基于网络的无线多平台系统的设计,用于使用模糊集合理论控制肉设施的热环境控制
Cosme Teixeira DA Silva1, Tadayuki Yanagi Junior2, Raphael Winckler DE Bettio3
1Universidade Federal de Lavras, Programa de Pós-Graduação em Engenharia Agrícola, Departamento de Engenharia Agrícola, Trevo Rotatório Professor Edmir Sá Santos, s/n, 37203-202 Lavras, MG, Brazil.
Anais da Academia Brasileira de Ciencias
|March 26, 2025
概括
这项研究开发了一个智能系统来控制肉鸟气候,减少热应激. 基于物联网的模糊控制器实现了98%的准确性,改善了鸟类福利和农场生产率.
科学领域:
- 农业工程 农业工程
- 人工智能的人工智能
- 环境控制系统环境控制系统
背景情况:
- 肉设施需要改进气候控制,以防止热应激和经济损失.
- 目前的监测系统不足以实现动态的热环境管理.
- 家禽的福利和生产力受到温度和湿度波动的重大影响.
研究的目的:
- 开发一个基于物联网的模糊控制器,用于自动化的鸟气候管理.
- 为实时监控和控制创建一个多平台的Web应用程序.
- 通过智能环境监管,减轻肉的热应激.
主要方法:
- 在物联网和农业4.0框架内在微控制器上实现模糊控制器.
- 使用温度和湿度传感器收集环境数据.
- 使用Web应用程序和MQTT协议进行数据传输和系统通信.
- 应用重心法去模糊,以确定最佳的气候设置.
主要成果:
- 开发的智能原型在验证过程中实现了98%的准确性.
- 该系统有效地控制了1至49天的肉1至49天的鸟热环境.
- 输入变量包括黑球湿度指数 (BGHI) 和鸟类年龄用于决策.
结论:
- 低成本的智能系统为肉设施提供了一个实用的农业 4.0 解决方案.
- 使用模糊控制器的自动气候控制成功地减轻了热应激.
- 该系统有可能显著减少家禽养殖的生产率损失.
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