Principles оf Storing and Monitoring Configuration Information in the Task of On-Board Equipment Complex Redundancy Managing

The article proposes the principles of the main structural components formation for the implementation of the task of managing the on-board equipment complexs (OEC) redundant resources: configurations tables, readiness indices and functional efficiency indicators of the software and hardware equipment components, allowing to formalize the processes of their development and use in the task of managing the excess on-board equipment complex resources. The separation of redundant components into groups of resources is proposed: computing modules, operating system core components, onboard software components, peripheral switching system components, hardware peripheral components. The general organization of redundant resources monitoring is formulated, which allows using the schemes and capabilities of both traditional built-in controls (the lower level of monitoring) and more advanced algorithmic solutions based on the logical processing of control results (the middle and upper levels of moni- toring). The formation mechanisms, as well as the forms of configuration tables for hardware components and on-board applications, as well as the rules for filling them, focused on the use of configuration supervisors, are proposed. The principles of readiness indices and functional efficiency indicators forming have been developed and detailed, allowing to implement in the software environment the accounting of various factors that determine the capabilities and effectiveness of various computing tools and OEC configurations. A method for correcting the configurations functional efficiency indicator due to the mode generator, which adapts the complex reconfiguration to the conditions of its use, the tasks to be solved, and the operators commands, is proposed. An example of considering the variety of tasks and modes of the OEC of an aircraft: flight stages, emergency situations, services and support, life support modes, the operation of the flight and navigation complex, as well as the crew control commands, is given. The proposed solutions can be used in computer-aided design systems for equipment complexes, flight safety systems, control of general aircraft equipment, software-controlled radio communication equipment systems, multispectral onboard reco naissance systems, target designation and control of aviation weapons and special target loads of promising aviation complexes.

1. Aleshin B. S., Babkin V. I., Gohberg L. M. Foresight of Aviation Science and Technology Development until 2030 and Beyond: A Reference Guide, Moscow, Izd. FGUP CAGI, 2014 (in Russian).

2. Paramonov P. V., ZHarinov I. O. Nauchno-tekhnicheskij vestnik informacionnyh tekhnologij, mekhaniki i optiki, 2013, no. 2 (84), pp. 1—17 (in Russian).

3. Digital Avionics Handbook. 3-d ed. / Ed. by C. R. Spitzer, U. Ferrell, T. Ferrell, London, N. Y., CRC Press, Taylor & Francis Group, 2015.

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

5. DO-297. Integrated modular avionics (IMA) development guidance and certification considerations, Washington, RTCA Inc., 2005.

6. Hainaut D. Towards the Next Generation of Integrated Modular Avionics, Sixth European Aeronautics Days, Madrid, Spain. 30 March — 1 April, 2011, pp. 135.

7. Bukov V., Kutahov V., Bekkiev A. Avionics of Zero Maintenance Equipment, 27th Congress of the International Council of the Aeronautical Sciences (Nice, France, ICAS 2010), pp. 7—11.

8. Bronnikov A. M. Nauchnyj vestnik MGTU GA, 2017 (in Russian).

9. Redding L. An Introduction to Integrated Vehicle Health Management — A Perspective from Literature, Integrated Vehicle Health Management: Per-spectives on an Emerging Field, Ed. by I. K. Jennions. SAE Int., 2011, pp. 17—26.

10. Ezhilarasu C. M., Zakwan Skaf Z., Jennions I. K. The Application of Reasoning To Aerospace Integrated Vehicle Health

11. Management: Challenges and opportunities, Progress in Aerospace Sciences, 2019, no. 105, pp. 60—73.

12. GOST R ISO / IEC 19762-1-2011. Information Technology. Automatic identification and data collection technologies (AISD). Harmonized dictionary. Part 1. General terms in the field of AISD., IDT, 2008 (in Russian).

13. SHubinskij I. B. Nadezhnye otkazoustojchivye informacionnye sistemy. Metody sinteza, Moscow, ZHurnal Nadezhnost’, 2016, 39 p. (in Russian).

14. Ageev A. M., Bronnikov A. M., Bukov V. N., Gamayunov I. F. Izv. RAN. Teoriya i sistemy upravleniya. 2017, no. 3, pp. 72—82 (in Russian).

15. Bukov V. N., Bronnikov A. M., Ageev A. M., Gamayunov I. F. A i T, 2017, no. 9, pp. 67—83 (in Russian).

16. Ageev A. M. Izv. RAN. Teoriya i sistemy upravleniya, 2018, no. 4, pp. 175—192 (in Russian).

17. Bukov V. N., Bronnikov A. M., Ageev A. M., Gamayunov I. F. A i T, 2019, no. 4, pp. 105—125 (in Russian).

18. Ageev A. M., Bukov V. N., Gamayunov I. F., Shurman A. V. Mekhatronika, avtomatizaciya, upravlenie, 2019, vol. 20, no. 6, pp. 376—383 (in Russian).

19. Klyuev V. V., Parhomenko P. P., Abramchik V. E. Tekhnicheskie sredstva diagnostirovaniya: spravochnik, Moscow, Mashinostroenie, 1989 (in Russian).

20. Bukov V. N., Ozerov E. V., Shurman V. A. A i T, 2020, no. 1, pp. 93—116 (in Russian).

21. Bukov V. N., Bronnikov A. M., Sel’vesyuk N. I. Problemy bezopasnosti poletov, 2010, no. 2, pp. 57—71 (in Russian).

22. Dzhandzhgava G. I., Dyadishchev A. V., Garifov R. Sh. Idei i novacii. 2018, vol. 6, no. 3, pp. 64—68 (in Russian).