When it comes down to energy management, having real-time data is key. But rarely is up-to-the-minute kilowatt hour information given out freely by a Utility company, which makes it extremely hard to adjust spending habits during the billing cycle. So when we heard about [Jon]‘s project to translate light signals radiating out of his meter, we had to check it out.

From the looks of it, his hardware configuration is relatively simple. All it uses is a TSL261 Light-to-Voltage sensor connected to an Arduino with an Ethernet shield attached. The sensor is then taped above the meter’s flashing LED, which flickers whenever a pulse is sent out indicating every time a watt of electricity is used. His configuration is specific to the type of meter that was installed by his Utility, and there is no guarantee that all the meters deployed by that company are the same. But it is a good start towards a better energy monitoring solution.

And the entire process is documented on [Jon]’s website, allowing for more energy-curious people to see what it took to get it all hooked up. In it, he describes how to get started with MQTT, which is a machine-to-machine (M2M)/”Internet of Things” connectivity protocol, to produce a real-time graph, streaming data in from a live feed.

Now, with all this valuable information, other applications can be built on top of it. Interfacing with something like the Pinoccio microcontroller system can allow for devices to be turned off during peak-power times, helping to reduce the billing price at the end of the month.

Energy-intelligence platforms like this assist in conserving electricity while keeping the rate-payer consistently informed of their power usage habits. A real win, win. However, we still need to figure out how to (legally) extract the data from other types of meters.

One example is to harvest the information wirelessly with a special USB dongle to gather the data emitting from the Utility meter. But this only works for that brand of meter. Another solution is to read infrared flashes with an AVR, a resistor, a capacitor, and a phototransistor, which is similar to what [Jon] created above.

So, what kind of meter do you have? And, do you think there is a better way to extract the kWh data? Let us know in the comments, and let’s see what we can come up with.

Let’s be honest. Paying electricity bills sucks. The amount paid is always too much, and the temperatures in the building are rarely set at a comfortable level. But now, with the help of this DIY Climate Control system, power-users can finally rejoice knowing that the heating and cooling process of their home (or commercial space) can be easily controlled through the utilization of an XBee Remote Kit and a process called zoning.

The team behind the project is [Doug], [Benjamin] and [Lucas]. They hope to solve the inconsistent temperature problems, which are caused by a moving sun, by open-sourcing their work into the community.

Their XBee system runs on a mesh network making it a perfect tool for sensing and communicating which areas in the house are too hot or too cold. Once the data is collected, XBee modules route the information wirelessly to each other until it reaches a central Arduino gatekeeper; which then decides if it wants to heat, ventilate, or air condition the room.

Not to mention all the added benefits posted below:

For one, you can hook-up temperature ICs like the TMP36 (PDF) without the need to buy extra parts. Better yet, the XBee can be programmed to fall asleep thus saving battery life. This means that the whole module can run on rechargeable AAA batteries.

Even further, it can be coded at its various ports to read other devices. This is great because it gives the setup the potential to turn on and off devices that are hooked to the module, transforming it into a networked hub of interconnected devices.

This approach not only allows you to be involved in saving the planet, but it keeps your home, warehouse, or office building at a much more comfortable level in the process, a real win-win.

The project featured in this post is an entry in The Hackaday Prize. Build something awesome and win a trip to space or hundreds of other prizes.

In the near future, we will all reside in households that contain hundreds of little devices intertwingled together with an easily connectable and controllable network of sensors. For years, projects have been appearing all around the world, like this wireless sensor system that anyone can build.

[Eric] hopes his work will help bring the truly expansive Home-Area-Network (HAN) into fruition by letting developers build cheap, battery-powered, long-range wireless sensors. His method integrates with the pluggable OSGI architecture and home automation platform openHAB along with using an Arduino as the lower power, sensor node that is capable of utilizing many types of cheap sensors found online.

[Eric]’s tutorial depicts a few examples of the possibilities of these open-source platforms. For instance, he shows what he calls a ‘Mailbox Sentinel’ which is a battery-powered mail monitoring device that uses a Raspberry Pi to play the infamous, and ancient AOL sound bite “you’ve got mail.” It will also send an email once the postman cometh.

In addition, he lists other ideas such as a baby monitoring sentinel, a washer/dryer notification system, water leak detectors, and security implementations that blast a loud alarm if someone tries to break in. All of this potential for just around $20.

