Dust Alarm
The dust alarm is a gui program that monitors an API and warns a user when the particle count has exceed the tolerance.
- The warning is audible (and eventually visual)
- Monitors Keck's inner dome sensor
Development plan
Beta
Create a command line program that can be control by parameter that sounds an audible alarm when the particle count has exceed the tolerance.
parameters:
- particle tolerance
Release
Create a gui program (tkinter) that audibly warns the user when the particle count has exceeded tolerance.
- particle tolerance can be controlled via the gui
- the current particle count is displayed on the gui
- the user is visually warned though the gui
TTS
Text-to-Speech (TTS) with Tacotron2 trained on LJSpeech.
I used the web interface to generate flac files for the following phrases (incorrect spelling for proper pronunciation):
- Less than ten particles have been detected in one leeter of air
- The particle count has exceeded ten particles per leeter of air
- The particle count has exceeded twenty particles per leeter of air
- The particle count has exceeded thirty particles per leeter of air
- The particle count has exceeded forty particles per leeter of air
- The particle count has exceeded fifty particles per leeter of air
- The particle count has exceeded one hundred particles per leeter of air
- The particle count has exceeded one hundred and fifty particles per leeter of air
- The particle count has exceeded two hundred particles per leeter of air
- The particle count has exceeded two hundred and fifty particles per leeter of air
- The particle count has exceeded three hundred particles per leeter of air
- The particle count has exceeded three hundred and fifty particles per leeter of air
- The particle count has exceeded four hundred particles per leeter of air
- The particle count has exceeded four hundred and fifty particles per leeter of air
- The particle count has exceeded five hundred particles per leeter of air
The flac files were then convert to wav files using the following command:
flac -d <flac_file>
Install
Create a file secret.py in the same directory as dust_alarm.py with the following two variables
SOUND_FILES = 'absolute/path/to/sound/file/directory'
KECK_API = 'Keck particle api url'
Ensure the following aliases exists on the user account interested in using this software
alias dust_alarm="/path/to/project/dust-alarm/dust_alarm.py"
alias dust_alarm_quiet="/path/to/project/dust-alarm/dust_alarm.py --quiet"
Usage
# normal usage
$ dust_alarm & # fg and end the process to end the alarm program or kill the whole terminal.
# quiet usage, no output to terminal
$ dust_alarm_quiet &
# define tolerance explicitly
$ dust_alarm --tolerance 100 &
$ dust_alarm_quiet -t 100 &