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The hazards of respirable industrial dust

“That which cannot be measured cannot be proven”

Anthony W. Richardson

The invisible threats posed by respirable industrial dust are anything but negligible. Extended exposure can escalate into dire health consequences, such as asthma, silicosis, chronic obstructive pulmonary disease (COPD), and even cancer.

Our monitoring system, Arpuro, enables an overview of your particulate matter exposure in real time. This isn't just about adhering to regulations—it's an investment in your most valuable asset, your people. It's a commitment to sustainable practices and a testament to the foresight of protecting health before harm can occur. With Arpuro, we provide clarity about your exposure.

Arpuro—our sensor system

Discover Arpuro, our respirable industrial dust sensor system, crafted to deliver continuous real-time particulate matter monitoring in demanding industrial environments.

Accurate

By integrating laboratory precision with field calibration techniques and our data analytics, Arpuro offers accurate industrial air quality monitoring.

Reliable

Arpuro sensors are developed for longevity in harsh conditions, with self-cleaning functionality and a made-for-repair design.

Easy-to-install

The meters connect automatically to the platform using cellular communication. Installation is, therefore, swift, requiring nothing but a power supply.

Applications

For industrial indoor particulate matter measurements of PM₂‎.₅, respirable fraction, PM₁₀, and total suspended particles (TSP) as well as humidity and temperature.

Metallurgical process

Mining and crushing

Construction

Industry

Navigate the unseen

The Arpuro platform offers comprehensive management of dust formation. Its real-time data integration, quick and user-friendly interface, along with open data export make it straightforward to observe the impact of your procedures on dust formation, the effectiveness of mitigation tactics, and long-term trends.

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Coordinated and distributed

Arpuro's network of sensors provides detailed insight into dust formation patterns on your site.

Local precision

The system is calibrated against each sensor location. Calibration is automatically updated when the sensor is moved.

Full data access

Through integration, application interfaces (API) or direct download in the user portal.

Analytics

Access analytics tools for diagnostics and identification of the dust formation sources.

About us

Our portfolio spans multiple safety and condition monitoring services, such as airborne dust monitoring solutions, data analytics platforms, and software for condition monitoring used commercially in offshore and shipping applications.

Learn more

Signal Analysis Lab's dust monitoring system, Arpuro, is a game-changer for our HSE monitoring. The system is easy to install, user-friendly, and requires minimal maintenance. It guides us to make the right decisions regarding dust reduction and detecting airborne dust leakages

Ketil Nystrøm

EHS Manager, Elkem Tana – The world's largest quartzite mine

Ketil Nystrøm

EHS Manager, Elkem Tana – The world's largest quartzite mine

Signal Analysis Lab and UiA cooperate on a joint research project to estimate long-term energy production in floating offshore wind turbines. This project is a joint venture between SAL, UiA, UiS and UiB. Together, we have also published a paper, "Prediction of dynamic mooring responses of a floating wind turbine using an artificial neural network", together with some of my students. SAL also delivered a guest lecture on calculating envelope spectrums for condition monitoring. The company's work is rigorous, and they exhibit deep knowledge of the fundamentals of statistics, signal processing and machine learning; I am pleased to recommend them.

Dr. Zhiyu Jiang

Associate Professor, University of Agder

Dr. Zhiyu Jiang

Associate Professor, University of Agder

Signal Analysis Lab is collaborating closely with us to develop our state-of-the-art intelligent condition monitoring solution, skAIWatch. This platform is essential for our condition monitoring solutions. Signal Analysis Lab has been instrumental in creating the system, from data integration, infrastructure, analysis, reporting and documentation to desktop applications and the web portal. We are pleased with the result and the quality of their work, and would like to give them our warmest recommendation.

Eivind Vethe

Vice President Digital Business Development, Moreld Moholt Group

Eivind Vethe

Vice President Digital Business Development, Moreld Moholt Group

Signal Analysis Lab and Dtecto have been cooperating since 2018 to develop the analysis engine of our sensor for detecting when loose stone chippings collide with windshields on vehicles, such as cars, buses and semis. This detection reduces operating costs of transportation companies by roughly 30%. SAL is an essential partner in developing our solutions, and we are thankful for our long and close cooperation.

Tom Roger Larsen

CTO, Dtecto

Tom Roger Larsen

CTO, Dtecto

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