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Automation and Internet Cloud Computing are evolving and merging into a space allowing for Artificial Intelligence (AI) programming to facilitate improvements in productivity and efficiency with many economic benefits.
Along with Internet Cloud computing and other advancements with the Internet, we are now in the middle of the next industrial revolution mining and turning data into information.
This period of evolution is called Industry 4.0 or the Fourth Industrial Revolution which includes the Industrial Internet of Things (IIoT) and Digital Transformation mechanisms that facilitate this evolved 4th generation period of Automation.
While the Industrial Internet of Things does fall under the Internet of Things (IoT) area of influence, the key difference is IIoT concentrates on the connection of machines and devices in industries like manufacturing, healthcare, and logistics.
IoT is commonly used to define consumer-based devices like Fitbits, and a wide range of smart home devices.
IIoT is about getting information that every single consumer need in their hands when they want it and Digital transformation is the digitization of a business in how we must move to a unified organize data space using the International Society of Automation standard for developing an automated interface between enterprise and control systems or ISA95.
The Industrial Internet of Things is all about interconnected instruments, sensors, and many other devices that are networked together and communicating with computer-driven industrial applications for many manufacturing and energy management areas of business.
IIoT is an evolution of a control system that allows for a significant improvement in automation by using cloud computing to enhance and optimize process controls.
Industrial IoT depends on many technologies but the key technologies primarily consist of Artificial intelligence, Cybersecurity, Cloud Computing, Edge computing, and Data Mining.
1) Artificial intelligence or (AI) and machine learning or (ML) are fields that are part of computer science.
2) Cybersecurity technology becomes an important basic platform for IoT and IIoT enabling disconnected machines to physically connect and communicate in a secure method.
3) Cloud computing is basically using IT services and the files to be uploaded and downloaded from Internet-based servers.
4) Edge computing is a distributed computing model bringing data storage closer to the location where it is needed and optimizes sensors, industrial computers, and devices that are part of the IIoT system for publishing and consuming data for faster processing.
5) Data mining and analytics are about collating and examining large amounts of data stored from various parts of the enterprise.
Companies want to be more competitive, increase efficiency with just-in-time manufacturing in meeting higher customer demand with better inventory control. We can do all of this with the creation of the organizations’ overall automation a digital twin.
A digital twin is a virtual representation referring to a digital replication of the actual companies’ physical assets, processes in place, automation systems, and devices. The twin uses real-time data to enable learning and reasoning for improved decision making.
While we may benefit from a long list of benefits through the IIoT transformation, there are some concerns and risks we should be aware of.
Some of the potential risks of adopting IIoT are the expense of cost of data integration, lack of experience, and difficulty of implementation, and the devastating cyber threats.
In the long term, IIoT could more than pay for itself, but many organizations are still justifiably concerned about investing so much in IIoT.
On the bright side, the benefits of IIoT in manufacturing, pharmaceuticals, agriculture, mining, Oil and Gas, and retail are gaining ground and many companies are embracing this new paradigm for solutions in optimizing operations and personnel productivity.
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15 ноя 2020
