Automation is the process of using humans to do repetitive tasks.

Data analysis is important for improving factory efficiency.

Predictive Maintenance helps fix machines after they break down.

A sensor is a device that performs a physical action, like moving a robotic arm.

Read the short text about smart machines. Then, decide if the following statements are True or False.

Smart Machines and Data

The IoT (Internet of Things) helps our factories become smarter. Machines now have sensors that collect a lot of data. This is called Big Data. This data is sent over the internet using connectivity. Engineers use Data Analysis to check this information. For example, they can use it to know when a machine needs fixing before it breaks. This is called Predictive Maintenance. This saves time and makes the production process better. Smart factories lead to high Efficiency. This new way of working is part of Industry 4.0.

IoT machines do not use sensors to collect data.

Why are advanced materials important for modern engineering?

The combination of two or more materials to get a stronger one is called a...

What kind of material would be used for a medical implant, like an artificial joint?

What is the primary goal of nanotechnology?

Which of these is an example of an advanced material?