The key to making this project work, as [Eric] states, is the MQTT binding that ties together the Ardiuno and openHAB platform. This allows for simple messages to be sent over the Ethernet connection which is often found in IoT devices.

So all you developers out there go home and start thinking of what could be connected next! Because with this system, all you need is a couple of ten-spots and an internet plug, and you have yourself a strong foundation to build on top of. The rest is up to you.

This open, connected device is [Eric's] entry for The Hackaday Prize. You can see his video demo after the break. We hope this inspires you to submit your own project to the contest!

Some people really love their smoothies. We mean really, really, love smoothies and everything about making them, especially the blenders. [Adam] is a big fan of blenders, and wanted to verify that his Vitamix blenders ran as fast as the manufacturer claimed. So he built not one, but two speed measuring setups. Scientific blender measurement method requires one to cross check their results to be sure, right?

Measuring the speed of a blender is all about the RPM. Appropriately, [Adam's] first measurement tool was an LED based stroboscope. Stroboscopes have been around for hundreds of years, and are a great way to measure how fast an object is rotating. Just adjust the speed of a flashing light until the rotating object appears frozen. The number of blinks per second is then equal to the Rotations Per Second (RPS) of the object being measured.Multiply by 60 seconds, and you’ve got RPM. [Adam] used an Arduino as the brains behind his stroboscope. He wired a dial up on his breadboard, and used it to adjust the flash rate of an LED. Since this was a quick hack, [Adam] skipped the display and just used the Arduino’s USB output to display speed measurements on his laptop.

There are possibilities for error with stroboscopes. [Adam] discovered that if the stroboscope was flashing at a multiple of the blade’s rotation speed, the blades would appear frozen, and he’d get an erroneous RPM value. Thankfully, [Adam's] Vitamix had asymmetric blades, which made the test a bit easier. He calculated his blades to be spinning at 380 RPS, or 23,000 RPM. Not satisfied with his results, [Adam] brought out Audacity, and ran a spectral analysis of the blender in operation. He found a peak at 378Hz, which was pretty darn close to his previous measurement. Since the blender has a 4 inch blade this all works out to a blade tip speed right around the claimed value of 270 MPH. We’re glad [Adam] found an answer to his blender questions, but our personal favorite blender hack still has to be the V8 blender created by the Top Gear crew.   [via HackerNews]

When it comes to home automation, there are a lot of different products out there that all do different things. Many of them are made by different companies, and they don’t often play very well together. This frustration ultimately led [Daniel] to develop his own Python based middleware solution to get these various components to work as a single cohesive system. What exactly did [Daniel] want to control?

First up was the door lock. [Daniel] lives in an apartment building, so there are actually two locks. First, a visitor must be allowed into the building by pressing a button on the intercom system in the apartment. Second, the apartment door has its own dead bolt lock that needs to be opened and closed. [Daniel] was able to control the building’s front door using just a transistor hooked up to an Arduino to simulate the press of the physical button. The original button remains in tact so [Daniel] can still easily “buzz” in a visitor.

The apartment’s dead bolt was a bit trickier. There are off-the-shelf solutions to control a dead bolt, but they are often expensive. [Daniel] built his own solution using a simple servo motor bolted to the door. The servo is controlled by the Arduino which is in turn controlled via two broken intercom buttons that already existed within the apartment. The buttons were originally used to either speak to or listen to a visitor before buzzing them into the building. They had never worked for [Daniel] so he re-purposed them for his own project. The whole DIY door locker is enclosed in a custom-made laser cut wooden box.

Click past the break for the rest of [Daniel's] story.

When it comes to lighting, [Daniel] has a couple of different brands of automated light bulbs in his apartment. One brand has bulbs that are controlled by a radio frequency signal. That brand comes with a converter box that can accept lighting commands via WiFi. It also uses a simple API that allowed [Daniel] to easily control all of the bulbs from his Python code. The second brand of light bulb did not have a simple API. After some searching around, [Daniel] found an open source project called ouimeaux. Ouimeaux is a Python library that allows you to control this particular brand of automated light bulbs. This was perfect for [Daniel] since he was already using Python in his project. With this library it was trivial for him to control the lights from his web interface.

