A proposed embedded system for indoor noise pollution monitoring via IoT

Currently, the impact on health has increased due to different environmental factors; among them is noise pollution that, due to considerable exposure, causes diseases such as hearing problems, respiratory, cardiovascular diseases, sleep disorders, and even headaches. This work proposes a monitoring system to measure noise, as well as manage and store the information obtained using the Internet of Things (IoT), to monitor the behavior of this variable and be able to make decisions when the sound presents an excessive level and that harms the health and well-being of the human being. To test the functioning of the implemented monitoring system, two experiments were carried out: the characterization of the sensor supported by a measuring instrument (sound level meter) as well as the evaluation of the sound level meter and system through IoT. As a result, the noise elimination of the input signal was obtained to obtain a smoothed signal at the output, subsequently transmit and store the data in a database and finally visualize them on a platform that uses the Internet of Things paradigm.