This case study deals with the design of a hybrid system for the prevention of thermal events in mining waste disposal sites and landfills. The overall design, real implementation, optimization and experimental verification of the functionality of the entire system are described in detail. Both experimental platforms are built on the Internet of Things (LoRaWAN and Sigfox) basis and meet the conditions for autonomous long-term on-site monitoring. The data collected is periodically transmitted wirelessly to a database repository, which processes relevant parameters for the operators of dispatching workplaces. The study is focused on a combination of surface and depth measurement methods. The experimental results clearly confirm the functionality of the proposed solutions, which will enable timely interventions and elimination of underground and surface combustions. Thanks to centralized data collection, a unique database has also been created, which can be used for the implementation of prediction algorithms (based, for example, on machine learning or artificial intelligence).

The analysis of biomedical signals is a very challenging task. This review paper is focused on the presentation of various methods where biomedical data, in particular vital signs, could be monitored using sensors mounted to beds. The presented methods to monitor vital signs include those combined with optical fibers, camera systems, pressure sensors, or other sensors, which may provide more efficient patient bed monitoring results. This work also covers the aspects of interference occurrence in the above-mentioned signals and sleep quality monitoring, which play a very important role in the analysis of biomedical signals and the choice of appropriate signal-processing methods. The provided information will help various researchers to understand the importance of vital sign monitoring and will be a thorough and up-to-date summary of these methods. It will also be a foundation for further enhancement of these methods.

Measuring System for Longtime Monitoring and Visualization of Temperature and Toxic Gases Concentration

The paper deals with the description of complex monitoring system for remote monitoring of thermal processes, concentration of toxic gases and dustiness of the atmosphere. Each of these quantities is measured and consequently processed by use of wireless modules communicating with supervisor system. It presents design of communication among particular sensors and further data processing and transfer to the dispatching center.