摘要
针对现有农场监测系统监测效率低、数据精度不足及系统抗干扰能力弱等问题,文章提出了一种智慧农场可视化监测系统。该系统结合了物联网技术与多传感器,并在此基础上引入差分放大、锁相放大、GPS授时同步、动态校准及电磁抗干扰等测量与细分技术。结果显示,所提系统的响应时间为15 ms,其数据存储容量与最高测量误差分别为98.62 GB和0.68%。基于云计算与固定增益放大技术的系统,其测量误差最高为1.97%,而基于物联网与单片机系统的测量误差峰值为3.37%。所提系统能够实现智慧农场的精细化管理,为智慧农场的可视化监测提供了有效技术支持。
Given the issues of low monitoring efficiency,insufficient data accuracy,and weak anti-interference capability of the existing farm monitoring system,this paper proposes a visual monitoring system for smart farms.This system integrates Internet of Things(IoT)technology and multiple sensors,and introduces electronic measurement subdivision techniques including differential amplification,phase-locked amplification,Global Positioning System(GPS)time synchronization,dynamic calibration,and electromagnetic interference suppression.Results show that the proposed system's response speed is 15 ms,with a data storage capacity of 98.62 GB and a maximum measurement error of 0.68%.In comparison,a system combining cloud computing with fixed-gain amplification technology exhibited a measurement error of up to 1.97%,while a system integrating IoT with a single-chip microcontroller showed a peak error of 3.37%.These results demonstrate that the proposed system enables refined management of smart farms and provides effective technical support for their visual monitoring.
作者
崔向虎
CUI Xianghu(Hangzhou Electric Power Equipment Manufacturing Co.,Ltd.,Hangzhou 310004,China)
出处
《国外电子测量技术》
2025年第11期189-194,共6页
Foreign Electronic Measurement Technology
基金
新一代低碳农业场景研究与实现项目(YF230101)。
关键词
物联网
多传感器
智慧农场
可视化监测
电子测量技术
Internet of Things(IoT)
multi sensor
smart farm
visual monitoring
electronic measurement technology
