Course Description:
Recorded at AIHce EXP 2023
Presentations
Sensor Networks for Data Driven Exposure Identification and Control
Dust management and control often is among the most difficult tasks for due to a lack of real-time data. Exposures to dust in as a result of processing operations can create serious health hazards due to the presence of respirable crystalline silica. Current methods of measurement and compliance rely on filter-based sampling or complex instrumentation, making data collection far too infrequent. Industrial Hygienists thus are unable to make real-time decisions on the effectiveness of engineering controls. A new class of high accuracy, cost-effective dust sensors has recently become available, helping industrial hygienists with effective dust management in areas such as ventilation control, PPE administration, and engineering controls. In this presentation, an overview of cost-effective dust sensor technologies, along with considerations around data quality, networking, infrastructure, and deployment best practices will be provided. Finally, a case study on real-world deployments will be presented along with a future outlook of cost-effective sensor networks.
Co-Authors
T, Chadha, Applied Particle Technology, Boise, Idaho, J, Patts, NIOSH, Pittsburg, Pennsylvania, USA. USA J Smith, Applied Particle Technology, Boise, Idaho, USA, B Holen, 3M, Minneapolis Minnesota
Acknowledgements & References
none
Author
Tandeep Chadha, PhD, Applied Particle Technology Boise, ID
United States of America
Development and Evaluation of a Low-Cost TVOC Sensor System for Trigger Sampling for Indoor and Workplace Exposure Assessments
This research examines a novel approach to sampling VOCs in real-time with remote triggering of evacuated canisters to collect time weighted average samples. The resulting methodologies could be employed in workplace and home environments to further improve exposure assessment and control technologies. Monitoring volatile organic compounds (VOCs) in work-place environments is critical from a human and environmental health perspective, but this effort is complicated by the diversity of their composition and sources. Additionally, VOC sources can vary over time and not be homogeneously distributed in workplace environments. The current approach of monitoring VOC concentrations sporadically and at selected locations may not always be helpful in identifying and eliminating problem exposures. In addition, connectivity is pervasive across our personal and workplace lives, thus the availability of this technology could enhance the exposure assessment for workers in a variety of industries as well as residential exposures. Timely air monitoring in turn could support a better understanding of exposures and the decisions to reduce potentially harmful effects. Cloud-driven automation enables monitors to stream data and trigger response to odors, leaks, failures in equipment and processes.
Co-Authors
Matt Skeels, Chemistry Department, Saint Lawrence University, Canton NY
Suresh Dhaniyala, Bayard D. Clarkson Distinguished Professor / Co-Director of CAARES • Mechanical & Aerospace Eng
Acknowledgements & References
none
Author
Alan Rossner, PhD, CIH, Clarkson University Potsdam, NY
United States of America
Contact Hours:
1
Presentation Date:
05/22/2023
Presenters:
Alan Rossner, PhD, CIH
Tandeep Chadha, PhD
