This study deals with the technology of autonomous mobile robots (AMR) and their implementation on the SmartFactory production line at the Technical University of Ostrava. The task of the mobile robot is to cooperate with the production line, take over the manufactured products, and then deliver them. The content also includes a description of the individual steps that were necessary to make the mobile robot operational, such as loading a virtual map of the space, creating a network for communication with the mobile robot, and programming it. The main part of the experiment deals with testing the accuracy of moving the mobile robot to each position and establishing communication between the production line and the mobile robot. A high accuracy is a necessity in this process. The result of the study is the configuration of the autonomous mobile robot. The repetitive precision of the approach of the autonomous mobile robot to a position is ±3 mm.

This paper focuses on the design and realization of the advanced system for consumption meters state recognition. In this context, it means a variable volume flow meter, which shows the consumption of the value. The developed advanced system is based on the image signal recognition, thus display status reading of the consumption meters by the camera. There is described a unique solution that was given to the Patent Office of the Czech Republic. The specific structure of the hardware solutions and implemented recognition algorithms enables to realize extremely low cost device, with wireless connection to the user interface implemented on the cell phone platform with SMS text messages and personal computer application.DOI: http://dx.doi.org/10.5755/j01.eee.18.10.3062

The article introduces the design of an optical-based sensor that measures automotive exhaust gas temperatures (EGTs) over a wide temperature range. To measure temperature, we combined the luminescence method and the blackbody radiation (BBR) principle. We also developed our own measurement hardware that includes the means to process and evaluate the signals obtained for temperature conversion using optical methods for application in the target temperature range ( $-40\,\,^\circ \text{C}$ to 820 $^\circ \text{C}$ ). This temperature range is specified by the automotive industry according to current combustion engine designs and emission requirements, which stipulate accurate measurement of operating temperature for optimal functioning. Current measurement solutions are based on the thermocouple principle. This approach is problematic, especially with regard to electromagnetic interference and self-diagnostics, and problems also exist with the gradual penetration of moisture into the temperature probe under extreme thermal stress. The case study confirmed the full functionality of the new optical sensor concept. The benefit of the proposed concept is full compatibility with existing conceptual solutions while maintaining the advantages of optical-based sensors. The results indicated that a combination of the BBR and luminescence methods with a ruby crystal in the proposed solution produced an average absolute error of 2.32 $^\circ \text{C}$ in the temperature range $-40\,\,^\circ \text{C}$ to 820 $^\circ \text{C}$ over a measurement cycle time of 0.25 s.

This article describes implementation of comfortable voice-control of building service-systems in a Smart Home Care in a real environment with additive noise. It describes the current condition of research on the voice-operated communication in the Smart Home and the design of a comfortable remote control of building service-systems by the xComfort wireless systems in an intelligent building. An LMS adaptive filter is used for elimination of undesired disturbances in the real environment of an intelligent house in voice communication with a wireless system for removal of additional disturbance from the voice signal.

As the need to monitor agriculture parameters intensifies, the development of new sensor nodes for data collection is crucial. These sensor types naturally require power for operation, but conventional battery-based power solutions have certain limitations. This study investigates the potential of harnessing the natural temperature gradient between soil and air to power wireless sensor nodes deployed in environments such as agricultural areas or remote off-grid locations where the use of batteries as a power source is impractical. We evaluated existing devices that exploit similar energy sources and applied the results to develop a state-of-the-art device for extensive testing over a 12-month period. Our main objective was to precisely measure the temperature on a thermoelectric generator (TEG) (a Peltier cell, in particular) and assess the device’s energy yield. The device harvested 7852.2 J of electrical energy during the testing period. The experiment highlights the viability of using environmental temperature differences to power wireless sensor nodes in off-grid and battery-constrained applications. The results indicate significant potential for the device as a sustainable energy solution in agricultural monitoring scenarios.