Can mechanical engineer learn Scada?
Mechanical Engineers are the most apt and suited for taking PLC/SCADA specialisation in case they wish to pursue careers in Production Management, Project Management, OEM or Special Purpose machine manufacturing.
Yes, you can learn PLC & SCADA because it is the backbone of modern manufacturing industries.
Once you understand logic by performing experiments, you are good for plc. I am a mechanical engineer and good with plc. Even grade 10 student can be master in plc.
So, pursuing machine learning courses as a Mechanical engineer is a good option for mechanical engineers to learn about the application of machine learning in their industry.
PLC stands for Programmable Logic Controller. They are industrial computers used to control different electro-mechanical processes for use in manufacturing, plants, or other automation environments. PLCs vary in size and form factors.
PLCs are also used in the process engineering industry. Process engineers use them to monitor and control chemical, petrochemical, and other similar processes. These controllers are often used to monitor the status of machinery in chemical plants, water treatment facilities, and other industrial settings.
PLC Programmer salary in India ranges between ₹ 1.2 Lakhs to ₹ 5.8 Lakhs with an average annual salary of ₹ 3.0 Lakhs. Salary estimates are based on 574 salaries received from PLC Programmers.
Structured Text PLC Programming
Structured Text provides a simple transition into PLCs for those who have a background in a traditional programming language such as C, C++, Java, or Python. Furthermore, it can be easily manipulated in text processors, thus making it fast to implement without the need for hardware.
An entry level PLC programming job is hard to come by. The reality is that it's difficult to master the hardware and software platforms without having some experience in the manufacturing setting.
What Does a PLC Programmer Do? PLC programmers typically work in the manufacturing sector, IT companies, and the electrical engineering field. They are mainly responsible for the maintenance and monitoring of plants and machines that use programmable logic controllers.
What is the future for mechanical engineering?
Mechanical engineering is undergoing some radical shifts as a profession as robotics, virtual reality (VR), artificial intelligence (AI) and big data transform the way that engineers design and develop projects. In the past, designing new tools and systems often required multiple prototypes and test runs.
Mechanical engineers don't need to be programmers. Keep in mind most of the production line is mechanical. But if we're going to be problem solvers, we need to be informed in multiple disciplines. It is hard to fix a problem if you don't know you have one.
Question: Is it possible to study GIS after mechanical engineering? Answer: yes! Just do it! ;-) All you need is motivation and problem-solving skills, which you can get from any school program.
This PLC SCADA training course is hugely beneficial for BE students, B. Tech students, Electrical Engineers, Computer Science Engineers, M. Tech students, mechanical engineers etc.
PLC are divided into three types based on output namely Relay output, Transistor output, and Triac Output PLC. The relay output type is best suited for both AC and DC output devices. Transistor output type PLC uses switching operations and used inside microprocessors.
To start, Raspberry Pi is essentially a complete computer with a Linux operating system, while Arduino is a microcontroller and has no operating system. This means it must be housed within another system to function. In this way, Arduino more closely resembles a PLC.
With AI/ML a lot of the data wrangling and computation is going to be automated, mechanical engineers are then going to be able to focus on using their analytical skills and expertise to make decisions.”
Eligibility to Become Mechanical Engineer with specialization Artificial Intelligence: You can opt for Mechanical Engineering at the UG level and then opt for Artificial Intelligence at PG and Ph. D.
Artificial intelligence, especially machine learning (ML) and deep learning (DL) algorithms, is becoming an important tool in the fields of materials and mechanical engineering, attributed to its power to predict materials properties, design de novo materials and discover new mechanisms beyond intuitions.
Luckily, there are programming languages out there that are accessible enough that you can learn the basics pretty quickly. Python is one of them, and for me, it's become an invaluable tool for various tasks in a mechanical engineering setting.