PDAS

Low-Cost Innovation for Civil Applications

Our Professional Distributed Acoustic Sensing (PDAS) solution redefines infrastructure monitoring by combining high-fidelity performance with an optimized architecture tailored for the civil market. Unlike traditional monitoring systems, Aragon Photonics’ PDAS offers a low-cost alternative without compromising the ability to detect, locate, and classify vibrations with metric precision over tens of kilometers of standard fiber optic cable. It is the ideal tool for smart traffic management, perimeter security, and asset protection where economic efficiency is as vital as technical rigor.

We understand that innovation thrives on the freedom to experiment. Therefore, we offer our PDAS interrogator as a stand-alone unit, enabling research centers, universities, and technology partners to acquire the hardware independently to develop their own applications and processing algorithms. This flexibility transforms our equipment into an open platform for creating customized solutions in diverse sectors such as seismology, leak detection, or structural health monitoring, always guaranteeing maximum transparency regarding its specifications and capabilities.

Linear measurement

Linearity implies that the measurement varies in proportion to variations in the perturbations received from the input. The Absence of it causes harmonics to enter the signal, resulting in the disappearance of the original slope and preventing the observed perturbations from behaving as they truly would.
HDAS is linear, does not introduce harmonics.
The measurement changes in direct proportion to a change in the input perturbation.
HDAS provides high-fidelity measurements, improving pattern analysis and reducing the number of incorrect classifications.

Quantitative measurement

A quantitative measurement provides the capability of quantifying the sensed perturbations, which means that each of those perturbations are detected as a concrete strain or temperature value and that their variations can be followed and characterized.
The detected variations are measurable as strain or temperature values.
Quantitative information is much more meaningful.
Thresholding becomes much easier reducing false alarms.

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