An automatic, wireless audio recording node for analysis of beehives

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.

[1]  Prajakta Kulkarni,et al.  mPHASiS: Mobile patient healthcare and sensor information system , 2011, J. Netw. Comput. Appl..

[2]  Michele Magno,et al.  Ensuring Survivability of Resource-Intensive Sensor Networks Through Ultra-Low Power Overlays , 2014, IEEE Transactions on Industrial Informatics.

[3]  Miodrag Potkonjak,et al.  Smart kindergarten: sensor-based wireless networks for smart developmental problem-solving environments , 2001, MobiCom '01.

[4]  Michele Magno,et al.  Multi-modal Video Surveillance Aided by Pyroelectric Infrared Sensors , 2008 .

[5]  Michele Magno,et al.  Adaptive power control for solar harvesting multimodal wireless smart camera , 2009, 2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC).

[6]  Michele Magno,et al.  Design, characterization and management of a wireless sensor network for smart gas monitoring , 2011, 2011 4th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI).

[7]  Michele Magno,et al.  Development of an heterogeneous wireless sensor network for instrumentation and analysis of beehives , 2015, 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings.

[8]  Eva Crane,et al.  The World History of Beekeeping and Honey Hunting , 1999 .

[9]  Marcelo A. Aizen,et al.  The Global Stock of Domesticated Honey Bees Is Growing Slower Than Agricultural Demand for Pollination , 2009, Current Biology.

[10]  Michele Magno,et al.  Wake-up radio receiver based power minimization techniques for wireless sensor networks: A review , 2014, Microelectron. J..

[11]  Halit Eren,et al.  Electronic sensing and identification of queen bees in honeybee colonies , 1997, IEEE Instrumentation and Measurement Technology Conference Sensing, Processing, Networking. IMTC Proceedings.

[12]  S. Ferraria,et al.  Monitoring of swarming sounds in bee hives for early detection of the swarming period , 2008 .

[13]  Michele Magno,et al.  Power management techniques for Wireless Sensor Networks: A review , 2013, 5th IEEE International Workshop on Advances in Sensors and Interfaces IWASI.

[14]  Michele Magno,et al.  Reconfiguration Strategies for Environmentally Powered Devices: Theoretical Analysis and Experimental Validation , 2007, Trans. High Perform. Embed. Archit. Compil..

[15]  J. Simpson The mechanism of honey-bee queen piping , 1964, Zeitschrift für vergleichende Physiologie.

[16]  Michele Magno,et al.  Towards persistent structural health monitoring through sustainable wireless sensor networks , 2011, 2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

[17]  Michele Magno,et al.  An energy efficient multimodal Wireless Video Sensor Network with eZ430–RF2500 modules , 2010, 5th International Conference on Pervasive Computing and Applications.