The modern social-networking fueled Internet loves two things more than anything: pets, and watching other people do stuff. There’s probably a scroll tucked behind a filing cabinet at Vint Cerf’s house that foretells anyone who can harness these two elements will gain control of the Internet Ready Player One style. If so, we’re thinking [Tyler Pearce] is well on his way to ascending the throne.
In an effort to make the Overwatch Twitch streams of his betrothed even more enticing, [Tyler] came up with a way for viewers to feed their dog Larry by dropping a command in the chat. There’s a surprisingly complex dance of software and hardware to make this reliable and visually appealing, but it’s worth it as showmanship is important in the brave new world of competitive e-sports. We’re assuming that’s what it says in the issue of ESPN Magazine with the Fortnite player on the cover, but nobody at Hackaday would qualify for a subscription to it so we don’t really know for sure.
A server running on the computer provides a slick administrative dashboard for the treat system, including a running log of who fed Larry and when. There’s also a number of checks in place to prevent too many treats being dispensed in a short time period, and to keep an individual from spamming the system.
On the hardware side, he’s using two NodeMCU ESP8266 microcontollers connected to a local MQTT broker: one to handle the lighting and one to run the 3D printed auger that actually pushes the food out. The printed auger is powered by a standard hobby servo, and even includes an IR sensor to automatically stop spinning when it detects a treat has been dispensed. [Tyler] reports the auger works quite well, though does have a tendency to jam up if overfilled.
We’re living in the world of connected devices. It has never been easier to roll your own and implement the functionality you actually want, rather than live with the lowest common denominator that the manufacture chose.
In a previous article I walked though a small python script to talk to a BLE light and used it to cycle through some colors. Now I want to delve deeper into the world of Internet Connected BLE devices and how to set up a simple Internet-Of-Things light. With this example in hand the sky’s the limit on what you can build and what it will be able to do.
Join me after the break as I demonstrate how to use NodeJS to bridge the digital world with the physical world.
Pools have come a long way. It used to be you had a pump and if you were lucky it had a mechanical timer switch on it. That was it. Now you have digital controllers and spa jets and heaters. You can even get them that connect to your home automation system. If your pool isn’t new enough to do that already, you can get a range of add-on accessories. For a price. [Rob] paid $500 to get a remote for his pool. It wasn’t even WiFi, just a simple RF remote. In 3 years, the transmitter had burned out ($300 to replace) and he decided he had enough. For $20, [Rob] added MQTT control and monitoring to his pool using an ESP8266. You can see the video description of the project below.
Naturally, the instructions are a bit specific to the Pentair system he has. However, it isn’t as specialized as you might think. The project relies on the connection for a wired “spa-side remote” that most modern pool systems support. The electrical connections for these aren’t quite standard, but they are all very similar, so you have a good chance of reproducing this for your setup assuming you have a connection for one of these wired remotes.
Over the past few years, Reddit user [callingyougoulet] has created Boozer, a DIY beer dispenser that keeps track of how much of your brew you have left in your kegs. Installed in a Keezer (a freezer that contains beer kegs and faucets) [callingyougoulet]’s dispenser uses a Raspberry Pi to keep track of things. A series of flow sensors determine how much liquid has passed through them and, when the drink is poured, can calculate how much you poured and how much you have left.
Starting with a chest freezer, [callingyougoulet] built a nice wooden surround as well as installed a tower on top to hold the faucets. The top of the freezer has nice granite tiles covering it, and some LED accent lighting adds to the end product. However, taking the granite off in order to get at the kegs inside takes some time (about 20 minutes.)
Inside the freezer is the Raspberry Pi and four flow sensors, each one connected to a GPIO port on the Pi. After some calibration, the Python code running on the Pi can calculate a pretty close estimate of the amount of liquid poured. There’s also a temperature sensor in the freezer, so that you can tell how cool your beer is.
If the build had stopped there, it would have been a great project as-is, but [callingyougoulet] added twitter, Slack and MQTT outputs as options, so that a home automation system (or the entire internet) can tell how much and when you’ve been drinking and, more importantly, you can know how much is left in your kegs! There are some very cool keg cooling builds on the site, such as, a kegerator built from the ground up, and a very elegant kegerator built on the cheap check them out for ideas!
