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DOI:

Cybernetics and Computer Engineering, 2024,1(215)

Shepetukha D.O., PhD (Technics),
Senior Researcher of Intelligent Control Department
https://orcid.org/0000-0002-6256-5248
e-mail: yshep@meta.ua

Semenog R.V., PhD Student,
Researcher of Intelligent Control Department
https://orcid.org/0000-0002-6714-0644
e-mail: ruslansemenog20@icloud.com

International Research and Training Center for Information
Technologies and Systems of the National Academy of Sciences
of Ukraine and the Ministry of Education and Science of Ukraine,
40, Akad. Glushkov av., Kyiv, 03187, Ukraine

SEQUENTIAL STRUCTURING METHOD FOR BUILDING DYNAMIC OBJECTS MANAGEMENT SYSTEMS

Introduction. The growing role of information technologies makes them an important part of modern facilities management systems and contributes to increasing their efficiency, security and their ability to adapt to changes. A new type of information systems is emerging that uses advanced technologies to automate and optimize management processes, including artificial intelligence and others — Intelligent Management Systems(IMS), is emerging now.

The next step in this direction is complex systems that allow dynamic objects to be controlled independently of external intervention — autonomous control systems (ACS). SACs use a variety of sensors, data processing and decision-making algorithms and are widely used in the automotive industry (for example, self-driving cars), in unmanned aerial vehicles (drones), and many other industries where independent and efficient control of objects is required.

The purpose of the article is to investigate modern concepts of building autonomous control systems for dynamic objects and to describe methods of intellectualization of such systems.

The results. A modern approach to the construction of systems of autonomous control of dynamic objects, based on sequential structuring, was studied. Methods of creating systems aimed at optimizing automatic management of dynamic objects are highlighted.

Conclusions. A promising direction of research is the development of a new generation of intelligent information technologies that use information processing mechanisms that are based on the method of sequential structuring in the construction of automatic control systems.

Concepts for building automatic control systems should ensure the application of meaningful data processing methods and use components of synergistic interaction of human-machine control systems. The application of the methodology of sequential structuring of weakly formalized components of intellectual problems in visual management systems allows achieving some unification in solving a certain class of intellectual management problems.

The further direction of research consists in the development of a new generation of information technologies and the corresponding toolkit of automatic control, which will apply methods of meaningful data processing, in particular, the method of sequential structuring for the intellectualization of automatic control systems.

Keywords: intelligent information technology, artificial intelligence, intelligent control, dynamic object, imaginative thinking, autonomy.

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14. Shepetukha Yu.M., Volkov O.Ye., Komar M.M.. Intellectualization of decision making processes in autonomous control systems. Cybernetics and computer engineering. 2021,
№ 2 (204), pp. 49-63 http://jnas.nbuv.gov.ua/article/UJRN-0001262408

Received 04.01.2024

March 19, 2024March 19, 2024

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Issue 1 (215), article 4

DOI:

Cybernetics and Computer Engineering, 2024,1(215)

Volosheniuk D.O., PhD (Technics), Senior Researcher,
Head of the Unmanned Aircraft Systems Laboratory
https://orcid.org/0000-0003-3793-7801,
e-mail: p-h-o-e-n-i-x@ukr.net

Tymchyshyn R.M., PhD Student,
Researcher of Intelligent Control Department
https://orcid.org/0000-0002-4243-4240,
e-mail: romantymchyshyn.rt@gmail.com

INTELLIGENT INFORMATION TECHNOLOGY FOR TRANSPORT INFRASTRUCTURE MONITORING

Introduction. The rapid growth in the number of UAV developments in recent years is associated with serious technological advances in various fields. In particular, successes in the field of geographic information systems (GIS) raise the problem of dynamic modeling of reality and maintenance of cartographic information in an up-to-date state. To eliminate it, it is necessary to solve the problem of prompt introduction of changes. If the information contained in the GIS is inaccurate or outdated, its analysis will not correspond to the real situation, which can lead to wrong decisions.

