走向智能酒系统 (IOS):从自动感应到酒中的主动控制
Guangyi Yang1, Xiaohua Ma1, Xinlong Chen1
1College of Enology, Northwest A&F University, Xianyang, Shaanxi, China.
Comprehensive reviews in food science and food safety
|December 29, 2025
概括
智能酒使用人工智能和物联网传感器进行精确的控制,提高葡萄酒质量和可持续性. 这种智能方法提高了葡萄到老化的酒过程,尽管存在整合挑战.
科学领域:
- 葡萄酒学和葡萄种植
- 农业工程 农业工程
- 计算机科学 计算机科学
背景情况:
- 传统的酒正在随着数据驱动技术的发展而发展.
- 智能传感,人工智能和控制系统是关键的创新.
- 智能酒旨在提高精度和产品的一致性.
研究的目的:
- 提出一个智能酒系统 (IOS) 的概念.
- 审查智能酒技术的最新进展.
- 突出智能酒对未来产业的潜力.
主要方法:
- 关注物联网 (IoT) 设备和传感器网络.
- 利用基于人工智能的建模,包括机器学习和数字双胞胎.
- 审查传感器部署以实时监控 (温度,pH值,溶氧,光谱,气体演变).
主要成果:
- 多模式传感器可实现全面的实时监控.
- 人工智能模型有助于预测性发酵控制和基于数据的风味定位.
- 技术提高了过程的精度,减少了资源的使用,并确保了一致性.
结论:
- 数据互操作性和模型解释性等挑战仍然存在.
- 边缘计算和标准化本体学提供了新兴的解决方案.
- 智能酒与可持续性,可追溯性和个性化的风味目标保持一致.
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