Module: MOX_SensorModel


Module info:

Module name Short description Publishes Subscribes
MOX_SensorModel Module that implements a MOX gas sensor inverse model to improve the gas sensor readings. <ENOSE_LABEL>_MOXMODELED SHUTDOWN

MOOS commands accepted by the module:

Parameters accepted in the MOOS mission file:
Parameter Description
a_decay Constant for the "linear fitting" applied to the decay time constants obtained from calibration (tau = a_decay*abs(reading-min_reading) + b_decay)
a_rise Constant for the "linear fitting" applied to the rise time constants obtained from calibration (tau = a_rise*abs(reading-min_reading) + b_rise)
b_decay Constant for the "linear fitting" applied to the decay time constants obtained from calibration (tau = a_decay*abs(reading-min_reading) + b_decay)
b_rise Constant for the "linear fitting" applied to the rise time constants obtained from calibration (tau = a_rise*abs(reading-min_reading) + b_rise)
decimate_value Decimation value after noise-filtering (use 1 to dont apply decimation)
ENOSE_LABEL The name of the MOOS variable containing the Enose data to be displayed
save_maplog Indicates (true/false) if a "log file" will be saved for offline matlab visualization.
winNoise_size Size of the noise-filtering window (smooth) used within the MOXmodel.

Detailed description:
Module that implements a MOX gas sensor inverse model to improve the gas sensor readings.The objective is to overcome to a certain extent one of their major disadvantages: their slow recovery time (tens of seconds)This module exploits a double first-order model of the MOX sensor from which a steady-state output is anticipated in real timegiven measurements of the transient state signal.For detailed description see paper: "Overcoming the slow recovery of MOX gas sensors through a system modeling approach" http://mapir.isa.uma.es/jgmonroy

Module graph:
MOX_SensorModel

TODO list:
(None)


Changes log:
(None)



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