<div> &nbsp;随着现代信息技术在农业领域的广泛应用，以智慧农业为表现形式的新的农业变革已经到来，智慧农业是农业发展从机械化到数字化再到智能化的高级阶段，而设施农业作为智慧农业重要的表现形式，日光温室的发展也越发重要。智能温室的功能在于以计算机管理技术对室内作物的生长环境进行人为的控制，创造作物生长的最佳环境，以降低温室运营成本，增加作物产量和提高劳动效率。</div> <div> &nbsp; &nbsp; 本文通过对云南地区现代农业示范项目进行调研和分析，结合现有的研究，对温室智能化管理的实际需求进行分析，设计开发一款温室智能化管理系统，并将该系统命名为智能温室内部温度场测控系统。论文的主要研究内容如下。</div> <div> &nbsp; &nbsp; 第一部分主要介绍了CFD技术在温室中的应用，故障传感器网络节点检测以及温室管理系统的国内外研究现状，通过对前人研究的文献梳理结合室内管理系统的关键技术分析，选择ZigBee技术进行无线信号的采集与传输，确定室内温度场测控系统的基本组成框架。</div> <div> &nbsp; &nbsp; 第二部分利用ANSYS建立温室仿真模型，并对模型的有效性进行验证，将验证过的温室有效模型对室内场域变化进行分析，结合空间相似原理与LEBDF算法对故障传感器网络节点进行识别，为保证室内温度场测控系统的稳定运行提供准确的数据支持。</div> <div> &nbsp; &nbsp; 第三部分主要介绍了室内温度场测控系统的实现过程。室内温度场测控系统主要包括传感器信号的采集传输和对室内设备的控制，利用ZigBee无线通讯技术实现信号的采集与传输，利用软件技术对系统平台进行开发，基于MVC（Model、View、Control）模式实现对室内温度场测控系统的开发，并通过相关的网络测试，确保系统运行的稳定性和有效性，结果表明，基于室内温度场的测控系统能够满足温室智能化管理需要。</div> <div> &nbsp; &nbsp; 本文利用仿真软件对温室内部场域进行分析，提出一种基于场域变化的传感器故障节点检测方法，为温室的智能化管理提供准确有效的数据支持，并结合软件开发等相关技术设计并实现了一套针对玻璃连栋温室的智能化管理系统，并将之命名为智能温室内部温度场测控系统，从而实现了现代温室标准化、集约化、智能化管理，作物的高效种植和设施装备的精准作业。</div> <div> &nbsp;</div>

<div> With the widespread application of modern information technology in the agricultural field, a new agricultural transformation in the form of smart agriculture has arrived. Smart agriculture is the advanced stage of agricultural development from mechanization to digitalization and then to intelligence, as facility agriculture is an important manifestation of smart agriculture. The development of solar greenhouses is becoming more and more important. The function of the intelligent greenhouse is to artificially control the environmental conditions of crop growth with advanced technology, so that crop growth is not affected by the natural climate, and achieve high efficiency, low input and high efficiency production all year round.</div> <div> &nbsp; &nbsp; &nbsp; &nbsp; Based on the investigation and analysis of modern agricultural demonstration projects in Yunnan, combined with existing research, this paper analyzes the actual needs of greenhouse intelligent management, designs and develops a greenhouse intelligent management system, and named the system indoor temperature of greenhouse Field measurement and control system. The main research content of the thesis is as follows.</div> <div> &nbsp; &nbsp; &nbsp; &nbsp;The first part mainly introduces the application of CFD technology in the greenhouse, sensor fault detection and the current research status of greenhouse measurement and control systems at home and abroad. Through combing the literature of previous studies combined with the shutdown technology analysis of the indoor measurement and control system, the ZigBee technology is selected for wireless signal detection. Collect and transmit, determine the basic composition framework of the indoor temperature field measurement and control system.</div> <div> &nbsp; &nbsp; &nbsp; &nbsp; The second part uses ANSYS to establish a greenhouse simulation model and verify the validity of the model. The validated greenhouse model is analyzed for indoor field changes, combined with the principle of spatial similarity and the LEBDF algorithm to identify faulty sensor network nodes. Ensure the stable operation of the indoor temperature field measurement and control system and provide accurate data support.</div> <div> &nbsp; &nbsp; &nbsp; &nbsp; The third part mainly introduces the realization process of the indoor temperature field measurement and control system. The indoor temperature field measurement and control system mainly includes the acquisition and transmission of sensor signals and the control of indoor equipment. It uses ZigBee wireless communication technology to achieve signal acquisition and transmission, and uses software technology to develop the system platform, based on MVC (Model, View, Control) mode Realize the development of the indoor temperature field measurement and control system, and through related network tests to ensure the stability and effectiveness of the system operation, the results show that the measurement and control system based on the indoor temperature field can meet the needs of intelligent greenhouse management.</div> <div> &nbsp; &nbsp; &nbsp; &nbsp; This paper uses simulation software to analyze the internal field of the greenhouse, and proposes a sensor failure node detection method based on field changes, which provides accurate and effective data support for the intelligent management of the greenhouse, and combines software development and other related technologies to design and implement An intelligent management system for glass multi-span greenhouses, and named it the indoor temperature field measurement and control system, realizes the standardization, intensive and intelligent management of modern greenhouses, efficient planting of crops and precise operation of facilities and equipment.</div> <div> &nbsp;</div>

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