UDC 614.849
The article addresses the pressing issue of algorithmizing the process of forming a fire safety assurance system (FSAS) during the design of capital construction projects. Under increasingly stringent safety requirements and limited budgets, traditional approaches based on subjective assessments and manual verification of regulatory compliance are becoming insufficiently effective. The authors propose an alternative method grounded in mathematical formalization of the interdependencies between technical-economic and fire-technical parameters. Developed models include functional dependencies between project input data (functional hazard class, fire resistance rating, budget, etc.) and output FSAS decisions, as well as a set-theoretic representation of interactions among project documentation sections. A target cost-optimization function is proposed, incorporating system effectiveness and potential damage. Special emphasis is placed on the role of the fire safety engineer at the pre-design stage, early risk identification, and integration of formalized algorithms into BIM environments. It is demonstrated that mathematical formalization enhances decision objectivity, reduces design time, and lowers the risk of non-compliance with regulations. The proposed approach opens prospects for automation, scalability, and implementation of intelligent decision-support systems in the construction industry
sistema obespecheniya pozharnoy bezopasnosti, pozharnaya bezopasnost', algoritmizaciya, matematicheskaya formalizaciya, tehniko-ekonomicheskie pokazateli, optimizaciya, proektirovanie, ob'ekt kapital'nogo stroitel'stva
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