基于低成本物联网与大数据的冬暖式温室智能灌溉系统设计与应用OA

To address the prevalent issues of water resource wastage and extensive management in the irrigation of solar greenhouses in Shandong,a low-cost intelligent irrigation system for small-scale farmers was designed.The system used an STM32 microcontroller as its core controller and established a four-layer cooperative architecture encompassing perception,transmission,edge,and cloud lay-ers.By integrating multi-source environmental sensing,edge computing,and cloud platform big data analytics,it achieved intelligent irrigation decision-making and precise integrated regulation of water and fertilizer based on crop growth models and real-time environ-mental status.Field trial results showed that the monitoring accuracies of the intelligent irrigation system for air temperature,relative humidity,soil temperature,and soil moisture were±0.5 ℃,±3%,±0.5 ℃,and±3%,respectively.Compared with traditional manual irrigation,the system reduced water usage by 32.4%,fertilizer application by 31.6%,labor cost by 81.5%,and electricity consump-tion by 6.5%.In terms of increasing yield and improving quality,tomato yield increased by 15.4%,while fruit sugar content and vita-min C content increased by 15.3%and 13.6%,respectively,and the rate of malformed fruit decreased by 50.0%.The intelligent irriga-tion system operated stably,was easy to deploy,and demonstrated good economic benefits and promotion value.