Information localization and verification of the firing states of an artillery gun
Keywords:
Artillery shot diagnostics, acoustic field of a shot, ballistic and muzzle waves, propellant charge energetics, artillery gun efficiency, projectile trajectory verificationSynopsis
This chapter investigates the problem of informational localization and verification of the states that characterize the lifecycle of an individual artillery shot. The study considers the sequential chain of physical processes occurring in the system propellant charge – chamber – barrel – projectile – flight trajectory – impact with the surface. These processes form the basis for assessing the technical condition and operational efficiency of artillery systems.
A conceptual framework is developed for identifying measurable parameters associated with different stages of the shot process. The approach relies on the analysis of acoustic, thermodynamic, and optoelectronic phenomena accompanying the firing event. Particular attention is given to the diagnostic potential of the acoustic field generated by ballistic and muzzle waves.
A method for verifying the heat of explosion of the propellant charge is proposed. The method is based on determining the gross chemical formula of the propellant gases and performing a thermodynamic evaluation of the energy characteristics of the charge. This approach enables verification of the declared energetic parameters of propellant compositions.
An acoustic method for estimating the initial velocity of the projectile is presented. The method utilizes temporal characteristics of ballistic and muzzle waves recorded at remote measurement points and allows indirect assessment of the wear state of the barrel and chamber.
The chapter also introduces a method for evaluating the energetic efficiency of an artillery gun based on video‑metric observation of projectile exit and the expansion of propellant gases. In addition, a technique for verifying the coordinates of projectile impact is proposed using acoustic measurements of the shot-generated wave field along the projectile trajectory.
The presented models and methods provide a basis for partial verification of different stages of the artillery shot process and may serve as elements of integrated automated systems for monitoring the technical condition and operational parameters of artillery weapons.
References
Boltenkov, V., Brunetkin, O., Dobrynin, Y., Maksymova, O., Kuzmenko, V., Gultsov, P. et al. (2021). Devising a method for improving the efficiency of artillery shooting based on the Markov model. Eastern-European Journal of Enterprise Technologies, 6 (3 (114)), 6–17. https://doi.org/10.15587/1729-4061.2021.245854
Dobrynin, Y., Volkov, V., Maksymov, M., Boltenkov, V. (2020). Development of physical models for the formation of acoustic waves at artillery shots and study of the possibility of separate registration of waves of various types. Eastern-European Journal of Enterprise Technologies, 4 (5 (106)), 6–15. https://doi.org/10.15587/1729-4061.2020.209847
Dobrynin, Y., Brunetkin, O., Maksymov, M., Maksymov, О. (2020). Constructing a method for solving the riccati equations to describe objects parameters in an analytical form. Eastern-European Journal of Enterprise Technologies, 3 (4 (105)), 20–26. https://doi.org/10.15587/1729-4061.2020.205107
Brunetkin, O., Beglov, K., Brunetkin, V., Maksymov, О., Maksymova, O., Havaliukh, O. et al. (2020). Construction of a method for representing an approximation model of an object as a set of linear differential models. Eastern-European Journal of Enterprise Technologies, 6 (2 (108)), 66–73. https://doi.org/10.15587/1729-4061.2020.220326
Brunetkin, O., Maksymov, M., Brunetkin, V., Maksymov, О., Dobrynin, Y., Kuzmenko, V. et al. (2021). Development of the model and the method for determining the influence of the temperature of gunpowder gases in the gun barrel for explaining visualize of free carbon at shot. Eastern-European Journal of Enterprise Technologies, 4 (1 (112)), 41–53. https://doi.org/10.15587/1729-4061.2021.239150
