NPP Post-Accident Monitoring System Based on Unmanned Aircraft Vehicle: Concept, Design Principles

Sachenko, Anatoliy; Kochan, Volodymyr; Kharchenko, V.; Yastrebenetsky, M.; Fesenko, Herman; Yanovsky, Max

doi:10.32918/nrs.2017.1(73).04

Cited by 10 publications

(4 citation statements)

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“…Hence, an application of the proposed image representation by atomic functions to IoT systems, which are used in combination with EC and AI, is promising. Future research can be related to the spatial complexity reduction of the DAC algorithm and the development of methods and algorithms for the multi-parametrical presentation and implementation of atomic functions to decrease the risks of successful attacks on the confidentiality and integrity of IoT systems, such as autonomous systems based on UAV fleets [ 61 ] and ground robots [ 62 ] for pre- and post-monitoring severe accidents of NPPs and other objects of critical energy, transport, and industrial infrastructures.…”

Section: Discussionmentioning

confidence: 99%

Digital Image Representation by Atomic Functions: The Compression and Protection of Data for Edge Computing in IoT Systems

Makarichev

Illiashenko

Kharchenko

2022

Sensors

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Digital images are used in various technological, financial, economic, and social processes. Huge datasets of high-resolution images require protected storage and low resource-intensive processing, especially when applying edge computing (EC) for designing Internet of Things (IoT) systems for industrial domains such as autonomous transport systems. For this reason, the problem of the development of image representation, which provides compression and protection features in combination with the ability to perform low complexity analysis, is relevant for EC-based systems. Security and privacy issues are important for image processing considering IoT and cloud architectures as well. To solve this problem, we propose to apply discrete atomic transform (DAT) that is based on a special class of atomic functions generalizing the well-known up-function of V.A. Rvachev. A lossless image compression algorithm based on DAT is developed, and its performance is studied for different structures of DAT. This algorithm, which combines low computational complexity, efficient lossless compression, and reliable protection features with convenient image representation, is the main contribution of the paper. It is shown that a sufficient reduction of memory expenses can be obtained. Additionally, a dependence of compression efficiency measured by compression ratio (CR) on the structure of DAT applied is investigated. It is established that the variation of DAT structure produces a minor variation of CR. A possibility to apply this feature to data protection and security assurance is grounded and discussed. In addition, a structure or file for storing the compressed and protected data is proposed, and its properties are considered. Multi-level structure for the application of atomic functions in image processing and protection for EC in IoT systems is suggested and analyzed.

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Section: Discussionmentioning

confidence: 99%

Digital Image Representation by Atomic Functions: The Compression and Protection of Data for Edge Computing in IoT Systems

Makarichev

Illiashenko

Kharchenko

2022

Sensors

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“…Такі мережі, наприклад, можуть розгортатися для забезпечення бездротового зв'язку між постом контролю (ПК) автоматизованої системи контролю радіаційної обстановки та кризовим центром (КЦ) атомної електростанції (АЕС) у разі якщо дротові мережі між ними були пошкоджені [1][2]. Також вони можуть бути складовою багатоверсійної системи моніторингу АЕС, побудованої з використанням технології Інтернету дронів.…”

Section: постановка проблемиunclassified

Load Balancing Between Unmanned Aerial Vehicles of a Flying Wireless Network Using Automatic Replacement and Charging Stations

Kliushnikov

Fesenko

2020

MEC

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Today, multi-rotor UAVs (MUAVs) equipped with an electric motor are considered to be used as an affordable and cost-efficient tool to deploy flying wireless networks (FWNs). Nevertheless, the popular MUAVs have an endurance of about 30 minutes only. The last fact presents a significant barrier to use FWNs in complex, long-term missions. To overcome this problem, MUAVs can use shift schedule with a possibility for free schedule to be served at an automatic replacement and charging station (ARCS). After visiting the ARCS, MUAVs can either use the same route every new duty cycle or change the route. The operation of a flying wireless network, consisting of five MUAVs and using one ARCS, is considered. The purpose of the flying wireless network is to organize the transmission of radiation monitoring data in the event of damage of the wired channel between a monitoring station and the crisis centre by creating: WiFi channel between the monitoring station and UAV of an aircraft type; LoRaWAN channel between AUAV and the crisis centre. The following assumptions take place: the UAV of an aircraft type has sufficient flight time to complete the mission; five MUAVs periodically visit the ARCS; the location of the MUAVs within the flying wireless network during each subsequent cycle may be changed. The problem of MUAV flight planning using the maximin criterion is formulated. It is shown that this problem can be transformed to the problem of finding the shortest path for each individual MUAV for load balancing between them. The stages of implementation of the method of load balancing between the MUAVs of the flying wireless network are considered. The method requires adjusting flights routes for the MUAVs between the ARCS and the flying wireless network for each duty cycle. An example of the proposed method application to adjust flights routes for each of the three duty cycles is given. Keywords: flying wireless network, load balancing, unmanned aerial vehicle, automatic replacement and charging station, one-dimensional array, ordered array, flight route

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“…• информации, получаемой из беспилотников, в частности при послеаварийном мониторинге (см., например, [22]).…”

Section: продолжение эксплуатации энергоблоков в сверхпроектный срокunclassified

Prospects of Using Big Data Technologies in Nuclear Energy of Ukraine

Yastrebenetskyi

Dybach

2019

Nucl. and Rad. Safe.

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Big data is a term used for a wide variety of large data that require high processing speed. Big data handling includes not only the data, but also data collection, transmission, storage, processing (conversion, calculation, analysis), visualization and use of information in various areas of human activities. The emergence of Big data is one of the steps to digitizing all information used in different spheres. In recent years, Big data are used in foreign countries in a number of industries, including nuclear energy. It can be assumed that the Big data use in the coming years may become the next revolutionary introduction of digital technologies for NPPs. The paper provides examples of using the Big data in various countries to create new units and improve operating units. The areas of Big data use in the operation of Ukrainian NPPs are as follows: - in intended creation of an industrial system for technical diagnostics of systems, structures and components of NPPs; - for improving activities on long-term operation of power units; - for improving safety becouse of using of information based on Big data: structured information on equipment failures and incidents at different NPPs stored in international and national databases; information obtained from drones, in particular in post-accident monitoring, etc.

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NPP Post-Accident Monitoring System Based on Unmanned Aircraft Vehicle: Concept, Design Principles

Cited by 10 publications

References 1 publication

Digital Image Representation by Atomic Functions: The Compression and Protection of Data for Edge Computing in IoT Systems

Digital Image Representation by Atomic Functions: The Compression and Protection of Data for Edge Computing in IoT Systems

Load Balancing Between Unmanned Aerial Vehicles of a Flying Wireless Network Using Automatic Replacement and Charging Stations

Prospects of Using Big Data Technologies in Nuclear Energy of Ukraine

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