TY - GEN A1 - Neumann, Patrick P. A1 - Bartholmai, Matthias T1 - Concept of a gas-sensitive nano aerial robot swarm for indoor air quality monitoring N2 - 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. T2 - Tag der offenen Tür auf dem Testgelände der BAM (BAM TTS) CY - Baruth/Mark - OT Horstwalde, Germany DA - 29.09.2018 KW - Mobile Robot Olfaction KW - Swarm KW - Nano aerial robot KW - Gas sensing PY - 2018 UR - https://opus4.kobv.de/opus4-bam/frontdoor/index/index/docId/46147 AN - OPUS4-46147 AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany