Some friend of a friend was over a few months ago (before the quarantine) and saw my Galileo Thermometer and explained to everyone how he thought it worked. He was wrong. So I figured, ok the world needs a better explanation of how these these things work. So I made this video.
The force balance on each float is gravity down, buoyancy up. The mass and volume (and therefore the density) of each float does not change as a function of temperature. The density of the clear surrounding fluid does go down with temperature. Because of this, the mass of clear fluid displaced does go down with temperature, and so the buoyant force does decrease as it heats up. When the upward force decreases, the floats drop down as gravity takes over.
To prove it, I made this video where you can clearly see the clear fluid rising as the thermometer heats up.
I happened upon a polar sun path chart a while back and really thought it was a great graphic. It shows where the sun goes each day as a function of the seasons. Behold:
For Seattle, you can see at the top that the sun rises in the SE, peaks at 20° above the horizon, and then sets at 4:30pm on the winter solstice. Ugh. But in the summer, it’s up from before 4am to after 8pm, and peaks above 60° . You can make one of these plots for your area over at the University of Oregon’s Solar Radiation Monitoring Lab.
I liked this plot so much that I wanted to take it to the next level and see where the sun is live. In my experience with Python, I’ve grown to expect there to be sweet libraries that can compute stuff like that. Sure enough, there are a few. First, I found pysolar, which is really straightforward, fast, and simple. A few lines of code and I was up and running.
I’ve got one of those hydronic home heating systems where hot water from the hot water heater gets pumped to radiators around the house in addition to heating up water for faucets. A few days ago it died on me and threw an error code indicating something was wrong with ignition. I took a look at the igniter and found that it was full of an oxide layer.
After sandpapering it, it worked great, but I ordered a spare for when this inevitably happens again. Along the way, it occurred to me that it’d be kind of fun to have instrumentation on my hot water heater. I just got it up and running.
Way back in my first post about hot tubs, I used OneWire sensors called Dallas 18B20s (datasheet) with an Arduino 2009. They worked great at hot water temperature, so I decided to try them out again. This time, rather than using an Arduino, I’m using a ESP8266 microcontroller. These are cheap and have Wi-Fi, so I can easily get the data into my home assistant setup, just like I did with my mom’s furnace, my doorbell, and other stuff.
Step one is to solder a bunch of sensors together. I wanted to get readings on all the different pipes going into and out of my hot water heater. I went down there and measured how much space I’d need between each sensor. Then I soldered them up. Notably 18B20s can work in “parasite mode” with just two wires, but there are problems with parasite mode on ESP8266’s, and in prototype testing I was unable to get that mode to work. So I just wired them up to 3 wires. This tutorial is a good one for wiring up these sensors.
I live in tall and skinny house with a loft on the upper floor. I can’t hear the doorbell going off when I’m up there, especially if I have music playing. This post is about how I extended the range of my doorbell by hooking a sensor up to it that communicates over Wifi to my smart-home, which then plays a doorbell tone over my speakers throughout the house.
I already have a reasonably capable smart home based on Home Assistant, so I challenged myself to do this in the cheapest, least intrusive way possible. In the end, I did this with a $7 part and without changing any of the wiring in my existing doorbell (I just had to connect 2 extra wires to the existing transformer).
A teaching fellow at the University of Michigan once asked me if I could provide some career advice to her nuclear engineering students. I started off with basic industry knowledge but soon came upon computers. When hiring people onto a computational physics team, I always expect a certain level of computer-savvy. But it occurred to me that it’s probably challenging for a young student to catch up on all the classic computer goodies. So I wrote a book about them.
Digital Superpowers hit the shelves of Amazon as an e-book tonight. It covers a bunch of open-source tools in an informal and broad tour, starting simple and building from there. It covers a few computer basics and introduces you to package managers before delving into short and sweet hands-on follow-alongs (and sometimes just drive-bys) with virtual machines, regular expressions, pdf toolkit, TOR, GnuPG encryption, LaTeX, Sphinx, pandoc, graphviz, Imagemagick, GIMP, Inkscape, darktable, Blender, Openshot, Audacity, LMMS, Hydrogen, Mixxx, git, Python, Django, Home Assistant, ESP8266s, Raspberry Pis, and self-hosting (among others).
It’s that spooky time of year again, but this time it can be extra spooky with the help of home automation.
Motion-activated jumpscare on TV
One classic spooky thing to do is have a TV do something scary when people walk by. This is easier than ever on any TV now that everyone has Raspberry Pi with HDMI output and z-wave (or other) motion sensors everywhere. Check this out:
I’ve been trying to get some Django stuff running that can securely authenticate users against Windows Active Directory and also populate some info (first/last name, email address, maybe groups etc.). There are lots of resources out there but nothing was fully complete or modern and it took me some figuring/hacking to get it done.
Resources I found include:
django-auth-ldap — the normal LDAP plugin. Problem: It does not natively support SASL and simple binds would send clear-text passwords. I think normal people would just activate TLS in this case but I didn’t want to do that
This may be a coincidence but about a week after I got new motorcycle gloves, my Oxford Heater grips started like, deteriorating away. Check this out:
It has been hot recently, but this is still very odd. I got these Street & Steel V-74 gloves from RevZilla. Maybe it’s the Gel Palm leaking out and reacting with the grips? Who knows. Anyway it’s sticky and gross and annoying. Poor Oxford Heaters, I love those things.
NOTE/UPDATE: After an update this kind of stopped working and I struggled with it a lot. Now I actually recommend using snapcast instead of this solution. It works better!
