农业机械智能化维护与故障诊断技术 -农业机械化及其自动化专业

摘要

随着农业现代化进程的加速，农业机械的智能化维护与故障诊断技术成为提升农业生产效率的关键。本研究旨在通过集成先进传感器、物联网和大数据分析技术，构建一套高效、精准的农业机械智能化维护与故障诊断系统，以解决传统维护方式中存在的响应滞后、诊断精度不足等问题。研究采用多源数据融合方法，结合机器学习算法，对农业机械运行状态进行实时监测与分析，并通过实验验证系统的可行性与有效性。结果表明，该系统能够显著提高故障诊断的准确率，降低维护成本，延长设备使用寿命。创新点在于首次将深度学习模型应用于农业机械故障预测，并结合中国农业生产实际需求，开发了适应性强、操作简便的智能维护平台。

关键词：农业机械智能化维护；故障诊断系统；多源数据融合

INTELLIGENT MAINTENANCE AND FAULT DIAGNOSIS TECHNOLOGY OF AGRICULTURAL MACHINERY

ABSTRACT

With the acceleration of agricultural modernization, the intelligent maintenance and fault diagnosis technology of agricultural machinery has become the key to improve agricultural production efficiency. This study aims to build an efficient and accurate intelligent maintenance and fault diagnosis system for agricultural machinery by integrating advanced sensors, Internet of Things and big data analysis technology, so as to solve problems such as response lag and insufficient diagnostic accuracy in traditional maintenance methods. The multi-source data fusion method combined with machine learning algorithm was used to monitor and analyze the running state of agricultural machinery in real time, and the feasibility and effectiveness of the system was verified by experiments. The results show that the system can significantly improve the accuracy of fault diagnosis, reduce the maintenance cost and extend the service life of the equipment. The innovation point is that the deep learning model is applied to the prediction of agricultural machinery failure for the first time, and combined with the actual needs of China's agricultural production, the intelligent maintenance platform with strong adaptability and easy operation is developed.

KEY WORDS：Intelligent Maintenance Of Agricultural Machinery; Fault Diagnosis System; Multi-Source Data Fusion

摘要 I

ABSTRACT II

第1章绪论 2

1.1 研究背景及意义 2

1.2 农业机械智能化维护与故障诊断技术的研究意义 2

第2章农业机械智能化维护技术的关键问题 3

2.1 农业机械智能化维护的技术框架 3

2.2 传感器技术在智能维护中的应用 3

2.3 数据驱动的维护决策优化方法 4

2.4 智能维护系统的实现路径 4

第3章农业机械故障诊断技术的核心挑战 5