It’s not something you often give a lot of thought to, but the modern consumer laptop battery is a pretty advanced piece of technology. Not only does it pack several dozen watt-hours of energy into a relatively small and lightweight package, but it features integrated diagnostic capability to make sure all those temperamental lithium cells are kept in check. Widely available and extremely cheap thanks to the economies of scale (unless you try to get them from the OEM, anyway), they’re a very compelling option for powering your projects.
Of course, it also helps if, like [teliot] you have a bunch of the things lying around. For reasons we won’t get into, he’s got a whole mess of Acer AL12x32 battery packs which he wanted to use for something other than collecting dust. He had the idea of hooking one up to a solar panel and using it as a power supply for some ESP8266 projects but wanted to be able to talk to the battery for status and diagnostic information. After studying the Smart Battery System (SBS) protocol the batteries use, he was able to come up with some code that lets him pull 37 separate fields of information from the pack’s onboard electronics using his ESP8266.
It took some fiddling with a multimeter to figure out which pin did what on the eight pin interface of the battery. Two of the pins need to be shorted to enable the dual 12 VDC pins to kick in. Technically that’s all you really need to do if you want to utilize the battery in a low-tech sort of way. But to actually get some information from the battery, [teliot] had to identify the two pins which are for the System Management Bus (SMBus) interface where the SBS data lives.
Once he knew which pins to talk to the battery on, the rest was fairly easy. SBS is well documented, and the SMBus interface is very similar to I2C. Like all the cool kids are doing these days, his code publishes the battery info to MQTT where he can plot it and get finely grained info on the performance of his solar power system.
When you think of world-changing devices, you usually don’t think of the washing machine. However, making laundry manageable changed not only how we dress but how much time people spent getting their clothes clean. So complaining about how laborious our laundry is today would make someone from the 1800s laugh. Still, we all hate the laundry and [Andrew Dupont], in particular, hates having to check on the machine to see if it is done. So he made Laundry Spy.
How do you sense when the machine — either a washer or a dryer — is done? [Andrew] thought about sensing current but didn’t want to mess with house current. His machines don’t have LED indicators, so using a light sensor wasn’t going to work either. However, an accelerometer can detect vibrations in the machine and most washers and dryers vibrate plenty while they are running.
The four-part build log shows how he took an ESP8266 and made it sense when the washer and dryer were done so it could text his cell phone. He’d already done a similar project with an Adafruit HUZZAH. But he wanted to build in some new ideas and currently likes working with NodeMCU. While he was at it he upgraded the motion sensor to an LIS3DH which was cheaper than the original sensor.
[Andrew] already runs Node – RED on a Raspberry Pi, so incorporating this project with his system was a snap. Of course, you could adapt the approach to lots of other things, as well. The device produces MQTT messages and Node – RED subscribes to them. The Pushover handles the text messaging. Node – RED has a graphical workflow that makes integrating all the pieces very intuitive. Here’s the high-level workflow:
You might wonder why he didn’t just have the ESP8266 talk directly to Pushover. That is possible, of course, but in part 2, [Andrew] enumerates some good reasons for his design. He wants to decouple components in the system for easier future upgrades. And MQTT is simple to publish on the sensor side of things compared to API calls which are handled by the Raspberry Pi for now.
It was only a matter of time. Everything else is getting its data logged and reported to the Internet for detailed analysis, so why should our rodents be any different? The cover story is that [Nicole Horward] hooked her pet hamster Harold up to the web because she wanted to see if he was getting as much exercise as he should. The real reason is, of course, that Harold wanted to show off to his “friends” on Hamsterbook.
The hardware side of this hack is very simple, a magnetic door sensor (like the kind used in alarm systems) is used to detect each time the wheel makes a complete rotation. The sensor is hooked up to the GPIO pins of a Raspberry Pi, where it’s read by a Python script. A small LCD screen was added to give some visual feedback on Harold’s daily activity, and the whole thing was boxed up in a laser cut enclosure.
That gave [Nicole] a cute little display next to Harold’s cage, but it didn’t do much for analyzing his activity. For that, a script is used to upload the data every minute to a ThingSpeak channel via MQTT. This automatically generates attractive graphs from the raw data, making it much easier to visualize what’s happening over the long term.