That is why data about objects in GIS need systematic updating. Without updating the GIS data, they cannot perform the tasks for which they are intended. Therefore, the joint use of UAVs and GIS becomes an important component of a unified information and communication environment.

The purpose of the article is to investigate the information technology of ensuring the process of monitoring the transport infrastructure using the optical systems of an unmanned aerial vehicle (UAV).

The results. The issue of the need to create a new perspective system for controlling unmanned aerial vehicles and the development of methods for its intellectualization was considered. The ideas of applying the theory of invariance and autonomy for the synthesis of promising control systems are proposed, as well as a number of methods for ensuring a high level of their intellectualization. An approach to solving the problem is proposed, based on the theory of high-precision remote control of dynamic objects, as well as on the complex interaction of the methods of the theory of autonomy, adaptive control, and intellectualization of the processes of control of dynamic objects.

Conclusions. The obtained research results indicate the possibility of successful application of the developed transport infrastructure monitoring technology, in particular for the management of engineering networks. The solutions used in the developed technology are universal and capable of solving complex tasks for electric, water, heat and gas networks, as well as for roads and railways.

Prospects for further research are to improve the quality of thematic processing methods to improve the classification result. The developed methods can be used instead of expert decryption of monitoring data with similar and even higher accuracy.

Keywords: unmanned aerial vehicle, control system, invariance, intellectualization, autonomy.

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REFERENCES

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Received 03.01.2024

March 19, 2024March 19, 2024

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Issue 1 (215), article 3

DOI:

Cybernetics and Computer Engineering, 2024,1(215)

Komar M.M., PhD (Engineering), Senior Researcher  Deputy Director for Scientific and Organizational Work,
https://orcid.org/0000-0001-9194-2850,
e-mail:nickkomar08@gmail.com

Chepizhenko V.I., DSc (Engineering), Senior Researcher,
Leading Researcher of the Intelligent Control Department,
https://orcid.org/0000-0001-8797-4868,
e-mail: chepizhenko.valeriy@gmail.com

Bogachuk Yu.P., PhD (Engineering), Senior Researcher,
Senior Researcher of the Intelligent Control Department
https://orcid.org/0000-0002-3663-350X,
e-mail: dep185@irtc.org.ua

Soloviev M.V., PhD Student,
Leading Engineer of the Intelligent Control Department
https://orcid.org/0009-0003-5131-7497,
e-mail: 19Leviathan90@gmail.com

DEVELOPMENT OF THE MULTI PURPOSE SIMULATION COMPLEX FOR TRAINING OF UNMANNED SYSTEMS OPERATORS

Introduction. This paper discusses the development of a multi-domain simulation complex for training unmanned systems operators. Active use of unmanned systems, their improvement, and complication of designs require the creation and development of simulators and modeling equipment, the use of which ensures effective training of competent operators.

The purpose of the paper is development of the multipurpose simulation complex for training of unmanned systems operators and for performing experimental and research works.

The methods. The following methods were used during the work: methods of automatic control, theory of navigation, theory of group decision making, theory of construction of distributed control systems for aircraft in a network-centric environment, methods of semi-natural modeling, methods of software engineering, methods for evaluating the piloting characteristics and stability and controllability characteristics of simulators, methods for evaluating the visualization systems of simulators.

The results. As a result of the work, a prototype of the complex was created, which can be used for the development and research of aircraft control systems, training of unmanned systems operators, and conducting experimental research.

Conclusions. The developed prototype of the multi-domain simulation complex is a tool for solving the problem of quality training of operators. The complex allows operators to be trained in a safe environment, which reduces the risk of equipment damage and injuries to people. In addition, the complex allows for the study of aircraft control systems and the development of new control algorithms.

Keywords: Unmanned system, Training complex, Virtual environment, Operator, Simulation, Simulation complex, Control systems.
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REFERENCES

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10. Selecký M., et al. Analysis of using mixed reality simulations for incremental development of multi-uav systems. Journal of Intelligent & Robotic Systems. 2019, 95(1), pp. 211–227.

