Smart city deserves Smart device maintenance: Machine learning is the key
| Autor: | Šelméci, R. Hájek, M. |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| DOI: | 10.5281/zenodo.8086148 |
| Popis: | Life in the city has changed on different levels in the past few years. Smart solutions are becoming a part of daily lives of citizens. This leads to an increase in the quality of life in the cities - ordinary cities are slowly transforming into the Smart Cities. On the other hand, in cities there are also devices which the ordinary citizen does not come directly to contact with, but these devices provide significant features like traffic management, oxygen distribution in the subway etc. Any unexpected failure can cause a large economic damage or jeopardize citizens’ lives. In order to prevent the failure, these key devices are subject to preventive maintenance which, on the other side, requires a huge amount of human and material resources. Predictive maintenance can be more effective. However, its application is not an easy task. The Smart City requires the deployment of a solution that can independently learn from previous fails and respond to unknown problems. As a solution, we propose an approach based on the utilization of machine learning techniques and recommendation systems. This article was supported thanks to the generous support under the Operational Program Integrated Infrastructure for the project: "Research Centre for Data Analysis and Protection - II. Stage", Project no. 313021W479, co-financed by the European Regional Development Fund. |
| Databáze: | OpenAIRE |
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