UC Merced, CENS, ASCENT NIMSAQ and Hydrolab DS5: Overview and Applications Victor Chen, Sandra Villamizar, Henry Pai, Tom Harmon.

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Presentation transcript:

UC Merced, CENS, ASCENT NIMSAQ and Hydrolab DS5: Overview and Applications Victor Chen, Sandra Villamizar, Henry Pai, Tom Harmon

UC Merced, CENS, ASCENT Outline What it (NIMSAQ) does Physical Setup – Networked Infomechanical Mechanical Systems for Aquatic Applications (NIMSAQ) – Hydrolab DS5 multi-parameter probe Software Control Data Analysis – Parsing Data – RSurvey 2

UC Merced, CENS, ASCENT What can NIMSAQ do Image shows results from study site at San Joaquin-Merced River confluence 3 Precise and repeatable movements along cross section on local spatial grid with “less” setup time ← Study site ↑ Interpolated results at T1, generated from RSurvey. Dwelled points denoted in black.

UC Merced, CENS, ASCENT Physical Setup: NIMSAQ Left Image: Schematic of whole system, Right Image: Photo of Actuation Module 4 Challenges: 1.Adequate anchoring 2.Fighting the elements: currents (too much drag cause sag), waves (unstable), wireless connection Horizontal Motor External Encoder Placement Vertical Motor

UC Merced, CENS, ASCENT Physical Setup: Hydrolab DS5 5 Image is of stock DS5, ours is slightly different. Sensors on our DS5 1.LDO (luminescent dissolved oxygen) 2.Specific conductivity 3.PAR and reference PAR (photosynthetically active radiation) 4.Self-cleaning turbidity 5.pH 6.ORP (oxidation reduction potential)

UC Merced, CENS, ASCENT Software Control Operation Wirelessly log into control board (Ubuntu OS) in the actuation module Two command line sessions run Python scripts for motor control and sensor logging Issues PID gain control is not optimal leading sometimes to long moves Re-establishing control when wireless signal is lost 6 Laptop Router Control board HydrolabEncodersMotor Actuation Module Attached to NIMSAQ Putty, WinSCP Router Interface serial_sensor.py nimsaqmenu.py Diagram of control and communications software

UC Merced, CENS, ASCENT Data Analysis: Parsing Data localized by timestamps of encoders and sensors R allows for quick parsing, filtering, comparison, and averaging of data at a given dwell point 7 Horizontal Encoder Vertical Encoder Hydrolab Define start & end of dwell time Choose Hydro- lab data during dwell time Average Hydro- lab data for dwell position Diagram of data flow

UC Merced, CENS, ASCENT Data analysis: RSurvey Programmed by Jason Fisher GUI interface for data interpolation and visualization 8 R console Rsurvey Transect Manager Plotting bathymetry of transect Interpolated bathymetry Measured bathymetry Interpolated cross sect- ion data Images are from Rsurvey session

UC Merced, CENS, ASCENT Acknowledgements and Resources Additional members and colleagues that couldn’t make it here – Jason Fisher – Michael Stealey – Chris Butler – Brett Jordan – Yeung Lam – Bill Kaiser Resources – ASCENT website for further info about NIMSAQ: – Jason Fisher’s website for installation help for Rsurvey: 9

UC Merced, CENS, ASCENT Experimental Plan Tools at our disposal: – NIMSAQ (Cross section of ~50 m or less) – Hydrolab DS5 – Magellan MobileMapper Pro Handheld GPS 10 Sauce Grande Lagoon Image from Google Maps