I moved to a new place and it has more than one room. Naturally, I hooked up the stereo in the living room and tested it like my dad taught me: by playing “Money For Nothing” really loudly. It worked. But wait a minute, there’s an upstairs now… how will I get it playing up there? I could always use the wifi network and raspberry pis to beam audio around. Yeah, let’s do that!
One of my first memories is a vision of lying near my dad in the basement in the mid-1980s while he endlessly soldered away at some big project. Later, I spent a lot of my childhood messing around with the product he was assembling: a Hero Jr. robot. This was a educational personal robot, intended to be your “friend, companion, and security guard.” Here he is:
Hero Jr. has a sonar, infrared motion sensor, light sensor, sound sensor, radio-frequency remote, drive motor, obstruction sensor, and a RS-232 serial port. His out-of-the-box features included a security guard mode, alarm clock, poetry, singing, and (my favorite) the ability to explore around the house, often while singing America, Daisy Bell, or Little Miss Muffet.
With all the AI voice assistants around today there are lots of interesting applications people are dreaming up. Here’s another one.
You could set your voice assistant on the table and start having a discussion or debate that inevitably involves bringing up facts about news or history or how something works. A lot of times when someone doubts what was said a phone will come out to do some fast wikipediaing or other searching. If a AI could somehow either know or be triggered to check something, that’d be an interesting new dynamic to the conversation. It could do things like:
Correct misquotes and other slight error in the discussion, e.g. “Actually, the NOAA temperature data were corrected in 1950 because the volunteer network switched from morning readings to afternoon readings.”
Fill in details about a headline someone read (person: “Didn’t I read a headline about radiation dose in beagles?”, AI: “The recent UC Davis study shows a correlation between dose rate and lifespan.”)
Look up details and say them when they’d help
It’d have to be a really smart AI to know when its utterances would be useful in a dynamic conversation. It could start by just lighting up when it thinks it has something to contribute and people could allow it to chime in, rather than having it chime in only when someone wakes it. Then eventually once it’s smart enough it could chime in on its own. The future is fun.
If you have a digital video recorder (DVR) hooked up to some cameras and you want to access it remotely when something happens, you can set up remote access to review things from wherever. Here’s how to do it.
I got super excited about the prospect of helping with this and knew that with a combination of things I’ve used before it would be really doable. The plan was to have a webserver accept messages from a form and transmit them to a Raspberry Pi (cheap mini-computer), which would then flip pins on a relay to blink the light, like this:
After many emails and some ups and downs, everything worked! This really feels like how the internet is supposed to work.
Thanks entirely to the efforts of local climate-related organizations in Seattle, I’ve now spoken at a handful of book stores, breweries, universities, and even Town Hall on climate and energy. Last week, I was honored to be on one such panel at a brewery in Ballard alongside Univ. of Washington oceanographer LuAnne Thompson and Governor Inslee’s senior climate policy advisor, Reed Schuler. My role was to provide background information on the human relationship with energy: what we’ve used in the past, what we’re using today, and what our low-carbon options are moving forward. I touched on progress and challenges with intermittency, hydro, and nuclear. This post summarizes and expands upon these topics.
Energy is a replacement for the labor of human beings
The first part of my talk was easy. I threw up my favorite slides demonstrating how energy improves quality of life by replacing human labor. Between construction, farming, heating, water, laundry, and travel it’s a pretty easy case to make.
So in the continuing saga with my mom’s home-automated furnace, it got extra cold recently and I noticed it wasn’t getting up to temperature in time for her to wake up. I figured I could come up with a formula to compute the time needed to come to temperature and turn on the furnace at a dynamic time in the morning so it’d be just right.
Deep learning takes advantage of certain graphics processors (GPUs) to be efficient. If you take the course, it’s recommended that you sign up for an Amazon Web Services machine with an appropriate GPU so you can just run the provided setup scripts and be on your way learning deep learning. But you may want to try to get everything set up on your own machine if you happen to have one. I just built a small server and added a modest GPU just for this purpose so I figured I’d give it a whirl. This is how I did it.
You know how some airplanes can get their gas filled up while in the air by tankers (aerial refueling)? And how ships at sea do this too (underway replenishment)? And you know how self-driving cars and trucks are taking over everything soon? Well there’s going to be a need for mobile gas stations on the road.
Think of it! Long-haul trucking will want to go non-stop, and to do so there can be little sections of road where a tanker truck drives alongside the main truck, hooks up a hose, and refuels it for 10 minutes while everyone’s moving. Then the self-driving truck carries on and the tanker truck crosses the road, services a truck going in the other direction, and repeats until it eventually has to fill up from a bigger tank nearby.
Another manifestation is a thing on a long rail that refuels you as you drive alongside it. The hose could be on a sliding coupler that maintains a hermetic seal.
This could happen with passenger vehicles too. Presumably people will hop in their cars at night and expect to wake up in Florida the next day so they’re going to need automated gas refilling as well. Ideally this would be underway but I guess if gas stations could just fill up cars that roll in that’d be acceptable too. It will be more comfortable and less disturbing if this happens while on the road though.
That’ll be a billion dollar industry soon. If they’re electric cars, these will be charging stations instead of refueling stations.
I decided I wanted a network-attached storage (NAS) server because I needed some central and safe place to put all my big files. I’ve been using more and more hard drive space because I’ve been taking photos in RAW and collecting more digital video (camera, dashcam, digitized home videos from the 1990s, and drone). I also just enjoy fiddling with servers and stuff and thought I could use a home server for a variety of other things. My raspberry pi has been doing well for my home automation but a bigger server might make it faster. I’m trying to learn Blender and have been eyeing a Machine Learning course. Both of those require a nice modern GPU. Finally, I just enjoy learning things about computers.