ThingSpeak

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Getting Started with ThingSpeak

Introduction to ThingSpeak™ and overview of its basic workflow

The Internet of Things (IoT) provides access to a broad range of embedded devices and web services. ThingSpeak is an IoT platform that enables you to collect, store, analyze, visualize, and act on data from sensors or actuators, such as Arduino®, Raspberry Pi™, BeagleBone Black, and other hardware. For example, with ThingSpeak you can create sensor-logging applications, location-tracking applications, and a social network of things with status updates, so that you could have your home thermostat control itself based on your current location.

ThingSpeak acts as the IoT platform for data collection and analytics that serves as a bridge connecting edge node devices such as temperature and pressure sensors to collect data and data exploratory analysis software to analyze data. ThingSpeak serves as the data collector which collects data from edge node devices and also enables the data to be pulled into a software environment for historical analysis of data.

The primary element of ThingSpeak activity is the channel, which contains data fields, location fields, and a status field. After you create a ThingSpeak channel, you can write data to the channel, process and view the data with MATLAB® code, and react to the data with tweets and other alerts. The typical ThingSpeak workflow lets you:

  1. Create a Channel and collect data

  2. Analyze and Visualize the data

  3. Act on the data using any of several Apps

The ThingSpeak API is available on GitHub® and includes the complete ThingSpeak API for processing HTTP requests, storing numeric and alphanumeric data, numeric data processing, location tracking, and status updates.

Topics

Collect Data in a New Channel

Learn how to create a channel, collect data and write it to a new channel.

Analyze Your Data

Learn how to analyze and visualize data using MATLAB.

Act on Your Data

Set threshold limits on data to send a tweet under certain conditions.

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