We have said it before: Data is the foundation of artificial intelligence, and the success of your projects depends on it. Manufacturers often have data stored in many systems, but for sure, an Industrial Internet of Things (IIoT) solution is the one producing data like nothing else in history.
This network of interconnected machinery with sensor technology and software enhances manufacturing and industrial processes. It leverages the power of smart machines and real-time analytics to optimize your production process. However, it does not stop at connecting your machines to the internet (shown as the second stage in the Industrial IoT Maturity Model displayed below).
You need to take advantage of the data of these industrial machines to reach fewer machine failures, reduce scrap and downtime issues, and improve throughput – to name a few.
When used in tandem with Artificial Intelligence (AI), IIoT holds a significant potential to reshape our industrial landscape. Artificial Intelligence brings the power of advanced data analytics to the Industrial Internet of Things. By sifting through massive amounts of data generated by IIoT devices, AI can identify patterns that humans simply cannot, enabling unprecedented levels of operational efficiency.
Source: FIR e. V. at RWTH Aachen University
PTC’s Industrial IIoT softwareThingWorx for example, allows you to set up advanced alerts on your production and energy data. You will be informed as soon as a certain data variable passes its threshold. An example of a trigger could be the oil temperature of your device crossing its maximum temperature for more than 15 minutes. However, defining these alerts is still a human activity. By adding AI to it, the system could train itself. It could look for the root cause in case of an abnormal case and define what alert needs to be set up to prevent this from happening in the future.
Taking another glance at the Industrial IIoT Maturity Model pictured above, stage 5 mentions “Predictive capacity”. This is where one of the most profound impacts of AI in IIoT lies, in the sphere of predictive maintenance. It allows you to shift away from repairing machinery after a failure (reactive maintenance) or schedule-based maintenance (preventive).
Machine learning algorithms and/or deep learning can anticipate future events based on historical data gathered. The predictive capacity is immensely helpful, whether it's for foreseeing a few seconds ahead to prevent mishaps and damage, or for projecting days or weeks into the future to schedule maintenance of machinery before any breakdown occurs. This way, the technology can minimize downtime and prolong the machinery's lifespan. A similar rule-based system can also evolve over time and adapt to changing conditions and complex datasets.
The same predictive powers can significantly enhance two crucial metrics in manufacturing - workplace safety and energy efficiency. AI-powered predictions can discover safety hazards, preventing accidents before they occur. Through its data analysis capabilities, AI can help industries optimize their energy consumption, resulting in significant cost savings and a greener industrial process.
There are different Internet of Things platform providers. ThingWorx (PTC) is one of those innovative ones that allows you to build a smart factory. At 9altitudes we have also built an in-house IIOT solutions based on ThingWorx that allows you to start on a small scale and gradually expand. 9A Connected Factory & Insights is a kickstart solutions that allows you to connect your machines and creating actionable insights in no time. If you are looking into Smart Connected Products (devices connected at the end customer premises instead of at your shopfloor), Microsoft Azure IIoT could be a suitable solution.
In conclusion, the integration of AI with IIoT presents a transformative opportunity for industries. By harnessing these technologies, industries can achieve increased efficiency, improved safety, and enhanced sustainability. As we continue to innovate, the mutually beneficial relationship between AI and IIoT will only deepen, delivering even greater benefits for industries.
In this e-book, you will learn how an IIoT solution can help your manufacturing department address challenges such as operational efficiency, flexibility, product quality and sustainability
This e-book aims to provide the insights needed to achieve long-term success with Product Lifecycle Management (PLM)
Companies worldwide are acting swiftly in setting up new digital business strategies. How about your company? Are you following along?
In the world of manufacturing, there's a significant distinction between Information Technology (IT) and Operational Technology (OT).
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