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• MODERN APPROACHES TO NATURAL FIRE MONITORING AND FORECASTING: REVIEW AND CONCEPT OF AUTONOMOUS UAV-BASED SYSTEM

  N.D. Boldyrev , V. V. Gilka , А.S. Kuznetsova , D.А. Morozov

  58-80

  2025-12-30

  Abstract ▼

  Natural fires cause serious damage to ecosystems, the economy, and public safety every year, and timely detection of fires and prediction of their development increases the speed of response to threats and allows for optimal allocation of resources during emergency response. Existing monitoring methods are limited by the speed of detecting fire outbreaks and the speed of their further spread, which reduces the effectiveness of rescue services. To solve this problem, heterogeneous data sources can be used, including unmanned aerial vehicles (UAVs), distributed sensor networks, mobile field observation systems, ground-based thermal imaging stations, etc., which can contribute to a more accurate analysis of the current situation and improve the reliability of predictive models of fire spread. The aim of the study was to develop a concept for an automated approach to monitoring and predicting wildfires based on unmanned aerial vehicles. We believe that this approach will improve the speed of detecting fire outbreaks and the accuracy of predicting their spread. The tasks include analyzing existing monitoring methods, developing a concept for a system that integrates multispectral imaging, optimized data transmission, automatic segmentation, and forecasting based on machine learning, as well as ensuring interaction between the operator and alert specialists. The work used methods of collecting, analyzing, and transmitting data from UAVs, processing multispectral images, machine learning and neural networks for fire detection, image segmentation algorithms and simulation modeling for fire spread prediction, data visualization to support decision-making by operators and administrators, logging and analysis of results for model training, software engineering, and human-computer interaction technologies. The system will reduce the time required to detect and predict fires, enable operators to launch multiple drones simultaneously, and automate the processing of data received from them. Process automation will reduce emergency response times and staffing levels, improve resource allocation, increase forecast accuracy, and improve the timeliness of emergency service notifications. This will help reduce damage from wildfires and improve the safety of people and ecosystems. Despite the progress made in addressing this challenge, the comprehensive system described in this article does not yet exist in its entirety in Russia, the CIS countries, or in Western and Asian countries. Although individual components, such as UAVs for monitoring and artificial intelligence (AI) for data analysis, are already in active use, there is currently no integrated solution that combines all elements (drone control, near real-time fire spread prediction, data transmission, and interaction with emergency services). does not currently exist. This concept represents a new approach that could become a breakthrough technology for combating natural disasters.

• METHODOLOGY FOR ANALYZING THE FAULT SAFETY OF SYSTEMS AND AGGREGATES OF A MULTI-AGENT GROUP OF AIRCRAFT

  A.S. Boldyrev, A.L. Verevkin, L.C. Verevkina

  2022-01-31

  Abstract ▼

  Areas of application of CALS technologies are considered to be: improvement of activities
  in the field of heterogeneous processes occurring at all stages of the life cycle (LC) of products;
  supply chain management throughout the entire LC of products (from the creation of the product
  concept to its disposal); electronic integration of organizations (enterprises) involved in these
  processes at various stages of LC; management of support for LC products One of the most relevant
  areas of development in the aviation industry are: multi-agent technologies for improving the
  efficiency of aircraft (aircraft of various types in a group and a single mission) and CALS technologies.
  The article proposes a methodology for analyzing the fault safety of systems and aggregates
  of the multi-agent group of aircraft as a whole, by types of aircraft, their systems, and aggregates.
  The methodology is given on the example of statistical data of AP and PAP 16 systems: flight navigation,
  exhaust, ignition, fuel, control, power supply, air conditioning; hydraulic, radio communication
  equipment, control devices, and aggregates: engine, propellers, wings, windows, lantern,
  ten aircraft AN-2, L-410, Yak-40, An-24, Tu-134, Yak-42, Tu-154, IL-62, IL-62M, IL-86. In the
  proposed methodology for analyzing statistical data of AP and PAP, transformations with matrices
  are used, which allow not to be limited to the number of systems, aggregates, and the aircraft
  themselves. The operating time before the functional failure of systems and aggregates by types of
  aircraft was calculated, the average probability of functional failure of each of the systems and
  aggregates in a multi-agent group was determined, and the time before the functional failure of a
  multi-agent group of 10 aircraft as a whole, which was 132.5 hours, and it was determined that
  PAP and AP are more likely to occur with the chassis and engine of the aircraft. The given methodology
  allows: to correlate quantitative reliability requirements for systems and aggregates,
  taking into account random factors and uncertainty factors; to assess the feasibility of the established
  reliability requirements; to conduct a comparative analysis and justification of the choice of
  a rational variant of the composition of the aircraft group.

