The house in which the family live, should be built for the specific lifestyle residents and respond intelligently to their current and changing needs. Nowadays there are some new buildings that have such requirements partially resolved. The proposed project is based on the situation of families living in older buildings that no longer complies with their needs. Therefore they are considering home reconstruction to transform house into so-called "smart" house or apartment. The project deals with the functioning of modern living that reflects the lifestyle and how to be a house or flat is used. It takes into account the location of individual system components (control and regulation elements, controls, cameras, sensors, audio-visual equipment, etc.), and their interconnection to the selected specific component types that are in keeping with the style and interior design. The work is based on the description of the ideal smart home functionality to create smart design solutions of selected house based on currently available technologies. Detailed design is developed using available technology to control home appliances.

The aim of the thesis was to ensure simple and clear operation while providing users the ability to monitor and analyze the current historical data from sensors in the smart home. Beyond the task I have extended the work on the Windows Phone platform. Designed user interface based on the requirements for intelligent home control in the project IoT (Internet of Things), which are written in this work. Tests were conducted using the available auto-mated testing and continuous testing at alpha and beta. Finally, the quality of the interface and user friendliness assessed using questionnaires.

This thesis deals with notification between smart phone and application server which controls intelligent home. It is focused on Android mobile platform and it is implemented for that platform. Notification service Google Cloud Messaging is used because it is not possible to directly address mobile phones from server. Based on actual position and user defined area the server is informed about moving to or from the area. The server can perform defined event automatically with these information. Implementation was tested in real system. Alpha and beta versions were regularly published.

This diploma thesis deals with the analysis, description and usage of sensor data from an intelligent home system. This term also describes the intelligent system BeeeOn, which provides a sensor data and the possibility of extending this system to automation tasks. This is followed by the analysis of all the measured physical quantities, their properties and their influence on humans. The results from the measured data were used to create a classifier based on deep neural networks to detect current events at home. Detected events can be used for the following automation system to help improve living conditions. At the end of this thesis are discussed the results and options to continue with this project.

This thesis's main objective is to conduct a comparison study between measured values and simulated results of a demonstrator, of the intelligent home energy management (iHEM) project. The comparison helps to validate the simulation. TRNSYS software is used for the design. In this study, only the thermal energy side of the project is considered. In which system-level (both domestic hot water (DHW), space heating (SH)) and component level (solar collector, gas boiler) are considered as the parameters to compare. An attempt is made to optimize both system-level and component-level simulation outputs with measured values by adopting measured boundary conditions as simulation inputs.During the comparison, the DHW loop simulation design is modified. The measured data were given as input files for simulation, replacing the estimated values used before. This is done to optimize the simulation output with measured data. In the space heating loop (SH), the simulated building model’s parameters were changed to optimize the SH demand. After the system-level validation and optimization, the component level comparison is carried out. For this, the simulation output of solar thermal collectors and gas boiler are compared with measured values. The solar collector loop in the simulation is modified to optimize the simulated results. The seasonal and yearly efficiencies of the collector have been calculated. Solar supply fraction and gas boiler supply fraction is also determined. For the comparison, graphs are plotted for three different weeks, representing the spring, summer, and winter months of 2018.The final optimized simulation output of DHW demand is 7% less than the measured value. Even after optimizing the Space heating loop (SH), the simulated building demand is 17% more heat than the demonstrator building. The simulation's solar collector output is optimized close to the measured values. The simulated gas boiler produces 19% more than the demonstrator system to meet excess SH demand in the simulation (including losses). The overall yearly collector efficiency calculated for measured and simulated values are 58% and 50%, respectively. The estimated solar collector supply fraction and gas boiler supply fraction is 26%, 76% for measured, and 23%, 81% for simulation, respectively.

This thesis's main objective is to conduct a comparison study between measured values and simulated results of a demonstrator, of the intelligent home energy management (iHEM) project. The comparison helps to validate the simulation. TRNSYS software is used for the design. In this study, only the thermal energy side of the project is considered. In which system-level (both domestic hot water (DHW), space heating (SH)) and component level (solar collector, gas boiler) are considered as the parameters to compare. An attempt is made to optimize both system-level and component-level simulation outputs with measured values by adopting measured boundary conditions as simulation inputs.During the comparison, the DHW loop simulation design is modified. The measured data were given as input files for simulation, replacing the estimated values used before. This is done to optimize the simulation output with measured data. In the space heating loop (SH), the simulated building model’s parameters were changed to optimize the SH demand. After the system-level validation and optimization, the component level comparison is carried out. For this, the simulation output of solar thermal collectors and gas boiler are compared with measured values. The solar collector loop in the simulation is modified to optimize the simulated results. The seasonal and yearly efficiencies of the collector have been calculated. Solar supply fraction and gas boiler supply fraction is also determined. For the comparison, graphs are plotted for three different weeks, representing the spring, summer, and winter months of 2018.The final optimized simulation output of DHW demand is 7% less than the measured value. Even after optimizing the Space heating loop (SH), the simulated building demand is 17% more heat than the demonstrator building. The simulation's solar collector output is optimized close to the measured values. The simulated gas boiler produces 19% more than the demonstrator system to meet excess SH demand in the simulation (including losses). The overall yearly collector efficiency calculated for measured and simulated values are 58% and 50%, respectively. The estimated solar collector supply fraction and gas bo

Det problem som denna uppsats hade för avsikt att besvara var varför hemautomation inte används i fler hem. Genom resultaten från en enkät som distribuerades kunde slutsatsen att kostnaden för de befintliga lösningar som finns på marknaden idag inte låg i den prisklass våra respondenter ansåg rimlig. Författarna utvecklade då problemet och ställde sig frågan om en hemautomationslösning verkligen måste ha en så hög kostnad som de befintliga lösningarna har idag. För att belysa detta problem implementerades en egen kostnadseffektiv lösning där respondenternas mest önskvärda funktioner togs i beaktande och en testmiljö implementerades utefter dessa. Resultatet blev en hemautomationslösning med stor potential och med en betydligt lägre kostnad än dagens befintliga lösningar. / The problem this study intended to answer was why home automation is not used in more homes. The results of a survey that was distributed could conclude that the cost of existing solutions available on the market today is not within the price range our respondents considered reasonable. The authors then evolved the problem and asked themselves whether home automation really need such a high cost as the existing solutions today. To illustrate this problem, the authors implemented a cost-effective solution where respondents' most popular features were in regard. The result was a home automation solution with great potential and with a significantly lower cost than today's existing solutions.

The aim of this thesis is to create and describe the wireless system for lighting control. A part of the work is the creation of modules for switching lighting and the creation of their operating programs. The first chapter briefly describes the way how the lighting control works and contains general requirements for the intelligent home. Further, there is a description of IQRF system, which serves as a wireless platform for the system. Next part of the thesis describes individual modules in terms of hardware and software. One part of the work covers the description of the transmission protocol. The attachment includes a listing of all operating programs for this wireless control system.