National Repository of Grey Literature 5 records found  Search took 0.01 seconds. 
System for Automatic Heating Control in Holiday Homes
Ježek, Lukáš ; John, Petr (referee) ; Hynek, Jiří (advisor)
The goal of this bachelor thesis was to design and implement a system for controlling heating and water heating in buildings divided into multiple zones with multiple heating sources. Typically larger and older holiday homes such as farmhouses or larger cottages that do not have only one heat source, however, the system will also be applicable to newer buildings. This system can be controlled either remotely or locally. RaspberryPi 4B was chosen as the platform from the IoT sector. This system solves, for example, the integration of a fireplace insert into a heating circuit together with a boiler, combi boiler or other heat source. Of the existing solutions, none allow efficient use of multiple sources with zoning, or the solution is expensive and inefficient. Moreover, the system offers extensibility to other IoT circuits.
Smart Home: Digital Thermostatic Valve Controlled via WiFi
Bednařík, Radim ; Kapinus, Michal (referee) ; Materna, Zdeněk (advisor)
This bachelor thesis deals with the design and creation of a prototype smart thermostatic valve head controlled via WiFi, created by modifying a cheap digital valve head eQ-3 N. And creating a system that would support the control of these valve heads and would allow the user to enter requirements using a graphical interface. The theoretical part deals with a survey of the current market of thermostatic valve heads offered, methods of heating control using control algorithms and modules for use in modifying the valve head. The practical part describes how to modify the valve head and the implementation of the control system. Part of the work is performing several tests to verify the correct behavior of the heating control of the created thermostatic valve head.
System for Smart Central Heating Regulation
Sikula, Jakub ; John, Petr (referee) ; Hynek, Jiří (advisor)
The goal of this bachelor's thesis was to design and implement a central heating control system with a focus on the control of individual rooms. This system is remotely controlled by the Logimic Smart City platform and automatically regulates the heating in an adaptive way. This method brings significant savings to households that are equipped with such a system. This solution differs from existing solutions mainly in that we enter the desired room temperature into the system and the system controls the heating elements so that they reach and maintain the desired room temperature.
Smart Home: Digital Thermostatic Valve Controlled via WiFi
Bednařík, Radim ; Kapinus, Michal (referee) ; Materna, Zdeněk (advisor)
This bachelor thesis deals with the design and creation of a prototype smart thermostatic valve head controlled via WiFi, created by modifying a cheap digital valve head eQ-3 N. And creating a system that would support the control of these valve heads and would allow the user to enter requirements using a graphical interface. The theoretical part deals with a survey of the current market of thermostatic valve heads offered, methods of heating control using control algorithms and modules for use in modifying the valve head. The practical part describes how to modify the valve head and the implementation of the control system. Part of the work is performing several tests to verify the correct behavior of the heating control of the created thermostatic valve head.
Home heating control system
Siegl, Petr ; Hnětynka, Petr (advisor) ; Bureš, Tomáš (referee)
The aim of this project was to create a system based on Raspberry Pi that would be able to control home heating. The system allows remote access through a web interface and have options to limit access to the application. The heating control is able to work in two different regimes, manual, that allow user to change in real-time, and predefined, that keeps the current temperature around a value that was previously set by the user. The system also stores data for possible future implementation of an automated learning regime. A part of the project focuses on solving problems with network address translation that may make it impossible to connect directly to the application running on Raspberry Pi at our home local network when connecting from external network. 1

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