRio embedded computer: processing, storing, transmitting data (wireless) Water Quality Sonde LabVIEW program loaded on compactRio LabVIEW Dataflow Programming Equipment Setup for DAQ Activity LabVIEW output of temperature probe readings  Data flow programming approach is suitable for many engineering applications  Data Acquisition (DAQ) activities demonstrate how data can be collected from physical phenomena such as temperature and processed in dataflow  In-Class activity allows students to derive Newton’s law of cooling by applying regression on collected data to arrive at equation relating temperature and time  DAQ extended to processing environmental data Proposed system to allow students to perform remote solar tracking and measure generated solar power in real-time Temperature, Dissolved Oxygen, pH, Specific Conductivity


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