The intelligent information technology for construction waste analysis and management

Abstract

In modern conditions of increasing the amount of waste generated during construction, demolition, repair or reconstruction of facilities, the problem of analysis and management of this waste is becoming increasingly relevant in solving environmental and economic issues. This problem in Ukraine is complicated by hostilities on its territory, which resulted in a significant number of destroyed or damaged buildings. The scientific article proposes a solution to the problem of analysis and management of construction waste by creating intelligent information technology. The authors propose a conceptual scheme of intelligent information technology, which will provide geospatial information about waste reception centres based on data entered by the end user about the source and type of construction waste. The subject literature on the current state of technologies and methods for construction waste management was analysed, on the basis of which the requirements for intelligent information technology were formed. When describing the components of the conceptual scheme, the nature of the input and output data was analysed, and machine algorithms and technologies that can be used to solve the intelligent task of analysing and managing construction waste were considered. As an option for solving the problem of analysing and managing construction waste, the authors developed the intelligent information system of 4 modules, which implemented the following subtasks: classification of waste collection centres, collection of data on the source of waste and its types, waste classification, determination of the nearest waste collection centres and output of results in the form of an interactive map. The server was written in the Java programming language, using the Spring Framework, as well as Spring Boot and Spring Data JPA. PostgreSQL was chosen as the database management system. The frontend was written using Thymeleaf, as well as HTML, CSS and JavaScript. The fourth module includes a query to OpenStreetMap Tiles to display the map on the user's web page. Further development of the research may involve the use of artificial intelligence technologies or neural networks to analyse images of waste generation facilities, based on which a text file with classes of construction waste can be obtained to generate suggestions to the user on waste management.