Presentation on theme: "Environmental Monitoring Workgroup Report. Environmental Monitoring? ► It’s more than just biology ► Three classes: Ecophysiology ► Looking for everything,"— Presentation transcript:
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
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
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?
Key Challenges ► Calibration ► Management Tools ► Combination of data from remote sensing with wider systems (e.g. GIS) ►...and, as always, cost
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
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
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
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
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!