智能餐厅研究的趋势:图书统计审查和研究议程
Alejandro Valencia-Arias1, Sebastián Cardona-Acevedo2, Ezequiel Martínez Rojas3
1School of Industrial Engineering, Universidad Senor de Sipan, Chiclayo, Lambayeque, 14001, Peru.
F1000Research
|September 8, 2025
概括
智能餐厅使用物联网 (IoT) 和机器人等技术来改善服务. 研究表明,美国,印度和中国在这个领域处于领先地位,中国是机器人应用的先驱.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 机器人技术 机器人技术 机器人技术
背景情况:
- 餐厅自动化正在通过物联网 (IoT),机器学习和大数据等技术改变行业.
- 这些技术提高了服务提供,用户体验和餐厅的数据可追溯性.
- 收集用户反和情绪分析有助于决策和预测食物偏好.
研究的目的:
- 探索智能餐厅当前的研究趋势.
- 专注于改善餐厅服务和决策的技术应用.
主要方法:
- 根据PRISMA-2020指南进行了参考资料分析.
- 从Scopus和Web of Science数据库中审查了94个学术文件.
- 审查的重点是智能餐厅系统,物联网和自动化技术.
主要成果:
- 美国,印度和中国是智能餐厅研究的主要贡献者.
- 中国在餐饮行业的物联网架构和机器人技术方面取得了重大进展.
- 餐厅机器人的中国创新在学术文献中经常被引用.
结论:
- 物联网,机器学习,RFID和大数据是餐厅自动化的关键驱动力.
- 美国,印度和中国领导智能餐厅研究,中国在机器人和物联网应用方面表现出色.
- 这项研究为未来的食品选择和服务优化预测建模研究提供了基础.
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