Preparing Students For Industry 4.0
Industry 4.0 is characterised by the increasing use of automation, data exchange and other advanced technologies in Robotics, Mechatronics, Mechanical, Electrical and other Industries. This shift is transforming the way businesses operate, and it’s also having a major impact on the skills students require to be successful in these fields.
As Industry 4.0 continues to advance, the integration of automated technologies is becoming increasingly important. For example, in a modern manufacturing facilities, robotics, smart sensors, programmable logic controllers, human machine interface and other automated systems are used to control production processes and gather data. However, all of these systems need to be integrated and coordinated to ensure they work together effectively.
To prepare learners for this new reality, Career and Technical Education (CTE) programmes need to focus on teaching skills that enable students to manage and integrate these technologies.
EdNex is at the forefront of training students with these skills with Intelitek SmartCart 4.0 on not just how these components work but how they work together.
What is SmartCart 4.0?
SmartCart 4.0 is an all-inclusive training platform designed to enable CTE classrooms to teach students industrial automation and industry applications needed in modern workplaces and create skilled workers for next-generation jobs. It takes an approach focused on system integration and industrial robotics for Industry 4.0 ecosystems.
What Makes SmartCart 4.0 A One Of Its Kind Industry 4.0 Robotics
And Automation Platform For Education?
Key Concepts Students Will Learn In SmartCart 4.0
Smart Factory Automation
How to use automation technology to optimise industrial processes and increase efficiency in manufacturing operations.
Communications
How to establish effective communication between machines, sensors and other devices in an automated system to enable data exchange and control.
Smart Sensors
How to use sensors to acquire real-time data from equipment, and how to process and analyse this data to optimise manufacturing processes.
Automation
Programmable Logic Controllers (PLCs) and how to program them to control industrial machinery and processes.
Robotics
How to design and operate robotic systems for automated manufacturing processes, and how to integrate them with other technologies.
Machine Vision
How to use machine vision systems to identify and track objects, and how to integrate these systems into an automated manufacturing process