Feasibility of wireless horse monitoring using a kinetic energy harvester model
- Author
- Ben Van Herbruggen (UGent) , Jaron Fontaine (UGent) , Anniek Eerdekens (UGent) , Margot Deruyck (UGent) , Wout Joseph (UGent) and Eli De Poorter (UGent)
- Organization
- Abstract
- To detect behavioral anomalies (disease/injuries), 24 h monitoring of horses each day is increasingly important. To this end, recent advances in machine learning have used accelerometer data to improve the efficiency of practice sessions and for early detection of health problems. However, current devices are limited in operational lifetime due to the need to manually replace batteries. To remedy this, we investigated the possibilities to power the wireless radio with a vibrational piezoelectric energy harvester at the leg (or in the hoof) of the horse, allowing perpetual monitoring devices. This paper reports the average power that can be delivered to the node by energy harvesting for four different natural gaits of the horse: stand, walking, trot and canter, based on an existing model for a velocity-damped resonant generator (VDRG). To this end, 33 accelerometer datasets were collected over 4.5 h from six horses during different activities. Based on these measurements, a vibrational energy harvester model was calculated that can provide up to 64.04 mu W during the energetic canter gait, taking an energy conversion rate of 60% into account. Most energy is provided during canter in the forward direction of the horse. The downwards direction is less suitable for power harvesting. Additionally, different wireless technologies are considered to realize perpetual wireless data sensing. During horse training sessions, BLE allows continues data transmissions (one packet every 0.04 s during canter), whereas IEEE 802.15.4 and UWB technologies are better suited for continuous horse monitoring during less energetic states due to their lower sleep current.
- Keywords
- POWER, CLASSIFICATION, MANAGEMENT, NETWORKS, LAMENESS, TRACKING, animal behavior, horse gaits, horse health, energy harvesting, kinetic energy
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8681184
- MLA
- Van Herbruggen, Ben, et al. “Feasibility of Wireless Horse Monitoring Using a Kinetic Energy Harvester Model.” ELECTRONICS, vol. 9, no. 10, 2020, doi:10.3390/electronics9101730.
- APA
- Van Herbruggen, B., Fontaine, J., Eerdekens, A., Deruyck, M., Joseph, W., & De Poorter, E. (2020). Feasibility of wireless horse monitoring using a kinetic energy harvester model. ELECTRONICS, 9(10). https://doi.org/10.3390/electronics9101730
- Chicago author-date
- Van Herbruggen, Ben, Jaron Fontaine, Anniek Eerdekens, Margot Deruyck, Wout Joseph, and Eli De Poorter. 2020. “Feasibility of Wireless Horse Monitoring Using a Kinetic Energy Harvester Model.” ELECTRONICS 9 (10). https://doi.org/10.3390/electronics9101730.
- Chicago author-date (all authors)
- Van Herbruggen, Ben, Jaron Fontaine, Anniek Eerdekens, Margot Deruyck, Wout Joseph, and Eli De Poorter. 2020. “Feasibility of Wireless Horse Monitoring Using a Kinetic Energy Harvester Model.” ELECTRONICS 9 (10). doi:10.3390/electronics9101730.
- Vancouver
- 1.Van Herbruggen B, Fontaine J, Eerdekens A, Deruyck M, Joseph W, De Poorter E. Feasibility of wireless horse monitoring using a kinetic energy harvester model. ELECTRONICS. 2020;9(10).
- IEEE
- [1]B. Van Herbruggen, J. Fontaine, A. Eerdekens, M. Deruyck, W. Joseph, and E. De Poorter, “Feasibility of wireless horse monitoring using a kinetic energy harvester model,” ELECTRONICS, vol. 9, no. 10, 2020.
@article{8681184,
abstract = {{To detect behavioral anomalies (disease/injuries), 24 h monitoring of horses each day is increasingly important. To this end, recent advances in machine learning have used accelerometer data to improve the efficiency of practice sessions and for early detection of health problems. However, current devices are limited in operational lifetime due to the need to manually replace batteries. To remedy this, we investigated the possibilities to power the wireless radio with a vibrational piezoelectric energy harvester at the leg (or in the hoof) of the horse, allowing perpetual monitoring devices. This paper reports the average power that can be delivered to the node by energy harvesting for four different natural gaits of the horse: stand, walking, trot and canter, based on an existing model for a velocity-damped resonant generator (VDRG). To this end, 33 accelerometer datasets were collected over 4.5 h from six horses during different activities. Based on these measurements, a vibrational energy harvester model was calculated that can provide up to 64.04 mu W during the energetic canter gait, taking an energy conversion rate of 60% into account. Most energy is provided during canter in the forward direction of the horse. The downwards direction is less suitable for power harvesting. Additionally, different wireless technologies are considered to realize perpetual wireless data sensing. During horse training sessions, BLE allows continues data transmissions (one packet every 0.04 s during canter), whereas IEEE 802.15.4 and UWB technologies are better suited for continuous horse monitoring during less energetic states due to their lower sleep current.}},
articleno = {{1730}},
author = {{Van Herbruggen, Ben and Fontaine, Jaron and Eerdekens, Anniek and Deruyck, Margot and Joseph, Wout and De Poorter, Eli}},
issn = {{2079-9292}},
journal = {{ELECTRONICS}},
keywords = {{POWER,CLASSIFICATION,MANAGEMENT,NETWORKS,LAMENESS,TRACKING,animal behavior,horse gaits,horse health,energy harvesting,kinetic energy}},
language = {{eng}},
number = {{10}},
pages = {{22}},
title = {{Feasibility of wireless horse monitoring using a kinetic energy harvester model}},
url = {{http://doi.org/10.3390/electronics9101730}},
volume = {{9}},
year = {{2020}},
}
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