Abstract

The analysis of the urgency of developing a decision and support information-modeling system for safety in the chemical industry is carried out. The article also covers the main elements of this information-modeling system. Key normative documents backing up the knowledge base of such an information-modeling system are listed below. The algorithm of the safety decision supporting information-modeling system is proposed. A database model of the safety decision supporting information-modeling system is elaborated below. A production rule system is set forth to manage issuing recommendations on the robust decision support information-modeling system in the chemical industry based on a methodological document. An implementation plan is laid out for the robust decision support information-modeling system in chemical industry. It is a ready-made software package based on two-level (client–server) architecture of information systems. This article also contains recommendations based on a test case of a tank equipment total destruction. Results of the computational experiments’ simulation in the TOXI+Risk software corresponding to the test selected values are available.

Highlights

  • A production rule system is set forth to manage issuing recommendations on the robust decision support information-modeling system in the chemical industry based on a methodological document

  • 7. Проведено моделирование сценариев полного разрушения оборудования с различными исходными параметрами с помощью программного комплекса ТОКСИ+Risk для заполнения серверной части информационно-моделирующей системы (ИМС)

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Summary

Introduction

Разработана система продукционных правил для управления выдачи рекомендаций ИМС на основе методического документа. Приведены результаты моделирования вычислительных экспериментов в программном комплексе ТОКСИ+Risk для заполнения тестовой выборки. The development of a decision support information-modeling system for safety in the chemical industry The analysis of the urgency of developing a decision and support information-modeling system for safety in the chemical industry is carried out.

Results
Conclusion

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