Comments (3)
Here's the cover of the manual for the hardware I purchased:
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Thanks a lot! It's in the mail now.
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periodically push the data to GitHub, and use GitHub Actions and Twitter API to automatically make a tweet every time the noise exceeds the law, and tag relevant politicians in the tweet. I plan to run it 24/7. If you immediately see a technical reason that this will not work out, it would be great if you let me know ;)
I'm not sure how much flexibility GitHub Actions will give you. You may be better off 'working' with the data on the Raspberry Pi, and then posting to Twitter (from the Raspberry Pi).
You will probably find that you'll need to sample the data to detemine a breach of a given threshold, for example, if you look at the output below (raw data vs 5 second sample vs a 10 second sample):
If I defined by breach threshold as 65db(A), a lot of tweets would have been sent when using the raw data (the narrow peaks are cars passing). The red line (5 second average) and the blue line (10 second average) give you a better idea of an ongoing loud noise.
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Related Issues (7)
- Is this for loggin noise? HOT 41
- Error when running gm1356 HOT 1
- Libusb busy HOT 1
- CPU 100% load
- USB URB solved ? HOT 1
- Importing recorded readings (SoundLab software)? HOT 11
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