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

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.

crew cockpit, information management field, pilot’s workplace, ergonomic expertise, ergonomic requirements, ergonomics, integrated assessment

1. Fedosov E. A., Kos’yanchuk V. V., Sel’vesyuk N. I. Integrated Modular Avionics, Radioelektronnye tekhnologii, 2015, no. 1, pp. 66—71 (in Russian).

2. Chuyanov G. A., Kos’yanchuk V. V., Sel’vesyuk N. I. Prospects of the on-board equipment complex development on the basis of the integrated-bath modular avionics, Izvestiya YuFU, 2013, no. 3, pp. 55—62 (in Russian).

3. Ponomarenko V. A. Practical psychology, Moscow, Science, 1995, 287 p. (in Russian).

4. Artificial Intelligence. Book 1. Communication systems and expert systems: Handbook, ed. by E. V. Popova, Moscow, Radio i Svyaz’, 1990, 464 p. (in Russian).

5. Denisov A. A. Modern problems of the system analysis: Information bases, St. Petersburg, Publishing house of SPbGTU, 2005, 295 p. (in Russian).

6. Grif M. G., Tsoy E. B. Automation of designing processes of functioning of human-machine systems based on the method of sequential optimization, Novosibirsk, Publishing house of NGTU, 2005 (in Russian).

7. Kukushkin Yu. A., Kozlovskiy E. A., Grudzinskiy A. V., Ponomarenko A. V., Tsigin Yu. P. Assessment of the nervous and emotional tension of the operator in the process of professional training, Bezopasnost’ zhiznedeyatel’nosti, 2007, no. 2, pp. 5—9 (in Russian).

8. Kukushkin Yu. A., Kozlovskiy E. A., Ponomarenko A. V., Tsigin Yu. P., Stramnov S. B. Technology of the automated estimation of the pilot’s attention reserves in the process of preparation on the aircraft simulator, Mekhatronika, Avtomatizatsiya, Upravlenie, 2007, no. 2, pp. 14—19 (in Russian).

9. Zadeh L. Concept of linguistic variable and its application to the adoption of problem solutions, Moscow, Mir, 1976 (in Russian)

10. Rykov A. S., Orazbaev B. B. System analysis. Tasks and methods of decision making. Multi-criteria fuzzy choice, Moscow, Publishing house of MISiS, 1995 (in Russian)

11. Kryuchkovskiy V. V., Petrov E. G., Sokolova N. A., Khodakov V. E. Introduction to the normative theory of decisionmaking, Kherson, Grin’ D. S., 2013, 284 p. (in Russian)

12. Larichev O. I. Theory and methods of decision making, Moscow, 2002, 392 p. (in Russian)

13. Artificial Intelligence, Book 3. Software and hardware: Handbook, Edited by V. N. Zakharov, V. F. Khoroshevsky, Moscow, Radio i Svyaz’, 1990, 368 p. (in Russian).

14. Levin D. N. Integral assessment of the cockpit of the prospective aircraft, Polet, 2017, no. 11—12 (in Russian).

15. Levin D. N. Integral ergonomic evaluation of the pilot’s workplace of a promising aviation complex on modeling stands, Proceedings of the III International Conference " The Human Factor in Complex Technical Systems and Environments" (Ergo-2018), Russia, St. Petersburg, July 4—7, 2018 (in Russian).

16. F-16 A/B Mid-Life Update Production Tape M3 The Pilot,a Guide 2004 by Lockheed Martin Corporation.

17. Wicks M. C., Baldigo W. J. Expert System CFAR: Algorithm Development, Experimental Demonstration, and Transition Airborne Radar Systems. IEEEA&Systems Magazine / September 2017, pp. 40—47.

18. Zheltov S. Yu., Fedunov B. E. Operational Goal-Setting in Anthropocentric objects from the Viewpoint of the Conceptual Model called Etap: I.St ructures of Algorithms for the Support of Crew Decision-Making, J. Comput. Syst. Sci., 2015, vol. 54, no. 3, pp. 384—398.

19. Vargas R. V. Using the analytic hierarchy process (ahp) to select and prioritize projects in a portfolio, PMI Global Congress 2010—North America, Washington, Project Management Institute.

20. Levin D. N., Grif M. G. Formalization of Ergonomic Indicators During Research Data-Control Field of the Aircraft Cockpit, 2019 Modern Safety Technologies in Transportation (MOSATT), Kosice, Slovakia, 2019, pp. 94—97.