CONCEPT SOLUTION OF AUTONOMOUS IOT SMART HIVE AND OPTIMIZATION OF ENERGY CONSUMPTION USING ARTIFICIAL INTELLIGENCE

Nebojša Andrijević, D. Herceg, Srđan Maričić, Vladan Radivojevic, Goran Jocić
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Abstract

In this paper the authors present a conceptual solution for an autonomous smart beehive with a focus on energy efficiency; the hive's existence is based on artificial intelligence. The hive is equipped with an advanced system for monitoring the entry and exit of bees, as well as for collecting data on the weather inside and around the hive. Using an array of sensors controlled by Espressif ESP32 and Arduino Mega microcontroller boards, the hive continuously optimizes the operation of the ventilation system and other components, monitoring energy consumption and adapting to changing conditions. Special accents in the work are dedicated to the monitoring of the solar panel and, consequently, the capacity of the battery for independent power supply of the system, as well as the application of artificial intelligence to predict meteorological changes and optimize energy efficiency. This paper provides a comprehensive overview of the solutions and technologies that enable the autonomous and energy-efficient functioning of the Smart Hive.
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自主物联网智能蜂巢的概念解决方案以及利用人工智能优化能源消耗
在本文中,作者提出了一个自主智能蜂巢的概念解决方案,其重点是能源效率;蜂巢的存在基于人工智能。蜂箱配备了先进的系统,用于监控蜜蜂的进出以及收集蜂箱内部和周围的天气数据。蜂巢使用由 Espressif ESP32 和 Arduino Mega 微控制器板控制的传感器阵列,不断优化通风系统和其他组件的运行,监测能耗并适应不断变化的条件。工作中特别强调了对太阳能电池板的监控,以及因此对系统独立供电的电池容量的监控,还强调了人工智能在预测气象变化和优化能源效率方面的应用。本文全面概述了实现智能蜂巢自主节能运行的解决方案和技术。
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