地表跟踪器:基于物联网和云的火星探测原型模型

IF 1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Communication Networks and Distributed Systems Pub Date : 2019-05-15 DOI:10.30534/IJNS/2019/14832019
Jithu Biju
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引用次数: 0

摘要

如今,火星探险变得越来越重要,因为世界科学家正在研究红色星球是否能像蓝色星球一样生存。本文提出了一种可用于火星探测的原型模型。原型模型表面跟踪器是一个硬件设备,配备传感器,用于感知其部署的表面的温度、湿度和水分含量。温湿度传感器采用DHT22,湿度传感器采用FC-28。感测值被上传到物联网平台ThingSpeak和Blynk安卓应用程序,这些值可以在手机或笔记本电脑的屏幕上访问。基于结果,分析完成,如果分析结果是肯定的,设备将部署它携带的种子,到该表面。由于地球和火星的通信技术完全不同,该模型是基于火星表面使用的通信技术,通过对原型进行微小的修改,就可以在火星探险中有效实施的想法的原型。
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Surface Tracker: A prototypic model based on IoT and Cloud for Mars Expedition
Nowadays, Mars expeditions are gaining more significance as the world scientists are searching if the red planet can handle life as the blue planet doing. This paper presents a prototypic model that can be used in Mars expeditions. The prototypic model surface tracker is a hardware device equipped with sensors for sensing temperature, humidity, and moisture content of the surface to which it is deployed. For temperature and humidity, sensing the DHT22 sensor is used and FC-28 for moisture sensing. The sensed values are uploaded to IoT platform ThingSpeak and to the Blynk android app, the values are accessed on the screens of mobile or laptop. Based on the results, the analysis is done and if the analysis result is positive, the device will deploy the seeds which it carried, to that surface. The model is a prototype of the idea that can be implemented effectively in Mars expedition by making slight changes in prototype based on the communication technologies used in mars surface as the technologies supporting communication in earth and mars are entirelydifferent.
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来源期刊
CiteScore
2.50
自引率
46.20%
发文量
57
期刊介绍: IJCNDS aims to improve the state-of-the-art of worldwide research in communication networks and distributed systems and to address the various methodologies, tools, techniques, algorithms and results. It is not limited to networking issues in telecommunications; network problems in other application domains such as biological networks, social networks, and chemical networks will also be considered. This feature helps in promoting interdisciplinary research in these areas.
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