• UNMANNED AERIAL VEHICLE AERODYNAMICS PERFORMANCE OPTIMIZATION USING VARIABLE SWEEP WING ANGLE

  A.J.D. Al-Khafaji, G.S. Panatov, А. S. Boldyrev

  2023-08-14

  Abstract ▼

  The unmanned aerial vehicles (UAVs) can take many forms depending on the type of UAV
  duty and condition of flight. In this project, optimization of UAVs aerodynamics property through
  the sweep angle of wing (sweepback angle) to reduce wave drag and delay the onset of drag divergence.
  therefor models of unmanned aerial vehicles (UAVs) designed with five different sweepback
  wing angle (15o, 20o, 25o, 30o, and 35o) and different aspect ratio with constant taper ratio =
  0.2 have been used. Every wing was built with airfoil for root and tip chord SD8020, with low
  Mach number equal to 0.058 (i.e., Velocity equal to 20 m/s). The whole models of a wing were
  plotted for a three-dimensional using the SOLIDWORKS software program, and then the models
  of this wing were analyzed employing ANSYS FLUENT. Calculations of the value of lift to drag
  ratio were made for deciding which UAV has optimum value of lift and the lowest drag versus the
  attack angle (0o, 2o, and 4o). The results Show that the aerodynamics performance changes according
  to the value of the sweepback angle and aspect ratio, the maximum lift to drag ratio
  achieved at UAV with sweepback angle 15o and the angle of attack is 2o, minimum lift to drag
  ratio at UAV with sweepback angle 35o and the angle of attack is 0o. Due to constant taper ratio
  which equal to 0.2 the wing area different according to each model. Best model with maximum lift
  to drag ratio has wing area equal to 1.68 m2 while model with minimum lift to drag has wing area
  equal to 0.65 m2.

• METHODOLOGY AND RELIABILITY MODELING OF THE GROUP CONTROL SYSTEM FOR ROBOTIC PLATFORMS

  A. S. Boldyrev, A. L. Verevkin, K. V. Pshikhopova , L. S. Verevkina

  2020-10-11

  Abstract ▼

  One of the most relevant areas of robotics development is the design of group cont rol
  systems. In the proposed structure, a group of five robotic platforms (RP) is controlled from a
  wearable or stationary remote control. This composition of the group determines schemeswith tunable connections between the components and changes in the principles of operation.
  The article presents experimental studies of the computational efficiency of methods for planning
  RP trajectories in space and defines the optimal method and the required parameters of
  the RP computer. Variants of schemes with different numbers of RP are considered, as well
  as models of cold backup of RP, remote controls, and the entire system. With such a variety
  of configurations, problems arise in justifying and selecting calculation methods, and in
  providing an unambiguous, generalized representation of the reliability parameters of a
  group control system. Increased requirements for the reliability of components of the group
  management system require an accurate assessment of reliability and are dictated by the
  significant cost of equipment and functional purpose. The developed method is intended for
  modeling the reliability of the developed system of group control of robotic platforms RP.
  The proposed method shows the use of structural, probabilistic and matrix methods for ca lculating
  reliability models of a group control system. An approach to modeling the reliabi lity
  of integer, redundant, sliding, and cold redundancy of RP and control panels is also pr oposed.
  The results of numerical calculations of the reliability parameters of the group management
  system allow us to assess the risks and choose modes, depending on the required
  efficiency of the mission.