This thesis describes creation of dynamically evolvable node, which will cooperate with other nodes. Group of these nodes will then create a distributed control system. The MQTT protocol is used for communications purposes between individual nodes. As hardware platform is used ESP32 and ESP8266. Whole operating system is written in MicroPython and supports a live uploading of user applications written in the same language. Later in thesis is decribed creation of monitoring node on Raspberry Pi, which control network. Complete system can be then used to control a intelligent house.

Master’s thesis deals with the design of development kit for communication between a microcontroller and a computer using USB, Bluetooth, WiFi and Ethernet interfaces. In the theoretical introduction is the analysis of theese interfaces and the interfaces used for communication by the microcontroller. In the next part, components for the development kit are selected. Then a wiring diagram and the printed circuit board is designed. Next, the firmware design is described. The last chapter deals with the implementation and testing of the development kit. The appendix contains a proposal for a laboratory task to introduce the development kit to students.

This work deals with connecting remote devices measure data of various types from physical quantities such as a temperature, a humidity to data displaying CPU or memory usage of the system to the user. The system uses Blockly to controlling logic and dependencies between devices. In the work is used lots of technologies for examples: MQTT, Websockets, GSM, Lightweight Mesh and others. The system is based on microservice which named is Flask. Flask service is an application interface for HTTP services of Python programming language. This can provide measured data by graphs and predefined components for viewing data. For controlling system was used single-board computer Raspberry Pi with a multitouch 7-inch display.

The aim of the diploma thesis is to study the possibilities of creating a monitoring system for older production facilities already in operation. Select the necessary components for the nature of the equipment to create a system that is able to capture and provide information about activities on the equipment. The second goal is to design a suitable communication model for clear information about the operation, sending and storing data. The third goal is to analyze the dual-core ESP32 microprocessor against its predecessors in the role of system control unit.

Master’s thesis deals with the design of monitoring of handling equipment. Measured quantities are the switched-on state of the forklift, the time of active use, monitoring of transported material, and the total traveled distance. For each quantity, several possible sensing methods are outlined followed by a summary of the pros and cons of each method, which served as the basis for selecting the most suitable sensor for sensing the required information. The theoretical part of the thesis outlines the proposals in terms of both theoretical aspects as well as the implementation of the sensors along with proposals for possible mounting on a forklift. The proposed application was built on top of the Workmonitor RKC2.0 development kit, which was first developed for injection molding machine monitoring equipment. The proposed solution further expands the Workmonitor RKC2.0 software with additional features, such as forklift data collection, data processing, and streaming of collected data via WiFi to a local server. The final part then describes the mounting of sensors in the forklift, the final software changes, and the presentation of the collected data.

Biogas is a renewable energy source produced by decomposing organic matter in the absence of oxygen. Without oxygen, organic matter is broken down in this process, producing a mixture of gases that may be used for a variety of tasks, such as heating, cooking, and producing power. In contrast to conventional fossil fuels, biogas is economical and sustainable. Additionally, it may be produced from waste products like animal manure and agricultural wastes, which has considerable economic advantages. Due to its capacity to lower greenhouse gas emissions and solve climate change challenges, biogas has grown in popularity. To find the most effective source of biogas, scientists are constantly studying different types of bacteria and organic waste. The biologists can receive assistance from technicians to expedite the development of this field. Assistance can be provided by enhancing the laboratory equipment to make them more intelligent, user-friendly, and productive, which is the focus of this research endeavour. This study's state-of-the-art is an Automatic Methane Potential Test System currently utilised in laboratories and available for purchase. This project aims to redesign the blending mechanism of the Automatic Methane Potential Test System. The system is designed to operate independently using CAN communication and an edge device (a smartphone) that connects to the system via Bluetooth. The application for smartphones is designed to communicate with a master controller using Bluetooth Classic to send and receive data. Which, in turn, uses CAN-bus to interact with 18 bioreactors remotely. The TMC5130 stepper motor controller is utilised in this project, offering cutting-edge characteristics that meet the project's needs. The system's components have each been individually tested on a prototype. The result is encouraging and shows that, with modest adjustments, the conceptual design might one day successfully replace the current system.

