人工智能在智能物流中的应用 -计算机科学与技术专业

摘要

随着物流行业规模的持续扩大，传统物流模式面临效率低下、成本高昂等挑战，人工智能技术为智能物流发展提供了新的契机。本研究旨在探讨人工智能在智能物流中的应用，以提升物流系统的智能化水平和运营效率。通过文献综述与案例分析相结合的方法，系统梳理了人工智能技术如机器学习、计算机视觉、自然语言处理等在物流规划、仓储管理、运输调度、配送服务等环节的应用现状。研究发现，人工智能能够优化物流路径规划，提高仓库自动化作业能力，实现货物精准识别与跟踪，增强客户服务体验。创新性地提出基于深度学习的智能预测模型，可准确预估物流需求并动态调整资源配置；构建了多智能体协同决策框架，有效解决复杂物流场景下的任务分配问题。研究表明，人工智能技术的应用不仅降低了物流成本，提高了运作效率和服务质量，还推动了物流行业的转型升级，为智能物流的发展提供了理论依据和技术支撑，具有重要的现实意义和广阔的应用前景。

关键词：人工智能智能物流机器学习

Abstract

With the continuous expansion of the logistics industry, traditional logistics models are confronted with challenges such as low efficiency and high costs, while artificial intelligence (AI) technology offers new opportunities for the development of intelligent logistics. This study aims to explore the application of AI in intelligent logistics to enhance the intelligence level and operational efficiency of logistics systems. By integrating literature review and case analysis, this research systematically examines the current applications of AI technologies, including machine learning, computer vision, and natural language processing, in various logistics processes such as logistics planning, warehouse management, transportation scheduling, and delivery services. The findings indicate that AI can optimize logistics route planning, improve the automation capabilities of warehouses, achieve precise cargo identification and tracking, and enhance customer service experiences. Innovatively, a deep learning-based intelligent prediction model is proposed, which can accurately forecast logistics demand and dynamically adjust resource allocation; a multi-agent collaborative decision-making fr amework is also constructed to effectively address task allocation issues in complex logistics scenarios. The study demonstrates that the application of AI technology not only reduces logistics costs, improves operational efficiency and service quality, but also promotes the transformation and upgrading of the logistics industry, providing theoretical foundations and technical support for the development of intelligent logistics, with significant practical implications and broad application prospects.

Keyword:Artificial Intelligence Intelligent Logistics Machine Learning

1绪论 1

1.1人工智能与智能物流的背景意义 1

1.2国内外研究现状综述 1

1.3研究方法与技术路线 2

2智能物流系统架构设计 2

2.1物流系统的智能化需求 2

2.2人工智能技术框架构建 3

2.3关键技术集成与应用 3

3智能仓储管理中的AI应用 4

3.1仓储布局优化算法 4

3.2库存管理智能决策 4