The data collected by sensors on factory machines can be used to improve the maintenance process, reduce machine downtime, and even predict potential failures.
Fremont, CA: The manufacturing industry has evolved over the centuries, from human-centered methods to machine-based assembly lines to today's highly automated factories. And it continues to do so. There are a number of trends combining to transform manufacturing, and these trends can be described as "Industry 4.0." Let's take a look at the four biggest trends that are contributing to Industry 4.0.
The Industrial Internet of Things (IIoT)
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Sensors are a prime example of an interconnected IIoT device. Manufacturers can use data collected from sensors on factory machinery to better understand how machines are performing, optimize maintenance processes, reduce machine downtime, and even predict when things will go wrong. This brings us to the next big trend in manufacturing.
5G and edge computing
The fifth-generation (5G) of mobile data network technology will enable manufacturers to easily connect their IIoT technology and take advantage of the data collection and processing in devices such as smart machines and sensors. Furthermore, manufacturers can create their own private 5G networks on their premises, which will provide them with superfast data speeds without cables and improved data security.
Predictive maintenance
The predictive maintenance approach involves analyzing sensor data and applying artificial intelligence to detect failure patterns in machines and components in manufacturing. Understanding when a machine or part will fail can help manufacturers avoid failures and maintain their equipment more effectively.
Digital twins
Using digital twins, you can simulate any physical process or object. A digital twin can even be used to visualize and simulate an entire supply chain. As many as 70 percent of manufacturers may use digital twins to conduct simulations and evaluations by the end of 2022, which gives you an idea of what type of impact this can have.
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