Brunetkin, O., Maksymov, M., Dobrynin, Y., Demydenko, V., Sidelnykov, O. (2024). Development of a process model for determining the composition and energy characteristics of a pyrotechnic mixture using the library method. EUREKA: Physics and Engineering, 5, 99–112. https://doi.org/10.21303/2461-4262.2024.003453
Brunetkin, O., Dobrynin, Y., Maksymenko, A., Maksymova, O., Alyokhina, S. (2020). Inverse problem of the composition determination of combustion products for gaseous hydrocarbon fuel. Computational Thermal Sciences: An International Journal, 12 (6), 477–489. https://doi.org/10.1615/computthermalscien.2020034878
Maksymov, M. V., Brunetkin, O. I., Beglov, K. V., Alyokhina, S. V., Butenko, O. V. (2022). Automatic Control for the Slow Pyrolysis of Organic Materials with Variable Composition. Advanced Control Systems. River Publishers, 397–434. https://doi.org/10.1201/9781003337010-16
Brunetkin, A., Beglov, K., Maksimov, M. Ulitskaja, E. (2021). Model and method of controlled pyrolysis of organic sub-stances of variable composition. International Scientific Technical Journal “Problems of Control and Informatics”, 66 (1), 134–146. https://doi.org/10.34229/1028-0979-2021-1-12
Brunetkin, O., Sidelnykov, O., Maksymov, M., Dobrynin, Y. (2025). Improving the model for determining the composition of gunpowder gases during thermal destruction of gunpowder in a limited volume space. Eastern-European Journal of Enterprise Technologies, 3 (6 (135)), 35–45. https://doi.org/10.15587/1729-4061.2025.330654
Katsev, I. (2018). Evaluation method of the artillery's effectiveness against unitary target. International Scientific Journal "Security & Future", 2 (4), 196–198. Available at: https://stumejournals.com/journals/confsec/2018/4/196.full.pdf
Field Manual 3-09 Field Artillery Operations and Fire Support (2014). Washington: Department of the Army, 4–12. Available at: https://www.scribd.com/document/248059115/FM-3-09-Field-Artillery-Operations-and-Fire-Support
ADLER II Artillery Computer Network Delivered to Troops. Army Technology. Available at: https://www.army-technology.com/contractors/data/kulr-technology-partners-us-army/pressreleases/press15/
Field Manual 3-09.22 Tactics, Techniques, and Procedures for Corps Artillery, Division Artillery, and Field Artillery Brigade Operations (2001). Washington: Department of the Army. Available at: https://www.globalsecurity.org/military/library/policy/army/fm/3-09-22/index.html
Dobrynin, Y., Maksymov, M., Boltenkov, V. (2020). Development of a method for determining the wear of artillery barrels by acoustic fields of shots. Eastern-European Journal of Enterprise Technologies, 3 (5 (105)), 6–18. https://doi.org/10.15587/1729-4061.2020.206114
Dobrynin, Ye., Davydov, V. (2020). Simulation model of the information technology for the technical diagnosis of the impulse heat machine. Odes’kyi Politechnichnyi Universytet Pratsi, 2 (61), 95–103. https://doi.org/10.15276/opu.2.61.2020.11
Dobrynin, Y. V., Boltenkov, V. O., Maksymov, M. V. (2020). Information technology for automated assessment of the artillery barrels wear based on SVM classifier. Applied Aspects of Information Technology, 3 (3), 117–132. https://doi.org/10.15276/aait.03.2020.1
Tkachyk, P. P., Budaretskiy, Y. I., Shchavinskiy, Y. V., Prokopenko, V. V. (2015). Influence of automation control units and artillery fire on the effectiveness of its application. Military Technical Collection, 12, 75–82. https://doi.org/10.33577/2312-4458.12.2015.75-82
Maksymov, M. V., Brunetkin, O. I., Lysiuk, O. V., Tarakhtii, O. S. (2019). Pat. No. 120216 UA. Ustanovka dlia vyznachennia skladu horiuchoho hazu pry yoho spaliuvanni. No. a201712785; declareted: 22.12.2017; published: 25.10.2019, Bul. No. 20.
