Beehive Air Sampling and Sensing Device Operation in Apicultural Applications—Methodological and Technical Aspects

The basis of effective beekeeping is the information about the state of the bee colony. A rich source of respective information is beehive air. This source may be explored by applying gas sensing. It allows for classifying bee colony states based on beehive air measurements. In this work, we discussed the essential aspects of beehive air sampling and sensing device operation in apicultural applications. They are the sampling method (diffusive vs. dynamic, temporal aspects), sampling system (sample probe, sampling point selection, sample conditioning unit and sample delivery system) and device operation mode (‘exposure-cleaning’ operation). It was demonstrated how factors associated with the beehive, bee colony and ambient environment define prerequisites for these elements of the measuring instrument. These requirements have to be respected in order to assure high accuracy of measurement and high-quality information. The presented results are primarily based on the field measurement study performed in summer 2020, in three apiaries, in various meteorological conditions. Two exemplars of a prototype gas sensing device were used. These sensor devices were constructed according to our original concept.

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88. A Laboratory Evaluation of a Personal Air Sampling System for Airborne Enzymes

10.3320/1.2758995 ◽

2006 ◽

Author(s):

A. Panepinto ◽

M. Emley ◽

R. Hunt ◽

I. Christie

Keyword(s):

Air Sampling ◽

Laboratory Evaluation ◽

Sampling System ◽

Personal Air Sampling

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A Three-Dimensional Visualization Framework for Underground Geohazard Recognition on Urban Road-Facing GPR Data

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi9110668 ◽

2020 ◽

Vol 9 (11) ◽

pp. 668

Author(s):

Zhenwu Wang ◽

Benting Wan ◽

Mengjie Han

Keyword(s):

Three Dimensional ◽

Pso Algorithm ◽

Sampling Point ◽

Compute Unified Device Architecture ◽

Point Selection ◽

Triangulated Irregular Network ◽

Device Architecture ◽

Ground Penetrating ◽

Geometry Method ◽

Difficult Issue

The identification of underground geohazards is always a difficult issue in the field of underground public safety. This study proposes an interactive visualization framework for underground geohazard recognition on urban roads, which constructs a whole recognition workflow by incorporating data collection, preprocessing, modeling, rendering and analyzing. In this framework, two proposed sampling point selection methods have been adopted to enhance the interpolated accuracy for the Kriging algorithm based on ground penetrating radar (GPR) technology. An improved Kriging algorithm was put forward, which applies a particle swarm optimization (PSO) algorithm to optimize the Kriging parameters and adopts in parallel the Compute Unified Device Architecture (CUDA) to run the PSO algorithm on the GPU side in order to raise the interpolated efficiency. Furthermore, a layer-constrained triangulated irregular network algorithm was proposed to construct the 3D geohazard bodies and the space geometry method was used to compute their volume information. The study also presents an implementation system to demonstrate the application of the framework and its related algorithms. This system makes a significant contribution to the demonstration and understanding of underground geohazard recognition in a three-dimensional environment.

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A Strategy to Improve O2 Gas Response of La-SnO2 Nanofibers Based Sensor through Temperature Modulation

Materials Science Forum ◽

10.4028/www.scientific.net/msf.944.657 ◽

2019 ◽

Vol 944 ◽

pp. 657-665

Author(s):

Ya Xiong ◽

Hui Li ◽

Tian Chao Guo ◽

Qing Zhong Xue

Keyword(s):

Gas Sensors ◽

Gas Sensing ◽

Operation Mode ◽

Temperature Modulation ◽

Oxide Semiconductors ◽

Oxygen Ions ◽

Isothermal Test ◽

Sensor Temperature ◽

Heating Energy Consumption ◽

Gas Response

Generally sensing mechanisms of gas sensors based on metal-oxide semiconductors greatly depend on temperature, suggesting temperature modulation can be applied as a vital method to effectively enhance the sensor response. In this paper, we reported a strategy of quick-cooling operating temperature mode in the course of gas sensing process to elevate the O2 gas response while maintaining low heating energy consumption. La-SnO2 nanofibers synthesized by electrospinning were chosen as gas sensing materials. The O2 gas responses by employing quick-cooling operation mode are significantly improved compared with those obtained by traditional isothermal test. The improved O2 response is contributed to a higher coverage of negatively charged oxygen ions as a result of quick cooling. Our research offers a facile route to detect gas at low temperature with high response. More importantly, the strategy demonstrated here could also be extended to other gas sensor as long as its gas response is related to the sensor temperature.

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