The Method of Determining the Level of Air Pollution in the City of Urgench Based on Smart Technologies
Abstract
The article presents a method of determining the level of air pollution in the city of Urgench based on smart technologies. The article is devoted to the creation of an air pollution measuring system and its software in the city of Urgench by placing low-energy and compact sensors throughout the city. Data from the sensors was compared to data from a small number of existing sensor devices currently in use in cities. Based on the collected data, the problem of short-term forecasting was predicted using the error redistribution method based on the Neuron network model. It is envisaged that the forecasted data and the measurement results at the same time will be displayed to the population on the website. We aim to prevent these situations, i.e., in order to identify dangerous situations for our health in the near future, we will process the data received from the sensors with the help of artificial intelligence and warn people on the platform on a daily basis. We believe that this platform will make people's daily lives much easier. For example, residents who plan to relax in nature can find out in advance what the weather will be like in the area they want to visit.