Artificial intelligence (AI) is taking the Industrial Internet of Things (IIoT) space by storm, underpinning everything from predictive maintenance offerings to mission-critical operations technology.
Here in this blog post, we’ll be exploring deeper into the existence of AI within the IIoT space and how it’s transforming IoT overall. Let’s also explore through a few examples and illustrations of AI with IIoT, discuss impacts directly and provide you with the facts you need to better understand this space. Let’s begin!
The transforming role of AI in IIoT
As we embark on Industry 4.0’s journey, we are surrounded by a constantly changing “sea of technology.”
These technologies hold tremendous potential for manufacturers, particularly in the maintenance aspect, and growth is most apparent in the areas of AI and IIoT.
The manufacturing sector has always been innovation- and adaptability-driven, and now we can witness a new and exciting era for us.
This is an era where artificial intelligence is no longer a distant dream but a solution to actual industrial problems.
How artificial intelligence brings value to IIoT
Predictive maintenance
Predictive maintenance has been a part of the manufacturing process in Industry 4.0. With AI and IIoT technologies now being integrated, machines can now predict future failures with precision.
This implies maintenance at convenient times and significantly minimizing downtime and the costs involved.
Many manufacturers already employ this technology to keep production assets at optimal levels.
Operational efficiency
The integration of AI IIoT into systems has given a chance to enhance operational efficiency like never before.
Through intelligent automation of tedious and repetitive processes, AI has the potential to enhance efficiency and lower costs with minimal risk of human error.
Sophisticated AI-based systems can manage themselves, reducing the constraints of old software and manual effort.
Smart manufacturing
The buzzword of modern manufacturing is “smart,” and with AI included in the mix, a revolution is underway.
With AI, machines are enabled to make decisions from real-time data, resulting in better production processes or perhaps inventing new types of production processes altogether.
AI-powered IIoT-based infrastructure turns your production processes smarter as machines get to talk to one another while analyzing data in real-time for instant, better-informed decisions.
Real-time monitoring
AI IIoT platform has unlocked the door to real-time monitoring and reliability monitoring possibilities. Through the constant tracking of production lines, manufacturers are able to view and address issues as they arise in a timely fashion; this eventually means less downtime and better quality products.
When you leverage these capabilities of real-time monitoring, you will always have your finger on your production lines and equipment health.
Today, every reputed IIoT platform can deliver features that can add value to your business endeavors.
Data-driven decision making
The biggest contribution of AI to the world of IIoT is perhaps its ability to manage huge amounts of data quickly, efficiently, and with high accuracy.
With useful insights derived from this processing, manufacturers are in a better position to make informed decisions on key operational factors such as cost savings and other revenue streams.
Autonomous environments
In a time of automation desire, AI and IIoT are the seemingly ideal “dynamic duo.” By combining these technologies with machine monitoring sensors, we can build autonomous environments where machines run independently without human intervention. Whether
smart manufacturing or predictive maintenance, this method saves money and boosts efficiency and quality.
Scalability
As for scalability, AI and IIoT complement each other to cope with the increasing demands of Industry 4.0.
The difficulty in deploying these technologies is not an issue anymore since quality data is being created in real-time in massive volumes.
Moreover, as industries embrace digital transformation, the demand for specialized software development services in the UK has grown, especially to support AI-integrated IIoT innovations.
Examples of IIoT merging with AI
Robotics
The Industrial Internet of Things and artificial intelligence combine in tandem like a glove and two hands during the robotics era.
AI-driven robots can learn new things, get more efficient with use, and also learn to adjust to changes around them.
And IIoT connectivity makes such smart machines exchange their learnings/data with each other quickly over a network to extract exponentially from their know-how.
Machine health monitoring systems
In addition to revolutionizing machine health monitoring, AI has also been converging with the Internet of Things.
As AI’s “data crunching” capabilities are combined with IIoT’s ability to gather real-time data, predictive maintenance has become a reality. Now that machines can predict breakdowns in advance, repairs can be scheduled at non-disruptive times.
Computerized maintenance management systems (CMMS)
The role of AI in CMMS and the application of CMMS is nothing but a revolution when combined with IIoT.
Through the integration of intelligent automation and real-time analysis, these systems can optimize maintenance schedules, streamline work orders, and maximize inventory control.
Summing up
The influence of AI on the industrial IoT is as far-reaching as it is pervasive, assisting in ushering in pioneering breakthroughs and intelligent manufacturing tendencies in productivity and operational efficiency.
From machines to automated maintenance management systems and machine condition monitoring systems, AI-IIoT convergence is transforming manufacturing.
In order to unlock the benefits of AI and IIoT, we still have to traverse these challenges in a careful manner and add value to an environment that combines technological advancements and human values. Start today!
Author Bio
Vishnu Narayan works as a content writer for ThinkPalm Technologies. He is an enthusiastic writer, a tech enthusiast, and an avid reader who tries to travel the world with a heart that yearns to see more sunsets than Netflix!
