Violino Simona, Figorilli Simone, Costa Corrado, Pallottino Federico
Consiglio per la Ricerca in Agricoltura e L'analisi Dell'economia Agraria (CREA)-Centro di Ricerca Ingegneria e Trasformazioni Agroalimentari-Via della Pascolare 16, 00015 Monterotondo (Rome), Italy.
Foods. 2020 Jul 17;9(7):950. doi: 10.3390/foods9070950.
The beer production chain includes some crucial steps regarding processing, delivery, service, and consumption that can benefit from the implementation of IoT (Internet of Things) based technologies. Large breweries implemented the use of sensors and digitization before smaller ones among which are craft breweries. Internet of Beer (IoB) technologies are becoming accessible to mid and small sized brewing companies. Therefore, the objective of this work is to review mainly low-cost IoB smart technologies that can be implemented from the mash to the final product and its service, to improve the brewing production, control, delivery, and final quality increasing profitability. The reviewed applications were retrieved both from the scientific databases and from the web. The work is structured in three macro areas such as beer processing, product logistics and traceability, and service. The results show a future trend characterized by a very fast increase in the use of IoB (also open source) systems to drive efficiency, productivity, quality, and safety. This will be done by real-time monitoring and a data-driven decision support system (DSS). Crucial aspects needing further investigation are data ownership and data standardization. The access price of IoB devices and software is destined for a significant decrease while their diversification on the market will grow leading to a massive future implementation within all the production levels.
啤酒生产链包括一些关键步骤，涉及加工、交付、服务和消费，这些环节可以从基于物联网（IoT）技术的实施中受益。大型啤酒厂在小型啤酒厂（包括精酿啤酒厂）之前就开始使用传感器和数字化技术。中小型酿造公司也能够使用啤酒物联网（IoB）技术。因此，这项工作的目标主要是回顾低成本的IoB智能技术，这些技术可以从糖化过程应用到最终产品及其服务中，以改善酿造生产、控制、交付并提高最终质量，从而增加盈利能力。所审查的应用程序均从科学数据库和网络中检索而来。这项工作分为三个宏观领域，即啤酒加工、产品物流与可追溯性以及服务。结果显示了一种未来趋势，其特点是IoB（包括开源）系统的使用将迅速增加，以提高效率、生产力、质量和安全性。这将通过实时监控和数据驱动的决策支持系统（DSS）来实现。需要进一步研究的关键方面是数据所有权和数据标准化。IoB设备和软件的接入价格将大幅下降，而其在市场上的多样化将增加，从而在所有生产层面实现大规模的未来应用。
