摘要
为了解决传统补光系统自动化程度低、补光不精准、高能耗等问题,通过将AI技术、物联网技术、补光技术进行深度融合,设计了一套AIOT智能补光系统。该系统包括终端系统、智能网关、云平台和客户端四部分。终端系统利用传感器对环境信息进行采集,通过智能网关将环境数据和图像信息实时推送到云平台;通过云平台建立智能补光运算模型,并利用实时采集到的大量图像和数据不断对模型进行优化,同时生成当前植物的最优补光方案;光控制器能根据云平台的数据命令及时调整补光策略。智能补光系统能够改变植物体周围光照强度以及光谱结构,让农作物在减少资源浪费前提下达到高产、优产的目的。
This paper designs a set of AIOT intelligent fill light system by deeply integrating AI technology,Internet of Things technology and fill light technology.The system includes four parts:terminal system,intelligent gateway,cloud platform and client.The terminal system uses sensors to collect environmental information,and pushes environmental data and image information to the cloud platform in real time through the intelligent gateway;establishes a smart fill light operation model through the cloud platform,and continuously optimizes the model by using a large number of images and data collected in real time.The intelligent light-filling system can change the light intensity and spectral structure around the plant body,so that the crop can achieve high yield and high yield under the premise of reducing resource waste.
出处
《工业控制计算机》
2019年第10期42-44,共3页
Industrial Control Computer
关键词
节能补光
物联网
云平台
光谱结构
energy-saving light supplement
Internet of Things
cloud platform
spectral structure