DIAGNOSIS, VERIFICATION AND VALIDITY OF DATA FOR COMPUTER-AIDED SYSTEM

Abstract

Modern approaches to feasibility, the safe operation, industrial safety are based on the concept of automation and information guaranteed level of information security. Increasing the level of information security - is the need to implement automated diagnostic procedures of state technical means of verification data circulating in automated systems. Solving problems diagnostics devices devoted to a sufficiently large number of works which examined approaches to the identification as sudden and gradual (functional) failure. Much less work is devoted to solving the problems of verification and validity (VaV) of data in large distributed production systems, for example, on objects of JSC Transneft, PJSC Gazprom, petroleum-refining and petrochemical complexes where a number of signals can reach tens and hundreds of thousands. Outstanding tasks are mixing different kinds of balances (energy, process liquids) and sourcing imbalance. When solving the latter problem, due to the inability to identify the sources imbalance, there is a need to substantiate the number and place of installation of measuring equipment to ensure unambiguous identification of the causes of imbalance. This article discusses ways to improve the level of information safety by automating complex diagnostic tools, verification data. It is necessary for the implementation of the automated technological complexes, which include those subsystems are advanced control and safety. For complex (in terms of criteria such as distribution areas, the number of production units, parameters and indicators) the technique of development models based on cognitive modeling ideas and approach to building diagnostics, and verification (validity).