Sorry I'm late to the party.
I'd like to help out around here, as I'm in the same boat. Assembling a new rig, and planning on using a pi to keep things in check. Here are a couple of thoughts I had when ripping through the pages:
- There is a One-Wire patch for the rPi, as helibrewer pointed out. This will allow you to use the GPIO pins on the board to poll the bus, as well as freeing up a USB port. It is too late for Brewman !, but it could save future readers $17 for the USB adapter. Furthermore because it is exposed at the kernel level as a file handle you can use epoll/select type programming to watch levels without having to busy wait your CPU or riddle it with sleep(1) s
- I rolled my own temperature sensors. I picked up some DS18B20s and some 'protection tubes' from http://www.brewershardware.com/Straight-Tubes/
. I then used some binary thermal adhesive from Arctic Silver (http://www.arcticsilver.com/arctic_s...l_adhesive.htm
) to seat the sensors in the end. Testing against a Spectrum industrial sensor I was 0.2 degrees off at 70 Celsius. Considering that is the error tolerance for the 'industrial' sensor at that point, it was good enough for me.
- Those Canvas Steel gauges are sexy. Thanks jimmayhugh, I will be using those in the future. Yes, I think that visualizing data can be sexy.
- I agree with Yorg, use python. It's a bloody elegant language, and most of the libraries are written in python themselves, so no problems porting to the ARM processors on the rPi
- I agree with Brewman ! that a full LAMP stack is way overkill for this purpose. I do like pyWeb, although there seems to be more web servers these days than there are homebrewers. I personally like making the clients do most of the heavy lifting which means that all you provide is static HTML/JS/CSS and then serve up data on demand. I'm not even sure you need to venture outside of Python; you could use the built in SimpleHTTPServer to watch port 80, serve up static files and data and then use the built in pickle as a super simplistic 'database' of historical information. If you can keep your external requirement to just Python, it keeps installation (and customization) very easy.
Let's keep the ideas rolling.