Design of Greenhouse Control System Based on Edge Computing

Wenlong Han, Ansong Feng, Jinchao Xiao, Shuangfei Zi
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Abstract

With the rapid development of greenhouse technology and Internet of things technology, more and more intelligent sensors are widely used in the field of intelligent agricultural control. The types of plant growth data obtained are more and more abundant, and the amount of data is more and more huge. The traditional data processing mode only relying on Cloud Computing Center will lead to the increasing demand for computing power, slow system response-speed, and high bandwidth network continuous connection and so on. If data processing can be solved locally, part of the previous cloud computing tasks will be migrated to the local, which will provide guarantee for low delay, high reliability, data conversion, message distribution and intelligent control. In this paper, based on the edge computing scheme, the computing task of cloud computing center is transferred to the edge controller, which effectively solves the problems of cloud computing network bandwidth, long delay, waste of resources and so on. In addition, aiming at the problem of high coupling of greenhouse environment, fuzzy control method is used to realize the rapid adjustment of greenhouse environment.
基于边缘计算的温室控制系统设计
随着温室技术和物联网技术的快速发展,越来越多的智能传感器被广泛应用于智能农业控制领域。获得的植物生长数据种类越来越丰富,数据量也越来越庞大。传统的仅依靠云计算中心的数据处理模式会导致对计算能力的需求不断增加、系统响应速度慢、高带宽网络连续连接等问题。如果数据处理可以在本地解决,将原有的部分云计算任务迁移到本地,为低延迟、高可靠性、数据转换、消息分发和智能控制提供保障。本文基于边缘计算方案,将云计算中心的计算任务转移到边缘控制器上,有效解决了云计算网络带宽大、时延长、资源浪费等问题。此外,针对温室环境的高耦合问题,采用模糊控制方法实现温室环境的快速调节。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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