SHIELD-DAS 0.2

SHIELD permeation rig data aquisition system

SHIELD permeation rig Data Aquisistion System

This is a tool to be used with the SHIELD hydrogen permeation rig, providing a way to both record data from the rig and have a live UI displaying plots of the pressure values in the gauges connected to the rig and the temperature of the connected thermocouple.

Installation

The shield DAS package can be downloaded with pip

pip install SHIELD-DAS

However, in order to interact with the Labjack, additional drivers are required from the manufacturers site.

Example data recording script

This is an example of a script that can be used to activate the DAS.

from shield_das import (
    DataRecorder,
    WGM701_Gauge,
    CVM211_Gauge,
    Baratron626D_Gauge
)

# Define gauges
gauge_1 = WGM701_Gauge(
    gauge_location="downstream",
    ain_channel=10,
)
gauge_2 = CVM211_Gauge(
    gauge_location="upstream",
    ain_channel=8,
)
gauge_3 = Baratron626D_Gauge(
    name="Baratron626D_1KT",
    gauge_location="upstream",
    full_scale_torr=1000,
    ain_channel=6,
)
gauge_4 = Baratron626D_Gauge(
    name="Baratron626D_1T",
    gauge_location="downstream",
    full_scale_torr=1,
    ain_channel=4,
)

# Create recorder
my_recorder = DataRecorder(
    gauges=[gauge_1, gauge_2, gauge_3, gauge_4],
    thermocouples=[thermocouple_1],
    run_type="test_mode",
    recording_interval=0.5,
    backup_interval=5,
    furnace_setpoint=500,
)

# Start recording
my_recorder.run()

Example data visulisation script

from shield_das import DataPlotter

data_500C_run1 = "results/08.12/run_2_11h45/"
data_500C_run2 = "results/08.18/run_2_09h47/"
data_500C_run3 = "results/08.19/run_2_09h21/"
data_500C_run4 = "results/08.25/run_1_09h07/"

my_plotter = DataPlotter(
    dataset_paths=[data_500C_run1, data_500C_run2, data_500C_run3, data_500C_run4],
    dataset_names=["500C_run1", "500C_run2", "500C_run3", "500C_run4"],
)
my_plotter.start()