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Received 29.12.2023

March 19, 2024March 19, 2024

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Issue 1 (215), article 2

DOI:

Cybernetics and Computer Engineering, 2024,1(215)

Dzhebrailov R.Yu., PhD Student,
Junior Researcher of the Research Laboratory of Unmanned Complexes and Systems,
https://orcid.org/0000-0002-4473-9670,
e-mail: rombik1197@gmail.com

Gospodarchuk O.Yu.,
Senior Researcher of the Intelligent Control Department
https://orcid.org/0000-0001-6619-2277,
e-mail: olexago@gmail.com

International Research and Training Center
for Information Technologies and Systems
of the National Academy of Science of Ukraine and the Ministry of Education and Science of Ukraine.
40, Acad. Glushkov av., 03187, Kyiv, Ukraine

DETECTION OF SPECIAL ZONES AS A BASIS FOR THE METHOD OF TOPOGRAPHIC AFFINITY OF IMAGES

Introduction. The satellite and inertial navigation systems of an unmanned aerial vehicle (UAV) or unmanned aircraft system (UAS) have their drawbacks. Attempts to eliminate these shortcomings are to develop an autonomous navigation system. The officially patented model of an autonomous navigation system, as it turned out, also has its drawbacks. Accordingly, there is a need to improve such an autonomous navigation system.

The purpose of the paper is to develop and study a method for determining the topographic affinity of images based on the detected special zones in images of the natural landscape for autonomous UAV navigation.

Results. A method of topographic affinity of visual images based on the detection of special zones by searching for local maxima of the Laplace operator in the image has been developed. The method of topographic affinity of images allows involving a smaller number of special points for comparison, which reduces the amount of required memory resources and increases performance.

Conclusions. The proposed method of topographic affinity of images based on the detection of special zones (blob detection methods) based on the principle of searching for local maxima of the Laplace operator can be used to build an autonomous navigation system for UAVs. The algorithmic implementation of the method has shown that it can work with a large number of complex and diverse images of the earth’s surface obtained during UAV flights, is effective by increasing the processing speed of the studied images, and can be implemented to create full-fledged UAV autonomous navigation systems.

Keywords: unmanned aerial vehicle, unmanned aerial vehicle complex, autonomous navigation, special points, special zones, method of special image zones analysis.

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REFERENCES

Irani G., Christ J. Image processing for Tomahawk scene matching. Johns Hopkins APL Technical Digest. 1994, No, 3, pp. 250–264.
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Scaramuzza D., Fraundorfer F. Visual odometry [tutorial]. Part I: The first 30 years and fundamentals. IEEE Robotics and Automation Magazine. 2011, No. 4, pp. 80–92.
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Efficient on-board Stereo SLAM through constrained-covisibility strategies / G. Castro et al. Robotics and Autonomous Systems. 2019, No. 116, pp. 192–205.
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Received 19.12.2023

March 19, 2024March 19, 2024

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Issue 1 (215), article 1

DOI:

Cybernetics and Computer Engineering, 2024,1(215)

Volkov O.Ye., PhD (Engineering), Senior Researcher
Director
https://orcid.org/0000-0002-5418-6723,
e-mail: alexvolk@ukr.net

Simakhin V.M., PhD Student,
Senior Researcher of the Laboratory of Unmanned Complexes and Systems
https://orcid.org/0000-0003-4497-0925,
e-mail: thevladsima@gmail.com

ALGORITHM FOR CONTROLLING THE FULL ENERGY OF AN UNMANNED AERIAL VEHICLE

Introduction. The development of unmanned aviation requires constant active implementation of new technologies and systems. Autonomous control and navigation are among the most relevant areas of development of unmanned aerial vehicles (UAVs). Various approaches and tools are used to increase the level of intellectualization of UAV control, including are full-energy control systems.

