Recently, great efforts have been made to passing from traditional to online learning due to the COVID-19 pandemic. Regarding online learning, many concepts have been developed to use various learning methods in electrical engineering laboratories because this involves equipment that students have not access. To solve this problem, virtual instruments have been made to control and monitoring equipment from the laboratories. In this paper, we presented a solution for the development of a remote laboratory for measuring a DC motor speed. The greatest advantages of this method are the remote interaction of the students with the workbenches in classes, the shortening working time, the measured values accuracy, the automatic graph drawing, and reducing measurement errors.

In this work a data acquisition board (DAQB) with data transfer by serial port and the associated virtual library included into LabVIEW software are presented. The DAQB developed around a National Semiconductor LM 12458 devices, have the capability to perform tasks that diminish the host processor work and is capable to communicate with the host computer by using a set of drivers associated. Highly integrated device circuit that has into it the most components of the board, facility in data handling, good metrological performance and a very low cost are the benefits of the proposed system. Using the LabView environment, we have realized a virtual instrument able to get from the prototype data acquisition board for environmental monitoring parameters the information about air pollution factors like CO, H2S, SO2, NO, NO2 etc. In order to get effective information about those factors and the monitoring points, this intelligent measurement system, compound from portable computer, and Gas detector. This system can be used to map the information about the air pollution factors dispersion in order to answer to the needs of residential and industrial areas expansion.

The basic idea of the present work is to create an IoT system based on smart sensors used to monitor the atmospheric parameters inside a building, to find out and reduce their impact on human health. Thus, it is proposed to create a system capable of processing data such as indoor and outdoor temperature, atmospheric pressure, air humidity, air quality, the amount of $\mathrm{CO2}$ (carbon dioxide), the number of particles in the air and provide information about the degree of comfort or in what way and in what way they can harm human health. The article proposes the creation of a sensor system based on microcontrollers that will record all these data regarding the ambient environment, to ensure a degree of comfort and air quality necessary to prevent health problems caused by values above their admissible limits.