Architecture of an intelligent information system for digital municipal solid waste management

Abstract

The paper examines the conceptual and applied foundations of an intelligent information system for digital municipal solid waste management in the context of digital transformation and the smart city concept. The relevance of the study is determined by the growth of waste generation, the increasing complexity of collection logistics, and the need to reduce environmental impacts. The aim is to substantiate the system architecture, define the principles of its construction, and form an adaptive management loop. The study applies systems analysis of modern approaches to waste-management digitalization, structural and functional modelling, mathematical modelling, machine-learning methods, heuristic algorithms, and a multi-agent approach. A multi-level architecture is proposed that integrates sensor-based data acquisition, data storage and management, analytical processing, a multi-agent intelligent core, orchestration, integration with external information sources, user interaction, and the execution of management decisions. A mathematical model for waste-collection logistics optimization is developed, taking into account the dynamics of container filling, vehicle-capacity constraints, service time constraints, and road-infrastructure availability. An operating algorithm is proposed that combines data-quality verification, route generation and evaluation, adaptive optimization, execution, monitoring, and feedback. The scientific novelty lies in integrating these components into a coherent multi-level architecture with an adaptive decision-making cycle. The practical significance is the possibility of using the proposed architecture as a methodological basis for designing and implementing digital municipal waste-management systems for territorial communities.