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Study on the Agricultural Internet of Things Key Technology of the Intelligent Control of Sunlight Greenhouse Complex System

机译:阳光温室复杂系统智能控制智能控制的农业互联网研究

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With the development of computer and biological sciences and information technology, the Internet of things (IOT) technology has been successfully applied to agricultural fields. Twenty-first Centuries is the times that science and technology are rapidly developed. The realization of agricultural modernization and integrated management is the urgently problem needed to be solved for modern agricultural technology. In this background, this paper puts forwards the key technology and existing problems of sunlight greenhouse complex system and intelligent IOT control system through the study of identified collecting and processing process of sunlight greenhouse temperature multi-nodes big system. The paper builds parameters mathematical model for the IOT bearing capacity from four aspects, such as, the occupied bandwidth, delay characteristics of the network, packet loss rate and power consumption, and uses MCU signal amplification system and a signal sensor to jointly control the temperature effect of sunlight greenhouse. Eventually, it finds that the occupied bandwidth of intelligent system has reached 35 kb, the highest network delay has reached 20 s, and the maximum of packet loss rate has reached 2.5%, which proves that the IOT characteristics of intelligent systems have more controlling complexity than that of the local system.
机译:随着计算机和生物科学和信息技术的发展,事物互联网(IOT)技术已成功应用于农业领域。二十一世纪是科学和技术迅速发展的时代。农业现代化和综合管理的实现是现代农业技术所要求的紧急问题。在此背景下,本文通过阳光温室温度多节点大系统的确定收集和加工过程研究了阳光温室复杂系统和智能物联网控制系统的关键技术和现有问题。本文从四个方面构建了IOT承载力的参数数学模型,如占用带宽,网络的延迟特性,丢包率和功耗,并使用MCU信号放大系统和信号传感器共同控制温度阳光温室的影响。最终,它发现智能系统的占用带宽已达到35 kB,网络延迟最高达到20秒,并且数据包丢失率的最大值已达到2.5%,这证明了智能系统的IOT特性具有更多控制复杂性而不是本地系统。

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