Industrial Internet of Things (IIoT)

The purpose of this course is to delve into the management of useful resources for the creation and management of a cloud platform based on an IoT architecture for the acquisition, computing and visualization of data in industrial environments.

For this purpose, it is necessary to consider several tools that will allow:

• Create virtual machines (Linux OS), and work on them remotely using commands (i.e. SSH and SCP)
  Implement a software container structure (i.e. Docker).
• Learn to use flow development environments between devices for communications management (i.e. NodeRed).
• Manage time series databases (i.e. InfluxDB), for the registration and provision of data to the rest of the services (i.e. reading and writing).
• Implement a data visualization panel (i.e. Grafana), connected to the previous database system.

The course is developed through a set of guided stages based on textual indications and explanatory videos. Reading and viewing these instructions will offer an overview of the particular system to be developed. However, it is recommended to replicate the steps indicated for a better understanding and management of the environments introduced in this course.

Finally, comment that due to the high number of software resources (open source) considered in this course, it is possible that some of the versions considered correspond to versions that are not updated with respect to those available during this course. It is recommended, in this sense, to use, whenever possible, the versions referred to in this course to ensure compatibility between applications.