CAJ | 학술논문

通过研究日光温室温度多节点大系统的识别采集和处理过程，提出了日光温室复杂大系统智能物联网控制系统的关键技术和存在的问题。针对占用带宽、网络时延特性、丢包率以及功耗等4个方面对物联网承受能力进行了参数数学建模，并运用MCU信号放大系统和信号传感器联合控制日光温室的温度效应，最终发现智能大系统的占用带宽达到35kB，网络时延最高达到20s，丢包率最大为2．5％，证明了智能大系统的物联网特性要比局部小系统控制复杂程度高。
통과연구일광온실온도다절점대계통적식별채집화처리과정，제출료일광온실복잡대계통지능물련망공제계통적관건기술화존재적문제。침대점용대관、망락시연특성、주포솔이급공모등4개방면대물련망승수능력진행료삼수수학건모，병운용MCU신호방대계통화신호전감기연합공제일광온실적온도효응，최종발현지능대계통적점용대관체도35kB，망락시연최고체도20s，주포솔최대위2．5％，증명료지능대계통적물련망특성요비국부소계통공제복잡정도고。
By identifying the acquisition and processing temperature of multi-node system in sunlight greenhouse , it dis-cussed the technology and the existing problems of complex large system of intelligent network control system in the green -house .From occupied bandwidth , network delay , the sustainability of parameter mathematical modeling on the Internet of things in four aspects of packet loss rate and the power , and the temperature effect of MCU signal amplification system and signal sensor joint control of greenhouse , finally found the occupied bandwidth intelligent system can reach 35kb, the highest 20 s network delay , packet loss maximum rate of 2 .5%, proved that the network characteristics of intelligent sys-tems to be higher than the local control system complexity .