SENSORY INFORMATION TECHNOLOGIES FOR THE SAFETY OF FLIGHT OF UNMANNED AERIAL VEHICLES

2020 ◽  
Vol 54 ◽  
pp. 96-111
Author(s):  
Anastasia Scherban ◽  
◽  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Information Technologies ◽  
Sensory Information ◽  
Aerial Vehicles

scholarly journals The Use of Low-Cost Unmanned Aerial Vehicles in the Process of Building Models for Cultural Tourism, 3D Web and Augmented/Mixed Reality Applications

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5457 ◽  
Author(s):  
Tomasz Templin ◽  
Dariusz Popielarczyk
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Information Technologies ◽  
Mixed Reality ◽  
Low Cost ◽  
3D Models ◽  
Unmanned Aerial Systems ◽  
Aerial Vehicles ◽  
Building Models ◽  
Tourism Services ◽  
Smart Tourism

Unmanned Aerial Systems (UAS) are widely used in low-cost photogrammetry. Even small Unmanned Aerial Vehicles (UAV) can deliver valuable data for the inventory of inaccessible and dangerous areas or objects. The acquisition of data for 3D object modeling is a complicated, time-consuming, and cost-intensive process. It requires the use of expensive equipment and often manual work as well as professional software. These are major barriers limiting the development of modern tourist platforms that promote local attractions. Information technologies offer new opportunities for the development of the services market, including the development of smart tourism services, as an integral part of the smart city concept. 3D models are an important element of this process as they form the basis for the use of new visualization technologies, such as Virtual, Mixed, and Augmented Reality (VR/MR/AR). 3D modeling provides a new opportunity to use AR/MR technology to present information about objects, virtual tours of the historic buildings, and their promotion. It also creates an opportunity to preserve the architectural heritage and preventive maintenance of buildings. Despite the increasing use of new measuring platforms and computer modeling techniques, the implementation of 3D building models in smart tourism services is still limited, focusing more on the results of scientific projects rather than on the implementation of the new ones. The paper presents an universal methodology for the inventory of historical buildings using low-cost UAVs. It describes the most important aspects related to the process of planning UAV measurement missions and photogrammetric data acquisition. The construction of 3D models and the possibilities of their further use to build smart tourism services based on Web/AR/MR/VR technology was also presented.

scholarly journals THE FORMATION OF PRACTICAL SKILLS IN THE USE OF MODERN INFORMATION TECHNOLOGIES IN THE CLASSROM OF A SCHOOL CIRCLE FOR MODELING AND PILOTING MULTICOPTER

2020 ◽  
Vol 1 (191) ◽  
pp. 181-185
Author(s):  
Alexander Chinchoy ◽  
Keyword(s):  
General Education ◽  
Unmanned Aerial Vehicles ◽  
Information Technologies ◽  
Career Guidance ◽  
Educational Process ◽  
Practical Skills ◽  
Aerial Vehicles ◽  
Analytical Thinking ◽  
Wide Circle ◽  
Modern Information

The article discusses the didactic issues of the organization and operation of the school circle on modeling and piloting unmanned aerial vehicles. The purpose of classes in the circle is to educate the creative personality of students in the process of acquaintance with the basics of aviation sciences and technologies, the development of technological techniques, skills in designing, manufacturing and launching models. It is noted that technical circles for many schoolchildren are an interesting, unusual occupation, a way to develop useful skills, help realize the potential of general education in the process of deepening and practical application of knowledge gained in lessons at school. The purpose of the article is to present the circle work as a means of forming key and subject competencies in the educational process in physics and vocational guidance of students. The program of the circle is aimed at developing spatial imagination, deepening school knowledge in the field of practical construction of various aircraft. The program is based on personality-oriented learning, taking into account the needs of each member of the circle, his abilities, skills and helps to fully identify and demonstrate the creative potential of students. The drone design club helps introduce a new approach to teaching adolescents and introduces them to the latest technologies: UAV design, assembly, tuning and control elements. In parallel, knowledge is acquired in mathematics, physics, computer science, drawing, natural sciences, logic, technical thinking and creativity are developing. During classes in the circle, students learn the basics of electronics and electrical engineering, programming, solve non-standard problems. Such work contributes to career guidance of students, develops interest in the scientific and technical field, forms analytical thinking, develops creative initiative and independence. Particular attention in the article is paid to the content of the thematic circle work plan modules: 1) business prospects on unmanned aerial vehicles; 2) design and configuration of a quadrocopter; 3) training piloting; 4) the use of quadrocopters for video and photography; 5) participation in exhibitions and competitions. It can be stated that the circle work should cover a wide circle of students, to most effectively contribute to the solution of one of the important tasks of our time ‒ the task of preparing a person for future work. Students develop general cultural competence and practical skills in using modern information technologies and electronics in engineering tasks, stimulate interest in learning.

