Results from MIT research could help designers engineer high-temperature superconductors and quantum computing devices.
Combining a scalable human-machine interface (HMI) system and supervisory control and data acquisition with additional edge functionality gives machine and plant designs a high degree of flexibility and adaptability to quickly react to changing market environments and maintain fast innovations cycles.
Advanced edge controllers enable remote monitoring techniques to supplement standard industrial automation practices
MQTT is an open network protocol that moves messages between devices and machines over TCP/IP
MIT researchers have invented a machine-learning tool called Ithemal, which predicts how fast computer chips will execute code from various applications.
Legacy industrial automation systems must eventually be ripped and replaced or upgraded. See four challenges and five benefits of upgrades using modern controllers.
Edge computing is a mesh network of micro-data centers that process or store critical data locally while also working in concert with a central data center or cloud-storage repository.
End users are optimistic about edge computing’s ability to transform industrial automation processes, according to research by Stratus Technologies and CFE Media.
Choosing the best industrial controller requires evaluation of automation, communication and security needs.
Integrating safety systems into a machine’s standard control platform simplifies operations, increases diagnostic capabilities and creates safer work environments for engineers and end users.