Sensing at the Control Level: Leveraging Data for Both Safety and Analytics
About this episode
David Peterson interviews Kate Sokolnicki about the evolution of industrial sensing and the importance of data in manufacturing.
In the engineering world, we rely on sensors to acquire data from real-world processes and machines. Deciding how to use that data is very important. The right decisions impact process efficiency, system reliability, and even worker safety. Join Control.com's David Peterson as he chats with Kate Sokolnicki of Rockwell Automation in this episode of the Moore's Lobby podcast. Sokolnicki explains the evolution of industrial sensing and the shift toward data-driven manufacturing. They discuss many key technological advancements, including: -IO-Link as a standard: Simple sensors are transitioning into "smart" devices that provide dual-channel feedback—process data and health analytics—without typical price premiums. -Commoditized vision AI: High-end vision systems are being replaced by affordable cameras capable of quality checks and AI-driven processing at the edge or in the cloud. -Smart safety protocols: Learn how operators can now pinpoint specific faults in a daisy-chained system (e.g., identifying exactly which door is ajar), significantly reducing troubleshooting time. Sokolnicki notes that while AI is powerful, it requires robust metadata (machine, shift, and location context)…
More episodes of Moore's Lobby: Where engineers talk all about circuits
- Embedded Intelligence: Insights From An Industry Pioneer
- Solving the Hard Problems: Combining AI and Physics for PCB Design
- Sensors Insights: Bridging Hardware Collection and Software Analysis
- Industrial Sensors: The Building Blocks That Lead to Process Optimization
- Powering EVs: Microgrids & DC Charging Solutions
- Material Science in Motion: How 3M is Powering EV and Grid Advancements
Explore listener stats, chart rankings, contacts and more on the Moore's Lobby: Where engineers talk all about circuits podcast page.