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https://repositorio.uti.edu.ec//handle/123456789/3272
Title: | System for Monitoring and Controlling Industrial Lighting with Amazon Alexa |
Authors: | Ayala-Chauvin, Manuel Saá, Fernando Villarroel-Córdova, Fernando De la Fuente-Morato, Albert |
Issue Date: | 2021 |
Publisher: | Advances in Intelligent Systems and Computing. Volume 1367 AISC, Pages 473 - 482 World Conference on Information Systems and Technologies, WorldCIST 2021. Terceira Island. 30 March 2021 through 2 April 2021 |
Abstract: | Intelligent devices, used along with sensors, are becoming more commonplace in industrial contexts. One such device, Amazon Echo (which runs Amazon Alexa), can be used to interact with other industrial systems via voice commands. Taking advantage of this, a skill to control the illumination system of a company has been developed, while also being able to measure power consumption in real time. Besides Echo, the system employs easily obtainable electronic components such as NodeMCU4 and Sonoff Pow, while running open-source software like IDE Arduino and Amazon Developer. Besides the voice commands, the system can be controlled via a cell phone touch app and a manual system. Tests show the skill successfully controls the illumination system and provides accurate power consumption data in real time. This skill can also be replicated in other industrial contexts. |
URI: | https://link.springer.com/chapter/10.1007/978-3-030-72660-7_45 http://repositorio.uti.edu.ec//handle/123456789/3272 |
Appears in Collections: | Artículos Científicos Indexados |
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