智能城市2026，Vol.12Issue(2)：9-12,4.DOI:10.19301/j.cnki.zncs.2026.02.002
物联网通信技术在日光温室环境温湿度预测中的应用
Application of Internet of Things communication technology in the prediction of environmental temperature and humidity in solar greenhouses
摘要
Abstract
To improve the accuracy and real-time performance of temperature and humidity predictions in solar greenhouses,the paper systematically constructs an integrated'sensing-transmission-processing-prediction'application process based on IoT communication technology.By deploying multi-source sensing nodes and a narrow band Internet of Things(NB-IoT)communication network,high-frequency and low-latency data collection and transmission are achieved,while a communication data-driven preprocessing and feature modeling mechanism is introduced.Combined with the long short-term memory(LSTM)prediction model integrating communication parameters,dynamic temperature and humidity predictions are realized.Case results show that this solution reduces the average prediction error to 0.54℃,shortens prediction latency to 1.17 s,and achieves an abnormal data recovery rate of 94.6%,significantly improving data integrity,prediction response speed,and system practicality.关键词
物联网通信/多源传感节点/窄带物联网/温湿度预测/日光温室Key words
Internet of Things communication/multi-source sensing nodes/narrow band Internet of Things/temperature and humidity prediction/solar greenhouse分类
信息技术与安全科学引用本文复制引用
王炎,赵大伟,徐红,郑茜渝..物联网通信技术在日光温室环境温湿度预测中的应用[J].智能城市,2026,12(2):9-12,4.基金项目
贵州轻工职业大学2022年度博士科研启动经费项目(22QYBS10) （22QYBS10）
