Sustainability Measures: An Experimental Analysis of AI and Big Data Insights in Industry 5.0
| Autor: | Ivanovich Vatin Nikolai, Singh Negi Gaurav, Sahithi Yellanki V., Mohan Chandra, Singla Neeru |
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| Jazyk: | English<br />French |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | BIO Web of Conferences, Vol 86, p 01072 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2117-4458 20248601 |
| DOI: | 10.1051/bioconf/20248601072 |
| Popis: | In the context of Industry 5.0, this empirical research investigates the concrete effects of artificial intelligence (AI) and big data insights on sustainability metrics. Real-world data analysis shows that during a two-year period, there was a 10% rise in the energy used by solar panels, a 6.7% increase in the energy consumed by wind turbines, and a 6.7% drop in the energy consumed by the grid. Paper trash output was reduced by 14% and plastic waste by 24% as a consequence of waste reduction initiatives. Product quality was maintained by AI-driven quality control, with quality ratings ranging from 89 to 94. Moreover, there was a 6% decrease in carbon emissions from industry, 3.1% from transportation, and 4.6% from energy production. These results highlight how AI and Big Data may revolutionize Industry 5.0 by promoting environmental responsibility, waste reduction, energy efficiency, sustainability, and high-quality products. |
| Databáze: | Directory of Open Access Journals |
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