«Automation and Informatization of the fuel and energy complex»

Methods of data verification and validation for solving problems of automated process control systems in the oil and gas industry

UDC: 004.511.3:002.261
DOI: -

Authors:

¹ Nefteavtomatika, Ufa, Russia
² Ufa State Technical University, Ufa, Russia

Keywords: information, automated process control systems (APCS), methodological approaches, verification, validation (correction) of unreliable data, measuring channel, models, information processing methods, validation of measurements and information processing algorithms

Annotation:

Diagnostics of the data reliability circulating in the process control system is a pressing problem for all areas of production. Verification and correction (validation) of data is an integral part of modern automated process control systems, which is confirmed by a large number of publications on this topic [2, 3, 6–9, 11, 12]. In particular, for fuel and energy complex facilities, these problems are considered in [7, 8, 15 and 16]. Detection of a complete (or hardware) failure of sensors is a simple task if the sensor output signal has a scale of 4...20 mA. Preventing the consequences of such failures comes down to "freezing" the corresponding variables at the last reliable values with subsequent use of backup or predictive sources of information [4]. Detection of functional failures and inadequacy of models, which is the subject of verification, is a much more complex task. The authors of the article consider methodological approaches to the construction of verification systems, types of models, methods for identifying unreliable information and its verification.

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