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Edward Lowton
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Smart sensors unveiled
20 July 2017
Discovering how smart sensor technologies help to deliver manufacturing flexibility and predictive maintenance in Industry 4.0-enabled manufacturing and logistics environments will be the focus for SICK UK’s stand at the PPMA Show.

SICK will be unveiling the latest Smart Sensors in its rapidly-expanding portfolio of intelligent solutions for real-time data sharing and IO-Link connectivity. SICK sensors are said to be breaking new ground for better productivity and machine availability through benefits such as more rapid product changeovers, transparent track and trace and improved diagnostics.
SICK’s packaging, processing and logistics product specialists will be on stand no: A26 to advise visitors how to select the best sensor technologies to make their operations Industry 4.0-ready.
Seb Strutt, Senior UK Product Specialist said: “Intelligent sensors are fundamental to fulfilling the opportunities opening up through digitised manufacturing. Sensors that capture and interpret the large volumes of data required at the field level are the life-blood of fully-connected networked production and control.
“Smart sensing technologies guarantee transparency at every stage of this value added process. But that doesn’t mean that our customers have to resort to future-gazing. They can start reaping the benefits of Industry 4.0 right now. Our sensors can be integrated into existing automation architectures to open up data sharing with higher-level systems. That can bring immediate benefits such as greater production flexibility, right down to Batch Size 1 changeovers, and real-time condition monitoring, for example.”
Stand A26.
- SICK's FTMg flow meter promises compressed air savings
- All-in-One DWS System
- Robots with a gentle touch
- Light curtain
- SICK launches safeVisionary2
- Smart factory: Behind-the-scenes insight
- Safety connection advances
- Sensor suitability: Selection matters
- Lock ensures PLe/SIL3 safety locking of machinery guards
- MPB10 Sensor provides continuous condition monitoring
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