Abstract
In many special agricultural environments, many wireless sensors have a problem of power supply selection. Energy harvesting in the agricultural environment based on vortex-induced vibration (VIV) has the potential to solve the problem. In this paper, an energy harvester based on the VIV is designed in an agricultural environment. Relevant parameters of the harvester are studied with wind tunnel experiment to improve the efficiency of energy conversation. The results show that: (i) For large mass ratio, m*≫1, and the same mass ratio m*, the smaller the damping ratio ζ, the larger the normalized amplitude A*, the larger the maximum efficiency η of VIV energy harvesting; (ii) m*≫1, and under a certain range of Reynolds numbers, the smaller the mass-damping parameter m*ζ, the larger the normalized amplitude A*, the larger the maximum and average efficiency η of VIV energy harvesting. (iii) m*≫1, the larger the mass ratio m*, the larger the range of resonance; the normalized frequency f*≃1, the stable VIV locked state appears. The research results can provide references for the design of VIV energy harvesters in agricultural environments.
Highlights
Within the rapid development of the Internet of Things, big data, artificial intelligence, etc., and wireless sensor networks are widely used in military, environmental monitoring, intelligent agriculture, and other fields [1,2]
The stable working power of the wireless sensor is usually between 2 mW and 3 mW, the current research results of related Vortex-Induced Vibration (VIV) energy harvesters show that when the harvester is in resonance, the maximum output power can fully meet the power of the wireless sensor for stable operation [13]
In order to explore the ζ impact on the energy collection of the cantilever beam connected to the cylinder, VIV experiment of the same mass ratio m∗ but different damping ratio ζ were designed, and the cylinder VIV amplitude was collected by a laser displacement meter
Summary
Within the rapid development of the Internet of Things, big data, artificial intelligence, etc., and wireless sensor networks are widely used in military, environmental monitoring, intelligent agriculture, and other fields [1,2]. The stable working power of the wireless sensor is usually between 2 mW and 3 mW, the current research results of related VIV energy harvesters show that when the harvester is in resonance, the maximum output power can fully meet the power of the wireless sensor for stable operation [13] This will make the energy harvester a new choice for wireless sensor network nodes to supply power, especially in the agricultural environment where it is impossible or inconvenient to replace the traditional power source-battery, such as sewage treatment water quality monitoring [14], farmland water saving irrigation monitoring, agricultural greenhouse environment monitoring, and agricultural environment monitoring of breeding houses [2] in extreme cold areas (Traditional batteries will not work properly in extremely cold areas).
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