摘 要
随着农业现代化进程的加速，传统农业机械作业管理方式已难以满足精准化、智能化的需求，基于物联网技术的农业机械作业管理系统应运而生。本研究旨在开发一套集数据采集、传输、处理与决策支持于一体的农业机械作业管理系统，以提升农业生产效率和资源利用水平。通过部署传感器网络和通信模块，系统能够实时监测农业机械的运行状态及作业环境参数，并结合云计算平台实现数据的高效存储与分析。研究采用模块化设计方法，构建了包括数据感知层、网络传输层、数据分析层和应用服务层在内的多层级架构。实验结果表明，该系统可显著提高农业机械作业的精确度和灵活性，同时降低人工干预成本。本研究的创新点在于将物联网技术与农业机械管理深度融合，提出了适应复杂农田环境的动态优化算法，为智慧农业的发展提供了技术支持和实践参考。
关键词：农业机械作业管理；物联网技术；动态优化算法；数据感知层；智慧农业
DEVELOPMENT OF AN AGRICULTURAL MACHINERY OPERATION MANAGEMENT SYSTEM BASED ON THE INTERNET OF THINGS
ABSTRACT
With the accelerating process of agricultural modernization, traditional agricultural machinery operation management methods can no longer meet the demands for precision and intelligence, leading to the emergence of agricultural machinery operation management systems based on Internet of Things (IoT) technology. This study aims to develop an integrated agricultural machinery operation management system that incorporates data acquisition, transmission, processing, and decision support to enhance the efficiency of agricultural production and the level of resource utilization. By deploying a sensor network and communication modules, the system is capable of real-time monitoring of the operational status of agricultural machinery and environmental parameters during operations, while leveraging cloud computing platforms for efficient data storage and analysis. A modular design approach was adopted to construct a multi-layered architecture consisting of a data perception layer, network transmission layer, data analysis layer, and application service layer. Experimental results indicate that this system can significantly improve the accuracy and flexibility of agricultural machinery operations while reducing the cost of human intervention. The innovation of this research lies in the deep integration of IoT technology with agricultural machinery management, proposing a dynamic optimization algorithm adaptable to complex farmland environments, thereby providing technical support and practical references for the development of smart agriculture.
KEY WORDS：Agricultural Machinery Operation Management；Internet Of Things Technology；Dynamic Optimization Algorithm；Data Perception Layer；Smart Agriculture
目 录
摘 要 I
ABSTRACT II
第一章 绪论 1
1.1 农业机械管理的背景与意义 1
1.2 物联网在农业机械领域的研究现状 1
第二章 系统需求分析 1
2.1 农业机械作业管理的核心需求 1
2.2 物联网技术在系统中的应用需求 2
2.3 系统功能与性能需求分析 2
第三章 系统设计与架构 3
3.1 系统整体架构设计 3
3.2 数据采集与传输模块设计 3
3.3 作业监控与调度模块设计 4
第四章 系统实现与测试 4
4.1 系统开发环境与关键技术 4
4.2 功能实现与集成测试 5
4.3 测试结果与性能评估 5
结 论 6
参考文献 7
致 谢 8
