基于物联网(IoT)的室内植物养护系统

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Ambient Intelligence and Smart Environments Pub Date : 2023-03-27 DOI:10.3233/ais-220483
Gleiston Guerrero-Ulloa, Alejandra Méndez-García, Valeria Torres-Lindao, Vivian Zamora-Mecías, C. Rodríguez-Domínguez, Miguel J. Hornos
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引用次数: 5

摘要

联合国制定的可持续发展目标清单将良好健康和福祉作为其主要目标之一。污染是全世界关注的问题,建筑物(家庭或工作场所)内的污染水平可能高于室外。为了缓解这一问题并改善空气质量,可以使用观赏植物。本文介绍了应用物联网(IoT)技术开发一个名为P4L的系统,P4L是“生命植物”的缩写。P4L的目标是对盆栽植物进行自动化护理,以改善空气质量,使建筑物的室内环境更健康。这个基于物联网的系统(iot)是通过低成本的arduino兼容组件开发的。此外,基于物联网系统的测试驱动开发方法(tddm4iot)已被用于指导P4L开发。事实上,本文在支持上述方法的基于物联网系统的测试驱动开发工具(tddt4iot)的帮助下,展示了应用该方法(一阶段一阶段)开发P4L的结果。为了验证该方法,我们在使用它的开发人员中进行了一项调查,结果表明它是高效的,涵盖了物联网开发的各个方面。
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Internet of Things (IoT)-based indoor plant care system
The list of Sustainable Development Goals created by the United Nations include good health and well-being as one of its primary objectives. Pollution is a concern worldwide, and pollution levels inside buildings (homes or workplaces) can be higher than outdoors. To alleviate this problem and improve air quality, ornamental plants can be used. This paper presents the application of Internet of Things (IoT) technologies to develop a system called P4L, an acronym for “Plants for Life”. The objective of P4L is the automated care of potted plants to improve air quality and make the indoor environments of a building healthier. This IoT-based system (IoTS) has been developed through low-cost Arduino-compatible components. In addition, the Test-Driven Development Methodology for IoT-based Systems (TDDM4IoTS) has been used to guide P4L development. In fact, this article shows the result of the application of this methodology (phase by phase), with the help of the Test-Driven Development Tool for IoT-based Systems (TDDT4IoTS), which supports the aforementioned methodology, to develop P4L. To validate the methodology, we conducted a survey among developers that have used it, the results of which show that it is efficient and covers all aspects of IoTS development.
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来源期刊
Journal of Ambient Intelligence and Smart Environments
Journal of Ambient Intelligence and Smart Environments COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
4.30
自引率
17.60%
发文量
23
审稿时长
>12 weeks
期刊介绍: The Journal of Ambient Intelligence and Smart Environments (JAISE) serves as a forum to discuss the latest developments on Ambient Intelligence (AmI) and Smart Environments (SmE). Given the multi-disciplinary nature of the areas involved, the journal aims to promote participation from several different communities covering topics ranging from enabling technologies such as multi-modal sensing and vision processing, to algorithmic aspects in interpretive and reasoning domains, to application-oriented efforts in human-centered services, as well as contributions from the fields of robotics, networking, HCI, mobile, collaborative and pervasive computing. This diversity stems from the fact that smart environments can be defined with a variety of different characteristics based on the applications they serve, their interaction models with humans, the practical system design aspects, as well as the multi-faceted conceptual and algorithmic considerations that would enable them to operate seamlessly and unobtrusively. The Journal of Ambient Intelligence and Smart Environments will focus on both the technical and application aspects of these.
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