基于UWB定位的智能温室三维温湿度检测系统研究
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云南省基础研究计划面上项目(202101AT070125)、云南省科技厅重点项目(202201AS070034)、昆明理工大学分析测试基金重点项目(2021T20110170)、云南省高校特色作物高效用水与绿色生产重点实验室项目(KKPS201923009)和云南省科技人才与平台计划项目(202305AM070006)


Design of Intelligent Greenhouse Three-dimensional Temperature and Humidity Detection System Based on UWB Positioning
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    摘要:

    为解决现有无线检测系统无法精准有效反映温室内立体空间的环境变化情况,以及传感器节点定位误差大、硬件成本高等问题,设计了一种基于UWB(Ultra wide band)定位的智能温室三维温湿度检测系统。系统通过一款自主设计的集成UWB定位模块的STM32F系统板对各传感器节点进行定位,并搭载AHT25型高精度传感器对环境数据进行采集。UWB主基站使用4G网络通信模块将各传感器数据及位置信息发送到上位机,并在Web端根据HTML5技术实现温室三维温湿度场可视化,完成温室三维温湿度远程检测。系统定位测试试验证明,各传感器节点精度主要集中在10~30cm范围内,部分节点测量位置误差大于50cm,各节点最大丢包率为2.5%,平均丢包率为1.9%,满足温室测量基本需求,对检测温室热工缺陷区域以及研究植物生长适宜环境有重要意义。

    Abstract:

    In order to solve the problems of the existing wireless detection system cannot accurately and effectively reflect the environmental changes of the three-dimensional space in the greenhouse, as well as the large positioning error of the sensor node and the high hardware cost, an intelligent greenhouse three-dimensional temperature and humidity detection system was designed based on ultra wide band (UWB) positioning. The system located each sensor node through a self-designed STM32F system board integrating UWB positioning module, and it was equipped with AHT25 high-precision sensor to collect environmental data. The UWB main base station used the 4G network communication module to send the sensor data and location information to the host computer, and visualized the three-dimensional temperature and humidity field of the greenhouse according to HTML5 technology on the Web side to complete the remote detection of the three-dimensional temperature and humidity of the greenhouse. The system positioning test proved that the accuracy of each sensor node was mainly concentrated in the range of 10~30cm, the measurement position error of some nodes is greater than 50cm, the maximum packet loss rate of each node was 2.5%, and the average packet loss rate was 1.9%, which met the basic needs of greenhouse measurement and is of great significance for detecting greenhouse thermal defect areas and studying the suitable environment for plant growth.

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刘艳伟,李思雯,杨启良,何家俊.基于UWB定位的智能温室三维温湿度检测系统研究[J].农业机械学报,2023,54(9):414-422. LIU Yanwei, LI Siwen, YANG Qiliang, HE Jiajun. Design of Intelligent Greenhouse Three-dimensional Temperature and Humidity Detection System Based on UWB Positioning[J]. Transactions of the Chinese Society for Agricultural Machinery,2023,54(9):414-422.

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  • 收稿日期:2022-12-12
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  • 在线发布日期: 2023-09-10
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