多传感器监控,智能控制和数据处理,用于智能温室环境管理
Emmanuel Bicamumakuba1, Md Nasim Reza1,2, Hongbin Jin2
1Department of Agricultural Machinery Engineering, Graduate School, Chungnam National University, Daejeon 34134, Republic of Korea.
Sensors (Basel, Switzerland)
|October 16, 2025
概括
智能温室使用多传感器网络,智能控制和数据过用于精密农业. 本综述综合了用于高效,可扩展和弹性的智能温室系统的技术.
科学领域:
- 精准农业和可持续食品生产.
- 在受控环境农业中集成先进技术.
- 系统审查智能温室管理系统.
背景情况:
- 传统的温室依赖于手动监控,限制了效率和资源优化.
- 智能温室集成了传感器,物联网 (IoT) 和人工智能 (AI) 来实现自动化的环境控制.
- 需要系统地审查能够实现智能温室管理的核心技术.
研究的目的:
- 系统地研究智能温室管理的多传感器监控,智能控制和数据过技术.
- 为了比较各种传感器技术,控制策略和数据过方法.
- 综合对智能温室系统的技术性能和实施可行性的研究结果.
主要方法:
- 在主要数据库中对114项同行评审研究进行了结构化的文献选.
- 传感器技术的比较分析 (温度,湿度,二氧化碳,光,能量).
- 控制策略的评估 (物联网自动化,模糊逻辑,模型预测控制,强化学习) 和过方法 (时间/频率域,卡尔曼,基于AI,混合).
主要成果:
- 多传感器集成提高了精度和弹性,但面临着校准和互操作性挑战.
- 智能控制提高了能源和水效率,但需要强大的数据和计算能力.
- 先进的数据过确保了完整性,但引发了可扩展性和成本问题.
结论:
- 将技术性能与实施可行性联系起来,对于开发智能温室至关重要.
- 为了创建负担得起,可扩展和有弹性的智能温室系统,存在途径.
- 进一步的研究应该涉及校准,互操作性,数据要求和计算成本,以便广泛采用.
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