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Improving Bee Living Conditions through Ecological Thermal Insulation and Remote Early Anomaly Detection-Vital Step Towards Preserving Bees Population Cover

Improving Bee Living Conditions through Ecological Thermal Insulation and Remote Early Anomaly Detection-Vital Step Towards Preserving Bees Population

Open Access
|Aug 2024

Figures & Tables

Fig. 1.

Concept of IoB system structure
Concept of IoB system structure

Fig. 2.

Chicken feathers (a) and wool (b)
Chicken feathers (a) and wool (b)

Fig. 3.

Thermal insulation cover
Thermal insulation cover

Fig. 4.

Temperature of the internal surfaces of composite nonwoven samples versus exposure time of their external surfaces to thermal radiation with a flux density of 3 kW/m2Sample 1 – composite nonwoven sample; thermal radiation fell on the white foilSample 2 – composite nonwoven sample; thermal radiation fell on the black foilWith PES-Al. Foil – Sample 2 + aluminized PES foil; thermal radiation fell on the PES foil
Temperature of the internal surfaces of composite nonwoven samples versus exposure time of their external surfaces to thermal radiation with a flux density of 3 kW/m2Sample 1 – composite nonwoven sample; thermal radiation fell on the white foilSample 2 – composite nonwoven sample; thermal radiation fell on the black foilWith PES-Al. Foil – Sample 2 + aluminized PES foil; thermal radiation fell on the PES foil

Fig. 5.

Temperature of the internal surfaces of foils samples versus exposure time of their external surfaces to thermal radiation with a flux density of 3 kW/m2
Temperature of the internal surfaces of foils samples versus exposure time of their external surfaces to thermal radiation with a flux density of 3 kW/m2

Fig. 6.

Diagram comparing the principle of operation of a traditional hive and intelligent hive
Diagram comparing the principle of operation of a traditional hive and intelligent hive

Fig. 7.

Seasonal analysis of hive parameters from an experimental beehive
Seasonal analysis of hive parameters from an experimental beehive

Fig. 8.

Density distribution of hive temperature measurements in experimental hive
Density distribution of hive temperature measurements in experimental hive

Fig. 9

Density distribution of hive humidity measurements in experimental hive
Density distribution of hive humidity measurements in experimental hive

Fig. 10.

Density plot of beehive weight of experimental hive
Density plot of beehive weight of experimental hive

Fig. 11.

Density distribution of sound frequency in a beehive
Density distribution of sound frequency in a beehive

Fig. 12.

Comparison of temperatures inside the hive with and without covers
Comparison of temperatures inside the hive with and without covers

Fig. 13.

Diagram of how the algorithm for detecting diseases in bees works
Diagram of how the algorithm for detecting diseases in bees works

Fig. 14.

Experimental intelligent apiary
Experimental intelligent apiary

Values of indicators characterizing the thermal insulation of the systems tested

SamplesHeat transfer level, t12, sHeat transmission factor,
Nonwoven fabrics
Sample 11200.19
Sample 21160.20
PES-Al foilafter 120 s of exposure to thermal radiation, the temperature of the sample increased by 2.1°C0.05
Foils
Black430.98
White450.95
PES-Al foilafter 45 s of exposure to thermal radiation, the sample temperature increased by 0.8°C0.06
DOI: https://doi.org/10.2478/ftee-2024-0025 | Journal eISSN: 2300-7354 | Journal ISSN: 1230-3666
Language: English
Page range: 1 - 12
Published on: Aug 19, 2024
Published by: Łukasiewicz Research Network, Institute of Biopolymers and Chemical Fibres
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2024 Sebastian Górecki, Krystyna Wrześniewska-Tosik, Tomasz Mik, Tomasz Kowalewski, Damian Walisiak, Michalina Pałczyńska, Ewa Wesołowska, published by Łukasiewicz Research Network, Institute of Biopolymers and Chemical Fibres
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.