Automation of Ergonomic Expertise of the Information Management and Cockpit Management of a Promising Aircraft

Abstract

The article deals with the automation of the ergonomic examination procedure (EE) of the Data-Control Field (DCF) of the cockpit of promising combat aircraft using artificial intelligence technologies. A balanced combination of aircraft control algorithms, its complex of on-board equipment and weapons, as well as artificial intelligence technologies provides information support for the aircraft crew. The relevance of the ergonomic assessment of DCF at all stages of the aircraft designing and operation is noted. The features of the EE of the DCF of cockpit, goals and objectives, as well as methods of examination are described. EE are monitoring and evaluating the completeness and correctness of the implementation of ergonomic requirements for the designed aircraft and substantiating possible ways to improve the ergonomic characteristics of the aircraft. EE includes systemic and design issues, among which the important issues are the choice of DCF structure. EE technology elements are considered. The tasks of the automated EE system are listed: the assessment of human-machine interaction, quality of information support, the registration and assessment of cockpit geometric characteristics (visibility and reach) and operator’s functional state, formalization of parameters and the formation of an integral assessment. The system combines information, hardware and software into a single complex. A distinctive feature of the DCF EE is the a priori uncertainty of the source data. Models of the algebra of fuzzy sets allow to formalize the decision-making process during the EE. The integral assessment by the Analytic Hierarchy Process (AHP) method is described. AHP as a method for evaluating multicriteria alternatives is well known. The applicability of the method is noted in cases where the issuance of absolute estimates of alternatives by given criteria is difficult.