All the hardware and software are open-source and available on GitHub. The fact that none of the sensors have moving parts is a major advantage for this use case, and we look forward to seeing the boat project. plans to use the QingStation on an autonomous boat, so he also included an IMU, compass, GPS, and a microphone for environmental sounds. Other sensors include an optical rain sensor, light sensor, lighting sensor, and a BME280 for air pressure, humidity, and temperature. This might due to a calculation error, or external factors like wind, or disturbed airflow from the test car or other traffic. This yielded readings that were proportional to the car’s GPS speed, but a bit higher. Since does not have access to a wind tunnel for testing and calibration, he improvised by mounting the anemometer on his car’s roof and going for a drive. The design and experimentation process is well-documented. For an ultrasonic anemometer to work properly, it requires a carefully designed analog amplifier on the receive side and a lot of signal processing to extract the correct signal from all the noise caused by secondary echoes, multi-pathing, and the environment. Wind direction can be calculated by taking velocity readings from two ultrasonic sensor pairs perpendicular to each other and using a bit of simple trigonometry. ![]() They work by measuring the time it takes for an ultrasonic audio pulse to be reflected the receiver across a known distance. Ultrasonic anemometers have no moving parts but come at the cost of significantly more electronic complexity. For ’s QingStation, he decided to build another type of wind sensor: An ultrasonic anemometer. ![]() Weather stations are a popular project for experimenting with various environmental sensors, and for wind speed and direction the choice is usually a simple cup anemometer and wind vane.
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