Monitoring System for Remote Bee Colony State Detection

A. Zacepins, A. Kviesis, V. Komašilovs, F. Muhammad
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引用次数: 13

Abstract

. Honeybees are the main pollinators for agricultural and horticultural plants. They help at least 30% of the worlds crops and 90% of the worlds wild plants to thrive via cross-pollination. To minimise the effect of on-site colony inspections application of Precision Beekeeping solutions are becoming increasingly frequent. Real time, remote monitoring of the colonies using ICT can help the beekeepers to detect abnormalities and identify states of the colony. For successful implementation of the Precision Beekeeping system development of the bee colony monitoring hardware solution and computer software for data collection and further analysis is needed. This paper describes authors developed bee colony monitoring system for the remote bee colony state detection. Bee colony weight together with temperature are the key metrics for state and behaviour analysis. Hardware of the developed monitoring system is based on the popular ESP8266 low-cost Wi-Fi microchip. Weight is measured using single point load cell with possibility to measure weight up to 200kg, which is enough for the bee colony measurements. Data transfer from the remote apiary is provided by the external 3G router. For data storage and analysis cloud-based data warehouse was developed. Collected data is accessible in the web system in real time. In addition, web tool for system power consumption and battery life evaluation was developed to assess monitoring system sustainability. Described monitoring system is developed within the Horizon 2020 project SAMS, which is funded by the European Union within the H2020-ICT-39-2016-2017
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远程蜂群状态检测监测系统
. 蜜蜂是农业和园艺植物的主要传粉者。它们通过异花授粉帮助世界上至少30%的农作物和90%的野生植物茁壮成长。为了尽量减少现场蜂群检查的影响,精密养蜂解决方案的应用越来越频繁。利用信息通信技术对蜂群进行实时远程监控,可以帮助养蜂人发现异常情况并确定蜂群的状态。为了成功实施精密养蜂系统,需要开发蜂群监测硬件解决方案和计算机软件来进行数据收集和进一步分析。本文介绍了作者开发的蜂群监测系统,用于远程监测蜂群状态。蜂群重量和温度是状态和行为分析的关键指标。所开发的监控系统的硬件是基于流行的ESP8266低成本Wi-Fi微芯片。重量测量使用单点称重传感器,可能测量重量高达200kg,这是足够的蜂群测量。来自远程养蜂场的数据传输由外部3G路由器提供。为了实现数据的存储和分析,开发了基于云的数据仓库。收集到的数据可以在web系统中实时访问。此外,开发了系统功耗和电池寿命评估网络工具,以评估监测系统的可持续性。所描述的监测系统是在地平线2020项目SAMS中开发的,该项目由欧盟在H2020-ICT-39-2016-2017中资助
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