Building personal weather stations has become easier now than ever before, thanks to all the improvements in sensors, electronics, and prototyping techniques. The availability of cheap networking modules allows us to make sure these IoT devices can transmit their information to public databases, thereby providing local communities with relevant weather data about their immediate surroundings.
[Manolis Nikiforakis] is attempting to build the Weather Pyramid — a completely solid-state, maintenance free, energy and communications autonomous weather sensing device, designed for mass scale deployment. Typically, a weather station has sensors for measuring temperature, pressure, humidity, wind speed and rainfall. While most of these parameters can be measured using solid-state sensors, getting wind speed, wind direction and rainfall numbers usually require some form of electro-mechanical devices.
The construction of such sensors is tricky and non-trivial. When planning to deploy in large numbers, you also need to ensure they are low-cost, easy to install and don’t require frequent maintenance. Eliminating all of these problems could result in more reliable, low-cost weather stations to be built, which can then be installed in large numbers at remote locations.
[Manolis] has some ideas on how he can solve these problems. For wind speed and direction, he plans to obtain readings from the accelerometer, gyroscope, and compass in an inertial sensor (IMU), possibly the MPU-9150. The plan is to track the motion of the IMU sensor as it swings freely from a tether like a pendulum. He has done some paper-napkin calculations and he seems confident that it will provide the desired results when he tests his prototype. Rainfall measurement will be done via capacitive sensing, using either a dedicated sensor such as the MPR121 or the built-in touch capability in the ESP32. The design and arrangement of the electrode tracks will be important to measure the rainfall correctly by sensing the drops. The size, shape and weight distribution of the enclosure where the sensors will be installed is going to be critical too since it will impact the range, resolution, and accuracy of the instrument. [Manolis] is working on several design ideas that he intends to try out before deciding if the whole weather station will be inside the swinging enclosure, or just the sensors.
If you have any feedback to offer before he proceeds further, let him know via the comments below.
Calling it the ESPecter, [ACROBOTIC Industries] wanted to make this a simple project for anyone, regardless of skill with a soldering iron or Arduino toolkit. So they decided to base the guts on common components that can be put together easily, specifically a Wemos Mini D1 with an OLED shield as a bright display. They also designed a cool tiltable 3D-printed enclosure for this small device so that you can orient it to your eye level.
[Dave] is an avid hacker and no stranger to Hackaday. When he decided to give his IoT weather display an upgrade, he pulled out all the stops.
The WIoT-2 is less of a weather station and more of an info center for their house — conveniently located by their front door — for just about anything [Dave] or his partner need to know when entering or exiting their home. It displays indoor temperature and humidity, date, time, garbage collection schedule, currency exchange rates, whether the garage door is open or closed, the hot tub’s temperature, a check in for his kids, current weather data from a custom station [Dave] built outside his house, and the local forecast.
WIoT-2’s display is a Nextion TFT and the brains behind the operation is a NodeMCU 8266. He made extensive use of Blynk to handle monitoring of the various feeds, and will soon be integrating master control for all the networked outlets in the house into the system. He found setting up the hardware to be fairly clear-cut but notes that he cannot have the screen powered on when uploading sketches to the NodeMCU. He circumvented the problem by adding a latching switch to the screen’s power line.
[Dave] curated a robust explanation of his build that includes tips, tricks, code — and a how-to to boot! If you’re not already starting your own build of this info suite, you may be tantalized by some of his otherprojects.
Representing the weather on an LED lamp in a manner that’s easy to interpret can be difficult, but [Gosse Adema]’s weather/matrix lamp makes it not only obvious what the weather is but also offers a very attractive display. For rain, drops of light move downward, and for wind, sideways. The temperature is shown using a range of colors from red to blue, and since he is situated in the Netherlands he needed snow, which he shows as white. A rainy, windy day has lights moving both down and sideways with temperature information as the background.
To implement it he mounted LED strips inside a 3D printed cylinder with reflectors for each LED, all of which fitted into a glass cylinder taken from another lamp purchased online. The brains of it is a Raspberry Pi Zero W housed in the bottom along with a fan. Both the LEDs and the fan are controlled by the Pi. He took a lot of care with power management, first calculating the current that the LEDs would draw, and then writing Python code to limit that draw. However upon measurement, the current draw was much lower than expected and so he resized the power supply appropriately. He also took care to correctly size the wires and properly distribute the power with a specially made power distribution board. Overall, we really like the thorough job he’s done.
When the older of us think of radio, we think of dialing in an FM or AM station. Giant broadcast towers strewn throughout the countryside radiated electromagnetic waves modulated with music, talk and sports across our great land. Youngsters out there might be surprised that such primitive technology still exists. Though the static of an untuned AM receiver might be equivalent to the dial tone of a 56K modem, it’s still a major part of our society.
Like all technology, radio has transitioned to faster and better ways of sending information. Today we have digital radio stations – one of the most popular being iHeartRadio. And because it’s digital, it can also send along info other than audio, such as weather and traffic information.
The guys over at [KYDronePilot] have made use of this to display real-time weather and traffic maps with an SDR and a little Python. They’re new to Python, so be sure to check out their GitHub, grab a copy of the code, and let them know if you see room for improvement.
Ever since I first learned about radiosondes as a kid, I’ve been fascinated by them. To my young mind, the idea that weather bureaus around the world would routinely loft instrument-laden packages high into the atmosphere to measure temperature, pressure, and winds aloft seemed extravagant. And the idea that this telemetry package, having traveled halfway or more to space, could crash land in a field near my house so that I could recover it and take it apart, was an intoxicating thought.
I’ve spent a lot of time in the woods over the intervening years, but I’ve never seen a radiosonde in the wild. The closest I ever came was finding a balloon with a note saying it had been released by a bunch of schoolkids in Indiana. I was in Connecticut at the time, so that was pretty cool, but those shortsighted kids hadn’t put any electronics on their balloon, and they kind of left me hanging. So here’s a look at what radiosondes are, how they work, and what you can do to increase your chances of finding one.
The Soviet Union took the world by surprise when it sent its Sputnik satellite into low earth orbit way back in 1957. The event triggered a space race between the Soviets and the United States and ushered in technologies that would go on to touch the lives of every human on earth. Today, several nations have a space program. And one of the more useful things to put in orbit are weather satellites.
In 2014, the Russians launched their Meteor N M-2 weather satellite into a polar orbit. The part that were most interested in is the fact that it transmits images at 137.1 MHz using the standard LRPT protocol. However, the newer Meteor N M-2 transmits images at twelve times the resolution of US NOAA satellites. No typo there – that’s twelve (12!) times. Have we got your attention now?