摘要
目前,城市智慧化进程持续推进,园林是城市基建的一部分,也将更多地融合数字信息系统,实现智慧化。其中,灌溉直接关系到绿化植被的健康状态。现代生活中,养护绿植花卉不仅是个人所面临的问题,也是整个社会所面临的问题。如今,大多绿化工作采用人工养护,其一,人工养护需要耗费大量人力物力以及时间;其二,养护人员需要具备相当的专业知识。该设计以GD32F103CBT6和云平台为核心,通过各种传感器将植物环境参数化,实时监测植被生长环境的各项指标,然后通过云平台对数据进行分析,采用LSTM算法根据已有的数据进行分析,得出未来几小时植物的需水量,去满足植物成长的需要,从而达到节水的目的。
At present,the process of urban wisdom continues to advance,and gardens are part of the urban infrastructure,and will also integrate more digital information systems to achieve wisdom.Irrigation is directly related to the health of green vegetation.The maintenance of green plants and flowers in modern life is not only a problem faced by individuals,but also a problem faced by the whole society.Nowadays,most of greening work use manual maintenance.Firstly,manual maintenance requires a lot of manpower and material resources as well as time.Secondly,maintenance staff need to have considerable knowledge.With GD32F103CBT6 and cloud platform as the core,the design aims to parameterize the plant environment through various sensors and monitor various indicators of the vegetation growth environment in real time.Then,the cloud platform analyzes the data and uses LSTM algorithm to analyze the existing data and obtain the water demand of plants in the next few hours to meet the needs of plant growth.So as to achieve the purpose of water saving.
作者
周磊
李玉丽
ZHOU Lei;LI Yuli(Jilin Jianzhu University,Changchun 130118,China)
出处
《传感器世界》
2023年第7期27-32,共6页
Sensor World
关键词
智慧化
灌溉
云平台
节水
intelligent
irrigation
cloud platform
water saving