https://github.com/void4main/pt8005
Python implementation to read data from PeakTech 8005 via USB/Serial-Port
https://github.com/void4main/pt8005
8005 dba dbc influxdb level meter peak python serial sound tech usb
Last synced: 9 months ago
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Python implementation to read data from PeakTech 8005 via USB/Serial-Port
- Host: GitHub
- URL: https://github.com/void4main/pt8005
- Owner: void4main
- Created: 2021-03-06T19:58:10.000Z (almost 5 years ago)
- Default Branch: main
- Last Pushed: 2021-03-13T15:30:14.000Z (almost 5 years ago)
- Last Synced: 2025-04-11T18:07:23.525Z (9 months ago)
- Topics: 8005, dba, dbc, influxdb, level, meter, peak, python, serial, sound, tech, usb
- Language: Python
- Homepage:
- Size: 182 KB
- Stars: 8
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# pt8005
Python implementation to read data from PeakTech 8005 via USB/Serial-Port
Simple terminal output for now (time, dBA/dBC, bar):
20:02:51.510314 46.9 *********************************************
20:02:51.560313 52.5 ***************************************************
20:02:51.610347 52.1 ***************************************************
20:02:51.660311 51.5 **************************************************
20:02:51.710230 50.9 *************************************************
20:02:51.760215 50.4 *************************************************
20:02:51.810328 49.9 ************************************************
20:02:51.860161 49.4 ************************************************
20:02:51.910140 49.0 ************************************************
20:02:51.960114 48.5 ***********************************************
20:02:52.010162 48.2 ***********************************************
20:02:52.060079 47.8 **********************************************
20:02:52.110095 47.4 **********************************************
20:02:52.160039 48.9 ***********************************************
20:02:52.210074 55.1 ******************************************************
20:02:52.260050 58.4 *********************************************************
20:02:52.310129 57.3 ********************************************************
20:02:52.359987 56.4 *******************************************************
20:02:52.410008 55.4 ******************************************************
20:02:52.459992 54.6 *****************************************************
20:02:52.509966 53.8 ****************************************************
20:02:52.559911 53.0 ****************************************************
20:02:52.609924 52.4 ***************************************************
and a second version to dump all the data to an existing InfluxDB to show the results in Grafana.
Like so:
