Концепция использования искусственного интеллекта в автоматизированных системах управления твердыми бытовыми отходами

Abstract

In the Republic of Kazakhstan, there is currently no proper control and accounting of solid waste by the state and culture, a high standard of living for the majority of the population. To solve the problem of automated MSW management using AI, it is proposed to develop a knowledge base, the level of education, distribution by collection zones in the city, socio-economic stratification, population and the amount of solid waste generated over a certain period of time is taken as a set of input data. The initial filling of the knowledge base is provided according to the latest population census of the Republic of Kazakhstan https://stat. gov.kz/ru/national/2021/. For predictive estimates of the volume of solid waste, the method of the forest conveyor with Bayesian optimization (RFBO) was used, the algorithm and architecture of the software solution are quite informative. The reliability of predictive decisions on the volume of solid waste presented by the program is at least 90%, taking into account the correctness of the input data set, the program code is written in Python. The solution proposed in the article to the problem related to the automation of solid waste management is based on international experience, taking into account the identified shortcomings, as well as the prospects and trends of understanding by residents of the country and public utilities of the country, a possible garbage collapse. The possible disadvantages of the program are the availability of constant access to the Internet, the need for a large amount of RAM, and computer performance. The program can be used as a ready-made solution for predictive estimates of solid waste for various regions