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Design of a smart house control system
Ovesný, David ; Burian, František (referee) ; Fiedler, Petr (advisor)
This bachelor thesis deals with the comprehensive design solution of a smart home using Loxone technology. Through the appropriate implementation of sensors, actuators, and a central control system, a comprehensive solution for home automation processes is proposed. The theoretical part introduces Loxone technology and briefly compares it with the competing ABB free@home technology. The practical section involves the selection of suitable hardware components and the description of control algorithms. The conclusion of the thesis is dedicated to a cost comparison with the competing technology.
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Smart home in a family house
Boháč, Kryštof ; Benešl, Tomáš (referee) ; Sýkora, Tomáš (advisor)
This thesis deals with the implementation of the control of a family house built on Loxone technology. The first part of the thesis describes the concept of building management systems, the Loxone system and alternatives that could also be used for the implementation. In the following part the components for the final implementation of the house are selected. Furthermore, the thesis deals with the project documentation and the implementation of the control algorithm for the selected building. Finally, the resulting cost and comparison with other types of installations is then addressed.
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Extensible Rust Library for the Development of Embedded Sensor Applications on ESP32 Platform
Mikhailov, Kirill ; Tinka, Jan (referee) ; Šimek, Václav (advisor)
Tato práce představuje rozšiřitelnou knihovnu jazyka Rust určenou pro vestavěné senzorové aplikace na platformě ESP32, která řeší potřebu zjednodušeného vývoje reálných vestavěných systémů v prostředí jazyka Rust na této platformě. Významným přínosem této práce je vývoj uživatelsky přívětivého rozhraní pro správu senzorů. Toto rozhraní umožňuje jednoduchou instalaci, aktivaci a monitorování senzorů, což vyhovuje aplikacím, jako jsou inteligentní domy a automatizace, aniž by vyžadovalo hluboké technické znalosti periferií. Architektura knihovny je pečlivě navržena s ohledem na modularitu a rozšiřitelnost a dodržuje zásady bezpečnosti a efektivity Rustu. Projekt je doprovázen rozsáhlou dokumentací a je zveřejněn na platformě GitHub pod open-source licencí Apache, doplněn unit-testy a příklady použití. V závěru práce je zhodnocena funkčnost knihovny a její případná budoucí vylepšení, která ukazují její praktičnost pro vývojáře vestavných systémů.
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Adaptivní systém pro řízení osvětlení ve Smart Home
Valík, Tomáš ; Rozman, Jaroslav (referee) ; Janoušek, Vladimír (advisor)
The thesis deals with the issue of lighting control in smart homes. In most smart homes, it is necessary to manually control the lighting using switches or mobile devices. The thesis introduces an adaptive control system based on recurrent neural networks, which gradually learns user manipulation with the lighting and eventually begins to independently control the lighting after a certain period of time.
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Using machine learning methods to save energy in a smart home
Grünwald, Adam ; Herout, Adam (referee) ; Materna, Zdeněk (advisor)
This thesis addresses the use of machine learning for energy saving in the home, specifically focusing on the use of hot water boiler consumption prediction for smart heating. A sequential neural network with an LSTM layer is used to predict the consumption, which is trained on data such as hot water consumption over time, presence of users in the home, time of day or current weather information. Data were collected in two test households. This prediction is then used in an implemented algorithm that ensures that the water in the boiler is heated to a higher temperature, the value of which is determined by the amount of predicted heat extracted, before the predicted hot water consumption. Thanks to this smart heating, the heat loss of the boiler has been reduced and thus the energy consumption has been reduced by almost 27% while maintaining the thermal comfort of the household members. This solution, which allows its users to save more than 1500 Kč annually, has also been released as an add-on as part of the Home Assistant platform.
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Smart home based on Loxone
Karnatov, Vitalij ; Cejpek, Zdeněk (referee) ; Dosoudilová, Monika (advisor)
In this thesis, the issue of intelligent home was addressed. The aim of the work was to describe and explain the concept of smart home, to conduct a research of available systems on our market and to describe the principles and functioning of smart home through the Loxone system. Furthermore, the thesis describes the design and implementation of a intelligent home through the Loxone system and its configuration in the Loxone Config software. The thesis marginally discusses the communication protocols used by smart home systems, the historical development and compares intelligent and conventional home.
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From a Dumb Boiler to a Smart One Using a Smart Socket
Grünwald, Adam ; Kapinus, Michal (referee) ; Materna, Zdeněk (advisor)
The goal of this thesis is to extend a smart home by a smart boiler created from a dumb one with help of a smart plug and two temperature sensors for measuring values in a boiler. This smart boiler will be able to adapt to the household's schedule of using hot water using a learning algorithm, which uses historical data of hot water consumption measured on the boiler. Heating to higher temperature is happening before expected consumption or on request, which is represented as a special event in Google Calendar. The boiler can be either turned off with help of Google Calendar, which can be used when the whole family goes on holiday and it isn't needed to heat the water in the boiler. Programs for collecting and evaluating data, managing the heating of boiler, the database, and service showing statistics, run on a laptop in a local network. The main benefit of the thesis is creating a device, which can adapt boiler to smart home and reduce electricity costs on hot water heating by more than 30 %, which on 80 l boiler represents savings of more than 130 Euro per year.
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Realization of a Model with a Smart Home Components
Fuxa, Dominik ; Sýkora, Tomáš (referee) ; Jirgl, Miroslav (advisor)
At the beginning, Bachelor thesis introduces possible smart home solutions that have already been designed and tested, whether from different companies or freely available open-source solutions. Subsequently, the work is devoted to selecting components for the smart home, programming its own software for managing the smart home, as well as designing a complete functional model.
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Intelligent Household Management
Unzeitig, Patrik ; Široký, Adam (referee) ; Musil, Martin (advisor)
The purpose of this bachelor thesis is to find out how intelligent household management works and then to design and construct system to control home's temperature. This thesis focuses on creation of physical part using Raspberry Pi and on implementation of controlling application, which can be used through touchscreen. Application uses XML file to make data persistent.
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