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Application of Artificial Intelligence in Industrial Safety Assessment to Reduce Hazards with Fuzzy Approach | ||
| پژوهش در ایمنی، سلامت و محیط زیست | ||
| Volume 2, Issue 7, December 2024, Pages 31-45 PDF (1.29 M) | ||
| Document Type: Original Article | ||
| Author | ||
| Hassan Hojati Sayah* | ||
| MSc in HSE, Tehran, Iran | ||
| Receive Date: 30 November 2024, Revise Date: 14 December 2024, Accept Date: 15 December 2024 | ||
| Abstract | ||
| The Industrial Revolution has brought about several changes by digitizing existing processes and methods for greater efficiency in operations, accordingly, digital transformation (artificial intelligence) in addition to the emergence of a new era of data-based decision-making and operational efficiency, can also increase safety and minimize risks. Intelligent is centralized and various researches have been conducted in this field to address safety issues and improve the efficiency of systems, however, the need for development and optimization in this field is palpable. This research examines ML and AI methods used in industry to address safety issues to identify good practices and experiences that can be transferred; Using AI to predict incidents, detect incidents, | ||
| Keywords | ||
| Industrial Safety Artificial Intelligence Systems Artificial Neural Networks Case; Based Reasoning | ||
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