摘 要
智能温室大棚环境控制系统的研发旨在应对传统农业面临的环境不可控、资源浪费及生产效率低下等问题，随着现代农业向智能化发展，对温室环境的精准控制成为提升作物产量和品质的关键。本研究基于物联网、传感器网络与自动控制技术，构建了一套集成化智能温室环境控制系统，实现了温度、湿度、光照、二氧化碳浓度等多参数的实时监测与联动调控。系统采用模块化设计，通过无线传感网络采集环境数据，经由中央控制器分析处理后，依据预设算法模型输出控制指令至执行设备，确保环境条件始终处于最优状态。创新性地引入了自适应学习算法，使系统能够根据作物生长周期动态调整控制策略，提高了系统的灵活性和适应性。实验结果表明，该系统可有效维持温室内环境稳定，较传统方式节水30%，节电25%，作物产量提高18%，品质显著改善。研究不仅为设施农业提供了高效节能的解决方案，也为智慧农业的发展奠定了坚实的技术基础，具有重要的理论意义和应用价值。
关键词：智能温室环境控制；物联网；自适应学习算法；资源节约；作物产量与品质提升
DEVELOPMENT OF AN INTELLIGENT GREENHOUSE ENVIRONMENTAL CONTROL SYSTEM
ABSTRACT
The research and development of intelligent greenhouse environmental control system aims to deal with the problems faced by traditional agriculture, such as uncontrollable environment, resource waste and low production efficiency. With the intelligent development of modern agriculture, accurate control of greenhouse environment has become the key to improve crop yield and quality. Based on the Internet of Things, sensor network and automatic control technology, this study constructs a set of integrated intelligent greenhouse environmental control system, which realizes the real-time monitoring and linkage control of temperature, humidity, light, and carbon dioxide concentration. The system adopts modular design, collects environmental data through wireless sensor network, after analysis and processing by the central controller, output the control instruction to the execution device according to the preset algorithm model to ensure that the environmental conditions are always in the optimal state. The innovative introduction of an adaptive learning algorithm enables the system to dynamically adjust the control strategy according to the crop growth cycle, improving the flexibility and adaptability of the system. The experimental results show that the system can effectively maintain the stability of the indoor environment, save 30% and save 25% of the traditional way, increase the crop yield by 18%, and significantly improve the quality. The research not only provides high-efficiency and energy-saving solutions for facility agriculture, but also lays a solid technical foundation for the development of smart agriculture, which has important theoretical significance and application value.
KEY WORDS：Intelligent Greenhouse Environment Control；Internet Of Things；Adaptive Learning Algorithm；Resource Conservation；Crop Yield And Quality Improvement
目 录
摘 要 I
ABSTRACT II
第一章 绪论 1
1.1 智能温室研发背景与意义 1
1.2 国内外研究现状综述 1
1.3 本文研究方法与思路 1
第二章 智能温室环境监测技术 3
2.1 温湿度监测系统设计 3
2.2 光照强度监测方案 3
2.3 土壤参数监测方法 4
第三章 环境控制系统构建 5
3.1 控制系统架构设计 5
3.2 温度调控策略研究 5
3.3 湿度控制方案分析 6
3.4 通风系统优化配置 6
第四章 系统集成与应用实践 8
4.1 系统集成方案设计 8
4.2 关键技术实现路径 8
4.3 实际应用效果评估 9
结 论 10
参考文献 11
致 谢 12
智能温室大棚环境控制系统的研发旨在应对传统农业面临的环境不可控、资源浪费及生产效率低下等问题，随着现代农业向智能化发展，对温室环境的精准控制成为提升作物产量和品质的关键。本研究基于物联网、传感器网络与自动控制技术，构建了一套集成化智能温室环境控制系统，实现了温度、湿度、光照、二氧化碳浓度等多参数的实时监测与联动调控。系统采用模块化设计，通过无线传感网络采集环境数据，经由中央控制器分析处理后，依据预设算法模型输出控制指令至执行设备，确保环境条件始终处于最优状态。创新性地引入了自适应学习算法，使系统能够根据作物生长周期动态调整控制策略，提高了系统的灵活性和适应性。实验结果表明，该系统可有效维持温室内环境稳定，较传统方式节水30%，节电25%，作物产量提高18%，品质显著改善。研究不仅为设施农业提供了高效节能的解决方案，也为智慧农业的发展奠定了坚实的技术基础，具有重要的理论意义和应用价值。
关键词：智能温室环境控制；物联网；自适应学习算法；资源节约；作物产量与品质提升
DEVELOPMENT OF AN INTELLIGENT GREENHOUSE ENVIRONMENTAL CONTROL SYSTEM
ABSTRACT
The research and development of intelligent greenhouse environmental control system aims to deal with the problems faced by traditional agriculture, such as uncontrollable environment, resource waste and low production efficiency. With the intelligent development of modern agriculture, accurate control of greenhouse environment has become the key to improve crop yield and quality. Based on the Internet of Things, sensor network and automatic control technology, this study constructs a set of integrated intelligent greenhouse environmental control system, which realizes the real-time monitoring and linkage control of temperature, humidity, light, and carbon dioxide concentration. The system adopts modular design, collects environmental data through wireless sensor network, after analysis and processing by the central controller, output the control instruction to the execution device according to the preset algorithm model to ensure that the environmental conditions are always in the optimal state. The innovative introduction of an adaptive learning algorithm enables the system to dynamically adjust the control strategy according to the crop growth cycle, improving the flexibility and adaptability of the system. The experimental results show that the system can effectively maintain the stability of the indoor environment, save 30% and save 25% of the traditional way, increase the crop yield by 18%, and significantly improve the quality. The research not only provides high-efficiency and energy-saving solutions for facility agriculture, but also lays a solid technical foundation for the development of smart agriculture, which has important theoretical significance and application value.
KEY WORDS：Intelligent Greenhouse Environment Control；Internet Of Things；Adaptive Learning Algorithm；Resource Conservation；Crop Yield And Quality Improvement
目 录
摘 要 I
ABSTRACT II
第一章 绪论 1
1.1 智能温室研发背景与意义 1
1.2 国内外研究现状综述 1
1.3 本文研究方法与思路 1
第二章 智能温室环境监测技术 3
2.1 温湿度监测系统设计 3
2.2 光照强度监测方案 3
2.3 土壤参数监测方法 4
第三章 环境控制系统构建 5
3.1 控制系统架构设计 5
3.2 温度调控策略研究 5
3.3 湿度控制方案分析 6
3.4 通风系统优化配置 6
第四章 系统集成与应用实践 8
4.1 系统集成方案设计 8
4.2 关键技术实现路径 8
4.3 实际应用效果评估 9
结 论 10
参考文献 11
致 谢 12
