摘 要
联合收割机智能化控制系统的研究与开发旨在应对现代农业生产中对高效、精准作业日益增长的需求，传统联合收割机在作业过程中存在效率低、损耗大等问题，为解决这些问题，本研究以提高联合收割机的智能化水平为目标，通过融合现代信息技术、自动化技术和农业机械技术，构建了一套完整的智能化控制系统。采用传感器网络实现对作物生长状况、环境参数以及机器运行状态的实时监测，利用无线通信技术将数据传输至控制中心，基于模糊逻辑算法和神经网络模型对数据进行分析处理，进而实现对联合收割机作业速度、切割高度等关键参数的智能调节。实验结果表明，该系统能够显著提高联合收割机的工作效率，降低粮食损失率约15%，减少燃油消耗约10%，并且提高了作业质量的稳定性。本研究的主要创新点在于首次将模糊逻辑与神经网络相结合应用于联合收割机控制领域，实现了从传统经验式操作向智能化精准作业的转变，为推动农业机械化向智能化方向发展提供了新的思路和技术支持。
关键词：联合收割机智能化；模糊逻辑与神经网络；实时监测与控制；作业效率提升；粮食损失率降低
RESEARCH AND DEVELOPMENT OF INTELLIGENT CONTROL SYSTEM FOR COMBINE HARVESTERS
ABSTRACT
The research and development of intelligent control systems for combine harvesters aim to address the growing demand for efficient and precise operations in modern agricultural production. Traditional combine harvesters suffer from low efficiency and high losses during operation. To solve these problems, this study focuses on enhancing the intelligence level of combine harvesters by integrating modern information technology, automation technology, and agricultural machinery technology to construct a comprehensive intelligent control system. A sensor network is employed to achieve real-time monitoring of crop growth conditions, environmental parameters, and machine operating status. Wireless communication technology transmits data to the control center where fuzzy logic algorithms and neural network models are utilized for data analysis and processing, thereby enabling intelligent adjustment of key parameters such as working speed and cutting height of the combine harvester. Experimental results indicate that this system can significantly improve the work efficiency of combine harvesters, reduce grain loss rate by approximately 15%, decrease fuel consumption by about 10%, and enhance the stability of operational quality. The primary innovation of this research lies in the first application of a combination of fuzzy logic and neural networks in the control field of combine harvesters, achieving a transformation from traditional experiential operation to intelligent precision operation, providing new ideas and technical support for promoting the development of agricultural mechanization towards intelligence.
KEY WORDS：Intelligent Combine Harvester；Fuzzy Logic And Neural Network；Real-time Monitoring And Control；Operation Efficiency Improvement；Grain Loss Rate Reduction
目 录
摘 要 I
ABSTRACT II
第一章 绪论 1
1.1 研究背景与意义 1
1.2 国内外研究现状 1
1.3 研究方法与技术路线 1
第二章 智能化控制系统需求分析 3
2.1 农业生产对智能化的需求 3
2.2 联合收割机作业特点分析 3
2.3 智能化控制系统的功能需求 4
第三章 关键技术研究与设计 5
3.1 传感器与数据采集技术 5
3.2 控制算法与决策模型 5
3.3 系统集成与优化设计 6
第四章 系统实现与测试验证 7
4.1 硬件平台搭建与软件开发 7
4.2 测试环境与实验方案 7
4.3 测试结果与性能分析 8
结 论 9
参考文献 10
致 谢 11
联合收割机智能化控制系统的研究与开发旨在应对现代农业生产中对高效、精准作业日益增长的需求，传统联合收割机在作业过程中存在效率低、损耗大等问题，为解决这些问题，本研究以提高联合收割机的智能化水平为目标，通过融合现代信息技术、自动化技术和农业机械技术，构建了一套完整的智能化控制系统。采用传感器网络实现对作物生长状况、环境参数以及机器运行状态的实时监测，利用无线通信技术将数据传输至控制中心，基于模糊逻辑算法和神经网络模型对数据进行分析处理，进而实现对联合收割机作业速度、切割高度等关键参数的智能调节。实验结果表明，该系统能够显著提高联合收割机的工作效率，降低粮食损失率约15%，减少燃油消耗约10%，并且提高了作业质量的稳定性。本研究的主要创新点在于首次将模糊逻辑与神经网络相结合应用于联合收割机控制领域，实现了从传统经验式操作向智能化精准作业的转变，为推动农业机械化向智能化方向发展提供了新的思路和技术支持。
关键词：联合收割机智能化；模糊逻辑与神经网络；实时监测与控制；作业效率提升；粮食损失率降低
RESEARCH AND DEVELOPMENT OF INTELLIGENT CONTROL SYSTEM FOR COMBINE HARVESTERS
ABSTRACT
The research and development of intelligent control systems for combine harvesters aim to address the growing demand for efficient and precise operations in modern agricultural production. Traditional combine harvesters suffer from low efficiency and high losses during operation. To solve these problems, this study focuses on enhancing the intelligence level of combine harvesters by integrating modern information technology, automation technology, and agricultural machinery technology to construct a comprehensive intelligent control system. A sensor network is employed to achieve real-time monitoring of crop growth conditions, environmental parameters, and machine operating status. Wireless communication technology transmits data to the control center where fuzzy logic algorithms and neural network models are utilized for data analysis and processing, thereby enabling intelligent adjustment of key parameters such as working speed and cutting height of the combine harvester. Experimental results indicate that this system can significantly improve the work efficiency of combine harvesters, reduce grain loss rate by approximately 15%, decrease fuel consumption by about 10%, and enhance the stability of operational quality. The primary innovation of this research lies in the first application of a combination of fuzzy logic and neural networks in the control field of combine harvesters, achieving a transformation from traditional experiential operation to intelligent precision operation, providing new ideas and technical support for promoting the development of agricultural mechanization towards intelligence.
KEY WORDS：Intelligent Combine Harvester；Fuzzy Logic And Neural Network；Real-time Monitoring And Control；Operation Efficiency Improvement；Grain Loss Rate Reduction
目 录
摘 要 I
ABSTRACT II
第一章 绪论 1
1.1 研究背景与意义 1
1.2 国内外研究现状 1
1.3 研究方法与技术路线 1
第二章 智能化控制系统需求分析 3
2.1 农业生产对智能化的需求 3
2.2 联合收割机作业特点分析 3
2.3 智能化控制系统的功能需求 4
第三章 关键技术研究与设计 5
3.1 传感器与数据采集技术 5
3.2 控制算法与决策模型 5
3.3 系统集成与优化设计 6
第四章 系统实现与测试验证 7
4.1 硬件平台搭建与软件开发 7
4.2 测试环境与实验方案 7
4.3 测试结果与性能分析 8
结 论 9
参考文献 10
致 谢 11
