Data and networking between machines will lead to new business models and services and industrial owner/operators of all sizes can participate.
Data is king in today’s digital world, and businesses are turning to Industrial Internet of Things (IIoT) solutions to keep up with the demand for data. Three examples are highlighted.
In the future, farmers will be able to look at a tablet and see the nutrient, CO2 and moisture levels of every individual acre in their fields in real time.
Consider these best practices for an industrial data operations (DataOps) deployment, according to a company with a Control Engineering Engineers’ Choice Award product.
Converging information technology (IT), operational technology (OT) and high-speed data acquisition (DAQ) helps make an aerospace solid booster test bench safe from cyberattack.
IOLITEd DAQ devices use RJ45 connectors which allows easy connection of modules with standard low-cost Ethernet/EtherCAT cables.
As the volume of industrial data grows exponentially, human-machine interfaces (HMIs) are providing improved data visualization and storytelling tools to support intelligent automation and strategic decision making
Using Big Data for operational technology (OT) automation and control applications is increasingly important and can be a bewildering journey if the right questions aren’t asked. See four elements of data analytics system architecture.
For many applications, the cost of failure is too high not to have mission-critical capabilities in supervisory control and data acquisition systems. See three reasons control systems fail and five ways to build resiliency.
Manufacturers could save $100 billion through data sharing