History & the Future Plan of the 3.0 and 4.0 Industry

Industry 4.0 means to the fourth industry ideas. This term was set in the year of 2011 to represent the full cyber-physical systems (CPS), which is on cloud computing, and will have on the manufacturing procedure.

These include:

Consistency.
They are not giving so much information.
Accurate-time of details.
More flexibility.

Hence, the difference between Industrial Solutions 3.0 and 4.0 is the presence of new joint technology in operations.

History of Industry

Let’s look at the revolutions of the industry:

1st Industrial Revolutions: Steam and water power are used to give production.
2nd Industrial Revolutions: The electricity offers mass production with the assembly lines.
3rd Industrial Revolutions: IT and computer technology used to automate the processing.
4th Industrial Revolutions: It makes sure that the automation and IT connected with the CPS.

These are a chain which will give more automation, and the final development (Which is ongoing) that will take the automation into a new level by making it use of massive data.

What is the difference between both Industries?

In the 3.0, Industry Solutions automates the process, which uses the logic of processors and details technology. These will operate in massive without any personal interference. Hence there will always be a human behind it.

Now industry 4.0 is in the availability of the use of vast amounts of data is on the production floor. For instance: we will take the machine: while it is automated, it will need some information from the human controller. This procedure is automatic, which is based on the person’s input, but not on the news. Now Industry 4.0 is the same machine that would not be able to set the parameters correctly. It also still has the same data to get production in the process.

What does the 4.0 Industry be?

Maintenance, Industry 4.0, does have vast data that can take through the sensors, and it will make decisions about the repairs and the procedure of what to do next. Predictive maintenance systems are the start to build machine learning to understand when the fault is and do the correct measurements.

Hence, it doesn’t mean we are using the same data- we have been piling the data for years. The difference accumulated the data available, and the brand-new methods will have to control this.