Fagus-GreCon releases new optical detector system for increased safety in fire prevention

GreCon DLD 1/9 – patented optical detector system combined with intelligent detection technology GreCon IDT

Fagus-GreCon has announced a new optical detector that identifies dangerous ignition sources. With it, spark detectors can now be customised to the requirements at the installation site with more precision than before.

This is made possible with multi-sensor technology which has been integrated in the optical detector to capture signals from the infrared radiation spectrum. According to the provider of fire prevention systems, GreCon IDT, the company’s intelligent detector technology, processes the signals generated and causes the desired reaction within a matter of milliseconds.

With the IDT, the spark detector detects all types of ignition sources, while at the same time reduces false alarms. This is so as the IDT separately captures extraneous light to automatically enable and disable sensors which are sensitive to light that comes from external light sources. 

Thus, the detector is able to differentiate between dangerous ignition sources and influences from extraneous light.  Undesired extinguishing processes triggered by false alarms are thus reduced.

Additionally, the optical detector system and IDT are featured in the GreCon DLD 1/9 spark detector. This parameterisable and VdS-certified detector performs optimally when it comes to the identification of all types of ignition sources in all environments. The DLD 1/9 is also able to identify sparks, glowing embers and hot, non-smouldering particles in high-temperature processes. 

Fagus-GreCon reports that its functionality is continuously monitored, and on a regular basis the sensitivity of the sensors used is automatically tested. While typical areas of application include drop chutes, mechanical conveyors and pneumatic conveyor pipes, the detector can also be used next to inspection hatches.

Michael Mehlhorn, director of Fagus-GreCon’s fire prevention R&D department, predicts that smart technology of this type will make predictive maintenance possible in the near future also in safety-relevant systems, such as spark extinguishing systems, thus making an important contribution to more efficient resource management.