E.V. Buryi1, A.K. Dibizhev2, S.S. Korotkov3, A.L. Shlemenkov4
1,4 Bauman Moscow State Technical University (Moscow, Russia)
2,3 PJSC «United Aircraft Corporation» (Moscow, Russia)
1 buryi@bmstu.ru, 2 a.dibizhev@uacrussia.ru, 3 s.korotkov@uacrussia.ru, 4 anthony99@mail.ru
Ensuring the effective solution of assigned tasks in full by the crew of the aviation complex in conditions of information redundancy and complex multimodal interference effects is relevant and in demand, taking into account modern political realities.
Modern trends in the development of aircraft manufacturing, aimed at creating complex technical systems, such as existing and future aviation complexes, dictate the requirement to ensure situational awareness of the crew. This, in turn, is associated with an increase in the number of sensors in the aircraft, which could create a situation of «informational overflow», in which it is necessary to ensure the effective functioning of the pilot-operator and the completion of the assigned mission.
Artificial intelligence technologies, widely offered as an effective means of reducing the workload of a pilot-operator, do not yet have sufficient depth of scientific and technical development and readiness to ensure the autonomous functioning of the aviation complex. This causes certain distrust on the part of human towards decisions made by artificial intelligence. At the same time, there are flight modes in which the operator’s cognitive functions do not provide a forehanded response to changes in rapid processes, which can lead to unpredictable consequences. Besides that, it is necessary to take into account the forecasted increase in the volume of incoming data and the limited computing resources of the on-board computer. In these conditions, the requirement to take adequate measures to ensure the effective functioning of the pilot in the human-machine loop is relevant, for which it is expedient to intelligently distribute the tasks between human and artificial intelligence.
In the interests of making the correct decisions both by humans and by means of artificial intelligence, it is necessary to ensure the process of stable obtaining and formation of the volume and content of high-quality data required at a given time, received from the complex of on-board equipment of the aviation complex.
The structure of the on-board complex is based on a hierarchical principle with the organization of lower levels subordination (sensors, subsystems, systems, complexes) to a higher one (decision-making level). At each level, its own information block is formed, which arrives at the upper ones and is distributed among its components in accordance with the established rules and logic of the aviation complex functioning.
In this case, a situation is possible when an excessive amount of data will be generated at the input of the complex, among which there may be information that is optional for making the right decision at a given time. Therefore, it is necessary to perform a preliminary estimation of the quality of the received data streams.
The purpose of this paper is to discuss the formulated proposals for formalizing the process of estimating the value of information of data incoming into the aviation complex on-board equipment.
It is proposed to estimate the value of information of these data streams on the basis of hierarchical principle of constructing an on-board equipment complex, taking into account the rapidly developing technologies of artificial intelligence.
The proposed approach to the estimation of the value of information of data received by the aviation complex will allow a more thorough and flexible determination of the types and number of sensors used (or planned for use) in the on-board equipment complex at the design stage of the aircraft.
Buryi E.V., Dibizhev A.K., Korotkov S.S., Shlemenkov A.L. Estimating the value of information of the data, received by the aviation complex. Achievements of modern radioelectronics. 2023. V. 77. № 11. P. 62–71. DOI: https://doi.org/10.18127/j20700784-202311-04
[in Russian]
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