Home > SICK’s M4000 Advanced multiple light beam safety device differentiates humans and materials reliably

SICK’s M4000 Advanced multiple light beam safety device differentiates humans and materials reliably

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article image SICK’s M4000 Advanced multiple light beam safety device for safe material flow
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SICK  presents the M4000 Advanced multiple light beam safety device designed for safe material flow processes through reliable differentiation of humans and material.
 
The M4000 Advanced product family combines exit monitoring for safe human-material differentiation with maximum plant availability by fast diagnosis in the event of malfunction to deliver an effective muting solution.
 
Working in combination with the UE403 safety switching device and application specific muting accessories, the system is capable of monitoring access to hazardous areas while allowing material transports through the protective field.
 
The M4000 Advanced multiple light beam safety device with the exit monitoring function was developed for applications in which the material transport to be protected took place only in one direction, out of the storage area.
 
Two muting sensors are located in a sheltered place within the hazardous area, saving time and costs when commissioning and eliminating the danger of misalignment during ongoing operations. This approach significantly reduces the space requirements in the facility’s outlet zone.
 
The extended diagnostic means of the M4000 Advanced multiple light beam safety device provide for even higher plant availability and transparency concerning the monitoring functions and muting processes, allowing any errors occurring in muting processes to be represented free of losses, for all signals engaged in the muting cycle.
 
This representation can be saved in a file using the data recording function to ensure swift and well-directed troubleshooting. An additional staggered functional diagnosis is also possible with the M4000 Advanced saving the last shutdowns of the system in an event history, making it possible to recognise errors in the muting sequence, optimise processes, and minimise downtimes in the material flow.

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