DocumentCode :
724774
Title :
An automatic, wireless audio recording node for analysis of beehives
Author :
Murphy, Fiona Edwards ; Srbinovski, Bruno ; Magno, Michele ; Popovici, Emanuel M. ; Whelan, Padraig M.
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. Coll. Cork, Cork, Ireland
fYear :
2015
fDate :
24-25 June 2015
Firstpage :
1
Lastpage :
6
Abstract :
Monitoring the sounds emitted by honey bees in a beehive is an important activity for beekeepers to ensure that their bee colonies remain healthy and to maximise productivity. A particular reproductive event called “swarming”, involves the departure of a queen bee with a large portion of the hive population. Swarming can be identified through sound, and if allowed to occur unchecked can lead to a drop in hive productivity or, in extreme cases, colony death. A method of effectively alerting the keeper that such an event is imminent would aid in protecting the honey bee population and reducing beekeeping costs. In this paper, a solution using off the shelf Wireless Sensor Network (WSN) technologies with low power signal processing to monitor colony sound, as well as the temperature and humidity of the hive interior is presented. The system provides alerts to the beekeeper when an event is detected. The node was designed to work with a larger sensor network designed for monitoring health and conditions of the beehive, and uses the network from this system to send alerts. An interrupt circuit provided a wake up signal to the node when the sound associated with an important event was detected. This made the solution ultra-low power, by turning on the recording circuits only when they were explicitly required. In this paper the design and development of the prototype system is described, with the results of preliminary tests and analysis. A power analysis and energy budget confirmed that the final solution was energy neutral, providing additional energy for recharging, even in the case of several recording alerts in a single day.
Keywords :
audio recording; low-power electronics; swarm intelligence; wireless sensor networks; WSN technologies; bee colonies; beehive; beekeepers; colony sound; energy budget; health monitoring; hive productivity; honey bee population; interrupt circuit; low power signal processing; power analysis; recording circuits; swarming; wake up signal; wireless audio recording; wireless sensor network technologies; Humidity; Microphones; Monitoring; Prototypes; Temperature measurement; Temperature sensors; Wireless sensor networks; Embedded digital signal processing; Environmental monitoring; Intenet of Things (IoT); Precision honey bee monitoring; Wireless Sensor Networks (WSN);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals and Systems Conference (ISSC), 2015 26th Irish
Conference_Location :
Carlow
Type :
conf
DOI :
10.1109/ISSC.2015.7163753
Filename :
7163753
Link To Document :
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