The purpose of the paper is to develop a full-energy control algorithm for UAVs to enhance control intellectualization through dynamic regulation of the altitude and flight speed of the aircraft.

Methods. Theory of intelligent control, automatic control, theory of UAV flight dynamics.

Results. To develop the algorithm for controlling the full energy of UAVs, the theoretical basis of full-energy control systems was considered, and the development of the concept of such modern systems was analyzed. On the basis of the general laws of aircraft control, a full-energy control algorithm for UAVs was synthesized, which operates in three modes: full energy control, altitude control, and flight speed control.

Conclusions. The developed full-energy control algorithm covers the main necessary UAV control modes for performing flight tasks in a volatile environment. The use of such an algorithm in modern navigation and flight systems will increase the efficiency and intellectualize the UAV control process.

Keywords: Unmanned Aerial Vehicle, Control Algorithm, Full Energy Control, Navigation and Piloting Complex, TECS.

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REFERENCES

Kevin R. Bruce. (NASA-CR-778285) NASA B737 Flight Test Results of the Total Energy Control System (Boeing Commercial Airplane Cc.). Seattle, Washington, 1987. 103 p.
Lambregts, Antonius A. TECS Generalized Airplane Control System Design – An Update. In Advances in Aerospace Guidance, Navigation and Control, 2013, pp. 503–534.
Lambregts, Antonius A., Flight envelope protection strategies for automatic and augmented manual control, in Proc. of the CEAS Conf. on Guidance, Navigation and Control. Delft, The Netherlands, 2013, pp. 1364–1383.
Jimenez, P., Lichota, P., Agudelo, D. and Rogowski, K. Experimental Validation of Total Energy Control System for UAVs. In Energies, 2019, Vol. 13, Number 1, 14. p.
Lai, Y.-C. and Ting, W. Design and Implementation of an Optimal Energy Control System for Fixed-Wing Unmanned Aerial Vehicles. In Applied Sciences, 2016, Vol. 6, Number 11, 369. p.
Volkov, O. Ye., Shepetukha, Y. M., Bogachuk, Y. P., Komar, M. M., & Volosheniuk, D. O. Experience in Development and Implementation of Intelligent Systems for Control of Dynamic Objects. In Control Systems and Computers, 2022, Issue 1 (297), pp. 64–81.
Volkov, O., Komar, M., Rachkovskij, D., & Volosheniuk, D. Technology of Autonomous Take-Off and Landing for the Modern Flight and Navigation Complex of an Unmanned Aerial Vehicle. In Cybernetics and Systems Analysis. 2022, Vol. 58, Issue 6, pp. 882–888.

Received 13.12.2023

March 19, 2024March 19, 2024

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Issue 1 (215)

DOI:

View web version

THEMATIC ISSUE:

TABLE OF CONTENTS:

Informatics and Information Technologies:

Volkov O.Y., Simakhin V.M.
Algorithm for Controlling the Full Energy of an Unmanned Aerial Vehicle

Dzhebrailov R.Y., Gospodarchuk O.Y.
Detection of Special Zones as a Basis for the Method of Topographic Affinity of Images

Komar M.M., Chepizhenko V.I., Bogachuk Yu.P., Soloviev M.V.
Development of the Multi Purpose Simulation Complex for Training of Unmanned Systems Operators

Volosheniuk D.O., Tymchyshyn R.M.
Intelligent Information Technology for Transport Infrastructure Monitoring

Shepetukha D.O., Semenog R.V.
Sequential structuring Method for Building Dynamic Objects Management Systems

December 13, 2023March 19, 2024

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Issue 4 (214), article 5

DOI:https://doi.org/10.15407/kvt214.04.074

Cybernetics and Computer Engineering, 2023, 4(214)

Kutsiak О.А.¹, PhD (Engineering),
Acting Head of the Department of Bioelectrical Control
& Medical Cybernetics
https://orcid.org/0000-0003-2277-7411,
e-mail: spirotech85@ukr.net

