光伏幕布日光温室大棚测控系统设计
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摘要
针对现有日光温室保温效果差、自动化程度低、操作复杂等不足,设计开发了基于云平台的光伏幕布日光温室大棚测控系统。系统主要完成对日光温室大棚农业生态因子和视频进行远程实时在线监测、存储、分析、控制等功能,系统包括数据采集器、控制器、视频采集器、太阳能集热器、云计算机数据服务中心、电脑客户端等组成,实现在冬季无取暖设备的条件下,利用太阳能集热装置、外层保温被及二层膜结构,控制其在低温时保持棚内温度,保证作物正常生长。经过试验证明,在不使用额外供暖的情况下,植物生长正常,产量与取暖棚室相同,并且系统不受地域、环境影响,可随意安装,用户可动态地、实时地获取温室棚内信息、作物生长情况。系统具有蓄热效果好、自动化程度高、保温性能好、使用寿命长、系统在正常条件下,可周年生产各种果蔬,无停植期,具有良好的应用前景。
Aiming at solving the shortcomings of the existing greenhouse,such as inadequate thermal insulation effect,low automation degree and complicated operation,photovoltaic curtain greenhouse monitoring system based on cloud platform was designed and developed.The system mainly completed the remote real-time monitoring,storage,analysis and controlling of greenhouse agriculture ecological factors.The video system included data acquisition,controller,video collector,solar collector,cloud computing data center services,client computer and other components,in the winter without heating equipment under the condition of using solar energy insulation thermal device and two outer layer structure to control the inside temperature under the low temperature for the normal growth of crops.The result showed that without using additional heating,the plants grew normally and the yield was the same as in greenhouse.The system had the advantage of free installation and would not be affected by the region and the environment.The users could obtain the information of crop growth in the greenhouse dynamically.The system had excellent heat storage capacity,high automation degree,sound insulation performance and long service life.The system could produce various fruits and vegetables under regular conditions without any stopping period,which had a grander prospect.
Aiming at solving the shortcomings of the existing greenhouse,such as inadequate thermal insulation effect,low automation degree and complicated operation,photovoltaic curtain greenhouse monitoring system based on cloud platform was designed and developed.The system mainly completed the remote real-time monitoring,storage,analysis and controlling of greenhouse agriculture ecological factors.The video system included data acquisition,controller,video collector,solar collector,cloud computing data center services,client computer and other components,in the winter without heating equipment under the condition of using solar energy insulation thermal device and two outer layer structure to control the inside temperature under the low temperature for the normal growth of crops.The result showed that without using additional heating,the plants grew normally and the yield was the same as in greenhouse.The system had the advantage of free installation and would not be affected by the region and the environment.The users could obtain the information of crop growth in the greenhouse dynamically.The system had excellent heat storage capacity,high automation degree,sound insulation performance and long service life.The system could produce various fruits and vegetables under regular conditions without any stopping period,which had a grander prospect.
引文
[1]白义奎,周东升,曹刚,等.北方寒区节能日光温室建筑设计理论与方法研究[J].新疆农业科学,2014,51(6):990-998.
[2]张勇,邹志荣,李建明.倾转屋面日光温室的采光及蓄热性能试验[J].农业工程学报,2014,30(1):129-137.
[3]孙程旭,李建设,高艳明.我国设施园艺农用覆盖材料的应用与展望[J].长江蔬菜,2007(4):32-36.
[4]孙周平,黄文永,李天来,等.彩钢板保温装配式节能日光温室的温光性能[J].农业工程学报,2013,29(19):159-167.
[5]刘璎瑛,丁为民,张剑锋.日光温室保温帘揭盖时间的确定[J].农业工程学报,2004,20(4):230-233.
[6]张义,杨其长,方慧.日光温室水幕帘蓄放热系统增温效应试验研究[J].农业工程学报,2012,28(4):188-193.
[7]陈端生.中国节能型日光温室建筑与环境研究进展[J].农业工程学报,1994(1):123-129.
[8]王婷,高俊明,周莹,等.全封闭日光温室降温技术的研究[J].农机化研究,2018,40(3):264-268.
[9]张亚新,曹万苍.日光温室大棚自动卷帘控制系统[J].中国农机化,2012(5):97-100.
[10]董书权.大棚卷帘机在使用中的安全问题及其原因分析[J].当代农机,2015(5):17.
[11]张智,邹志荣.基于单片机的日光温室控制系统的设计[J].微计算机信息,2006(35):77-78.
[12]王斌,吴锴,李志伟.基于GPRS技术日光温室综合环境集散控制系统的研究与设计[J].山西农业大学学报:自然科学版,2012,32(1):92-96.
