Flexible IoT Gas Sensor Node for Automated Life Science Environments Using Stationary and Mobile Robots

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 partia...

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Autores principales: Sebastian Neubert, Thomas Roddelkopf, Mohammed Faeik Ruzaij Al-Okby, Steffen Junginger, Kerstin Thurow
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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IoT
Acceso en línea:https://doaj.org/article/4efec63532d048eb8a2e08148c0023a4
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spelling oai:doaj.org-article:4efec63532d048eb8a2e08148c0023a42021-11-11T19:17:24ZFlexible IoT Gas Sensor Node for Automated Life Science Environments Using Stationary and Mobile Robots10.3390/s212173471424-8220https://doaj.org/article/4efec63532d048eb8a2e08148c0023a42021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7347https://doaj.org/toc/1424-8220In 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.Sebastian NeubertThomas RoddelkopfMohammed Faeik Ruzaij Al-OkbySteffen JungingerKerstin ThurowMDPI AGarticleIoTsensor nodelife scienceautomationlaboratorymobile robotChemical technologyTP1-1185ENSensors, Vol 21, Iss 7347, p 7347 (2021)
institution DOAJ
collection DOAJ
language EN
topic IoT
sensor node
life science
automation
laboratory
mobile robot
Chemical technology
TP1-1185
spellingShingle IoT
sensor node
life science
automation
laboratory
mobile robot
Chemical technology
TP1-1185
Sebastian Neubert
Thomas Roddelkopf
Mohammed Faeik Ruzaij Al-Okby
Steffen Junginger
Kerstin Thurow
Flexible IoT Gas Sensor Node for Automated Life Science Environments Using Stationary and Mobile Robots
description 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.
format article
author Sebastian Neubert
Thomas Roddelkopf
Mohammed Faeik Ruzaij Al-Okby
Steffen Junginger
Kerstin Thurow
author_facet Sebastian Neubert
Thomas Roddelkopf
Mohammed Faeik Ruzaij Al-Okby
Steffen Junginger
Kerstin Thurow
author_sort Sebastian Neubert
title Flexible IoT Gas Sensor Node for Automated Life Science Environments Using Stationary and Mobile Robots
title_short Flexible IoT Gas Sensor Node for Automated Life Science Environments Using Stationary and Mobile Robots
title_full Flexible IoT Gas Sensor Node for Automated Life Science Environments Using Stationary and Mobile Robots
title_fullStr Flexible IoT Gas Sensor Node for Automated Life Science Environments Using Stationary and Mobile Robots
title_full_unstemmed Flexible IoT Gas Sensor Node for Automated Life Science Environments Using Stationary and Mobile Robots
title_sort flexible iot gas sensor node for automated life science environments using stationary and mobile robots
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/4efec63532d048eb8a2e08148c0023a4
work_keys_str_mv AT sebastianneubert flexibleiotgassensornodeforautomatedlifescienceenvironmentsusingstationaryandmobilerobots
AT thomasroddelkopf flexibleiotgassensornodeforautomatedlifescienceenvironmentsusingstationaryandmobilerobots
AT mohammedfaeikruzaijalokby flexibleiotgassensornodeforautomatedlifescienceenvironmentsusingstationaryandmobilerobots
AT steffenjunginger flexibleiotgassensornodeforautomatedlifescienceenvironmentsusingstationaryandmobilerobots
AT kerstinthurow flexibleiotgassensornodeforautomatedlifescienceenvironmentsusingstationaryandmobilerobots
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