Brunetkin, O., Dobrynin, Y., Maksymenko, A., Maksymova, O., Alyokhina, S. (2020). Model and method of conditional formula determination of oxygen-containing hydrocarbon fuel in combustion. Energetika, 66 (1). https://doi.org/10.6001/energetika.v66i1.4298
Dobrynin, Y. V., Boltenkov, V. O., Kuzmenko, V. V., Maksymov, O. M. (2022). Development of a universal binary classifier of the state of artillery barrels by the physical fields of shots. Applied Aspects of Information Technology, 5 (4), 289–302. https://doi.org/10.15276/aait.05.2022.19
Brunetkin, O., Kuzmenko, V., Soloviova, O. (2022). Mathematical model of energy transformation processes in barrel system for determining shooting performance. Energy Engineering and Control Systems, 8 (1), 28–39. https://doi.org/10.23939/jeecs2022.01.028
Maksymov, M. V., Boltenkov, V. O., Gultsov, P. S., Maksymov, O. M. (2023). Verification of artillery fire under the influence of random disturbances for the computer game ARMA 3. Applied Aspects of Information Technology, 6 (4), 362–375. https://doi.org/10.15276/aait.06.2023.24
Maksymova, O. B., Boltenkov, V. O., Maksymov, M. V., Gultsov, P. S., Maksymov, O. M. (2023). Development and optimization of simulation models and methods for controlling virtual artillery units in game scenarios. Herald of Advanced Information Technology, 6 (4), 320–337. https://doi.org/10.15276/hait.06.2023.21
Maksymova, O., Boltyonkov, V., Gultsov, P., Maksymov, O. (2023). Improvement of the model and method of artillery installation target damage control with minimal combat capability loss. Odes’kyi Politechnichnyi Universytet Pratsi, 2 (68), 98–115. https://doi.org/10.15276/opu.2.68.2023.11
Maksymov, M. V., Hultsov, P. S., Boltyonkov, V. O., Maksymov, O. M. (2024). Method for verification of artillery firing under the influence of random disturbances. Maritime Security and Defense, 1, 36–49. https://doi.org/10.32782/msd/2024.1/05
Tarakhtiy, O. S., Gultsov, P. S., Maksymov, O. M. (2024). Udoskonalennia metodu i modeli keruvannia boiovoiu zdatnistiu artyleriiskoi harmaty. Proceedings of the 5th International Scientific and Practical Conference. Tokyo: CPN Publishing Group, 256–261. Available at: https://sci-conf.com.ua/v-mizhnarodna-naukovo-praktichna-konferentsiya-topical-aspects-of-modern-scientific-research-25-27-01-2024-tokio-yaponiya-arhiv
Tarakhtiy, O. S., Hultsov, P. S., Maksymov, O. M. (2024). Udoskonalennia metodu i modeli keruvannia boiovoiu zdatnisttiu artyleriiskoi harmaty. European Congress of Scientific Achievements. Proceedings of the 1st International Scientific and Practical Conference. Barcelona: Barca Academy Publishing, 120–125. Available at: https://sci-conf.com.ua/wp-content/uploads/2024/01/EUROPEAN-CONGRESS-OF-SCIENTIFIC-ACHIEVEMENTS-29-31.01.24.pdf
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Text Identifier of this Chapter
Chapter 2
Published
June 18, 2026
Copyright (c) 2026 Maksym Maksymov, Pavlo Gultsov, Volodymyr Demydenko, Valentin Davydov
How to Cite
Maksymov, M., Gultsov, P., Demydenko, V., & Davydov, V. (2026). Information localization and verification of the firing states of an artillery gun. In M. Maksymov, P. Gultsov, O. Toshev, O. Sidelnykov, R. Riaboshapka, O. Brunetkin, V. Davydov, V. Demydenko, M. Maksymov, O. Maksymova, Y. Dobrynin, O. Maksymov, & V. Boltenkov, Simulation modeling of artillery systems for improving game simulators. From theory to practice (pp. 31-58). Scientific Route OÜ®. https://doi.org/10.21303/978-9908-8450-1-2.ch2
