Web-Based Technology of Intellectual Analysis of Environmental Data of an Industrial Enterprise

Andriy Perekrest,Dmytro Mamchur, Arsentiy Zavaleev, Kyrylo Vadurin, Vladyslav Malolitko,Volodymyr Bakharev

2023 IEEE 5th International Conference on Modern Electrical and Energy System (MEES)(2023)

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Abstract
Today, one of the main reasons for the increased mortality rate in the world is atmospheric air pollution, unfortunately, Ukraine is no exception. Industry and transport are traditionally the main air polluters in our country, having almost the same amount of harmful emissions. To monitor and regulate air quality, air pollution monitoring stations are located in almost all regions of the country. Given the air pollution problem, there is a need to create and implement a web application that will receive data from the stations and analyse it to avoid harmful effects. The practical problem is the lack of open archival environmental data and access to a specific air quality monitoring station. Therefore, this paper is devoted to displaying the analysis of environmental data obtained from the API resources on the website. The object of research is the process of obtaining and displaying environmental data. The subject of research is a web-based technology for intelligent analysis of environmental data. The purpose of the work is to inform the user about the state of air quality in a selected city of Ukraine and to demonstrate the analysis of data collected from ecosystem stations. The research methods were based on the data obtained from the SaveEcoBot API chatbot. The scientific novelty of the work is as follows: a method for quickly obtaining environmental data from monitoring stations has been developed; a method for processing data by intelligent analysis and displaying the results on a chart and map has been developed. In this paper, a web-based technology for analysing environmental data was created to enable users to monitor the state of air quality in Ukraine.
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Key words
web development,environmental data,monitoring stations,php,API,phpStorm
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