We are thrilled to have had the opportunity to participate as an exhibitor at the International Symposium on Olfaction and Electronic Nose (ISOEN) 2024, held in Grapevine, Texas, from May 12th to 15th.
ISOEN is the world’s premier technical conference in artificial chemoreception, olfaction, and taste. This event provided a platform for scientists, engineers, and practitioners to share their latest findings, innovations, and products in the field of artificial chemoreception.
Our presence at ISOEN 2024 was an exceptional opportunity to share our expertise and innovative solutions in the field of industrial odor monitoring. We showcased innovative solutions that redefine standards. By seamlessly integrating smart sensors with cutting-edge data processing techniques, we offer more effective ways to address odor-related challenges in industries.
Conference sponsors:
IEEE, Sensors Council
ISOCS, International Society for Olfaction and Chemical Sensing
Patrons
Baylor University
Identifying odor sources
During this conference, we had the chance to present a paper and a poster on a topic that is particularly important to us: technologies and data processing methods for identifying odor sources. Our paper highlights the seamless integration of smart sensors (Instrumental Odour Monitoring System – IOMS) with advanced statistical data processing techniques in the field.
The standard method for measuring odor concentrations, dynamic olfactometry (EN 13725:2022 – ASTM E679:2019), does not always meet the needs of industrial sites requiring continuous monitoring and rapid results for remediation actions. In this context, our solution was particularly relevant for a large animal feed production company in Germany, specializing in poultry waste. This company, faced urgent challenges in real-time assessment of gas and odor emissions from its operations.
The successful deployment of the Instrumental Odour Monitoring System (IOMS) network on the production site and in the surrounding area allowed for:
> A better understanding of sources of olfactory nuisance.
> Real-time evaluation of odor levels triggering alerts for rapid remediation actions.
> Precise identification of odor-emitting sources.
> Real-time characterization of olfactory nuisances facilitating rapid implementation of remediation measures.
> Correlation analysis between odor levels and operational activities to refine processes and mitigate potential nuisances.