ABSTRACT Relevance of the Topic - Currently, the majority of companies employ high-tech information equipment to support their operations. To ensure the reliable functioning and uninterrupted operation of such information systems, it is necessary to utilize specialized server rooms housing telecommunication equipment. The reliability and efficiency of these server rooms are directly linked to the conditions of their operation, particularly the microclimate. In this context, it becomes crucial to consider integrated climate control systems that provide optimal conditions for the reliability and efficiency of equipment utilization.
Actuality of theme. Nowadays we can observe a tendency to replace human labor with machine work, which has caused the rapid development of robotics. Robotic systems are the basis of automation of motor vehicles, air transport, modern industry and other areas of human activity. Currently, vacuum cleaners have become quite popular. One of the main tasks of modern mobile robots is the problem of orientation of devices in a closed space that goes through some changes over time. That is why the development of algorithms for building a room map and adaptation to its constant changes remains an urgent task.
The development of this system is crucial due to the constant increase in the risk for individuals in conflict zones and war-torn areas, where the threat of landmines poses a significant danger. This project aims to create an efficient and safe method of detecting explosive devices using advanced thermal imaging technology and artificial intelligence. The system will rely on the analysis of thermal images obtained from high-precision thermal imaging cameras. By leveraging artificial intelligence technology, the system will autonomously recognize patterns indicative of the presence of mines and generate rapid and accurate alerts for operators. It is anticipated that the outcome of the project will be the creation of a highly effective system that reduces risks and enhances safety for those working or residing in high-risk areas containing explosive devices. Furthermore, the system holds potential for various applications, including rescue operations, post-war mine clearance efforts, and military purposes.
The modern gas and oil industry faces ongoing challenges in ensuring the reliability and safety of gas and oil pipelines. Gas leaks can pose risks to human life, environmental contamination, and economic losses. This Master's dissertation explores the process of developing and implementing an automated dual-channel system that combines optical and infrared observation with the use of unmanned aerial vehicles (UAV) for the detection of gas leaks. The research encompasses a theoretical analysis of control methods and system parameter determination, equipment selection, the development of software for data processing and analysis, as well as the deployment of the system under real-world conditions. The research findings demonstrate that the developed system effectively detects gas leaks, providing reliable monitoring of gas and oil pipelines. The use of UAVs allows for monitoring in remote and hard-to-reach areas, making the system versatile and suitable for various conditions and industries. This dissertation contributes significantly to the advancement of gas and oil pipeline safety systems and can be applied in the gas transportation industry, environmental organizations, urban monitoring, and other sectors where reliable monitoring is critically important.
Relevance of the topic: Today, in various technical applications in the field of automated non-destructive testing (NDT), the issue of determining the coordinates of defects, various types of material inhomogeneities, etc., which do not meet the quality requirements of the controlled products, is relevant. The use of coordinate information makes it possible to monitor defects, as well as to build B- and C-scans, which contain not only information about defects, but also the coordinates of their location on the surface of the control object (OC). With this approach, according to the obtained data, it is possible to observe the process of the development of defects, and to monitor the appearance of new defects, to conduct additional studies of the detected defects by other NC methods, as well as to perform an assessment of the general condition of the object of control. Solving the issues of NDT automation in many practical tasks requires the use of non-contact methods of registration of coordinate information. Such methods require the use of additional means of information and measurement technology, focused on the use of various physical fields and phenomena - acoustic, optical, etc., and the formation of appropriate information signals that are carriers of coordinate information. In real conditions, such signals are observed against the background of significant noise and interference. Therefore, the study of non-contact methods of coordinate registration of information in systems of automated NDT, which provide reliable and accurate determination of coordinates under conditions of low signal/noise ratio, is an actual direction of development of NDT.
