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Environmental Monitoring Workgroup Report

Environmental Monitoring Workgroup Report. Environmental Monitoring?. It’s more than just biology Three classes: Ecophysiology Looking for everything, later analysis Public Health – “Environmental Alarm System” Looking for specifics, threshhold detection Controlled Agriculture

elijah-wolfe
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Environmental Monitoring Workgroup Report

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  1. Environmental MonitoringWorkgroup Report

  2. Environmental Monitoring? • It’s more than just biology • Three classes: • Ecophysiology • Looking for everything, later analysis • Public Health – “Environmental Alarm System” • Looking for specifics, threshhold detection • Controlled Agriculture • Looking for specifics, automatic response

  3. App Ideas • Public Health • Soil nitrate flow monitoring • Municipal water system quality • Disease tracking in animals • Controlled Agriculture • High-density sensing and control • What can be gained by instrumenting “every plant, stem, and leaf”? • Limited by precision of response

  4. Technical Challenges • Question really isn’t:“what are the remaining technical challenges?” • It’s really:“what has actually been solved?” • Single Hop Data Collection • ...anything else?

  5. Key Challenges • Calibration • Management Tools • Combination of data from remote sensing with wider systems (e.g. GIS) • ...and, as always, cost

  6. Calibration • All three app classes expect accurate data • Calibration must be an ongoing process, executable in situ • But, sending a person to “wipe the dust off the lens” is not the most cost-effective option • Consider calibration to environmental reference points (e.g. the sun at high noon) • Consider mobile artificial reference points • Self-Testing is also a key component of calibration • Detecting faulty sensors • Compare data to ongoing baseline, or neighboring nodes

  7. Management Tools • We have very little visibility into the actual operation of our sensor networks • How are the sensors performing? • Is the network meeting our standards? • Detailed event logging • Accurate ongoing power monitoring

  8. Data Fusion • Sensor networks must interoperate with large-scale, pre-existing systems • Systems must be composed of pieces running at different scales • Wider-scale systems should be able to control narrower-scale, and vice versa • Networks should be nonuniform, in sensing density and modality

  9. Ideas that need trying • Tiered sensor networks • Mobile sensing, and maintenance • Imaging-interpretation sensors • It’s not always possible to get a simple physical or chemical sensor for every phenomenon • More programmable or composable systems

  10. Key Higher-Level Challenge • Listen to your domain experts! • We cannot come up with every application • Even if you think “geez, why would you want to sense that?” • Many domain experts are used to the reliable, and clunky data collection systems • They may prefer high data rate and reliability over small size • Don’t have any domain experts? • Find some!

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