Intelligent Eco-Monitoring System for Selecting a Residential Development Site with Nanofiber-Based Window Filter Screens

Abstract

ABSTRACT: Introduction. The industrial activities result in the release of a significant number of pollutants into the atmosphere, which have a negative impact on human health and the environment. The development of sustainable principles for construction sites development requires the elaboration of algorithms, assessment methodologies, and monitoring of the environmental situation at the construction site. Analysis of research works in the field of environmental monitoring of air pollution by hazardous substances has shown that the speed and reliability of the obtained information are crucial in polluted atmospheric conditions. In this article, we examine the application of an intelligent environmental monitoring system with Salavat city Republic of Bashkortostan as the example. The article presents an example of continuous eco-monitoring using three automatic air pollution monitoring stations for controlling the atmospheric air in residential areas. Methods and Materials. An intelligent eco-monitoring system is proposed, which is capable of assessing the state of the air basin of an industrial city, identifying sources of increased air pollution, processing information using an artificial neural network in real-time, generating control actions on sources of increased air pollution, and providing recommendations to businesses for optimizing their operations to prevent exceeding the maximum allowable concentrations of harmful substances. Results. The analysis of air quality in Salavat has led to the conclusion that it is necessary to install window filter-screens with nanofiber-based filtering elements in residential buildings. Discussion. The results of the air basin monitoring can be used in an integrated intelligent environmental monitoring system for assessing environmental conditions and can be made available to interested parties. Considering the results in Salavat, the project can be replicated for use in eco-monitoring systems of towns and cities in the Russian Federation. Conclusion. As a result of the project, the program utilizing artificial intelligence has been developed, which will contribute to reducing the level of air pollution in the future.

Keywords

• nanotechnology
• air pollution
• nanofiber filter
• environmental monitoring
• automatic station
• air monitoring
• buildings and structures
• artificial neural network