In the article, we point out the need to measure the mass concentration of particulate matter (PM) in central Europe in a place of residence (a city and a small town), as PM has a negative impact on human health, especially that of children and the elderly. Since different amounts of PM (mainly peaks) were measured at two locations at a distance of 35 m from each other, a control measurement was also performed to verify the conformity of the measurements of both sensors, which was confirmed with measured courses of quantities. Cases of strong correlation (very close relationship) between PM10 and meteorological factors (temperature, humidity, barometric pressure) were found, but cases of no correlation were found as well, probably due to the effect of wind, which has not been measured yet. The article also points to the fact that, especially during the autumn/winter/spring heating season, the air quality in a small village may be worse than in a large city. This was also confirmed by the detected AQI sub-indices from PM2.5 and PM10. Due to the current rise in prices of gas and electricity, the use of wood combustion as a heating source is nowadays becoming increasingly more attractive, which may contribute to the worsening of the air quality in the future.

The paper deals with the measurement of individual size components of particulate matter focusing on typical particle size, mass, and number concentrations primarily in the city of Košice (Slovak republic) and the surrounding countryside. The deployment of the sensor IPS-7100 in the 2nd half of December 2022 allowed us to measure the particles smaller than the detection limit of other low-cost optical sensors—namely SPS30 and SEN54. The results show that although the mass concentration of ultrafine particles is negligible in comparison to fine and coarse particles, in terms of number concentration ultrafine particles make up the dominant component of particulate matter, which stands as a warning from the health point of view.

The paper presents analyses of the implementation of IoT in the patent technology of the remote measuring laboratory (VMLab). The technology allows to create a new electrical connection between different devices, where the connection diagram was not defined before. This may be done remotely around the world. To begin with, an application of this technology as a remote measuring laboratory is presented and described. Analyses of the possible application of IoT technology in the Remote Measurement Laboratory (VMLAB) with a final design are also presented. The research focuses on an efficient way to retrieve measured values synchronized over the Internet from multiple measuring devices and controllable devices, without an Ethernet or Wi-Fi interface from the manufacturer. The analyses may also be useful when implementing an additional IoT approach to existing systems.

Analysis of 6(4) - Valued Memory

This paper serves as an overview of the research on particulate matter. This includes the sources of particulate matter, the composition of particles and, most importantly, negative impact on human health. The paper also deals with the methods, and instruments of measurement of particulate matter. Future development of measuring particulate matter is proposed, such as implementing Internet of Things and wireless sensor network technologies as well as performing the analysis of the measured data to find how other measured quantities affect the concentration of particulate matter.

This paper explores the use of InfluxDB for data analysis, storage, and visualization in measurement science. It focuses on the role of WiFi technology in real-time monitoring and data collection. Although the authors highlight a possible application of InfluxDB to particulate matter measurements, the database can be used for any need also in the field of electrical drives, machines or power electronics to store, analyze, and display measured data. The paper discusses the capabilities of InfluxDB capabilities in efficiently managing and analyzing time-based data and provides a guide for educators and students to effectively work with InfluxDB for data management.