[13]席桂清,谭峰,黄操军,等.基于云平台的智能化寒地水稻浸种催芽系统的研究[J].科技创新与应用,2017(3):41-42.
[14]陈春玲,白爽,李天来,等.基于模糊控制算法的北方日光温室控制系统研究[J].沈阳农业大学学报,2013,44(3):262-267.
[15]汪金营,刘雁征,杨学坤.基于手机短信的日光温室控制系统设计[J].中国农机化,2012(4):145-147.
[16]张勇,高文波,邹志荣.日光温室主动蓄热后墙传热CFD模拟及性能试验[J].农业工程学报,2015,31(5):203-211.
[17]Zhiqun Chen,Tian Tian,Lihong Gao,et al.Nutrients,heavy metals and phthalate acid esters in solar greenhouse soils in Round-Bohai Bay-Region,China:impacts of cultivation year and biogeography[J].Environmental Science and Pollution Research,2016,23(13):13076-13087.
[18]Behrooz M.Ziapour,Amir Hashtroudi.Performance study of an enhanced solar greenhouse combined with the phase change material using genetic algorithm optimization method[J].Applied Thermal Engineering,2017,110:12-15.
[19]Weidong Zou,Fenxi Yao,Baihai Zhang,et al.Verification and predicting temperature and humidity in a solar greenhouse based on convex bidirectional extreme learning machine algorithm[J].Neurocomputing,2017,249:22-30.
[20]Jian Zhang,Jian Wang,Shirong Guo,et al.Study on heat transfer characteristics of straw block wall in solar greenhouse[J].Energy&Buildings,2017,139:91-100.
[2]张勇,邹志荣,李建明.倾转屋面日光温室的采光及蓄热性能试验[J].农业工程学报,2014,30(1):129-137.
[3]孙程旭,李建设,高艳明.我国设施园艺农用覆盖材料的应用与展望[J].长江蔬菜,2007(4):32-36.
[4]孙周平,黄文永,李天来,等.彩钢板保温装配式节能日光温室的温光性能[J].农业工程学报,2013,29(19):159-167.
[5]刘璎瑛,丁为民,张剑锋.日光温室保温帘揭盖时间的确定[J].农业工程学报,2004,20(4):230-233.
[6]张义,杨其长,方慧.日光温室水幕帘蓄放热系统增温效应试验研究[J].农业工程学报,2012,28(4):188-193.
[7]陈端生.中国节能型日光温室建筑与环境研究进展[J].农业工程学报,1994(1):123-129.
[8]王婷,高俊明,周莹,等.全封闭日光温室降温技术的研究[J].农机化研究,2018,40(3):264-268.
[9]张亚新,曹万苍.日光温室大棚自动卷帘控制系统[J].中国农机化,2012(5):97-100.
[10]董书权.大棚卷帘机在使用中的安全问题及其原因分析[J].当代农机,2015(5):17.
[11]张智,邹志荣.基于单片机的日光温室控制系统的设计[J].微计算机信息,2006(35):77-78.
[12]王斌,吴锴,李志伟.基于GPRS技术日光温室综合环境集散控制系统的研究与设计[J].山西农业大学学报:自然科学版,2012,32(1):92-96.
[13]席桂清,谭峰,黄操军,等.基于云平台的智能化寒地水稻浸种催芽系统的研究[J].科技创新与应用,2017(3):41-42.
[14]陈春玲,白爽,李天来,等.基于模糊控制算法的北方日光温室控制系统研究[J].沈阳农业大学学报,2013,44(3):262-267.
[15]汪金营,刘雁征,杨学坤.基于手机短信的日光温室控制系统设计[J].中国农机化,2012(4):145-147.
[16]张勇,高文波,邹志荣.日光温室主动蓄热后墙传热CFD模拟及性能试验[J].农业工程学报,2015,31(5):203-211.
[17]Zhiqun Chen,Tian Tian,Lihong Gao,et al.Nutrients,heavy metals and phthalate acid esters in solar greenhouse soils in Round-Bohai Bay-Region,China:impacts of cultivation year and biogeography[J].Environmental Science and Pollution Research,2016,23(13):13076-13087.
[18]Behrooz M.Ziapour,Amir Hashtroudi.Performance study of an enhanced solar greenhouse combined with the phase change material using genetic algorithm optimization method[J].Applied Thermal Engineering,2017,110:12-15.
[19]Weidong Zou,Fenxi Yao,Baihai Zhang,et al.Verification and predicting temperature and humidity in a solar greenhouse based on convex bidirectional extreme learning machine algorithm[J].Neurocomputing,2017,249:22-30.
[20]Jian Zhang,Jian Wang,Shirong Guo,et al.Study on heat transfer characteristics of straw block wall in solar greenhouse[J].Energy&Buildings,2017,139:91-100.