The article examines methods for identifying semantic and formal management guidelines in monitoring the regulatory framework for ensuring fire safety in the Republic of Vietnam. The research includes in-depth semantic analysis, multi-level security parameters, the use of neural networks and innovative approaches to improve the effectiveness of the fire safety system at various levels. The work emphasizes the relevance of developing methods and tools for determining risk levels in the absence of clear numerical values of the accepted risk in legislation.

Keywords: in-depth semantic analysis, multi-level security parameters, neural networks, regulatory monitoring, fire safety, risk management, regulatory legislation, security innovations, fire inspectors, Republic of Vietnam