On a scorching summer day in 2015, a campus maintenance worker was observed emptying a trash bin. Upon closer observation, it was noted that the bin was not full; in fact, it was less than one third full. There were other bins that were full and needed to be emptied urgently. It was confusing and problematic to see that bins that needed more attention were not prioritized. After extended research, it was found that maintenance operates on daily routes to pick up trash at designated times, regardless of the level of trash in the bins. Therefore, to tackle this issue, the author decided to use the Internet of Things (IoT) to develop a prototype that will optimize trash collection and reduce costs of waste management and pollution; this device is named the Eco-Smart Can.

The Internet of Things (IoT) is a concept where sensors combined with microcontrollers enhance our everyday life. In the year 2050, there will be around 30 billion connected IoT systems, for developing this large amount of systems and maintaining them there will be a need to use over-the-air updates (OTA). With the increasing growth of IoT systems, there will also rise more OTA update solutions as tools for maintaining and enhancing IoT systems. In this bachelor's degree project, evaluations and comparisons of different OTA update techniques supporting microcontrollers of the type ESP32 are done by using controlled experiments. This study focuses on testing the update procedure with experiments that test OTA update deployment time and update rollback functionality.

This report presents the design of a conceptual prototype aimed at identifying keys in specific positions inside a cabinet utilizing Radio-frequency identification (RFID)technology. The prototype integrates RFID readers, managed by a microcontroller unit(MCU), establishing a backend peripheral system. The cabinet is made of steel, and given RFID’s sensitivity to nearby metal, experimentation was conducted to evaluate the impact of metal proximity on the reading range. Experimental results reveal a reduction in the reading range of 15 mm (43%) by one metal sheet and 26 mm (74%) by two metal sheets present, highlighting the relation between RFID technology and metallic environments. Additionally, the finished prototype is also presented in the Results and Discussion section, giving a more detailed insight into its practical implementation. This project demonstrates the viability of item-level identification through the utilization of low-frequency readers. Particularly relevant for positional identification, the short reading range of a low-frequency reader offers precision by limiting the area in which a detected transponder may be located. / Denna rapport presenterar designen av en konceptuell prototyp avsedd att identifiera nycklar på specifika positioner i ett skåp med användning av Radio-frequency identification (RFID) teknologi. Prototypen integrerar RFID läsare, hanterade av en microcontroller unit (MCU), och etablerar ett perifert backendsystem. Skåpet är gjort av stål, och givet RFIDs känslighet mot nära metal har experiment utförts för att utvärdera hur metallen påverkar en läsares omfång. Experimentella resultat avslöjar en reduktion i läsarens omfång på 15 mm (43%) med en metallplatta och 26 mm (74%) med tvåmetallplattor närvarande. Dessutom presenteras den färdiga prototypen i Resultat och Diskussionsdelen, för att ge en mer detaljerad insyn på dess praktiska implementation. Detta projektet demonstrerar genomförbarheten av identifikation på artikelnivå genomanvändandet av lågfrekvens läsare. Särskilt relevant för positionell identifikation är det korta omfånget av en lågfrekvens läsare, då detta erbjuder precision genom att begränsaområdet där en transponder kan lokaliseras.

Accurate and cost-effective weather prediction is crucial for various industries, yet current methods and tools are either expensive or lack real-time, local applicability. This thesis presents the development and evaluation of a cost-effective sky-imaging weather station designed to accurately track cloud cover using a combination of visual and environmental data. Our research focuses on constructing a system that utilises a single camera and image processing techniques for cloud separation. By employing colour-space filtering and modern image processing methods, we aim to enhance accuracy while minimising costs. The hardware design leverages consumer-grade components, reducing the unit cost to a fraction of existing solutions. The methodology involves an iterative design process, expert consultation, and rigorous testing to refine the prototype. We evaluate the system's performance by comparing sensor readings to METAR data and assessing accuracy. Additionally, we investigate the feasibility of using the Lifted Condensation Level as a substitute for Cloud Base Height. Our findings demonstrate that it is possible to create a sky-imaging weather station at a cost significantly lower than that of comparable products while achieving accurate cloud tracking and separation. This research contributes to the field by offering a practical, low-cost sky imager with potential applications in everyday weather preparedness, industrial forecasting, and solar energy management.