摘要
针对目前我国农业温室生产需求上升,设计了一种温室巡检机器人。机器人根据事先铺设好的电磁引导线进行自主巡检,采用STM32F429IGT6芯片为主控单元,采集温度、湿度、CO 2浓度等信息及巡检图像通过无线传输模块传输给云服务器供种植者通过微信查看。云服务器根据数据计算并建立灰色预测模型,可预测温室环境变化。结果表明:采用云计算的温室巡检机器人能较好地监控和预测温室环境变化,有效解决了温室生产中人工劳动成本高的问题,具有一定的应用价值。
In view of the current increasing demand for agricultural greenhouse production in China,a kind of greenhouse inspection robot has been designed,which can conduct autonomous inspection according to the electromagnetic conductors laid in advance,with STM32F429IGT6 chip used as the main control unit to collect temperature,humidity,CO 2 concentration and other information and patrol inspection images to be transmitted to the cloud server through the wireless transmission module for growers to view through WeChat.The e cloud server calculates and establishes a gray prediction model based on the data to predict changes in the greenhouse environment.The results show that the greenhouse inspection robot using cloud computing can better monitor and predict changes in the greenhouse environment,effectively solve the problem of high labor costs in greenhouse production,and has certain application value.
作者
韩涛国
谷志新
涂文宇
车玉
范涛
HAN Tao-guo;GU Zhi-xin;TU Wen-yu;CHE Yu;FAN Tao(College of Information and Computer Engineering,Northeast Forestry University,Harbin Heilongjiang 150040,China;College of Mechanical and Electrical Engineering,Northeast Forestry University,Harbin Heilongjiang 150040,China)
出处
《林业机械与木工设备》
2021年第4期40-43,共4页
Forestry Machinery & Woodworking Equipment
基金
大学生创新创业训练计划项目(DC2020148)。
关键词
巡检机器人
PID控制算法
云计算
灰色预测模型
patrol inspection robot
PID control algorithm
cloud computing
grey prediction model
