中国农学通报
中國農學通報
중국농학통보
CHINESE AGRICULTURAL SCIENCE BULLETIN
2013年
23期
129-134
,共6页
夏于%杜克明%孙忠富%胡新%郑飞翔
夏于%杜剋明%孫忠富%鬍新%鄭飛翔
하우%두극명%손충부%호신%정비상
物联网%远程监控%小麦苗情%气象灾害%智能管理
物聯網%遠程鑑控%小麥苗情%氣象災害%智能管理
물련망%원정감공%소맥묘정%기상재해%지능관리
internet of things%remote monitoring%wheat growth condition%meteorological disasters%intelligent management
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。
由于小麥生長週期長,很容易遭遇多種氣象災害如榦熱風、低溫霜凍、旱澇災害等的影響。為提高災害鑑測預警和診斷管理能力,基于物聯網關鍵技術,設計併實現瞭針對小麥氣象災害的遠程鑑控和動態診斷繫統。繫統採用包括圖像視頻在內的多種傳感器,融閤多種網絡傳輸模式,實現瞭關鍵氣象環境因子的實時採集和遠程傳輸。在廣汎彙集多年農學和氣象實驗研究成果的基礎上,初步建立瞭診斷指標體繫和管理技術規範,為小麥氣象災害診斷和管理提供依據。通過集成Web服務和Socket調用技術,實現瞭數據在多種網絡平檯下的異地資源共享和分佈式管理。經試用檢驗錶明,基于物聯網的小麥氣象災害鑑控診斷繫統,為小麥生產科學管理、防災減災提供瞭有力的技術支持,具有良好的可靠性和廣闊的應用前景。
유우소맥생장주기장,흔용역조우다충기상재해여간열풍、저온상동、한로재해등적영향。위제고재해감측예경화진단관리능력,기우물련망관건기술,설계병실현료침대소맥기상재해적원정감공화동태진단계통。계통채용포괄도상시빈재내적다충전감기,융합다충망락전수모식,실현료관건기상배경인자적실시채집화원정전수。재엄범회집다년농학화기상실험연구성과적기출상,초보건립료진단지표체계화관리기술규범,위소맥기상재해진단화관리제공의거。통과집성Web복무화Socket조용기술,실현료수거재다충망락평태하적이지자원공향화분포식관리。경시용검험표명,기우물련망적소맥기상재해감공진단계통,위소맥생산과학관리、방재감재제공료유력적기술지지,구유량호적가고성화엄활적응용전경。
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 management for wheat production and disaster prevention, and proved good reliability and wide application prospect.