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Smart Lumini: A Smart Lighting System for Academic Environments Using IOT-Based Open-Source Hardware

Rational energy consumption in large buildings depends on both the users' consumption culture and the management systems implemented. In Colombia, few buildings have an energy management system characterized by its adaptability to the user and with a certain degree of intelligence. Thus, this document describes the summarized research process for the development of an Internet of Things (IoT) system, which has been designed to promote an intelligent lighting service in an academic environment. The IoT system orchestrates a series of sensors, monitoring systems and controlled actions, all based on the principle of making the system functions and consumption records available in real-time, via web services. The devices used are "Things" with improved functionality, becoming "Smart Things" within the IoT paradigm. Methodologically, an experimental process was followed, linking the development of electronic tools, the construction of services, and the development of interfaces for a pleasant user experience. Research contributes to two essential areas: intelligent buildings, through the intelligent adaptation of an environment; and sustainability and eco-innovation, since the system provides appropriate information for environmental education, in terms of real-time energy consumption, that impacts directly on the fair-use culture of a service expensive for the environment.
- Corporación Universitaria Autónoma de Nariño Colombia
- Pedagogical and Technological University of Colombia Colombia
- University of Cauca Colombia
- Pedagogical and Technological University of Colombia Colombia
- University of Cauca Colombia
Building Energy Efficiency and Thermal Comfort Optimization, Energy Efficiency, Economics, Internet of Things, Building automation, ubiquity, Systems engineering, Engineering, Sociology, Service (business), Embedded system, Biology, energy efficiency, machine to machine (m2m), Global and Planetary Change, Adaptation (eye), Architectural engineering, Ecology, Impact of Nighttime Light Data on Various Fields, Physics, Optics, Building and Construction, Economy, Engineering (General). Civil engineering (General), Social science, internet of things, Computer science, Process (computing), FOS: Sociology, Adaptability, Energy consumption, Consumption (sociology), Operating system, Sustainability, FOS: Biological sciences, Electrical engineering, Physical Sciences, Environmental Science, smart buildings, Thermodynamics, TA1-2040
Building Energy Efficiency and Thermal Comfort Optimization, Energy Efficiency, Economics, Internet of Things, Building automation, ubiquity, Systems engineering, Engineering, Sociology, Service (business), Embedded system, Biology, energy efficiency, machine to machine (m2m), Global and Planetary Change, Adaptation (eye), Architectural engineering, Ecology, Impact of Nighttime Light Data on Various Fields, Physics, Optics, Building and Construction, Economy, Engineering (General). Civil engineering (General), Social science, internet of things, Computer science, Process (computing), FOS: Sociology, Adaptability, Energy consumption, Consumption (sociology), Operating system, Sustainability, FOS: Biological sciences, Electrical engineering, Physical Sciences, Environmental Science, smart buildings, Thermodynamics, TA1-2040
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).7 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
