云端植物栽培系统“花伴”的设计与实现
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摘要
当代人们重视绿色覆盖,却又因对植物种植不了解或工作繁忙,从而导致种植的植物成活率不高。对此,利用物联网与移动互联网技术,对传统种植体系进行改造,设计一套基于云端并且可通过多端实现远程管理、自动浇水、环境监测等功能的智能植物栽培系统。可以通过移动端App以及浏览器直接对种植系统进行远程的植物温湿度状态监控以及浇水营养液等养护操作,同时可以对系统自动化操作进行设置,便于无人干预时系统对植物自主判断进行浇水等养护操作。该系统使用简单,适用范围广,无论是家中的盆栽还是中小型花园,可以大大降低人力和时间成本,也能对植物的实时状态进行准确获取和监控。与传统种植系统相比,该系统大大减轻了人们的负担并提高了植物的存活率。
In the light of contemporary people paying more attention to green coverage,however most of them barely understand plant cultivation or busy with work,resulting in low survival rate of planted plants. With the use of internet of things and mobile internet technology,making the transformation of the traditional planting system,we design an intelligent plant cultivation system based on the cloud and capable of remote management,automatic watering,and environmental monitoring through multiple terminals. It can remotely monitor the plant temperature and humidity status and watering nutrient solution and other maintenance operations through the mobile App and browser,at the same time the system can be set to automate operations,to facilitate the system to plant self-determination of water conservation and other maintenance operations. The system is simple to use and widely applicable. Whether it is a potted plant in a home or a small or medium-sized garden,it can greatly reduce manpower and time costs,and can accurately acquire and monitor the plant's real-time status. Compared with the traditional planting system,the system greatly reduces people's burden and improves the plant survival rate.
In the light of contemporary people paying more attention to green coverage,however most of them barely understand plant cultivation or busy with work,resulting in low survival rate of planted plants. With the use of internet of things and mobile internet technology,making the transformation of the traditional planting system,we design an intelligent plant cultivation system based on the cloud and capable of remote management,automatic watering,and environmental monitoring through multiple terminals. It can remotely monitor the plant temperature and humidity status and watering nutrient solution and other maintenance operations through the mobile App and browser,at the same time the system can be set to automate operations,to facilitate the system to plant self-determination of water conservation and other maintenance operations. The system is simple to use and widely applicable. Whether it is a potted plant in a home or a small or medium-sized garden,it can greatly reduce manpower and time costs,and can accurately acquire and monitor the plant's real-time status. Compared with the traditional planting system,the system greatly reduces people's burden and improves the plant survival rate.
引文
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[2] 李刚.疯狂Android讲义[M].第3版.北京:电子工业出版社,2015.
[3] 苏世旭,肖彦均,郭永安.基于物联网的多指标实时环境监控系统[J].电信科学,2016,32(3):135-138.
[4] 冯筱,秦文华,于欣,等.基于控制土壤湿度的智能花卉浇水系统设计[J].现代电子技术,2015,38(7):110-113.
[5] 付承彪,田安红.一种智能农业物联网系统的设计[J].实验室研究与探索,2017,36(12):129-132.
[6] 施苗苗.基于物联网的设施农业远程智能化信息监测系统的开发[D].太原:太原理工大学,2016.
[7] 廖建尚.基于物联网的温室大棚环境监控系统设计方法[J].农业工程学报,2016,32(11):233-243.
[8] 刘洋,张钢,韩璐.基于物联网与云计算服务的农业温室智能化平台研究与应用[J].计算机应用研究,2013,30(11):3331-3335.
[9] KUMAR V S,GOGUL I,RAJ M D,et al.Smart autonomous gardening rover with plant recognition using neural networks[J].Procedia Computer Science,2016,93:975-981.
[10] LIANG Fan,XIE Jiajia,CUI Shigang,et al.Design of intelligent measure and control software of plant growth cabinet based on android system[J].Applied Mechanics & Materials,2015,734:224-228.
[11] RASMUSSEN J,GRIEPENTROG H,NIELSEN J,et al.Automated intelligent rotor tine cultivation and punch planting to improve the selectivity of mechanical intra-row weed control[J].Weed Research,2012,52(4):327-337.
[12] FENG Chen,WU Huarui,ZHU Huaji,et al.The design and realization of apple orchard intelligent monitoring system based on internet of things technology[J].Advanced Materials Research,2012,546-547:898-902.
[13] LI Xiaodi,HU Weiping,YANG Xiaoping.Thinking on the water system design method of intelligent civil ecological agriculture residential buildings[J].Applied Mechanics & Materials,2013,357-360:487-491.
[14] WANG Y,WU P,ZHAO X,et al.Water-saving crop planning using multiple objective chaos particle swarm optimization for sustainable agricultural and soil resources development[J].Acta Hydrochimica Et Hydrobiologica,2012,40(12):1376-1384.