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SICK Safety Machine Analytics displays a live visualisation of the safety status of machines

SICK Safety Machine Analytics is a simple new live data-collection service that makes machine safety systems transparent, so that events can be responded to rapidly, while longer-term analysis optimises maintenance and improves productivity.

The SICK Safety Machine Analytics displays a live visualisation of one or more machines so users can monitor the status of safety processes in real time, investigate the root-causes of stoppages, and take steps to eliminate them. The specially-developed SICK software supports improved Overall Equipment Effectiveness (OEE) by acquiring data from safety sensors, then displaying interrupts in real time, as well as a graphical representation of system trends.

Quickly and easily installed on any device with a web browser, the SICK Safety Machine Analytics can be linked to multiple safety sensors or actuators, independent of hardware. Users get started by uploading images of their machines, then overlaying safety sensors onto the visualised scene to facilitate easy navigation of real-time data. With access rights set by the administrator, the system can then provide instant feedback, as well as longer-term historical analysis for maintenance and production management.

Industry 4.0 for Safety Analytics

“The benefits of extracting data from sensors at the heart of machines have become well accepted as part of Industry 4.0 condition monitoring, however, for some users, connecting to safety systems may still feel daunting,” says Dr Martin Kidman, SICK UK Machinery Safety Product Manager.

“SICK Safety Machine Analytics is a simple and secure way of taking a virtual tour around the safety systems on your machines to look for any weak spots. You can drill down and identify any interrupts, so they can be quickly rectified. Once connected to a machine, this system offers a low-investment opportunity to identify where gains can be made in productivity by increasing machine uptime.”

Data from safety sensors and actuators, connected to a SICK Flexi Soft safety controller, is routed via a dedicated gateway to a separate web-enable device such as an industrial PC, tablet, smartphone or laptop.

Set Key Performance Indicators

Using the stored data, users track system history using their own Key Performance Indicators, for example, to compare a daily analysis of system downtime with patterns over a longer time period to get a better understanding of overall system performance. Alternatively, data for individual components can be investigated, e.g. to monitor a safety proximity sensor to see how often a door was opened or closed.

Any information available via the SICK Flexi Soft controller can be sent to the Safety Machine Analytics software over a standard Ethernet connection. All safety events are stored in the event log table to enable detailed analysis and to identify system improvements.

For more information about the SICK Safety Machine Analytics software, please contact Andrea Hornby on 01727 831121 or email andrea.hornby@sick.co.uk.

www.sick.co.uk

SICK (UK) LTD

SICK is a global leader in sensors and sensing systems for factory automation, logistics automation and process control. SICK’s comprehensive product portfolio encompasses sensors, encoders, machinery safety, machine vision and auto-identification in use by customers all over the world. Established for over 70 years, SICK products range from simple optical devices through to embedded intelligent systems, ready to meet the needs of Industry 4.0.

SICK sensors: At the heart of automation

SICK is one of the world’s leaders in sensors and sensing technologies for factory automation, logistics automation and process control.

SICK’s comprehensive product portfolio encompasses sensors, encoders, machinery safety, machine vision and auto-identification. The company also provides process instrumentation for gas and fluid flow and for chemical and pollutant detection.

From simple optical sensors and barcode readers to complex safety systems; from machine vision to emissions monitoring, SICK’s intelligent sensor solutions facilitate advanced automation and process control.

SICK products are designed with simplicity of installation and operation in mind. They help customers to achieve greater reliability and productivity, increased production flexibility and more efficient use of resources.

Founded in Germany more than 70 years ago, SICK employs more than 7,400 employees worldwide. The company invests heavily in research and development and is leading the way in smart sensor development to support Industry 4.0 objectives.

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