boiler
hyelicht
| boiler | hyelicht | |
|---|---|---|
| 1 | 4 | |
| 0 | 138 | |
| - | - | |
| 6.2 | 10.0 | |
| 6 months ago | over 2 years ago | |
| Rust | C++ | |
| Apache License 2.0 | GNU General Public License v3.0 only |
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boiler
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Ask HN: What have you built with ESPHome, ESP8266 or similar hardware
I tend to roll my own with rp-picos for no good reason other than they're easy. Wattmeter for a toy solar installation - broadcasts a UDP packet every few seconds, which I then record into a staging JSON log that gets ingested into DuckDB. Little pico-w wifi temperature sensor that feeds into the raspberry pi zero that controls my boiler.
Thread about the boiler: https://hachyderm.io/deck/@dave_andersen/111579107766689328
github with some really crappy rust code: https://github.com/dave-andersen/boiler
The boiler control is the fun one but it's not entirely embedded stuff. Runs a little control loop that turns down the boiler modulation based upon the difference between target and current temperature. Improves operating efficiency by a fair bit and reduces temperature swings. Makes me wish residential HVAC systems were more sophisticated - these are things any good industrial control system can do.
Made an "ok to wake" light for my son -- added a controllable LED strip to his clock with a pico-w in it that changes from orange to multicolored at 6:30am as a non-intrusive "yes, you can come bug your parents" signal.)
https://hachyderm.io/deck/@dave_andersen/112091315519210298
hyelicht
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Ask HN: What have you built with ESPHome, ESP8266 or similar hardware
My goals to release source and docs a la https://github.com/eikehein/hyelicht got waylaid by the ultimate DIY project of having a baby in November, but I will try to get it done this year!
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The Broadway Windowing System
Qt supports this too:
https://doc.qt.io/qt-5/webgl.html
I've used this to let friends on IRC paint on my LED shelf (https://github.com/eikehein/hyelicht), which has a Qt-based embedded GUI, over the internet. Cheap fun!
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The IKEA-powered homelab on a wall
IKEA hacks, of course! https://github.com/eikehein/hyelicht/
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Apple is reportedly spending ‘millions of dollars a day’ training AI
7. Add the sensor event and memory system described above
There's a few other tricks. To improve the audio capture, I take note of spatially where the hot word is detected (i.e. which mic in the array gets the best signal) and then capture the rest & perform the silence detection with a corresponding bias.
This is actually done in a distributed fashion over the network, so if two of the AI speakers hear the same command, only one of them will end up processing it.
They end up making mainly HTTP calls to APIs that already exist around my house. I have a second RasPi in my LED shelf (another old project, https://github.com/eikehein/hyelicht/) that doubles as a Philips Hue bridge with a zigbee dongle. That's what the DIY AI speakers interact with when making changes to the lighting.
I will say: Depending on the user command and the weather in the cloud, it's pretty slow. I've tried my best to optimize the client side for perceived user latency, but there's no way around the GPT-4 API just being pretty slow. And 3.5-turbo just doesn't cut it for what I'm trying to do.
I'd like to get all of this of the cloud entirely. I predict the next generation of my home NAS will have a GPU in it and try to run things like fine-tuned llama2 for the home.