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• W3211545603 abstract "In recent years the degree of automation in life science laboratories increased considerably by introducing stationary and mobile robots. This trend requires intensified considerations of the occupational safety for cooperating humans, since the robots operate with low volatile compounds that partially emit hazardous vapors, which especially do arise if accidents or leakages occur. For the fast detection of such or similar situations a modular IoT-sensor node was developed. The sensor node consists of four hardware layers, which can be configured individually regarding basic functionality and measured parameters for varying application focuses. In this paper the sensor node is equipped with two gas sensors (BME688, SGP30) for a continuous TVOC measurement. In investigations under controlled laboratory conditions the general sensors' behavior regarding different VOCs and varying installation conditions are performed. In practical investigations the sensor node's integration into simple laboratory applications using stationary and mobile robots is shown and examined. The investigation results show that the selected sensors are suitable for the early detection of solvent vapors in life science laboratories. The sensor response and thus the system's applicability depends on the used compounds, the distance between sensor node and vapor source as well as the speed of the automation systems." @default.
• W3211545603 created "2021-11-22" @default.
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• W3211545603 date "2021-11-04" @default.
• W3211545603 modified "2023-09-26" @default.
• W3211545603 title "Flexible IoT Gas Sensor Node for Automated Life Science Environments Using Stationary and Mobile Robots" @default.
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• W3211545603 doi "https://doi.org/10.3390/s21217347" @default.
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