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A fuzzy-logic IoT lighting and shading control system for smart buildings
Automation in Construction ( IF 9.6 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.autcon.2020.103397
Giacomo Chiesa , Daniel Di Vita , Ahmadreza Ghadirzadeh , Andrés Hernando Muñoz Herrera , Juan Camilo Leon Rodriguez

Abstract The paper introduces a working prototype of an IoT system which controls natural and artificial light balance in combination with a dynamic shading system. The proposed solution adopts a scalable approach to smart system integration in buildings based on sensing and actuating nodes (Arduino-driven) and on a main unit (Raspberry-driven). A control App is developed to allow user interaction by setting seasonal automatic modes or manual functionalities. The required illuminance threshold may be changed, while the shading system acts in accordance with seasonal profiles in line with bioclimatic design principles. The control system adopts a fuzzy logic solution which is able to ensure fast control without high computational effort. Preliminary tests of the developed prototype are reported showing its main functionalities and its ability to maintain the required illuminance even in high variance conditions by adjusting both shading and lighting in less than 100 s. Currently, the solution has reached TRL 3.

中文翻译:

用于智能建筑的模糊逻辑物联网照明和遮阳控制系统

摘要 本文介绍了一个物联网系统的工作原型,该系统结合动态阴影系统控制自然光和人工光的平衡。所提出的解决方案采用可扩展的方法在建筑物中基于传感和执行节点(Arduino 驱动)和主单元(Raspberry 驱动)进行智能系统集成。开发了一个控制应用程序,允许用户通过设置季节性自动模式或手动功能进行交互。所需的照度阈值可能会发生变化,而遮阳系统会根据符合生物气候设计原则的季节性剖面进行操作。控制系统采用模糊逻辑解决方案,无需大量计算工作即可确保快速控制。所开发原型的初步测试报告显示其主要功能以及即使在高变化条件下通过在不到 100 秒内调整阴影和照明也能保持所需照度的能力。目前,该解决方案已达到 TRL 3。
更新日期:2020-12-01
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