FSAS:基于物联网的作物田间存储安全系统

IF 1.9 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Chandra Prakash, Anurag Barthwal, S. Avikal, Gyanendra Kumar Singh
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引用次数: 1

摘要

物联网抽象了通过互联网远程关联和观察事物或对象的能力。当涉及到农业时,这一想法已被纳入农业相关任务的智能,安全和自动化。农业对经济增长和人类的生存至关重要。生活在印度农村地区的农民面临着一个共同的问题,即用于储存农作物的小型仓库的感应电机等设备被盗。在这项研究中,我们提出了一个远程安全管理框架,用于监控农田仓库,被称为农场安全警报系统(FSAS)。FSAS是一种小型、节能、低成本和精确的安全管理系统,它使用基于微控制器的无源红外(PIR)传感器和全球移动通信系统(GSM)模块,在作物田间存储发生入侵事件时向农场所有者发出警报。所提出的模型使用的微控制器板是Arduino Uno,并使用PIR运动传感器来识别入侵者。此外,FSAS也可以用于监测感应电机利用类似的传感器安排。只要入侵者在传感器节点的感知范围内,传感器信号就被传输到云。朴素贝叶斯的预测模型被用来识别入侵的程度为无(绿色)、轻度(黄色)或高(红色)威胁。农场主人可以在任何距离通过智能手机接收状态和警报,无论是作为应用程序警报,还是作为短消息/电话,并且与他们的手机是否连接到互联网无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FSAS: An IoT-Based Security System for Crop Field Storage
Internet of Things abstracts the ability to remotely associate and observe things or objects over the Internet. When it comes to agriculture, this idea has been incorporated to make agriculture-related tasks smart, secure, and automated. Agriculture is vital for economic growth and also for the survival of humans. Farmers living in rural areas of India face a common problem of the theft of equipment like induction motors from small storage houses meant for storing commodities in crop fields. In this study, we present a remote security management framework for monitoring the crop field storage house, known as the farm security alert system (FSAS). FSAS is a small, energy efficient, low cost, and accurate security management system that uses microcontroller-based passive infrared (PIR) sensor and global system for mobile communication (GSM) module to generate an alert to the farm owner if there is an intrusion event at the crop field store. The microcontroller board utilized in the proposed model is the Arduino Uno, and PIR motion sensor is used to recognize the intruder. In addition, FSAS also can be used for monitoring of induction motor by utilizing a similar arrangement of sensors. The sensor signal is transmitted to the cloud whenever the intruder is within the sensing range of the sensor node. Naive Bayes’ prediction model is used to identify the level of encroachment as no (green), mild (yellow), or high (red) threat. The status and the alarms can be received by the farm owners, either on their smartphones as application alerts or as a short message/phone call, at any distance, and independent of whether their cell phones are connected to the Internet.
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来源期刊
CiteScore
6.50
自引率
4.30%
发文量
94
审稿时长
3.6 months
期刊介绍: International Journal of Distributed Sensor Networks (IJDSN) is a JCR ranked, peer-reviewed, open access journal that focuses on applied research and applications of sensor networks. The goal of this journal is to provide a forum for the publication of important research contributions in developing high performance computing solutions to problems arising from the complexities of these sensor network systems. Articles highlight advances in uses of sensor network systems for solving computational tasks in manufacturing, engineering and environmental systems.
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