Grey Water Toilet Helps Keep You Flush

The average first world household swims in an ocean of non-potable water from things like HVAC condensation, shower drains, and periods of rain. All of it just goes to waste. These same households pay the city to deliver drinkable water to places that don’t need it, like the toilet tanks. Isn’t it time to put all that perfectly good grey water to use? With a zero city water toilet, you can give that slightly-used H₂O one last hurrah before flushing it down the drain.

When the toilet is flushed, an ultrasonic sensor in the toilet tank monitors the change in water level and triggers a pump to fill the toilet back up from a barrel in the basement. A clear plastic tube inserted into the toilet tank does double duty as both the water source and tank overflow drain point.

The 55-gallon plastic barrel in the basement collects water from both a shallow well and condensation from [nodemcu12ecanada]’s gas furnace. A NodeMCU controls the 12V submersible pump to send water up to the toilet, and another ultrasonic sensor monitors the water level in the barrel.

This setup doesn’t require changes to any of the existing plumbing, and reverting back is easy. We particularly like the use of phone plugs and jacks as quick connectors, and will likely steal the idea. You can get more information about this and [nodemcu12ecanada]’s other home-automation projects here.

A Solar-Powered Box Of Sensors To Last 100 Years

It’s a simple goal: build a waterproof box full of environmental sensors that can run continuously for the next century. OK, so maybe it’s not exactly “simple”. But whatever you want to call this epic quest to study and record the planet we call home, [sciencedude1990] has decided to make his mission part of the 2019 Hackaday Prize.

The end goal might be pretty lofty, but we think you’ll agree that the implementation keeps the complexity down to a minimum. Which is important if these solar-powered sensor nodes are to have any chance of going the distance. A number of design decisions have been made with longevity in mind, such as replacing lithium ion batteries that are only good for a few hundred recharge cycles with supercapacitors which should add a handful of zeros to that number.

At the most basic level, each node in the system consists of photovoltaic panels, the supercapacitors, and a “motherboard” based on the ATmega256RFR2. This single-chip solution provides not only an AVR microcontroller with ample processing power for the task at hand, but an integrated 2.4 GHz radio for uploading data to a local base station. [sciencedude1990] has added a LSM303 accelerometer and magnetometer to the board, but the real functionality comes from external “accessory” boards.

Along the side of the main board there’s a row of ports for external sensors, each connected to the ATmega through a UART multiplexer. To help control energy consumption, each external sensor has its own dedicated load switch; the firmware doesn’t power up the external sensors until they’re needed, and even then, only if there’s enough power in the supercapacitors to do so safely. Right now [sciencedude1990] only has a GPS module designed to plug into the main board, but we’re very interested in seeing what else he (and perhaps even the community) comes up with.

Picking The Right Sensors For Home Automation

Imagine that you’re starting a project where you need to measure temperature and humidity. That sounds easy in the abstract, but choosing a real device out of many involves digging into seemingly infinite details and trade-offs that come with them. If it’s a low-stakes monitoring project, picking the first sensor that comes to mind might suffice. But when the project aims to control an AC system in an office of temperature-sensitive coders, it pays to take a hard look at the source of all information: the sensor.

Continuing a previous article I would like to use that same BMaC project from that article as a way to illustrate how even a couple of greenhorns can figure out how to pick everything from environmental sensors to various actuators, integrating it into a coherent system that in the end actually does what it should.

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Hexagrow Robot Packs A Serious Sensor Package

Automation is a lofty goal in many industries, but not always straightforward to execute. Welding car bodies in the controlled environment of a production line is relatively straightforward. Maintaining plants in a greenhouse, however, brings certain complexities due to the unpredictable organic processes at play. Hexagrow is a robot that aims to study automation in this area, developed as the final year project of [Mithira Udugama] and team.

The robot’s chassis is a very modern build, consisting of carbon fiber panels and 3D printed components. This kind of strength is perhaps overkill for the application, but it makes for a very light and rigid robot when the materials are used correctly.

Testing soil pH isn’t easy, but Hexagrow is up to the challenge.

