基于泛在传感器的网络化住宅智能系统

Neha Jain, Yogesh Awasthi, RK Jain
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引用次数: 0

摘要

农业生产的增加对任何国家的发展都是非常重要的。然而,像印度这样的国家,主要人口依赖农业作为他们的主要职业和唯一的收入来源。本文提出了一种网络住宅智能系统的开发模型,该模型采用市场上最优的泛在传感器进行设计。该系统工作在基于物联网(IoT)的无线系统上,该系统通过放置在网络房屋内的一系列无处不在的传感器实时传输可感知的基本参数。设计的系统将用于监测网络房屋中的各种关键参数,如土壤湿度、湿度、温度、照明,这些参数将通过基于物联网的专用框架进一步传输到云服务器。数据分析在云服务器上进行。该分析是基于适合在网屋种植的每种作物的理想大数据。从网络传输的数据使用在云服务器上执行的机器学习(ML)算法进行分析。该智能系统在越过阈值时驱动致动装置,对网屋内的重要参数进行调节,使其保持在最佳水平。农场经理可以使用专用的移动应用程序访问系统的整体活动。这种技术将完全放弃对人力的需求,并将以最优资源的使用提供最高效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ubiquitous Sensor based Intelligent System for Net Houses
The increment in the production from the agricultural sector is very important for the development of any country. However, the country like India, where the major population is dependent on the agriculture as their primary occupation and the only source of earning. This research paper proposes a model for the development of an Intelligent system for the net houses, which is designed by using the best available ubiquitous sensor in the market. This system works on the Internet of things (IoT) based wireless system which transmits the fundamental parameters in real time perceivable through a series of ubiquitous sensors placed inside the net house. The designed system will function to monitor the various crucial parameters like soil moisture, humidity, temperature, lighting in the net house which is further transmitted to the cloud server using the IoT based dedicated framework. The data analysis is carried out in the cloud server. The analysis is based on the ideal big data available for each crop suitable for cultivation in the net houses. The transmitted data from the net house is analyzed using a machine learning (ML) algorithm executing over the cloud server. This intelligent system drives the actuating device on crossing the threshold value, which regulates the important parameter and keep them at the optimum level inside the net house. The overall activity of the system is accessible by the farm manager using a dedicated mobile application. This technique will fully discard the requirement of man power and will also provide the maximum efficiency with the use of optimum resources.
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