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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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From a Dumb Boiler to a Smart One Using a Smart Socket
Mitura, Jacek ; Zemčík, Pavel (referee) ; Materna, Zdeněk (advisor)
Nowadays, the world of smart devices is growing very fast. Nevertheless, it remains difficult to acquire smart device for water heating applications. The usual reasons complicating this fact include the lack of the possibility of connection to the central control unit, or the need to replace the entire boiler with a new smart model. In both cases, the additional disadvantage is the higher price of such a solution. Therefore, the aim of this bachelor's thesis is to create a comprehensive and affordable solution, ensuring the conversion of an existing boiler to smart using a smart socket and a central server controlling the household. The solution uses a daily consumption forecast based on an exponential moving average to save electricity.
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Smart power socket for charging electrical appliances in public areas
Chalupa, Tomáš ; Marada, Tomáš (referee) ; Zuth, Daniel (advisor)
This bachelor thesis is primarily focused on design and construction of a prototype smart power socket that will be used to charge electrical appliances in public areas. It provides user authentication based on an attached RFID element and monitoring of the charging progress. For this, it uses communication with an external cloud database. The actual construction of the prototype has been divided into three main parts in this thesis, control, electrical and mechanical. The introduction is also complemented by a research section dealing with microcontrollers, cloud systems and RFID technology.
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Smart Plug
Šebesta, Ondřej ; Szabó, Zoltán (referee) ; Marcoň, Petr (advisor)
The bachelor thesis discusses the design of a smart plug. The theoretical part focuses on the individual parts and functions of smart plugs, and their functional possibilities are analysed together with the related fabrication perspectives. The practical portion concentrates on the selection of appropriate components and proposes a complete design of the hardware and software of a smart plug, including a web server for its control. The practical portion also describes a calibration of a measuring part and compares measured values with values from another measuring device.
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Monitoring and control system
Taťák, Martin ; Fujcik, Lukáš (referee) ; Pavlík, Michal (advisor)
This thesis discusses the topic of internet of things and its protocols and compatible devices in the field of home automation. Also defines the requirements for the system which designs in the form of concept and afterward makes practical realization.
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Trully Smart Smart Socket
Valušek, Ondřej ; Zemčík, Pavel (referee) ; Materna, Zdeněk (advisor)
There is a large selection of so called smart sockets available on the market today. The possibilities of these sockets are sadly very limited. Typically, they can measure power consumption, be turned off and on remotely by mobile application and timer. This thesis deals with this problem by showing how a smart relay can be used to create a truly smart smart socket that can classify currently connected appliances using just short time window for up to three devices combined. The power consumption is measured using Shelly 1PM together for three plugs. Using time series feature extraction, unknown device detection with SVM and neural network classification, the accuracy was over 99%. on a dataset containing combinations of smart TV, lamp and a laptop consumption. Information about currently connected devices is displayed on a webpage and written to a database to be viewed later. The information about connecting and disconnecting a device can be further sent to a system for smart home management.
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Chytrá zásuvka s podporou měření proudů
Janča, Jan
This work is aimed at creating a prototype of a smart socket that is able to measure the current power consumption and remotely switch on an individual socket. The prototype itself is built on an Arduino microcontroller and Arduino compatible components. Subsequently, all components are placed in a 3D printed box. The box is made of self-extinguishing material. A web interface is created for controlling the box, in which the current electricity consumption is found. This data is also stored on an SD card in a text file for future reference. The program for the Arduino is written in C++ and for the web interface using HTML.
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Trully Smart Smart Socket
Valušek, Ondřej ; Zemčík, Pavel (referee) ; Materna, Zdeněk (advisor)
There is a large selection of so called smart sockets available on the market today. The possibilities of these sockets are sadly very limited. Typically, they can measure power consumption, be turned off and on remotely by mobile application and timer. This thesis deals with this problem by showing how a smart relay can be used to create a truly smart smart socket that can classify currently connected appliances using just short time window for up to three devices combined. The power consumption is measured using Shelly 1PM together for three plugs. Using time series feature extraction, unknown device detection with SVM and neural network classification, the accuracy was over 99%. on a dataset containing combinations of smart TV, lamp and a laptop consumption. Information about currently connected devices is displayed on a webpage and written to a database to be viewed later. The information about connecting and disconnecting a device can be further sent to a system for smart home management.
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Smart power socket for charging electrical appliances in public areas
Chalupa, Tomáš ; Marada, Tomáš (referee) ; Zuth, Daniel (advisor)
This bachelor thesis is primarily focused on design and construction of a prototype smart power socket that will be used to charge electrical appliances in public areas. It provides user authentication based on an attached RFID element and monitoring of the charging progress. For this, it uses communication with an external cloud database. The actual construction of the prototype has been divided into three main parts in this thesis, control, electrical and mechanical. The introduction is also complemented by a research section dealing with microcontrollers, cloud systems and RFID technology.
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From a Dumb Boiler to a Smart One Using a Smart Socket
Mitura, Jacek ; Zemčík, Pavel (referee) ; Materna, Zdeněk (advisor)
Nowadays, the world of smart devices is growing very fast. Nevertheless, it remains difficult to acquire smart device for water heating applications. The usual reasons complicating this fact include the lack of the possibility of connection to the central control unit, or the need to replace the entire boiler with a new smart model. In both cases, the additional disadvantage is the higher price of such a solution. Therefore, the aim of this bachelor's thesis is to create a comprehensive and affordable solution, ensuring the conversion of an existing boiler to smart using a smart socket and a central server controlling the household. The solution uses a daily consumption forecast based on an exponential moving average to save electricity.
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