다음에 대한 결과:

We have created a new community for users of ThingSpeak. This new community is for students, researchers, and engineers looking to use MATLAB, Simulink, and ThingSpeak for Internet of Things applications. You can find the latest ThingSpeak news, tutorials to jump-start your next IoT project, and a forum to engage in a discussion on your latest cloud-based project. You can see answers to problems other users have solved and share how you solved a problem.

Christopher Stapels will be moderating the new ThingSpeak community .

We encourage you to visit the new community and share best practices, examples, and ask questions.

One great thing about IoT projects is they are connected to the internet, and that creates an opportunity to collaborate at a distance. Here are resources to help you teach classes that involve remote learning.

• Record and visualize your experiment's data in ThingSpeak channels. For example, this public soil monitor channel shows measurements from a sensor connected to a plant. You can see the ThingSpeak example pages for help getting your experiment connected.

• If you don’t have your own equipment see one of our 1,000,000 existing channels. Check out over 200,000 public channels at ThingSpeak.com.

• Use the fitvirus program to fit COVID-19 data. You can download the fitvirus code on File Exchange. You can get your own data or download statistics from a public ThingSpeak channel with COVID-19 data. For other COVID-19 related resources see COVID-19 Research and Development with MATLAB and Simulink

Figure 1: Fitvirus sample results.

When you can’t make it into the lab, use ThingSpeak to monitor and control your lab equipment for experiments and for teaching.

• When you use ThingSpeak channel values to control your hardware modes, students can run experiments from home, and even collaborate with others to control devices and collect data for analysis.

Figure 2: Sample ThingSpeak lab model.

• Build a simulation model to deploy on hardware and control it remotely. Watch this video to see how you can do both simulation and deployment in the same Simulink model. You can also download the models used in the video.

• Use ThingSpeak to analyze your data. Use the provided code templates (like this one for removing outliers from wind speed data) or custom MATLAB code to filter and analyze your data and schedule it to run at regular intervals.

regularFlag = isregular(data,'Time')

• Use ThingSpeak to Visualize your data. Consider a geographic plot to show location data with your measurements, or build your customized channel view.