IIoT Data Sharing Brochure
Simplified Solutions for IIoT
A variety of ways to share data for IIoT applications
You are currently viewing the Edge-based and Cloud-based solutions are complementary page.
For manufacturers looking to get started with the Industrial Internet of Things (IIoT), a common question that comes up is whether they should use the edge or the cloud for data analysis purposes. However, this doesn’t have to be an either-or choice. In fact, both strategies are optimized to fit different needs and can work well together.
Some manufacturers don’t want their data going into the cloud for proprietary reasons. In these cases, a total edge solution is preferred. But for customers willing to let some of their data leave, an edge-cloud combo could work wonders. Let’s take a look at why this is.
One thing that’s great about the edge is that it lets you react in real time. You can analyze data and make changes immediately. Our artificial intelligence (AI) controller, for example, uses machine learning algorithms to detect anomalies in machine behavior, alert operators that something’s amiss, and automatically go into a preprogrammed alternate run mode.
An edge-based strategy brings manufacturers closer to the vision of the factory of the future, in which equipment on the factory floor uses real-time data analysis to autonomously make adjustments. Since there’s no need to send data to the cloud for analysis and then communicate it back to the facility, decisions can be made extremely quickly.
The one caveat with respect to edge-based data analysis and decision-making is that you’re only looking at a small slice of data. This is great for decisions that are just based on what’s happening now, but it won’t help you analyze trends that occur over long periods of time (like seasonal variations).
A cloud-based strategy lets you analyze data on a broader scale to detect how – for example – seasonal weather conditions might affect a process. If it’s warmer inside the plant, materials may react differently than they would when it’s cooler. You can also identify patterns of equipment wear and tear and detect operator training needs with longer-term analysis.
Omron is special when it comes to helping customers stay completely on the Edge. Other automation solution providers also offer edge enabled devices, but these typically they require some sort of connectivity for licensing or updates. Only Omron can truly stay on the edge, and our AI controller is one of the most secure ways for manufacturers to leverage machine learning.
Want to learn more about our smart manufacturing solutions?
Integrating autonomous mobile robots (AMRs) into your facility can optimize materials transport thanks to the robots’ ability to navigate autonomously, adapt to changing environments, and perform a ra...
Automation has been a game-changer in the packaging industry thanks to its significant impact on the efficiency, speed, and accuracy of the packaging process.
As packaging companies adopt these...
The electric vehicle (EV) revolution is underway, and this transformation is ushering in multiple production challenges for automotive manufacturers. Companies that have been producing cars with combu...
Manufacturing companies range from small to large, but even the smallest ones employ a variety of people with different roles, and therefore different concerns. Granted, everyone’s ultimate goal is to...
A truly integrated development environment for machine automation, combining configuration, programming, simulation, and monitoring in a simple interface.
Jump-start your machine automation projects with a comprehensive kit that includes the NJ Series controller, HMI, Software and necessary accessories.
Jump-start data acquisition and analytics projects with an automation kit that includes the NX1 controller, HMI, Software and necessary accessories.
Create complex control systems with 125us scan time built on an i7 processor for information control & machine control applications - Dual EtherNet/IP, EtherCAT, Upto 256 axes of motion.