Vovk М.І.¹, PhD (Biology), Senior Researcher,
Leading Researcher of the Department of Bioelectrical Control
& Medical Cybernetics
https://orcid.org/0000-0003-4584-9553,
e-mail: imvovk3940@gmail.com

Matsaienko A.M.², PhD (Engineering),
Senior Lecturer
https://orcid.org/0000-0003-1149-7318,
e-mail: matsaenko2007@ukr.net

¹International Research and Training Center for Information Technologies and Systems of the National Academy of Science
of Ukraine and the Ministry of Education and Science of Ukraine,
40, Acad. Glushkov av. Kyiv, 03187, Ukraine

²Kruty Heroes Military Institute of Telecommunications
and Information Technology

INFORMATION TECHNOLOGY FOR EFFICIENT RECOVERY/CORRECTION OF MUSCLE ACTIVITIES FOR MOTOR TASK PERFORMANCE

Introduction. The conditions of wartime and post-war state call for priority requirements for development and utilisation of new information technologies for recovery/correction of motor functions. The major ones are personalisation, mobility, efficiency, ease of implementations both for in- and out-patients.

The purpose of the paper is to consider the theoretical and practical foundations of synthesis of the muscle activity recovery/correction technology for the performance of a motor task with the limbs using a digital-analog device of programmed myoelectric stimulation “MioAktyvSyntez-4”.

Results. The theoretical and practical foundations of synthesis of the information technology, which satisfies the main requirements – personalization, efficiency, mobility, ease of use both in clinical and non-clinical conditions, for recovery/correction of muscle activity to perform a motor task by limbs are developed. The technology is implemented by a new class of digital-analog multi-channel programmed stimulators – four-channel programmed electromyostimulator “MioAktyvSyntez-4”. The device is designed to perform a certain task by movements of limbs’, as well as fine motor skills of the hand to recover the oral speech.

The structural and functional model of the electromyostimulator “MioAktyvSyntez-4” is considered. The main functional units of the device are given and their implementation is determined: unit for selecting the stimulation channels and unit for synthesis of stimulation programs are digital, and the stimulation unit and user interface unit are analog. The use of programmable logic is chosen for processing the information in digital form. The basis of certain algorithm for selecting the stimulation channels for forming the stimulation programs – the truth tables are considered. The structural and functional scheme of the technical implementation of formation of limbs’ movements with the digital-analog device “MioAktyvSyntez-4” is considered.

Conclusion. Further research is aimed at retrofitting the “MioAktyvSyntez-4” type devices with modern interfaces, means of control and diagnostics in order to improve ease of utilisation and efficiency of personalised recovery/correction of the movement of the limbs. This is of paramount importance after military and civilian injuries, in adults and children, during the wartime and in post-war state.

Keywords: information technology, algorithm, programmed module, personalised control, muscle activity, programmable myostimulator, information processing, digital medical data, digital-analog implementation, motor task, motor model, operative adjustment

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Received 04.09.2023

December 13, 2023March 19, 2024

admin

Issue 4 (214), article 4

DOI:https://doi.org/10.15407/kvt214.04.054

Cybernetics and Computer Engineering, 2023, 4(214)

Aralova N.I.¹, DSc (Engineering), Senior Researcher, Senior Researcher of the Department of Optimization of Controlled Processes,
https://orcid.org/0000-0002-7246-2736,
e-mail: aralova@ukr.net

Radziejowski P.A.², DSc (Biology), Professor,
Professor of the Educational Studies Department
https://orcid.org/0000-0001-8232-2705,
e-mail: p.radziejowski@wseit.edu.pl

Radziejowska M.P.³, DSc (Biology), Professor,
Professor of the Management Faculty, Department of Innovations and Safety Management Systems
https://orcid.org/0000-0002-9845-390X,
e-mail: maria.radziejowska@pcz.pl

