MATLAB® and Simulink® can help you design, prototype, and deploy IoT applications such as predictive maintenance, operations optimization, supervisory control, and more.
AI in the Cloud and IoTDOWNLOAD
Use MATLAB with big data to develop your algorithms. MATLAB supports time-stamped and unstructured data from many sources including cloud storage services (e.g., AWS S3, Azure Blob), OPC UA, RESTful web services, and databases. Work with live data from connected assets by integrating MATLAB with message brokers like MQTT and streaming protocols such as Kafka.
You can easily perform data munging and cleaning using built-in features to replace missing or erroneous values, smooth data, and align data sets that use different timestamp formats.
MATLAB provides thousands of functions for IoT application development, including for predictive maintenance, signal and image processing, feedback and supervisory control, optimization, and machine learning.
Develop algorithms much faster with MATLAB than with traditional programming languages by using existing functions, customizing them, or creating your own. The same algorithm can operate across many common IoT scenarios, including streaming or big data.
With MATLAB, you can define a model using data from your industrial smart machine. You can also use Simulink to create a physics-based model using multi-domain modeling tools. Both data-driven and physics-based models can be tuned with data from the operating asset to act as a digital twin. These digital twins can be used for prediction, what-if simulations, anomaly detection, fault isolation, and more.
MATLAB programs or Simulink models can be deployed on the edge, asset, or cloud. For desktop, server, on-premise, or cloud applications, you can generate run-time executables, components, or containers. For embedded devices, you can automatically generate C/C++, Verilog/VHDL, or GPU code. Explore and test where the algorithms of your IoT system should run – whether it is a time-critical control loop that should run at the asset or edge, big data analytics that should run at an on-premises data center, or Monte Carlo simulations that should run on the cloud.
ThingSpeak is an easy-to-use cloud-based IoT platform for prototyping and small-scale productions applications. Send data to ThingSpeak from your devices using MQTT or REST APIs. View instant visualizations of your live data from any Internet-connected web browser. With ThingSpeak, you can schedule MATLAB code to run live analyses and visualizations as new data arrives. Act on your data by creating alerts and triggering reactions.
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