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基于智能传感器的高级蜂箱监测测量系统。

A Smart Sensor-Based Measurement System for Advanced Bee Hive Monitoring.

机构信息

Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche, 60131 Ancona, Italy.

出版信息

Sensors (Basel). 2020 May 10;20(9):2726. doi: 10.3390/s20092726.

Abstract

The widespread decline of honey bee ( L.) colonies registered in recent years has raised great attention to the need of gathering deeper knowledge about this phenomenon, by observing the colonies' activity to identify possible causes, and design corresponding countermeasures. In fact, honey bees have well-known positive effects on both the environment and human life, and their preservation becomes critical not only for ecological reasons, but also for the social and economic development of rural communities. Smart sensor systems are being developed for real-time and long-term measurement of relevant parameters related to beehive conditions, such as the hive weight, sounds emitted by the bees, temperature, humidity, and CO 2 inside the beehive, as well as weather conditions outside. This paper presents a multisensor platform designed to measure the aforementioned parameters from beehives deployed in the field, and shows how the fusion of different sensor measurements may provide insights on the status of the colony, its interaction with the surrounding environment, and the influence of climatic conditions.

摘要

近年来,登记在册的蜜蜂(Apis mellifera)蜂群数量普遍下降,这引起了人们对深入了解这一现象的迫切需求,通过观察蜂群的活动来识别可能的原因,并设计相应的对策。事实上,蜜蜂对环境和人类生活有着众所周知的积极影响,它们的保护不仅对生态具有重要意义,而且对农村社区的社会和经济发展也具有重要意义。目前正在开发智能传感器系统,以便实时和长期测量与蜂箱条件相关的相关参数,例如蜂箱重量、蜜蜂发出的声音、温度、湿度、蜂箱内的二氧化碳以及外部天气条件。本文介绍了一种多传感器平台,用于测量部署在野外的蜂箱中的上述参数,并展示了如何融合不同传感器的测量结果,可以深入了解蜂群的状态、它与周围环境的相互作用以及气候条件的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c2f/7248914/99ac233b4883/sensors-20-02726-g001.jpg

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