Aralova A.A.¹, PhD (Mathematics)
Researcher of the Department of Methods for Discrete Optimization, Mathematical Modelling and Analyses of Complex Systems
https://orcid.org/0000-0001-7282-2036,
email: aaaralova@gmail.com

¹V.M.Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine,
40, Acad. Glushkov av., 03187, Kyiv, Ukraine

²Kazimiera Milanowska College of Education and Therapy,
22,Grabowa str., 61-473, Poznań, Poland

³Czestochowa University of Technology
19b, Armii Krajowej str., 42-200, Częstochowa, Poland

INTELLIGENT DECISION-MAKING SUPPORT TECHNOLOGIES REGARDING THE OPTIMIZATION OF THE PHYSICAL TRAINING OF MILITARY SERVICEMEN

Introduction. The NATO Medical Doctrine and the Military Medical Doctrine of Ukraine emphasize the need to apply scientific approaches to health care, physical training, and supporting special operations. Of course, the extreme conditions of professional activity require the personnel to have appropriate training and the ability to adapt. Professional selection and training should be, on the one hand, scientifically based and objective, and on the other hand, using an individual approach, should be as effective as possible. Currently, this is impossible without the use of information technologies.

The purpose of the paper is to develop intelligent technology on the basis of mathematical models of the body’s functional systems, to support decision-making regarding the optimization of physical training of military personnel

Methods. Mathematical modeling methods, numerical optimization methods

Results. An intelligent technology has been developed to support decision-making regarding the optimization of the physical training of military personnel, which includes a complex of mathematical, algorithmic and software for assessing the current state and forecasting the functional state of military personnel. Mathematical support includes mathematical models of regulation of oxygen regimes of the human body, transport and mass exchange of respiratory gases in the human body, functional self-organization of the respiratory system and blood circulation, heat exchange in the human body, immune response, and the interaction and mutual influence of these systems. If there is a suitable array of personal data, it can be used for individual planning of physical training of personnel.

Keywords: optimizing the physical training of servicemen, functional respiratory system, extreme conditions of professional military activity, adaptation of the body of a serviceman.

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Received 28.08.2023

December 13, 2023March 19, 2024

admin

Issue 4 (214), article 3

DOI:https://doi.org/10.15407/kvt214.04.040

Cybernetics and Computer Engineering, 2023, 4(214)

Melnychenko A.S., PhD Student,
the Pattern Recognition Department
https://orcid.org/0009-0009-2445-8271
e-mail: toscha.1232013@gmail.com

Vodolazskyi Ye. V. , PhD Engineering,
Senior Researcher, the Pattern Recognition Department
https://orcid.org/0000-0003-3906-256X
e-mail: waterlaz@gmail.com

International Research and Training Center for Information Technologies and Systems of the National Academy of Science
of Ukraine and the Ministry of Education and Science of Ukraine 40, Acad. Glushkov av., 03187, Kyiv, Ukraine

TEXTURE MISSING PARTS GENERATION BASED ON IMAGE STATISTICAL ANALYSIS

Introduction. Restoration of damaged images is a long lasting problem that currently does not have a generalized solution. Many methods which are being used nowadays are damage type specific, which means that for each case of damaged image an algorithm must be picked by a human. A state of the art generative algorithms, which may handle many of the damage types, still lack the precision and require huge training datasets. Thus an algorithm that is able to handle most common damage types and does not demand lots of time and computational power is still in need.

The purpose of the paper is to research the current state of the art algorithms that solve texture missing part generation problem as well as to propose a new method, which might provide both precision and ease of use for solving said problem for most of the damage types using the same approach.

Methods. Research and analytics are used for processing found literature on the topic to substantiate the main approaches and best practices for the solution of the texture missing parts generation problem. As for purposed method, Gibbs sampling is used as a means of generating missing pixels of the image. Some additional algorithms, which might be used to generate probabilistic distribution for sampler and the means of getting the pixel value from the sampling process, are mentioned in the article itself.

