Integrating Internet of Things, Provenance, and Blockchain to Enhance Trust in Last Mile Food Deliveries
Integrating Internet of Things, Provenance, and Blockchain to Enhance Trust in Last Mile Food Deliveries
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DOI：
10.3389/fsufs.2020.563424
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发表时间：
2020-11-17
影响因子：
4.7
通讯作者：
Strachan, Norval J. C.
中科院分区：
文献类型：
--
作者：
Markovic, Milan;Jacobs, Naomi;Strachan, Norval J. C.
在本文中，我们讨论了实现基于物联网的食品安全监控原型解决方案的经验，该解决方案集成了用于监控食品配送的廉价现成开源物联网技术、用于管理和推理食品安全来源记录的语义服务以及用于持久和安全存储语义来源图的私有区块链网络。我们描述了如何利用对现实世界环境的观察来开发原型设备，以及将这些原型部署为食品配送过程的一部分的现场试验的结果。结果表明，连续、环境敏感、值得信赖的温度测量可以为整个交付路径中的多个利益相关者带来好处。然而，必须密切关注所使用的技术，因为廉价的多功能物联网设备可能会产生低质量的传感器观测结果，从而对整体解决方案的效用产生不利影响。我们的经验还表明，未来的食品安全管理系统可能需要包括机器可处理的指南，以支持对原始传感器数据进行分析，以确保食品安全合规性。
In this article, we discuss our experience of realizing a prototype IoT-based food safety monitoring solution which integrates inexpensive off-the-shelf open source IoT technology for monitoring food deliveries, semantic services for managing and reasoning about food safety provenance records, and private blockchain networks for persistent and secure storage of semantic provenance graphs. We describe how observation of real-world contexts was used to develop a prototype device, and the results of field trials deploying these prototypes as part of the food delivery process. Results indicate that continuous, context sensitive, trustworthy temperature measurement could provide benefits to multiple stakeholders across the delivery pathway. However, close attention has to be paid to the technology used-as cheap multi-functional IoT devices may produce low quality sensor observations which adversely affect the utility of the overall solution. Our experience also suggests that future food safety management systems may need to include machine-processable guidelines to support analysis of raw sensor data for food safety compliance.