Improvement of the Data Collection System for Fire Risk Assessment at Industrial Enterprises in the Republic of Kazakhstan

2025

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DOI 10.52209/1609-1825_2025_4_50
Data confidence 70 medium
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Abstract

Despite significant progress in labor safety, improvements in process safety performance and the prevention of major accidents at hazardous industrial sites remain less apparent. Enhancing the efficiency of occupational and industrial safety management systems plays a crucial role in addressing this challenge, particularly by advancing risk assessment methods. However, a reliable evaluation of risks associated with hazardous industrial operations requires extensive statistical data. This article aims to critically assess current approaches to building databases in the fields of fire and industrial safety and to identify key criteria for their application in fire risk assessment methodologies using expert evaluation methods. It also addresses challenges related to the content and structure of such databases. The authors propose clusters of criteria parameters that can serve as the foundation for a methodological approach to fire safety risk assessment at industrial enterprises, leveraging expert evaluation techniques.