Optimized for real-time insights along fencelines

Outdoor noise management relies on two key aspects: measuring sound levels to ensure compliance with regulations, and accurately identifying noise sources for targeted nuisance management. Ellona‘s WT1 Lite and WT1 Pro devices address these needs. These devices precisely monitor outdoor sound levels to ensure compliance with authorized thresholds, whether in urban or industrial environments. They provide continuous monitoring of sound intensities and allow for adjustments in control strategies based on changes in noise levels. The WT1 Pro goes further by offering a detailed analysis of sound signatures through artificial intelligence algorithms and databases. Additionally, with the EllonaSoft platform,the collected data is centralized, analyzed, and used to optimize noise nuisance management, helping to secure people, infrastructure, and the environment.

To identify and measure fine particles (including PM1, PM2.5, PM10) on industrial or construction sites, Ellona offers tailored solutions such as Dustkair, a portable device designed to be worn close to the respiratory pathways. It allows real-time measurement of inhaled particles, including crystalline silica, a highly carcinogenic element. Ellona also offers fixed systems like the WT1 Lite and WT1 Pro, which provide continuous monitoring of particles outdoors. These devices not only identify sources of particulate pollution and track concentration changes over time but also centralize data through the EllonaSoft platform. This platform facilitates optimal health risk management by enabling precise tracking and rapid response to any concentration threshold exceedances.

Thanks to real-time multivariate analysis, Ellona provides ultra-precise identification of the nature and sources of gas emissions. The WT1 Pro device integrates up to 6 electrochemical sensors and 2 optical sensors (or 1 optical and 1 PID), while the WT1 Lite can contain up to 4 electrochemical sensors and 1 optical sensor, with the option to choose from a list of 25 different gases.

The EllonaSoft platform processes this data every 10 seconds to identify, locate, and dynamically model emissions, integrating meteorological data and AI algorithms.

The result? Precise detection, intelligent alerts, and automated corrective actions—ideal for industrial sites, smart cities, ports, and airports.

No, the analysis of H₂S (hydrogen sulfide) and NH₃ (ammonia) molecules is not sufficient to assess all odors (odours) present in an environment. Although these molecules are commonly analyzed using electrochemical sensors, they only represent a fraction of the odor (odour) compounds. Hydrogen sulfide and ammonia are indeed important components of certain odor (odour) nuisances, but many other chemical compounds are responsible for varied and complex odors, such as aldehydes, volatile fatty acids, and mercaptans, which are not detected by these traditional technologies. This is precisely what the MOX (Metal Oxide Semiconductor) sensors used in Ellona devices, such as the WT1 Lite, the WT1 Pro (specifically designed for outdoor use), and the POD2 (adapted for indoor environments), are capable of detecting.

Odors (odours) are measured, identified, and precisely located by deploying devices either at the source (technical facilities, industrial sites, etc.) or on the periphery of sites to monitor dispersion and assess the impact of olfactory nuisances.

Ellona’s devices, such as the  WT1 Pro  and  WT1 Lite ,do more than just measure odor (odour) levels. Thanks to a combination of MOS sensors and advanced data processing based on multivariate statistics and artificial intelligence, our sensors can accurately identify the nature and sources of olfactory nuisances. The WT1 Pro, designed for confined sources, is particularly well-suited for this task, while the WT1 Lite is dedicated to monitoring the periphery of sites, tracking odor (odour) dispersion in the environment.

Ellona also relies on several recognized methodologies to identify odor (odour) sources:

• source observation,
• clustering, the FISOL methodology,
• and dynamic olfactometry (EN 13725), which is only possible with the WT1 Pro.

These approaches analyze nuisances based on their temporal recurrence, intensity, frequency, and duration. All collected data is integrated into atmospheric dispersion models that factor in meteorological conditions (wind direction and speed, temperature, humidity, etc.), allowing for a comprehensive analysis of odor (odour) propagation and the optimization of nuisance reduction strategies.