摘 要
随着全球食品贸易和医药物流的快速发展，冷链物流作为保障产品质量与安全的关键环节，其温度控制技术的重要性日益凸显。本研究旨在探索冷链物流中温度控制技术的创新路径及其实际应用效果，以解决传统温控手段存在的效率低、能耗高及精准性不足等问题。通过文献分析、实验验证和案例研究相结合的方法，本文系统评估了多种新型温控技术，包括物联网感知技术、相变材料储能技术和智能算法优化等，并结合实际场景对其性能进行了测试。研究结果表明，基于物联网的实时监控系统显著提升了温度数据采集的准确性和响应速度，而相变材料的应用则有效降低了冷链运输中的温度波动风险。此外，智能算法在优化冷藏设备运行模式方面表现出优异潜力，可实现能源消耗的显著降低。本研究的核心创新点在于将多学科技术融合应用于冷链物流领域，提出了兼具高效性与经济性的综合解决方案。这一成果不仅为行业提供了技术升级的方向，也为未来冷链物流的智能化发展奠定了理论与实践基础。
关键词：冷链物流；温度控制技术；物联网感知；相变材料；智能算法优化
Abstract
With the rapid development of global food trade and pharmaceutical logistics, cold chain logistics has emerged as a critical link in ensuring product quality and safety, highlighting the growing importance of temperature control technologies. This study aims to explore innovative approaches for temperature control technologies in cold chain logistics and evaluate their practical application effects to address issues such as low efficiency, high energy consumption, and insufficient accuracy associated with traditional temperature control methods. By integrating literature analysis, experimental validation, and case studies, this paper systematically assesses various advanced temperature control technologies, including Internet of Things (IoT) sensing technology, phase change material energy storage technology, and intelligent algorithm optimization, while testing their performance in real-world scenarios. The results indicate that IoT-based real-time monitoring systems significantly enhance the accuracy and response speed of temperature data collection, while the application of phase change materials effectively reduces temperature fluctuation risks during cold chain transportation. Furthermore, intelligent algorithms demonstrate excellent potential in optimizing the operating modes of refrigeration equipment, achieving substantial reductions in energy consumption. A core innovation of this study lies in the integration of multidisciplinary technologies into the field of cold chain logistics, proposing a comprehensive solution that balances efficiency and cost-effectiveness. This outcome not only provides a direction for technological upgrades in the industry but also lays a theoretical and practical foundation for the future智能化 development of cold chain logistics.
Keywords: Cold Chain Logistics; Temperature Control Technology; Internet Of Things Perception; Phase Change Materials; Intelligent Algorithm Optimization
目 录
一、绪论 1
（一）冷链物流温度控制的研究背景 1
（二）温度控制技术在冷链物流中的意义 1
（三）国内外研究现状与发展趋势 1
二、冷链物流中温度控制的关键技术分析 2
（一）温度监测技术的创新与发展 2
（二）冷链运输中的制冷技术应用 2
（三）数据驱动的温度管理技术优化 3
三、温度控制技术创新对冷链物流的影响 3
（一）创新技术提升冷链效率的路径 4
（二）智能化技术在温度控制中的作用 4
（三）温度控制创新对食品质量保障的影响 5
四、温度控制技术的实际应用与案例研究 5
（一）典型冷链物流场景中的温度控制实践 5
（二）温度控制技术在生鲜配送中的应用 6
（三）基于数据反馈的温度控制改进策略 6
结论 7
参考文献 8
致 谢 9
