Teodoro Montanaro, Ilaria Sergi, Giovanni Marco Bisanti, Alessandro Cambò, L. Patrono
{"title":"Fast-prototyping Approach to Design and Validate Architectures for Smart Home","authors":"Teodoro Montanaro, Ilaria Sergi, Giovanni Marco Bisanti, Alessandro Cambò, L. Patrono","doi":"10.24138/jcomss-2021-0005","DOIUrl":null,"url":null,"abstract":"The Internet of Things has contributed to make smarter houses and buildings in the last decades. Different existing works already integrate IoT technologies in homes, but end-user needs continuously change and researchers must face this challenge in identifying platforms to fast prototype solutions satisfying these new needs. This paper presents a solution that demonstrates how well-known fast-prototyping technologies like Node-RED, IBM Watson, Telegram, Raspberry Pi 4, and secured MQTT can contribute to develop complex systems facing the challenge. The selected tools are used within a smart home context to support features inspired by people needs and allow users to: a) consult real time conditions (i.e., temperature, humidity, gas), b) remotely manage lights, c) save energy through a light management system based on user movements, d) remotely monitor the house through dedicated webcams, e) generate warning notifications in case of danger. Users can interact with the systems through a web Node-RED dashboard and a Telegram bot. Differently from existing works, the feasibility of the implemented system and the efficacy of the exploited platforms are demonstrated through a running scenario extracted from a consolidated study on user needs in smart homes. The performed experiment can facilitate the fast prototyping of new solutions.","PeriodicalId":38910,"journal":{"name":"Journal of Communications Software and Systems","volume":" ","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Communications Software and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24138/jcomss-2021-0005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 1
Abstract
The Internet of Things has contributed to make smarter houses and buildings in the last decades. Different existing works already integrate IoT technologies in homes, but end-user needs continuously change and researchers must face this challenge in identifying platforms to fast prototype solutions satisfying these new needs. This paper presents a solution that demonstrates how well-known fast-prototyping technologies like Node-RED, IBM Watson, Telegram, Raspberry Pi 4, and secured MQTT can contribute to develop complex systems facing the challenge. The selected tools are used within a smart home context to support features inspired by people needs and allow users to: a) consult real time conditions (i.e., temperature, humidity, gas), b) remotely manage lights, c) save energy through a light management system based on user movements, d) remotely monitor the house through dedicated webcams, e) generate warning notifications in case of danger. Users can interact with the systems through a web Node-RED dashboard and a Telegram bot. Differently from existing works, the feasibility of the implemented system and the efficacy of the exploited platforms are demonstrated through a running scenario extracted from a consolidated study on user needs in smart homes. The performed experiment can facilitate the fast prototyping of new solutions.
在过去的几十年里,物联网为更智能的房屋和建筑做出了贡献。不同的现有作品已经将物联网技术集成到家庭中,但最终用户的需求不断变化,研究人员必须面对这一挑战,确定平台以快速原型解决方案满足这些新需求。本文提出了一个解决方案,演示了Node-RED、IBM Watson、Telegram、Raspberry Pi 4和安全MQTT等著名的快速原型技术如何有助于开发面临挑战的复杂系统。选定的工具在智能家居环境中使用,以支持受人们需求启发的功能,并允许用户:a)查询实时条件(即温度,湿度,气体),b)远程管理灯,c)通过基于用户动作的灯光管理系统节省能源,d)通过专用网络摄像头远程监控房屋,e)在发生危险时生成警告通知。用户可以通过网络Node-RED仪表板和Telegram机器人与系统进行交互。与现有工作不同的是,通过对智能家居用户需求的综合研究提取的运行场景来展示所实施系统的可行性和所开发平台的有效性。所进行的实验可以促进新解决方案的快速原型。