臧贺藏, 王猛, 张杰, 李国强, 赵晴, 胡峰, 郑国清. 2017: 农田玉米土壤墒情远程监测云平台的设计与应用. 南方农业学报, 48(11): 2107-2112. DOI: 10.3969/j.issn.2095-1191.2017.11.29
引用本文: 臧贺藏, 王猛, 张杰, 李国强, 赵晴, 胡峰, 郑国清. 2017: 农田玉米土壤墒情远程监测云平台的设计与应用. 南方农业学报, 48(11): 2107-2112. DOI: 10.3969/j.issn.2095-1191.2017.11.29
ZANG He-cang, WANG Meng, ZHANG Jie, LI Guo-qiang, ZHAO Qing, HU Feng, ZHENG Guo-qing. 2017: Design and application of remote monitoring cloud platform for soil moisture in maize field. Journal of Southern Agriculture, 48(11): 2107-2112. DOI: 10.3969/j.issn.2095-1191.2017.11.29
Citation: ZANG He-cang, WANG Meng, ZHANG Jie, LI Guo-qiang, ZHAO Qing, HU Feng, ZHENG Guo-qing. 2017: Design and application of remote monitoring cloud platform for soil moisture in maize field. Journal of Southern Agriculture, 48(11): 2107-2112. DOI: 10.3969/j.issn.2095-1191.2017.11.29

农田玉米土壤墒情远程监测云平台的设计与应用

Design and application of remote monitoring cloud platform for soil moisture in maize field

  • 摘要: 目的研发农田玉米土壤墒情远程监测云平台,获取实时动态农田玉米土壤墒情信息,为玉米科学灌溉提供数据支持,以保证夏玉米高产稳产.方法采用GPRS网关接入互联网,433 Mhz无线电组成本地局域网的方式,在河南省永城市等市(县)的玉米田地安置土壤墒情监测点,对土壤墒情信息进行自动采集和分析.结果土壤墒情远程监测云平台能够实现玉米大田土壤墒情的实时动态监测、在线地图定位、历史数据查询和统计分析及短信预警等功能.自2015年以来,在河南省永城市、汝州市、西华县和原阳县等市(县)进行应用,测试结果表明,该云平台可准确地对农田玉米土壤墒情的变化规律进行长期实时定位监测;通过土壤墒情监测数据分析可知,其监测数据可以真实反映农田玉米土壤墒情实际状况.结论设计的土壤墒情远程监测云平台能够满足农田玉米土壤墒情科学监测需求,为玉米实现精准灌溉提供了在线数据采集与分析平台.

     

    Abstract: ObjectiveA remote monitoring cloud platform for soil moisture was designed in order to obtain real-time dynamic soil moisture information of maize field and irrigate summer maize in a scientific manner. It could provide reference for ensuring high and stable yield of summer maize.MethodRemote monitoring cloud platform for soil mois-ture adopted GPRS gateway to access the internet and formed local area network with 433 Mhz wireless. It was located in maize field of cities and towns in Henan Province,such as Yongcheng City so as to collect and analyze the information of soil moisture automatically.ResultThe cloud platform realized the real-time dynamic monitoring,online map position, historical data query,statistical analysis and text messages warning. Since 2015,the cloud platform has been widely used in Yongcheng City,Ruzhou City,Xihua County,Yuanyang County and other places in Henan. The test result indicated that the cloud platform achieved the aim of long-term real-time monitoring on variation of soil moisture in maize field. Through the analysis of soil moisture monitoring data,monitoring data could reflect the actual situation of maize field soil moisture.ConclusionIn conclusion ,the designed remote monitoring cloud platform for soil moisture can meet the requirements of soil moisture monitoring in maize field,and supply an online data collection and analysis platform for maize precise irrigation.

     

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