Analyze the Measurement Data on Cloud using Raspberry Pi 4 and Analog Discovery 2

Nowadays, most service providers offer cloud storage. From images to videos, music or movies, they keep files in the cloud to save storage space. Users can get access to the data anywhere and easily share these files with others.

With the evolution of IoT, embedded systems have also started to grow in the cloud area. From development projects to complicated measurements, the industry is moving towards cloud technologies.

Internet of Things (IoT) describes an emerging trend where a large number of embedded devices (things) are connected to the Internet. These connected devices communicate with people and other things and often provide sensor data to cloud storage and cloud computing resources where the data is processed and analyzed to gain important insights. Cheap cloud computing power and increased device connectivity are enabling this trend.

With the Digilent Analog Discovery 2, Waveforms and Raspberry PI 4, you can send measured data and signals directly to the ThingSpeak.com cloud and eventually analyze them.

Analog Discovery 2 is a USB oscilloscope and multi-function instrument that allows users to measure, visualize, generate, record, and control mixed-signal circuits of all kinds. Analog Discovery 2 is small enough to fit in your pocket but powerful enough to replace a stack of lab equipment. Driven by the free WaveForms software, Analog Discovery 2 can be configured to work as anyone of several traditional instruments including an Oscilloscope, Waveform Generator, Power Supply, Voltmeter, Data Logger, Logic Analyzer, Pattern Generator, Static I/O, Spectrum Analyzer, Network Analyzer, Impedance Analyzer, and Protocol Analyzer

WaveForms is a software developed by Digilent and intended for use with the Analog Discovery 2 and the Analog Discovery Studio. WaveForms provides a user interface for a 2-channel oscilloscope, logic analyzer, arbitrary waveform generator, digital I/O, and more. It’s free to download and compatible with Mac (Apple), Windows, and Linux (32-bit, 64-bit, and ARM).

Read the step-by-step tutorial and see how to send data from WaveForms SDK to ThingSpeak.com on the DesignSpark Article.