It’s the sensor package where this build really shines, however. There’s the usual accoutrement of temperature and humidity sensors, and a soil moisture probe, as we’d expect. But there’s more, including an impressive soil pH tester. This involves a robotic arm with a scoop to collect soil samples, which are then weighed by a load cell. This is then used to determine the correct amount of water to add to the sample. The mixture is then agitated, before being tested by the probe to determine the pH level. It recalls memories of the science packages on Mars rovers, and it’s great to see this level of sophistication in a university project build. There’s even a LIDAR mounted on top for navigation purposes, though it’s not clear as to whether this sensor is actually functionally used at this point in development.

Plants can be demanding of their caretakers, so perhaps you’d best check you’re measuring your soil moisture correctly? Video after the break.

[Thanks to Baldpower for the tip!]

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Dual Sensor Echo Locator Gives High Accuracy At Low Cost

Infrared certainly has its uses, but if you’re trying to locate objects, ultrasonic detection is far superior. It’s contact-less, undetectable to the human ear, and it isn’t affected by smoke, dust, ambient light, or Silly String.

If you have one ultrasonic sensor and a microcontroller, you can detect plenty of useful things, like the water level in a rain barrel or the distance traveled by a tablet along a rail. If you have two sensors and a microcontroller, you can pinpoint any object within a defined range using trigonometry.

[lingib]’s dual sensor echo locator uses two HY-SRF05s, but the cheap and plentiful HC-SR04s will work, too. Both sensors are arranged for maximum beam overlap and wired up to an Arduino Uno. One sensor’s emitter is blocked with masking tape, so all it does is listen.

When the system registers the object, it shows up as a red dot on a grid inside a Processing sketch along with a bunch of details like the object’s coordinates, its distance from each sensor, and the area of the triangle formed by the two sensors and the object. [lingib] reports that the system is quite accurate and will work for much larger playgrounds than the 1 meter square in the demo after the break.

Don’t want to detect objects? Ultrasonic sensors are cheap enough to hack into other things, like this one-way data communications module.

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Hackaday Prize Entry: Water Level Station

All over the world, in particular in underdeveloped countries, people die every year by the thousands because of floods. The sudden rise of water levels often come unannounced and people have no time to react before they are caught in a bad spot. Modern countries commonly have measure equipment deployed around problematic areas but they are usually expensive for third world countries to afford.

[Benne] project devises a low-cost, cloud-connected, water level measuring station to allow remote and central water level monitoring for local authorities. He hopes that by being able to monitor water levels in a more precise and timely fashion, authorities can act sooner to warn potentially affected areas and increase the chance of saving lives in case of a natural disaster.

At the moment, the project is still in an early stage as they are testing with different sensors to figure out which would work best in different scenarios. Latest version consists essentially in an Arduino UNO, an ultrasonic distance sensor, and a DHT temperature/humidity sensor to provide calibration since these characteristics affect the speed of sound. Some years ago, we covered a simple water level monitoring using a Parallax Ping sensor, but back then the IoT and the ‘cloud’ weren’t nearly as fashionable. They also tested with infrared sensors and a rotary encoder.

They made a video of the rotary encoder, which we can see below:

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Vinduino: Full Irrigation With 25% Less Water

Irrigation is a fairly crude practice. Sure, there are timers, and rain sensors, but all in all we’re basically dumping water on the ground and guessing at the right amount. [Reinier van der Lee] wanted a better way to ensure the plants in his vineyard are getting the right amount of water. And this is Goldilocks’ version of “right”, not too little but also not too much. Southern California is in an extreme/exceptional drought. Water costs a lot of money, but it is also scarce and conservation has a wider impact than merely the bottom line.

His solution is the Vinduino project. It’s a set of moisture sensors that work in conjunction with a handheld device to measure the effect of irrigation. Multiple moisture sensors are buried at different depths: near the surface, at root level, and below root level. This lets you know when the water is getting to the root system, and when it has penetrated further than needed. The project was recognized as the Best Product in the 2015 Hackaday Prize, and [Reinier] presented the project during his talk at the Hackaday SuperConference. Check out the video of that talk below, and join us after the break for a look at the development of this impressive product.

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