Using a USB-to-serial converter and Node-RED software (included in the GROOV AR1), you can connect RS‑232, RS‑485, or RS‑422 serial devices (2‑wire or 4‑wire) to the groov Box.
If you use pipes in your groov operator interface, you'll appreciate these new images: pipes, elbows, junctions, simple tanks, pumps, valves, meters, and more.
The images are designed so their parts will line up even when scaled.
All water/wastewater operations have to be strictly monitored and their data stored for reference, no matter the size of the district.
Opto 22 SNAP PAC controllers and brains both have two Ethernet network interfaces—pretty handy. But do you use them the same way? That's the question we'll answer in this tech tip.
Most devices used on an Ethernet network have one network interface with an RJ-45 connector. But SNAP PAC controllers and EB brains each have two interfaces—two RJ-45 connectors.
However, the two interfaces on controllers and brains are designed for different uses.
Hannover Messe, the world's leading industrial conference with over 6500 international exhibitors, will be held 24-28 April 2017 in Hannover, Germany.
Join us there for a look at the present and the future of automation:
- Industry trends
- New technologies
Node-RED is the open-source tool for digitally wiring together hardware devices, cloud services, databases, and more in simple logical flows.
Have you tried AT&T's Internet of Things (IoT) platform, M2X?
If you're looking at IoT platforms, you'll want to see this new technical note. It shows you how to get real-world data, in this example a temperature in degrees F, to an AT&T M2X device in the cloud.
One Ethernet network troubleshooting tool our Product Support Group recommends is Wireshark. It's been a helpful choice for many years, and it's free.
Our recent blog post explains where to get Wireshark and how to use it. You can pay a lot for network analysis tools—and in some cases you may need them—but many times, the free ones do the job.
What could cognitive computing do for you?
Cognitive computing involves analyzing huge quantities of data and spotting correlations and patterns that are valuable—similar to what a human brain can do. But computers can analyze lots more data, much faster.
In March 2016, a Gartner survey reported that 43% of organizations were already using or planned to implement IIoT applications during the year.
But it's not necessarily easy. There are still challenges to be met and a lot of decisions to be made as you move ahead.