TITLE: Data architecture proposal of big data platform for smart waste management solution
AUTHORS: Sanid Muhić, Nermin Goran
ABSTRACT: The aim of the work is to present the data architecture proposal for use of big data technologies to create a business platform that will enable a autonomy of business processes and near-real time reaction to changes in the internal and external environment of the smart waste management system. A brief overview of the relevant literature shows that the work was mainly done on individual components and use cases dealing with mainly individual business process. This proposal emphasizes the need for a systemic and broader view of the overall processes and the need for the existence of a platform that will enable the use of different technological solutions for individual components of the business subsystem. Proposed model describes the components specific to the waste management system. Special details are devoted to the elements crucial to establishing smart management using AI and ML processes. The paper will highlight the potential advantages and opportunities that the proposed architecture should enable and improve the existing vision and solutions of smart waste management. The components are described in a graphic representation of the entire system architecture, which in future iterations should be further refined in more detail for the specific needs of the smart waste management system for real business needs. The purpose of the proposed architecture is to optimize the process of waste transportation as one of the key processes of urban mobility in cities using Big Data, AI and ML technologies.
KEYWORDS: PBig Data architecture, Waste management, Kafka, Streams, Batch processing, IoT, AI, ML
PAGES: 126-130
DOI: 10.59478/ATCT.2023.17