Knowledge base design for the intelligent system for control and preventions of risk situations in the design stage of complex technical systems

Design of complex technical systems (CTS) is a difficult iterative process. It involves large capital investments, considerable expenses of resources (financial, labor, time), development of a large number of various documentations and also a set of the emerging risk situations. The intelligent control system and preventions of risk situations is necessary for reliable creation of CTS. Such a system would allow to process and analyse quickly large volumes of diverse information, to reveal risk situations at a design stage. Such a system would also be capable of resolving a common question "what would happen with the project of CTS in case of some changes made at the design stage...?" This article is dedicated to creation of the knowledge base of the intelligent control and prevention of risk situations system in the conditions of diverse information environment for design of CTS for a critical infrastructure. The analysis of the main types of models of knowledge representation commonly applied for creation of knowledge bases is carried out. The offered knowledge base is built on the modular principle and uses the generalized scheme of methodology of cognitive and fuzzy cognitive modeling. Novelty is that knowledge in the offered knowledge base is presented in the form of accurate or fuzzy cognitive models and also scenarios of development of the risk situations connected with design of complex technical systems.