Artificial Intelligence Methods in Aviation Specialist Training for the Analysis and Transmission of Operational Meteorological Information

2020 ◽  
pp. 306-322
Author(s):  
Sergiy I. Rudas ◽  
Evgeniya A. Znakovska ◽  
Dmitriy I. Bondarev
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Unmanned Aerial Vehicles ◽  
Information Technologies ◽  
Meteorological Data ◽  
Specialist Training ◽  
Air Traffic Controllers ◽  
Aerial Vehicles ◽  
Artificial Intelligence Methods ◽  
Learning Machine

The authors present methods for the application of artificial intelligence for operational meteorological information (OPEC). The means of communication for distribution of meteorological data using information technologies are presented. Practical courses for aviation specialists (pilots, air traffic controllers, operators of unmanned aerial vehicles) are considered in which artificial intelligence methods are used: datamining, deep learning, machine learning, using information technologies.

scholarly journals Satellite monitoring problems in the aerospace complex

2020 ◽  
pp. 26-30
Author(s):  
Sofiia Alpert
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicles ◽  
Crop Production ◽  
Information Technologies ◽  
Rapid Development ◽  
Oil And Gas Industry ◽  
Forest Monitoring ◽  
Satellite Monitoring ◽  
Large Capacity ◽  
Aerial Vehicles

Задачі підсуNowadays with the rapid development of information technologies, UAV-based Remote Sensing (drone remote sensing) gives a new opportunities for conducting scientific research in a much more detail way. UAVs (unmanned aerial vehicles) give the opportunity to acquire data at sufficiently low cost. They also provide remote data more rapidly than piloted aerial vehicles. Nowadays drones are often used, because application of piloted aerial vehicles can be dangerous, difficult and expensive for some territories. Application of low altitude UAVs give a possibility to achieve images with a very high resolution and sufficient precision. In this article structure and main details of drones were considered. It also was noted, that technologies of UAV-based Remote Sensing are used in different areas.Agricultural drones help to analyze crops, make decisions on how to use the crop information and take the necessary actions to correct the problems. These unmanned aerial vehicles let to see fields from the sky. Agricultural drones are used to help increase crop production and monitor crop growth. Drones and sensors give a detail picture of fields. They can survey the fields periodically. Agricultural drones can reveal many issues such as soil variation, pest infestations and changes in the crops over time. They also show differences between healthy and unhealthy plants. Drones are flied over the crops and help to make decisions on how to proceed given the crop information. Nowadays there is a large capacity for growth in the area of agricultural unmanned aerial vehicles. With technology constantly improving, imaging of the crops will need to improve as well.Drones are used for exploring for minerals and mapping deposit sites, they are used in the oil and gas industry for remote monitoring. Drones can provide information of nature disasters and give help to assess property damage. They help to conduct forest monitoring and to assess plant health. Unmanned aerial vehicles are also used in a military capacity and ecological monitoring. It also was noted, that there is a large capacity for development and improvement of unmanned aerial vehicles.путникового моніторингу в аерокосмічному комплексі

scholarly journals Generalized Net Model of Forest Zone Monitoring by UAVs

Mathematics ◽  
2021 ◽  
Vol 9 (22) ◽  
pp. 2874
Author(s):  
Krassimir T. Atanassov ◽  
Peter Vassilev ◽  
Vassia Atanassova ◽  
Olympia Roeva ◽  
Rosen Iliev ◽  
...  
Keyword(s):  
Decision Making ◽  
Unmanned Aerial Vehicles ◽  
Information Flow ◽  
Forest Fires ◽  
Rapid Detection ◽  
Sensory Information ◽  
Decision Making Process ◽  
Forest Zone ◽  
Aerial Vehicles ◽  
Generalized Net

The paper presents a generalized net (GN) model of the process of terrain observation with the help of unmanned aerial vehicles (UAVs) for the prevention and rapid detection of wildfires. Using a GN, the process of monitoring a zone (through a UAV, which is further called a reconnaissance drone) and the localization of forest fires is described. For a more indepth study of the terrain, the reconnaissance drone needs to coordinate with a second UAV, called a specialized drone, so that video and sensory information is provided to the supervising fire command operational center. The proposed GN model was developed to assist in the decision-making process related to the coordination of the operation of both UAVs under dynamically changing terrain circumstances, such as those related to preventing or quickly containing wildfires. It describes the stages (transitions), logical determinants (transition predicate matrices), and directions of information flow (token characteristics) within the process of localization of fires using the pair of reconnaissance and specialized drones.

Development of thickened semi-synthetic engine oil M-5z / 20 AERO for four-stroke gasoline engines aircraft piston of unmanned aerial vehicles (UAVs)

2020 ◽  
Vol 06 ◽  
pp. 44-47
Author(s):  
A.A. Moykin ◽  
◽  
A.S. Medzhibovsky ◽  
S.A. Kriushin ◽  
M.V. Seleznev ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Engine Oil ◽  
Motor Oil ◽  
Gasoline Engines ◽  
State Research Institute ◽  
Technical Requirements ◽  
Aerial Vehicles ◽  
State Research ◽  
Industrial Batch ◽  
The Russian Federation

Nowadays, the creation of remotely-piloted aerial vehicles for various purposes is regarded as one of the most relevant and promising trends of aircraft development. FAU "25 State Research Institute of Chemmotology of the Ministry of Defense of the Russian Federation" have studied the operation features of aircraft piston engines and developed technical requirements for motor oil for piston four-stroke UAV engines, as well as a new engine oil M-5z/20 AERO in cooperation with NPP KVALITET, LLC. Based on the complex of qualification tests, the stated operational properties of the experimental-industrial batch of M-5z/20 AERO oil are generally confirmed.

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