What Is The Industrial Revolution 4.0?

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Industry 4.0 describes an environment in which computers, automation, and people in general work together in a whole new way. The robots, or machines in general, will be connected to the computer system. These systems use machine learning algorithms to learn and manipulate machines, requiring very little or even no intervention from humans. This is why many call the Industry 4.0 as a “smart factory.” And in order to have enough data for Industry 4.0, the machines must “dedicate” the data back to the central system as well as gather data from external sources. . This is the Internet of Things concept that we have heard many times.

According to Forbes and Hermann, Pentek, Otto, 2016, a system, or more specifically, a workshop, requires the following conditions to be called “industry 4.0”:
Communication capabilities: Machines, devices, sensors and people must be connected and communicated
Transparency: The system creates a “copy” of the real world, which replicates data collected from sensors and machines.
Technical support: machines and systems must support human decision-making, problem solving, and help people do things that are too complicated or insecure.
Decisive decision-making: simple decisions must be made by the machine, fast, automated, without human intervention.

Take the example of a furniture factory for the brothers understandable. In this workshop, traditionally, there will be carpenters measuring, cutting wood, assembling pieces of wood, painting, finishing, packing before transporting vehicles away. During the process there are many hazards: the sawmill can cut the limbs of the carpenter, the paint may contain toxic chemicals … People can also make mistakes when cutting wood is shorter than Design or paint more than usual. All the machines in this workshop are old, manual, and man-made.

For this factory to become “industry 4.0”, the workshop owner needs to upgrade the machines so that they can run independently, collect data, make their own decisions. For example, they can replace manual wood cutters with newer systems that can collect data. When the saw cuts wood, it will constantly check with the designer to know when to stop. The length of each cut piece is stored on a central server to predict if the saw blade is green, what is the cut-off time per meter, when to maintain the machine, not wait and fix …

The new sensors are also attached to each raw product to know how many items have been pushed to paint, finish, how many products were dropped. And the decision to use the paint tank A, B or C will be chosen by the machine based on the amount of paint remaining in each barrel, people do not have to open the lid to see the manual (the sensor will report the remaining paint, of course is always automatic). The decision to paint with paint barrels is a small decision, the machine can be made to machine, he carpenter will do other sewing.

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