INCREASE SAFETY OF WORKERS AND EFFICIENCY OF OPERATIONS

 

A LONE WORKER PROTECTION SYSTEM FOR INDUSTRIAL CAMPUSES

 

Occupational safety is a key concern in industrial sectors. There were over 3500 deaths from work accidents in the EU in 2019 according to EU-OSHA.

 

Lone Worker Protection systems allow isolated workers to call for help or send automatic alerts. But location information is crucial in such cases. However, GPS-based location does not work indoors and RF systems suffer from interferences with buildings materials or machinery. Costly infrastructure and maintenance is another concern.

 

SYSNAV has developed a Lone Worker Protection System with indoor localization that avoids these issues.

 

 

TESTIMONY FROM A SEVESO PLANT: BUTACHIMIE

 

 

 

LONE WORKER PROTECTION SYSTEM FOR INDUSTRIAL SAFETY

 

SYSNAV has developed a personal 3D positioning and tracking device, SYSNAV PLD, that requires little infrastructure to function indoors and outdoors.

SYSNAV PLD has all automatic alerting features of a lone worker protection system such as fall or standstill detection.

 

 

This device has multiple use cases:

  • Guarantee the localization and safety of lone workers
  • Guarantee rapid on-site intervention in the event of an accident
  • Control compliance of the whereabouts of workers, subcontractors or visitors
  • Easily locate points of interest
  • Optimizing operational processes

 

 

 

Brochure

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OTHER USE CASES OF SYSNAV INDOOR TRACKING

Dosimetry mapping in nuclear power plants

SYSNAV provides an accurate real-time positioning solution during power station operations. The solution contributes to detailed dosimetry mapping with the aim of recording the worker’s trajectory to measure radiation exposure and adapt the trajectory to limit this exposure. The solution also makes it possible to speed up topographic measurements during maintenance shutdowns with a strong time constraint.

 

3D geolocation of operators in factories

SYSNAV’s personnel positioning solution was used in factories to record repeat trajectories of operators. The tracking data was then analyzed in order to rearrange the location of work stations and save time.  As a result, workflows were streamlined and it improved operational efficiency.