基于物联网的小麦气象灾害监控诊断系统应用研究  

Applied Research of Monitoring and Diagnosis System for Wheat’s Meteorological Disasters Based on the Internet of Things

作　　者：夏于[1] 杜克明[1] 孙忠富[1] 胡新 郑飞翔[1] 

机构地区：[1]中国农业科学院农业环境与可持续发展研究所,北京100081 [2]河南商丘农科院,河南商丘476000

出　　处：《中国农学通报》2013年第23期129-134,共6页Chinese Agricultural Science Bulletin

基　　金：农业部公益性行业科研专项"小麦苗情数字远程监控与诊断管理关键技术"(200903010);"十二五"国家科技支撑计划"重大农业气象灾害防控与管理技术研究与示范"(2011BAD32B03);中央级公益性科研院所基本科研业务费"基于田间实时监测信息的农业气象灾害动态诊断和监测研究"(BSRF201302)

摘　　要：由于小麦生长周期长,很容易遭遇多种气象灾害如干热风、低温霜冻、旱涝灾害等的影响。为提高灾害监测预警和诊断管理能力,基于物联网关键技术,设计并实现了针对小麦气象灾害的远程监控和动态诊断系统。系统采用包括图像视频在内的多种传感器,融合多种网络传输模式,实现了关键气象环境因子的实时采集和远程传输。在广泛汇集多年农学和气象实验研究成果的基础上,初步建立了诊断指标体系和管理技术规范,为小麦气象灾害诊断和管理提供依据。通过集成Web服务和Socket调用技术,实现了数据在多种网络平台下的异地资源共享和分布式管理。经试用检验表明,基于物联网的小麦气象灾害监控诊断系统,为小麦生产科学管理、防灾减灾提供了有力的技术支持,具有良好的可靠性和广阔的应用前景。Due to its long period of wheat growth and development, it is quite susceptible to a variety of meteorological disasters such as dry and hot wind, stress and frost damage caused by low temperature, drought and waterlogging. etc. In order to increase real-time monitoring and warning capability of meteorological disasters, a network system was designed and realized to provide remote monitoring and diagnosis of wheat meteorological disasters based on Internet of Things （IOT）. Integrated with various sensors, the system could acquire the kernel factor data including image and video through different modes of network transmission technology. On the basis of agricultural and meteorological research and experiment results for many years, the systematic indexes were established as basic standard for management and diagnosis of wheat meteorological disasters. Through integration of web services and socket techniques, the system could provide more functions such as data sharing and distributed management of varied data resources on multi-platform. The results showed that the IOT-based system displayed apparent advantages in scientific decision support managementfor wheat production and disaster prevention, and proved good reliability and wide application prospect.

关 键 词：物联网 远程监控 小麦苗情 气象灾害 智能管理 

分 类 号：S126[农业科学—农业基础科学] TP31[自动化与计算机技术—计算机软件与理论]