Mathematical and software support for the automated knowledge control subsystem of process plant operators on a training complex

Abstract

This study focuses on the development of automated knowledge control systems for process plant operators based on computer training complexes. Functional requirements for the complex subsystem for automated knowledge control of production process operators have been developed. The subsystem allows instructors not only to manually create sets of test tasks but also to configure knowledge about the subject area of operators' professional activities for automatic generation of a required number of test tasks of a specific type and complexity level. A method for modeling the subject area has been developed to conduct automated testing of knowledge on safety rules when working with equipment and the sequence of actions during the operation of production equipment. An algorithm has been developed to evaluate the result of performing a test task on establishing the sequence of operator actions when working on a process plant. This algorithm allows for a detailed comparison of the reference result of the task, automatically generated based on the subject area settings, with the trainee's result. A prototype of the software for the computer complex automated knowledge control subsystem has been developed as a web application based on the described mathematical models and algorithms.