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Concept of a gas-se...
Concept of a gas-sensitive nano aerial robot swarm for indoor air quality monitoring
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- Neumann, Patrick P. (author)
- Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin, Germany
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- Hüllmann, Dino, 1988- (author)
- Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin, Germany,AASS MRO Lab
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- Bartholmai, Matthias (author)
- Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin, Germany
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(creator_code:org_t)
- Bukarest, Romania, 2018
- 2018
- English.
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In: 35th Danubia-Adria Symposium on Advances in Experimental Mechanics. - Bukarest, Romania. - 9786062308742 ; , s. 139-140
- Related links:
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https://urn.kb.se/re...
Abstract
Subject headings
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- In industrial environments, airborne by-products such as dust and (toxic) gases, constitute a major risk for the worker’s health. Major changes in automated processes in the industry lead to an increasing demand for solutions in air quality management. Thus, occupational health experts are highly interested in precise dust and gas distribution models for working environments. For practical and economic reasons, high-quality, costly measurements are often available for short time-intervals only. Therefore, current monitoring procedures are carried out sparsely, both in time and space, i.e., measurement data are collected in single day campaigns at selected locations only. Real-time knowledge of contaminant distributions inside the working environment would also provide means for better and more economic control of air impurities. For example, the possibility to regulate the workspace’s ventilation exhaust locations can reduce the concentration of airborne contaminants by 50%. To improve the occupational health and safety of (industrial) workplaces, this work aims for developing a swarm of gas-sensitive aerial nano robots for monitoring indoor air quality and for localizing potential emission sources.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Robotteknik och automation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Robotics (hsv//eng)
Keyword
- Gas sensing
- Mobile Robot Olfaction
- nano aerial robot
- swarm
- Computer Science
- Datavetenskap
Publication and Content Type
- ref (subject category)
- kon (subject category)
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