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Embedded Wireless Stingless Beehive Monitoring And Data Management System

机译:嵌入式无无缝蜂箱监控和数据管理系统

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In this paper, an embedded wireless stingless bee monitoring system, which investigates the environment's temperature and humidity effect on the bee activity and honey production of Heterotrigona Itama, a stingless bee species, is presented. The variables observed by the system are the weight of the honey container, the temperature inside the hive, humidity inside the hive, temperature of the environment outside of the hive, the humidity of the environment outside of the hive, and bee activity counter. The sensors used are Strain Gauge Load Cell (SGLC) sensor for weighing purposes, DHT22 sensors for temperature and humidity, and infrared transceivers bee counter sensor for bee activity monitoring. All installed sensors were controlled by using a NodeMCU microcontroller. All data were recorded and transferred to a Google Firebase real-time database. The proposed system offers an android application to access the recorded data called EMAS apps. EMAS fetches all the information from the database and represents it on graphs and pages in the user smart devices. This paper analyses the data obtained for 36 hours from a single hive. Results obtained represent a relationship between the temperature collected and bee activity with the honey produced. It was observed that in the morning, the increase of temperature leads to high traffic of bees going out of the hive, which decreases the weight of the hive to 2.7 Kg. Meanwhile, in the evening, the decrease in temperature leads to high traffic of bees going into the hive, which increases the hive weight to 4.5 Kg. For future work, to enhance the system's performance, installation of the embedded system into an array of hives was advised and longterm data observation process was required.
机译:本文介绍了一种嵌入式无缝蜂监测系统,调查了对蜜蜂活性和蜂蜜生产的环境的温度和湿度影响,无陶涛Itama,无缝蜜蜂物种。由系统观察到的变量是蜂蜜容器的重量,蜂巢内的温度,蜂巢内部的湿度,环境的温度在蜂巢之外,蜂巢之外的环境的湿度,蜂窝活动柜台。使用的传感器是用于称重目的的应变仪负载电池(SGLC)传感器,用于温度和湿度的DHT22传感器,以及用于蜂活动监测的红外收发器BEE计数器传感器。所有已安装的传感器都是通过使用Nodemcu微控制器来控制的。所有数据都被记录并转移到Google Firebase实时数据库。建议的系统提供了一个Android应用程序来访问名为EMAS应用程序的录制数据。 EMAS从数据库中获取所有信息,并表示在用户智能设备中的图形和页面上。本文从单个蜂巢中分析了所获得的36小时。得到的结果代表了收集的温度与产生的蜂蜜的活性与蜂蜜之间的关系。观察到,早上,温度的增加导致蜂巢的高流量,这降低了蜂巢的重量至2.7千克。同时,在晚上,温度下降导致高速公路进入蜂巢的蜂产力,这将佩塞尔重量增加到4.5千克。对于未来的工作,为了提高系统的性能,建议将嵌入式系统安装到荨麻疹数组中,并需要长期数据观察过程。

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