If you’re interested in learning industrial automation, there are a few things you should know. First, industrial automation refers to the use of machines and computers to control and monitor industrial processes. This can include everything from manufacturing and assembly to packaging and shipping.
Second, while there are many different types of industrial automation, the two main categories are discrete and process automation. Discrete automation deals with individual, discrete tasks that need to be completed in a specific order. Process automation, on the other hand, involves the continuous flow of materials or information.
Third, when you’re considering a career in industrial automation, it’s important to have a strong background in mathematics and computer science. This will give you the ability to understand and work with the complex algorithms that are often used in industrial automation.
Fourth, if you want to be successful in this field, you need to be able to think creatively. Many of the problems you’ll encounter in industrial automation will require you to come up with innovative solutions.
Finally, it’s important to remember that learning industrial automation can be a long and difficult process. However, if you’re willing to put in the time and effort, it can be an extremely rewarding career.
Other related questions:
What are the skills required for industrial automation?
Some basic skills required for industrial automation include programming, electrical engineering, and mechanical engineering. Additionally, experience with control systems and manufacturing processes is helpful.
What should I study for automation?
There is no one-size-fits-all answer to this question, as the best way to learn automation depends on your specific goals and needs. However, some resources that may be helpful include online forums, online courses, and books on the topic.
What are the 3 major systems used in industrial automation?
The three major systems used in industrial automation are Programmable Logic Controllers (PLCs), Distributed Control Systems (DCSs), and Supervisory Control and Data Acquisition (SCADA) systems.