The Features of Wireless Technologies Application for Smart House Systems

Tulenkov, Artem; Parkhomenko, Anzhelika; Sokolyanskii, Aleksandr; Stepanenko, Alexander; Zalyubovskiy, Yaroslav

doi:10.1109/idaacs-sws.2018.8525842

Cited by 8 publications

(5 citation statements)

References 9 publications

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“…HEMSs consist of multiple solutions (devices, sensors, actuators) integrated into one management system, as per Tulenkov et al (National Technical University of Zaporizhzhia). Modern HEMS technologies started to incorporate wireless connectivity as well as different topologies and protocols for SHSs meeting basic requirements: simple installation and usage, high degree of data protection and minimum costs [26].…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of Current Smart House Solutions: The Case of Portugal

Rego,

Castro,

Silva

2023

Energies

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The world is facing many challenges to keep up with growing energy demand and greenhouse gas and pollutant emissions. A possible solution is to integrate renewable energy sources (RESs) into residences and create energy management systems (EMSs) that reduce consumption and relieve the main grid in critical hours. This paper is focused on analyzing different EMSs using solar photovoltaic (PV) modules and three energy storage systems (ESSs) to increase savings without affecting the user’s needs, with thirty-three power consumption profiles and three energy tariffs over a 25-year investment to compare which solution presents the best economic result in each of the 297 analyzed scenarios. The results show that the higher the overall daily consumption values, the greater the profits for all EMSs. The lowest demand profiles lead to the best self-consumption and self-sufficiency results. PV-only systems with a tri-hourly tariff have the best overall results. In the case of battery operation, each case should be carefully analyzed in order to choose the correct technologies and tariff. The results also allowed us to verify that even though having more PV modules generates more energy, it can make a project less economically desirable.

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Section: Literature Reviewmentioning

confidence: 99%

Assessment of Current Smart House Solutions: The Case of Portugal

Rego,

Castro,

Silva

2023

Energies

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“…Así, una vez abarcado todo lo relacionado con el proyecto pudo ser implementado un prototipo a escala de un Smart Home, para su comprobar el funcionamiento de un modelo más pequeño pero que se puede llevar una implementación a mayor escala, integrando la administración y el control a través de una aplicación móvil en un smartphone, como se muestra en la Figura 1 y 2. Todo sistema IoT debe estar compuesto por un modelo de capas similar al OSI en las redes de datos o computadoras IP [18].…”

Section: Metodologíaunclassified

“…Para asegurar un buen funcionamiento del sistema IoT es necesaria la buena comunicación entre los actuadores y el microcontrolador, siendo la capa de lance de datos quien realiza este proceso [18]. En ella se encuentran el o los enrutadores que funcionan como puerta de enlace entre los actuadores y sensores a la Internet (en este proyecto se ha utilizado un Arduino Mkr1000), un administrador de dispositivos y varios protocolos de comunicación IP.…”

Section: Este Modelo Iot Está Compuesto Por 4 Capas Fundamentalesunclassified

Prototipo de Smart Home automatizado con IoT

Padilla¹,

Mendoza²

2020

Investig. innov. ing

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Objetivo: Diseñar e implementar un Prototipo de Smart Home automatizado orientado al Internet de las Cosas administrado vía una aplicación móvil. Metodología: La investigación fue de tipo deductiva, relacionando las variables del Internet de las Cosas y dispositivos utilizados dentro de los hogares. Asimismo, se utilizó tecnología aplicada, brindando una solución a una necesidad en los hogares orientada al Internet de las Cosas, desarrolladas en fases de diseño, implementación y montaje del sistema. Resultados: El prototipo de Smart Home con IoT desarrollado fue adaptado para funcionar en un hogar tamaño escala maquetado en material sintético y madera. Conclusiones: Se encontró que un Smart Home puede integrar diferentes dispositivos, electrodomésticos y sensores dentro de una casa y automatizarla con una mínima o ninguna intervención de las personas. El prototipo desarrollado puede mantener datos y registros de las diferentes variables IoT presentadas y automatizar a los dispositivos para trabajar de acuerdo con las necesidades del usuario. No sólo se nota una mejoría a través del proceso de automatización en el uso diario de los electrodomésticos sino también en la notificación de eventos de los sensores y el ahorro en el consumo de energía eléctrica, administrando todo desde una tableta o teléfono inteligente.

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“…After continuous efforts over a century, many types of wireless systems have emerged, such as Infrared, Bluetooth, Wireless-Fidelity (WIFI), Radio Frequency Identification (RFID), Global Positioning System (GPS), etc. Presently, wireless technology plays a key role throughout the world, and the applications could be found for communications in cities [1], public buildings [2], individual houses [3], cars [4], people [5], animals [6].…”

Section: Introductionmentioning

confidence: 99%

Making Sense of Complex Sensor Data Streams

Liu¹,

Dresp-Langley

2021

Electronics

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This concept paper draws from our previous research on individual grip force data collected from biosensors placed on specific anatomical locations in the dominant and non-dominant hand of operators performing a robot-assisted precision grip task for minimally invasive endoscopic surgery. The specificity of the robotic system on the one hand, and that of the 2D image-guided task performed in a real-world 3D space on the other, constrain the individual hand and finger movements during task performance in a unique way. Our previous work showed task-specific characteristics of operator expertise in terms of specific grip force profiles, which we were able to detect in thousands of highly variable individual data. This concept paper is focused on two complementary data analysis strategies that allow achieving such a goal. In contrast with other sensor data analysis strategies aimed at minimizing variance in the data, it is necessary to decipher the meaning of intra- and inter-individual variance in the sensor data on the basis of appropriate statistical analyses, as shown in the first part of this paper. Then, it is explained how the computation of individual spatio-temporal grip force profiles allows detecting expertise-specific differences between individual users. It is concluded that both analytic strategies are complementary and enable drawing meaning from thousands of biosensor data reflecting human performance measures while fully taking into account their considerable inter- and intra-individual variability.

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The Features of Wireless Technologies Application for Smart House Systems

Cited by 8 publications

References 9 publications

Assessment of Current Smart House Solutions: The Case of Portugal

Assessment of Current Smart House Solutions: The Case of Portugal

Prototipo de Smart Home automatizado con IoT

Making Sense of Complex Sensor Data Streams

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