Results. State of the art approaches for solving texture missing parts generation are analyzed and compared. Main groups of generative, texture reparation, gradient filling and combined methods are described and compared. New method for generating missing parts of the texture based on statistical analysis of the scene images is proposed. The generation of the pixel values in said method is based on Gibbs sampling. The first results of purposed method with patch based probabilistic distribution generation are shown.

Conclusions. The proposed Gibbs sampling based method is able to provide results, which are comparable with those generated by other modern methods. As a future work, it is planned to develop new more sophisticated and precise patches matching algorithms as well as to research other methods of both generating probability distribution and gathering pixel value from the sampling process.

Keywords: Gibbs sampling, texture restoration, image restoration, patches matching

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Received 03.10.2023

December 13, 2023March 19, 2024

admin

Issue 4 (214), article 2

DOI:https://doi.org/10.15407/kvt214.04.024

Cybernetics and Computer Engineering, 2023, 4(214)

Popov I.V., PhD Student,
Junior Researcher of the Intelligent Control Department
https://orcid.org/0009-0009-7961-9431,
e-mail: popigor7@gmail.com

Lakhtyr D.A., PhD Student,
Juniour Researcher of the Intelligent Control Department,
https://orcid.org/0009-0003-8696-466X,
e-mail: danilkovnir@gmail.com

International Research and Training Center for Information Technologies and Systems of the National Academy of Science
of Ukraine and the Ministry of Education and Science of Ukraine 40, Acad. Glushkov av., 03187, Kyiv, Ukraine

ALGORITHMS AND METHODS FOR SURFACE RECONSTRUCTION OF FREEFORM SHAPE INFRASTRUCTURE OBJECTS FOR BUILDING INFORMATION MODELLING

Introduction. The construction industry actively uses new technologies and tools, in particular, the technologies of intellectualization of management of data collection, using various types of unmanned aerial vehicles (UAVs). The development of these technologies is not an exception, on the contrary, it is actively used, both as part of the building information modeling system as well as without full integration into similar information complexes. To improve the effectiveness of quality control and monitoring, methods of using drones of various types to collect data for creating BIM models have been created. 3D models of buildings are created with the help of drones using active LIDAR (Light Identification, Detection and Ranging) sensors, which require the use of surface reconstruction algorithms from point clouds. The article provides an attempt to research algorithms, combinations of algorithms, and approaches to their combination when applied to intelligent systems based on UAVs.

The purpose of the paper is to investigate surface reconstruction algorithms from a cloud of points obtained using methods of laser terrain scanning and analysis of visual data obtained from an unmanned aerial vehicle and to determine the conditions for their effective combined use for building information modeling technology and approaches to their combination when applied by intelligent systems based on UAVs.

Justification of the criteria for choosing combinations of algorithms and assessment of the perspective of their further research and improvement for tasks related to the features of the use of various types of unmanned aerial vehicles as a means of creating multidimensional models of building and infrastructure objects.

The results. Algorithms for the reconstruction of surfaces from a cloud of points obtained using the methods of laser terrain scanning and analysis of visual data obtained from an unmanned aerial vehicle were studied. The conditions for their effective combined use for building information modeling technology and approaches to their combination when applied to intelligent systems based on UAVs were defined.

The criteria for selecting combinations of algorithms were substantiated and the prospects of their further research and improvement were assessed for tasks related to the specifics of using various types of unmanned aerial vehicles as a means of creating multidimensional models of building and infrastructure objects.

Conclusions. The use of a single surface reconstruction algorithm to create multidimensional BIM simulation models cannot be considered optimal. The conducted review shows that for the optimal solution of this problem, it is necessary to continue research in this direction. This will avoid excessive demands on the computing power of BIM systems when modeling a geometric shape while preserving properties and details with minimal data loss.

Keywords: unmanned aerial vehicle, building information modeling, LIDAR, surface reconstruction, visual data, digital object models.

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Received 14.09.2023

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