First, let us understand the Industrial Internet of Things (IIoT) or Industry 4.0 is.
Industry 4.0 or IIoT is the result of the combination of Automation and Cloud Computing with the help of Artificial Intelligence (AI) to improve Productivity, Efficiency, and sure Business Growth. The rise of Data Science and the burst of Internet usage led to increasing Internet availability. Now we are witnessing the dawn of the 4.0th Industrial Revolution. Industry 4.0 or the fourth industrial revolution includes IIoT and digital transformation of mechanisms to evolve into Conscious Automation.
Let us now discuss the differences between IIoT and IoT:
The Internet of Things is more concerned about how to make smart living possible for individuals like smartwatches, Google Glass, smart T-shirts, and many more. Whereas IIoT focuses on turning the industrial machinery into intelligent and self-aware machines to produce smart businesses and industries.
IIoT is the continuous cycle of the following technologies
* Big Data
* Machine Learning
* Artificial Intelligent
* Cloud Computing
* Edge Computing
Big Data is the data accumulated from the steams of data generations of the industry, including data from automation and manual work done.
Machine Learning (ML) aids in analysing the automations’ data so that AI act upon it.
Artificial Intelligence uses the analysis of the ML to predict precisely when and which part of automation should be managed to avoid breakdown, catching fire, downtime, and more.
Edge Computing is a data center grade computation and analytics efficiency to enable High Performance, Virtualization, Containers, Enterprise Class System Management, Quick Remote data access, Data Visualization and Faster data collection.
Cloud Computing aids in continuous uploading of the unfathomable data and quick necessary data retrieval as and when it needed.
Cyber Security is an important and integral part of IIoT enabling secure connecting and disconnecting of machines to communicate with each other and perform their respective tasks diligently. It provides data protection against external and internal threats with real-time solutions. Cyber Security creates a safe environment where all the other processes function seamlessly.
With the help of Digital twin technology we can create a virtual copy of the plant’s automation and processes to run virtual tests to optimize the manufacturing, meeting deadlines, addressing future growth in demand and many more. It assists in predict wear and tear of parts. It originated from NASA.
The Major risks in implementing IIoT are
* It requires huge amounts of investment
* It needs new software and corresponding experienced personnel
* It is a time consuming to train your personnel and make them productive
* It requires new equipment
The Major Benefits of IIoT in long run are
* Minimum Space occupation
* Minimum Energy consumption
* Minimum Latency in connectivity
* Minimum Cables to handle
* Minimum Deployment Time
* Minimum to buy and manage equipment
* Minimum Human interference and
* Minimum Error Expectancy
On The Concluding note, I would like to add that IIoT is empowering many industries like Health Care, Manufacturing, Logistics, Mining, Agriculture, and more. IIoT can pay for itself in the long run, and many more companies are ready to embrace it.
Nimish Gupta is the Director (PMO) at Pixel Values Technolabs, a top-rated Mobile App Development Company in India. Nimish has over 13 years of experience in the Information Technology & Telecommunication industry. He has done lots of projects for the Government of India. He is very determined to ensure that solutions presented to the clients adopt the right technology and are scalable to adapt to new platform requirements of the ever-growing Information Technology industry. Contact Information:
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