An intelligent system for the diagnostics and monitoring of oil and gas equipment with a computerized device for identification measurements of vibration signals is described. The system operates...

The aim of the article is to develop a formal methodology for quantitative assessment of the quality of аcontrol in a closed system with feedback in the context of digital transformation. In the proposed study, attention is focused on assessing the quality of management in organizational and technical systems on the example of the aviation industry. The following hypotheses were adopted in the study: in the digital management of business processes of an economic entity, the role of intellectual support is acquired by methods of formal description of processes: control, decision-making and corrective action on the control object. In critical situations, the psychotype of the person making the decision acquires a decisive role. The study solves two scientific and practical problems: development of a formal method for quantitative assessment of the quality of management of a complex multi-criteria organizational and technical system under the conditions of statistical uncertainty of management agents, taking into account feedback in the management of an object; formalization of the process of quantitative assessment of decision-making risks in the environment of statistical uncertainty of control agents and psychological factors of the decision maker.

The subject matter of this article is cyber hygiene of the digital twin of the occupational safety management system of engineering and technical personnel of civil aviation. The goal is to develop a methodology for assessing the cyber hygiene of the digital twin of the occupational safety management system of engineering and technical personnel of civil aviation in the context of transformation into the quantum future. The tasks: to develop a methodology for assessing the state of the digital twin of the occupational safety management system of engineering and technical personnel of civil aviation using an integral cyber hygiene index; to develop a model of transitions of the functional state of the digital twin, allowing to predict its cybersecurity, cyber vulnerability and recovery capabilities in case of cyber-attacks; to determine cyber hygiene measures for the digital twin in the context of quantum transformation. Results: a methodology for assessing the cyber hygiene of the digital twin of the occupational safety management system of engineering and technical personnel of civil aviation in the context of quantum transformation has been developed; it has been proven that the process of transition of the cyber hygiene system from one state to another, in response to the measures taken, is an iterative process, which allows dynamically monitoring the effectiveness of the taken measures on DT cyber hygiene and predicting its further state; algorithm for the sequence of stages of assessing the state of DT cyber hygiene and their relationship within a cyclic process has been developed. Conclusions: a method for assessing the state of DT cyber hygiene has been developed, which, due to its iterative nature and the use of Markov chains, allows determining the probability of the transition of the cyber hygiene system from one state to another, as a response to the measures taken. The application of this method in practice will allow dynamic monitoring of the cyber hygiene of the digital twin and the effectiveness of the measures taken, as well as predicting its future state.

Purpose. Modeling strategies for increasing the efficiency of unmanned technologies by combining small unmanned aerial vehicles into groups, developing methods and algorithms for decentralized control of operating modes using internal data transmission channels based on VLC laser technologies. Methodology. This study was performed using system analysis, mathematical and computer modeling, and hardware implementation of optoelectronic devices. Effective obstacle avoidance by swarms of unmanned aerial vehicles (UAVs) was considered. Modeling of the complex motion of a UAV swarm was based on Newton’s second law with obstacle recognition along the trajectory. A three-dimensional domain with fixed obstacles was used for numerical modeling. Thirteen UAVs in a cube position were considered, which moved synchronously from the left wall (from the inlet to the outlet), avoiding obstacles in their path. Each drone made an avoidance decision, taking into account the position of the obstacle and its current position in space. The visualization was carried out using graphs of different types of obstacle avoidance. This process was repeated 10 times, after which the UAV trajectories were analyzed and compared. The results obtained demonstrated the effectiveness of the proposed algorithm. Findings. The analysis of the interaction of system components, taking into account their mutual influence and dependencies, allowed the development of effective control strategies and coordination of several UAVs. This area of research is important for increasing the efficiency and reliability of group UAVs in various conditions and tasks, which reflects modern requirements for autonomous systems and their management. Originality. For the first time, a substantiated approach to increasing the efficiency and reliability of group UAVs, taking into account their interaction and dependencies, is proposed to develop an effective management strategy for them, taking into account the current position in space and the coordinates of obstacles. Practical value. Practical application of the proposed algorithm will ensure increased UAV efficiency based on the use of IG UAVs with receiving and transmitting systems based on VLC laser technologies to solve a wide range of applied tasks: monitoring of land resources, emergency and rescue operations, cartography and transport services, in military affairs.

Although various approaches have been reported for forecasting aviation safety risks, they frequently fail to fully consider the stochastic nature and complex interrelations of numerous real-time factors that influence safety. This highlights the urgency for flexible and realistic analytical tools that can quantify the probability of aviation accidents and identify critical vulnerabilities to support proactive safety management. In this study, a probabilistic multiplicative stochastic risk model was developed based on Reason’s “Swiss cheese” concept for quantitative risk assessment and dynamic forecasting. Key risk parameters (e.g., the probability of breaking through a protective barrier) were modeled as random variables with beta distributions based on empirical observations and expert judgment to capture uncertainty and variability. Large-scale scenario modeling (10,000 simulations per scenario) was conducted using the Monte Carlo method to obtain statistically stable estimates, acknowledging the limitations posed by sparse accident data and reliance on expert judgment. This study contributes to aviation safety by adapting the Swiss cheese model to a stochastic framework parameterized with regional data. The novelty of this approach is the quantification of barrier-specific probabilities and the demonstration of how scenario-based improvements affect overall accident likelihood. The results highlight the potential and limitations of applying rare-event risk models in regions with sparse accident statistics.

Purpose – we plan to conduct an empirical study and natural psycholinguistic experiment, to assess the language policy of the Republic of Kazakhstan and its impact on the possibilities of professional and communicative competencies in the use of linguistic aspects of the state language in civil aviation, to develop a system of measures to activate language transformation in the country's civil aviation. Methods. The study is based on a triangulation approach, which involves the simultaneous use of several research methods: identification in academic databases, Scopus and Google Scholar data regarding scientific publications; qualitative and content analysis, marked by scientific publications; method for cause-and-effect relationship of language transformation; comparative analysis of language policy; statistical method of assessing the language situation in the country; critical analysis of document strategies; the "problem tree" method; the method natural psycholinguistic experiment; methodological consistency in presenting research results; generalization method in drawing conclusions. Results. Based on the natural psycholinguistic experiment results, studying professional communication and discourse of radiotelephony in civil aviation, reviews of aviation experts on sources of misunderstanding and research into the context of key turns, it is shown that the softness of the language policy of Kazakhstan corresponds to the sluggish methods of professional and communicative competencies of using linguistic aspects of the state language in civil aviation, which requires taking radical measures for language transformation in the field of air transport. Conclusions. Based on the results of the study, the softness of Kazakhstan’s language policy and its “weak” influence on the formation of professional-communicative competencies in the use of linguistic aspects of the state language were proven, as revealed during a psycholinguistic experiment in the field of civil aviation. A “problem tree” model of language transformation was constructed, which became the fundamental basis for developing a roadmap for the formation of professional-communicative competencies in the use of the linguistic aspects of the state language in civil aviation.