As a proof of concept, [Daniel] also built a custom WiFi enabled power outlet using a SparkCore module. He has an entire separate post dedicated to that project.

For the brain of the system, [Daniel] chose to use a Raspberry Pi. The Pi runs a web server with a Flask based back-end system. Flask allows him to code the website in Python, which meant he could easily write a website that can interact with the various automation components. The Pi can directly communicate with all of the off-the-shelf components using the various Python libraries. For the door lock, the Pi communicates with the Arduino via pySerial. [Daniel] also used Flask OAuth to limit access to the system to only authorized users. Now whenever [Daniel] wants to turn the lights on or unlock the door for a visitor, all he has to do is press a button on a web page.

[via Reddit]

This project by Greg is about building a smart litter box for his cats:

We have three cats and the litter is difficult to control. So I had been thinking through a project to build an enclosure. Once I stumbled on Arduino the doors of opportunity were opened. I ordered the electronics and got started on my project right away. So far the Arduino is activating exhaust fans, lightng, and a Lysol spray dispenser. It tracks the number of times the fans are activated and uses a piezo buzzer to alert a filter cleaning. I plan to use it to trigger cleaning based on usage and track each cats potties so we can control their stink before its too late.

A nice video about this project can be found on YouTube.

In and of itself this mobile chicken coop is a pretty nice build. There are some additional features lurking inside which you don’t find on most coops. [Neuromancer2701] built-in a set of sensors which can be accessed wirelessly. It makes it a snap to check up on the comfort of the hens without leaving the couch.

At the heart of the sensor system is an Arduino along with an Xbee module. The build isn’t quite finished yet, but so far three sensors have been implemented. A thermistor is used to read the temperature inside the coop. To make sure there’s enough water, two sheets of foil tape were applied to the water reservoir. The CapSense library measures the capacitance between these plates which correlates to the water lever (we’ve seen this type of water level sensor before). And finally, there’s a sensor that can tell if the door to the coop is open or shut.

He’s having trouble automating the door itself. This can be pretty tricky, especially if you go for a super complicated locking mechanism like this one.

Kudos go out to [Jose] for his work getting so many different components to talk to each other in this Arduino weather station that using a Raspberry Pi to display the data online.

The components shown above make up the sensor package. There’s an Arduino with a custom shield that interfaces the barometric pressure sensor, real-time clock chip, a digital temperature sensor, and a humidity sensor. On top of that shield is an XBee shield that lets this push data back to the base station. [Jose] also rolled in an LCD character display and a few buttons so that the user may view weather data without heading to the web.

A Raspberry Pi board makes up the other half of the XBee pair. It harvests the incoming data from the radio module using a USB to Serial converter cable. You can see the data log on the webpage linked above. Just choose the “LIVE” menu option and click on “Daily” to get a better overview of humidity and pressure changes.

Have you ever wanted a smart home that can automatically adjusts the blinds for you? If so, this project is for you.

In this instructable, the author describes his approach to “smart blinds”, by using an Arduino board, an ethernet shield, a motor shield and a couple of sensors.

By means of a simple web-based GUI, the user can manually open and close the blinds, or he/she can setup both temperature and brightness thresholds in order to automate the whole process. Finally, opening and closing events can also be scheduled at pre-defined times of the day, if necessary.

The complete tutorial, together with the source code of the project, can be found here.

[Via: Instructables and Lifehacker]

Even if you live in a dump this quick build will make your doorbell sound high-class. The new rig uses a crystal goblet to alter you of guests at the door. We suppose the room-silencing sound of flatware on a wine glass does make a great attention getter.

For [Tobias] the hardest part of the build was getting his wife to sign off on it. But he says the 1970′s era original was looking pretty shabby, which kind of made his argument for him. It took just two hours to develop and install the replacement. It uses a servo motor with an articulated striker to ping the glass which is hanging inverted between two pegs. The original AC transformer (which are most often 16V) was used to power the Arduino. He built a simple rectifier along with a big smoothing capacitor to make sure the Arduino doesn’t reset when voltage dips. Although it’s not mentioned in his comments, we’d bet the doorbell wire has been rerouted to connect directly to the Arduino, rather than remain patched into the power loop.

Don’t miss the clip after the break to hear how great this thing really does sound.