The Essential Importance of IIoT in a Smart Factory

IIOT Providers | Industrial ioT Provider | Data Processing System

In the manufacturing sector, the rise of Industry 4.0 is growing at a rapid pace and technological advancements are the backbone of this evolution.

Essential technologies such as Artificial Intelligence, Machine Learning, Automation and Industrial Internet of Things (IIOT) are essential. As part of connected and adaptive manufacturing, Smart Factories are a new chance to adopt exciting technologies so as to achieve demanding production goals.

Smart Factory

Smart Factories rely heavily on smart manufacturing, with the use of data, they are a very digitalized and connected production facility. They are designed to drive the adoption of digital manufacturing processes and create better results for productivity, delivery, reduced labor and energy costs.

As part of Business 4.0, new technology will be released as part of intelligent manufacturing and they can also be found in Smart Factories, for example:

Adopting robotics at a more profound level such as drones that would replace current human workloads. Use of machine learning how to analyse data gathered by sensors and monitoring devices in order to make real-time decisions to enhance the efficiency of production.

Using IIoT to create a system of connected devices with predictive capabilities to make autonomous decisions based within an intelligent, decision-making atmosphere.

IIoT

IoT focuses a lot more about connectivity, data analytics and automation as part of a huge digital ecosystem. In IIoT technology, sensors are attached to physical assets. Those sensors gather data, save it wirelessly, and use analytics and machine learning to take some sort of action.”

IIoT can transform linear manufacturing supply chains into interconnected digital supply networks (DSN), making factories more efficient, saving on costs and decreasing risk for human operators.

The most notable feature of IIoT systems is the use of sensors to find, for example, if a machine goes down or reaches a temperature that’s too large, sensors then track the source of the issue and activate a service request. 

This is known as ‘Predictive Manufacturing‘, a fascinating system that converts data into information and makes intelligent decisions about the machine or procedure.

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