传感器技术在农业机械设备故障诊断中的应用
摘 要
随着现代农业机械设备的复杂性不断增加，故障诊断的准确性和效率成为保障农业生产的关键因素。传感器技术凭借其高灵敏度和实时监测能力，逐渐成为农业机械设备故障诊断的重要工具。本研究旨在探讨传感器技术在农业机械设备故障诊断中的应用，通过集成多种传感器（如振动传感器、温度传感器和压力传感器）构建了一个多参数监测系统。研究首先分析了不同类型传感器的工作原理及其在农业机械设备中的适用性，随后设计并实现了基于物联网的实时数据采集与处理平台。实验结果表明，该系统能够有效识别发动机、液压系统和传动系统的常见故障，准确率达到92%以上。与传统的人工巡检方法相比，该系统显著提高了故障诊断的效率和精度，减少了设备停机时间。此外，研究还发现，通过机器学习算法对传感器数据进行分析，可以进一步提高故障预测的准确性。
关键词：传感器技术；农业机械设备；故障诊断
APPLICATION OF SENSOR TECHNOLOGY IN FAULT DIAGNOSIS OF AGRICULTURAL MACHINERY EQUIPMENT
ABSTRACT
With the increasing complexity of modern agricultural machinery and equipment, the accuracy and efficiency of fault diagnosis have become the key factor to guarantee agricultural production. With its high sensitivity and real-time monitoring ability, sensor technology has gradually become an important tool for agricultural machinery and equipment fault diagnosis. The purpose of this study is to explore the application of sensor technology in fault diagnosis of agricultural mechanical equipment, and a multi-parameter monitoring system is constructed by integrating multiple sensors (e. g., vibration sensor, temperature sensor and pressure sensor). The study first analyzes the working principle of different types of sensors and their applicability in agricultural machinery and equipment, and then designs and realizes the real-time data acquisition and processing platform based on the Internet of Things. The experimental results show that the system can effectively identify the common faults of engine, hydraulic system and transmission system, with the accuracy of more than 92%. Compared with the traditional manual inspection method, the system significantly improves the efficiency and accuracy of fault diagnosis and reduces the equipment downtime. Moreover, it is also found that the analysis of sensor data by machine learning algorithm can further improve the accuracy of fault prediction.
KEY WORDS：Sensor technology; agricultural machinery and equipment; fault diagnosis
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 研究目的和内容 1
1.3 国内外研究现状 1
第2章 传感器技术在农业机械故障诊断中的基础理论 3
2.1 传感器技术的基本原理与分类 3
2.2 农业机械设备故障诊断的理论框架 3
2.3 传感器技术在农业机械中的应用现状 4
第3章 传感器类型及其在农业机械故障诊断中的应用 5
3.1 振动传感器在机械故障检测中的作用 5
3.2 温度传感器在发动机故障诊断中的应用 5
3.3 压力传感器在液压系统故障分析中的应用 6
第4章 基于传感器的农业机械故障诊断系统设计与实现 7
4.1 农业机械故障诊断系统的总体架构设计 7
4.2 数据采集与处理模块的设计与优化 7
4.3 基于传感器的故障模式识别算法研究 8
第5章 结论 9
参考文献 10
致 谢 11
摘 要
随着现代农业机械设备的复杂性不断增加，故障诊断的准确性和效率成为保障农业生产的关键因素。传感器技术凭借其高灵敏度和实时监测能力，逐渐成为农业机械设备故障诊断的重要工具。本研究旨在探讨传感器技术在农业机械设备故障诊断中的应用，通过集成多种传感器（如振动传感器、温度传感器和压力传感器）构建了一个多参数监测系统。研究首先分析了不同类型传感器的工作原理及其在农业机械设备中的适用性，随后设计并实现了基于物联网的实时数据采集与处理平台。实验结果表明，该系统能够有效识别发动机、液压系统和传动系统的常见故障，准确率达到92%以上。与传统的人工巡检方法相比，该系统显著提高了故障诊断的效率和精度，减少了设备停机时间。此外，研究还发现，通过机器学习算法对传感器数据进行分析，可以进一步提高故障预测的准确性。
关键词：传感器技术；农业机械设备；故障诊断
APPLICATION OF SENSOR TECHNOLOGY IN FAULT DIAGNOSIS OF AGRICULTURAL MACHINERY EQUIPMENT
ABSTRACT
With the increasing complexity of modern agricultural machinery and equipment, the accuracy and efficiency of fault diagnosis have become the key factor to guarantee agricultural production. With its high sensitivity and real-time monitoring ability, sensor technology has gradually become an important tool for agricultural machinery and equipment fault diagnosis. The purpose of this study is to explore the application of sensor technology in fault diagnosis of agricultural mechanical equipment, and a multi-parameter monitoring system is constructed by integrating multiple sensors (e. g., vibration sensor, temperature sensor and pressure sensor). The study first analyzes the working principle of different types of sensors and their applicability in agricultural machinery and equipment, and then designs and realizes the real-time data acquisition and processing platform based on the Internet of Things. The experimental results show that the system can effectively identify the common faults of engine, hydraulic system and transmission system, with the accuracy of more than 92%. Compared with the traditional manual inspection method, the system significantly improves the efficiency and accuracy of fault diagnosis and reduces the equipment downtime. Moreover, it is also found that the analysis of sensor data by machine learning algorithm can further improve the accuracy of fault prediction.
KEY WORDS：Sensor technology; agricultural machinery and equipment; fault diagnosis
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 研究目的和内容 1
1.3 国内外研究现状 1
第2章 传感器技术在农业机械故障诊断中的基础理论 3
2.1 传感器技术的基本原理与分类 3
2.2 农业机械设备故障诊断的理论框架 3
2.3 传感器技术在农业机械中的应用现状 4
第3章 传感器类型及其在农业机械故障诊断中的应用 5
3.1 振动传感器在机械故障检测中的作用 5
3.2 温度传感器在发动机故障诊断中的应用 5
3.3 压力传感器在液压系统故障分析中的应用 6
第4章 基于传感器的农业机械故障诊断系统设计与实现 7
4.1 农业机械故障诊断系统的总体架构设计 7
4.2 数据采集与处理模块的设计与优化 7
4.3 基于传感器的故障模式识别算法研究 8
第5章 结论 9
参考文献 10
致 谢 11
