5 Trends for Industry 4.0

The commercialization of AI

While artificial intelligence (AI) has already infiltrated our personal lives through smartphones, smart fitness trackers, and smart assistants, the manufacturing sector has only recently begun to take AI integration seriously. However, the production line of the future will mainly rely on AI for services like visual inspection systems, predictive maintenance, and health monitoring. The goal of a completely automated factory that flexibly produces things in small batches—all the way to "sample size one" production—will be reached with the help of AI technology. And eventually, AI will make it possible to create powerful and adaptable machine software that was not feasible using conventional programming techniques.

Predictive maintenance

In the manufacturing sector, predictive maintenance refers to the practice of recognizing machine and component failure patterns through the use of sensor data and artificial intelligence (AI). The idea is that by understanding when a machine or component is most likely to break, producers can take preventative action and maintain their equipment more effectively.

It also involves more than simply pricey new equipment. It can comprehend a machine's state, identify irregularities, and make repairs before they fail. This shows that predictive maintenance methods can be used on older machinery as well.

Robots and autonomous systems

Robots and autonomous handling systems will be needed in the factory of the future to enable flexible production that can respond quickly to shifting demands. Future handling equipment will automatically learn through reinforcement learning and other AI approaches, whereas traditional programming and instruction of robots are not sufficient for preparing the system to handle the enormous and quickly expanding number of various commodities. The necessary conditions, which include enormous computing power and data volumes, have been developed during the past few years.

More opportunities for engineers with "domain+" competencies

While 2020 demonstrated the significance of digitization for the industrial sector, the upcoming years will show who is and is not prepared for the modern factory. Corporations with teams of engineers with "domain+" abilities, or those who can combine domain knowledge with (+) experience in technology and tools from companies, will successfully embrace the potential and problems of an increasingly digital and virtual world. To prepare for a future where Industry 4.0 is just the beginning, businesses that manufacture and operate industrial equipment must alter their job ads and hire engineers with whole different profiles.

Augmented Reality

A real-time display is improved with augmented reality (AR), which combines real pictures with computer-generated data. AR has enormous potential to impact the industrial sector and is connected to Industry 4.0 principles for smart manufacturing.

●??????Operations: Installation, assembly, and tool changes are just a few examples of operations that can benefit from the implementation of AR.

●?????Remote assistance and maintenance: AR is effective in cutting execution times, reducing human error, and sending pertinent performance analytics to maintenance workers.

●????Risk management: AR enables the management of operator and equipment risk and safety.

• Design and visualization: augmented reality (AR) offers technologies that enhance prototyping, design, and visualization during the design phase.

Editorial Team

Advent Biztech Solutions