Abstract

I ntroduction . At many protection facilities one of the most important problems is the lack or absence of highly qualified specialists with the appropriate professional education, knowledge and experience that can prevent in a timely manner, predict the fire hazard situation, suggest the necessary measures to reduce fire risk, and minimize the consequences from a fire. Studies were carried out in the framework of the identification of the causes of ignition sources, products and devices that caused a fire. To determine these regularities, an analysis of statistical data on fires that occurred between 2001 and 2015 was carried out at production facilities for storing oil and oil products. Methods . The expert’s goal was to fill the knowledge base of the developed computer expert system, which allows specialists to take timely measures to prevent fires and reduce fire danger. As moderators of expert appraisal, experts of State Fire Service Academy of Emercom ofRussia acted. Their task was to clarify the purpose, tasks of expert evaluation, questions and answers. As experts, employees of one of the typical oil and petroleum product storage facilities, corresponding to the following categories: workers of various specialties (carpenters, electricians, electric and gas welders, plumbers, repairmen) and engineers and technicians (chief mechanic, engineers of the production and technical department, the goods operator (refuellers)). Results and discussion . The data obtained as a result of the survey allows us to identify patterns, identify weaknesses in the fire safety system for which priority actions are required, and also to create a database of expert decision support systems. Logical links between questions and answers can be generalized and identified certain regularities that need to be identified as acquired knowledge. Conclusions . With full knowledge base saturation, this expert system will allow the user to correctly and timely identify a fire hazard situation on the protected object, receive the necessary information and analytical support to prevent them.

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