摘 要
随着食品安全问题日益受到关注,农产品溯源体系的建设成为保障食品质量安全的重要环节。本研究针对传统溯源系统存在的信息孤岛、数据可信度低等问题,提出基于农业物联网技术的农产品全生命周期溯源解决方案。研究采用多源异构数据融合技术,构建了包含环境感知、生产管理、物流运输和销售终端的完整溯源链条。通过部署无线传感器网络、RFID标签和区块链技术,实现了农产品从种植到消费的全过程信息采集与可信存储。实验结果表明,该系统能够实时监测农产品生长环境参数,准确率达98.7%;在数据传输效率方面较传统系统提升约35%,且具有较高的抗篡改能力。创新性地将边缘计算与区块链相结合,解决了海量数据处理与隐私保护之间的矛盾,为农产品质量安全提供了可靠的技术支撑。
关键词:农产品溯源;农业物联网;区块链技术;多源异构数据融合
APPLICATION OF AGRICULTURAL INTERNET OF THINGS TECHNOLOGY IN AGRICULTURAL PRODUCTS TRACEABILITY
ABSTRACT
With the increasing concern of food safety, the construction of agricultural product traceability system has become an important link to ensure food quality and safety. Aiming at the problems of information island and low reliability of data existing in traditional traceability system, this study proposed a solution of agricultural product life cycle traceability based on agricultural Internet of Things technology. The research uses multi-source heterogeneous data fusion technology to build a complete traceability chain including environment perception, production management, logistics transportation and sales terminals. Through the deployment of wireless sensor networks, RFID tags and blockchain technology, the whole process of information collection and trusted storage of agricultural products from planting to consumption is realized. The experimental results show that the system can monitor the environment parameters of agricultural products in real time with an accuracy of 98.7%. Compared with the traditional system, the data transmission efficiency is improved by about 35%, and it has high tamper resistance. The innovative combination of edge computing and blockchain solves the contradiction between massive data processing and privacy protection, and provides reliable technical support for the quality and safety of agricultural products.
KEY WORDS:Traceability of agricultural products; Agricultural Internet of Things; Blockchain technology; Multi-source heterogeneous data fusion
目 录
摘 要 I
ABSTRACT II
第1章 绪论 1
1.1 研究背景及意义 1
1.2 农产品溯源领域研究现状 1
第2章 农业物联网技术体系构建 2
2.1 农产品溯源系统架构设计 2
2.2 感知层关键技术实现 2
2.3 网络传输层技术选型 3
2.4 数据处理与应用层功能开发 3
第3章 农产品溯源系统实现路径 4
3.1 生产环节信息采集方案 4
3.2 流通环节数据追踪机制 4
3.3 质量安全预警模型构建 5
3.4 消费者查询平台设计 5
第4章 应用效果评估与优化建议 7
4.1 典型应用案例分析 7
4.2 系统运行效能评估指标 7
4.3 现存问题与改进方向 8
第5章 结论 9
参考文献 10
致 谢 11