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Method. Algorithm and Scenarios of Using a Group of UAVs as Base Stations for a Group of Ground Mobile Agents

Method. Algorithm and Scenarios of Using a Group of UAVs as ...

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International Russian Automation Conference (RusAutoCon)

作者： Elena Jharko Mark Mamchenko Laboratory of Distributed Information and Control Systems V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences Moscow Russia

ISBN: (数字)9798350349818

ISBN: (纸本)9798350349825

The paper proposes a method, an algorithm and scenarios of the use of a group of unmanned aerial vehicles (UAVs) as base stations to provide radio communication for a group of ground mobile agents (GMAs) as part of heterogeneous dynamic technical systems (HDTSs) operating in an intelligent environment. The work gives the mathematical description of the problem of choosing sub-optimal (rational) composition and spatial distribution of the UAV s, and calculating the coverage range (radius) for DAV-DAV and DAV - GMA links respectively. The proposed algorithm allows forming the composition of the DAV group (iteratively) to ensure that the coverage for the GMAs when moving in a given region. The algorithm checks the expediency of moving the D A V s (or their operation in current positions), moves additional DAVs from the base or returns unused DAVs to the base (changes their state to inactive), if necessary. The main tasks to be performed by the HDTS (composed of the groups of DAVs and GMAs) have been determined. The paper proposes several scenarios for the use of the UAVs to ensure radio communications for ground mobile agents. The work offers the requirements to the developed solution as part of the security monitor of a HDTS, including the functionality, a set of target parameters, and the main events/possible failures that can occur during the mission

关键词： Base stations Graphical models Heuristic algorithms Mobile agents Autonomous aerial vehicles Security Vehicle dynamics Radio communication Monitoring Distribution functions

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Flexible Modeling System: Steam Generator Model

Flexible Modeling System: Steam Generator Model

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International Russian Automation Conference (RusAutoCon)

作者： Elena Jharko Laboratory of Distributed Information and Control Systems V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences Moscow Russia

The paper considers the factors stimulating the development of new, more efficient power unit control systems. A diagram of a flexible modeling system is presented with a breakdown into functional blocks corresponding to the systems of a power unit with a VVER-1000 type reactor. The paper presents a mathematical model of a steam generator, part of a flexible modeling system. The mathematical model describes the thermohydraulic state of steam generators and steam pipelines connecting them to the turbine. An algorithm for calculating the parameters of steam generators and steam pipelines at a new time step is presented. Verification of the presented model of the steam generator in the dynamic mode of the NPP power unit with a VVER-1000 reactor with the isolation valve of the steam generator at the stage of mastering the power of 75% was verified and showed good agreement between the calculated and experimental data.

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Intellectualized Operator information Support System for NPP: Expert systems and Dynamic Models

Intellectualized Operator Information Support System for NPP...

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International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

作者： Elena Jharko Kirill Chernyshov Ekaterina Abdulova Laboratory of Distributed Information Analytical and Control Systems V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences Moscow Russia Laboratory of Identification of Control Systems V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences Moscow Russia Laboratory of Security of Complex Systems V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences Moscow Russia

ISBN: (数字)9798350395013

ISBN: (纸本)9798350395020

The article discusses an approach that combines expert systems and dynamic models in an intellectualized operator information support system (IOISS) for nuclear power plant units. The main goal of this approach is to provide operators with the most complete and accurate information for the efficient management of power units (PU). The main functions of the IOISS of NPP PUs are highlighted, and a path is proposed for their full-scale implementation based on the use of predictive dynamic modeling of PU parameters and expert systems (ES). The use of predictive dynamic modeling makes it possible to predict the behavior of a power unit based on available data and calculate optimal control parameters. ES, in turn, provides expert knowledge and specialist experience, allowing operators to make informed decisions and respond to possible emergencies. The structure of the ES, which is part of the IOISS and includes modules for data analysis, decision-making, and information visualization, is considered. All these components work together to ensure the efficient and reliable operation of NPPs. This approach to IOISS is the basis for developing upper-level systems for instrumentation and control systems of NPPs. It can significantly improve the safety and efficiency of power units and simplify operators' decision-making process.

关键词： Instruments Decision making Process control Optimal control Predictive models Safety Reliability

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Adaptive matrix model for a crime forecasting task 3

Adaptive matrix model for a crime forecasting task

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3rd IEEE International Conference on Data Stream Mining and Processing, DSMP 2020

作者： Uzlov, Dmytro Popov, Sergiy Vlasov, Oleksii Bodyanskiy, Yevgeniy National Academy of the National Guard of Ukraine Kharkiv Ukraine Kharkiv National University of Radio Electronics Control Systems Reasearch Laboratory Kharkiv Ukraine National Police of Ukraine in Kharkiv Region Information and Analytical Support Department of the Direktorate Kharkiv Ukraine

ISBN: (纸本)9781728132143

In the police activities of any country, there are two major directions: identifying signs of crime preparation and preventing its commission (prediction), as well as crime prevention by eliminating the conditions for its commission (prevention). At the same time, various theories are explaining that the place and time of the crime occur at random, and when certain conditions are met for its commission, which depend on the type of crime and various factors of the objective side of the crime (place, time, mechanism of commission) and object of encroachment. Currently, a huge number of criminal events has been accumulated in the databases of law enforcement agencies over a long time (more than 20 years). These events occurred at a specific place (geolocation) and at a specific date and time. Considering a certain residential area as a closed system with processes taking place according to some laws, it can be assumed that criminal events also occur according to some hidden patterns. In modern science, some technologies enable identifying such hidden patterns in large data arrays - Data Mining. Identification of hidden patterns allows performing the function of predicting the commission of new criminal events in space and time. This article considers one of the technology approaches - Adaptive Matrix Model. As a result, we obtained a fairly simple and small model for crime prediction that produced promising experimental results. Ways to further improve accuracy are suggested. © 2020 IEEE.

关键词： Forecasting

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Intelligent Support systems for NPP Operators: Dynamic Modeling and Operational Diagnostics

Intelligent Support Systems for NPP Operators: Dynamic Model...

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International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

作者： Elena Jharko Kirill Chernyshov Laboratory of Distributed Information and Control Systems V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences Moscow Russia Laboratory of Identification of Control Systems V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences Moscow Russia

The efficiency of human-machine interaction is highly dependent on the quality of information support that the power unit (PU) operators receive from the control system in different operating modes of NPP PU. The paper shows the importance of intelligent support systems (ISS) for NPP operators to ensure the reliable operation of the NPP power unit. The most significant elements of the ISS for operators in terms of the diagnostic system are the block of dynamic modeling, which anticipates the course of technological processes, and the expert system. The paper analyzes the state of the problem of creating dynamic modeling systems, singles out a "three-step" approach to creating the predictive models of a technological process, and shows its shortcomings. Relationships between dynamic modeling and operational diagnostics (OD) are presented. A group of standard diagnostic systems and classes of problems of the solvable problems of ODs are considered. The implementation of the solution to the problem of diagnosing in the intelligent support system of the NPP operator, as well as functional diagrams of operational diagnostics, is presented. The proposed implementation of the tasks of operational diagnostics is used to create intelligent support systems for NPP operators.

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Digital Twins: Forecasting and Formation of Optimal control Programs for NPP Power Units

Digital Twins: Forecasting and Formation of Optimal Control ...

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International Russian Smart Industry Conference (SmartIndustryCon)

Industries, especially in the energy sector, are using digital twins to improve work efficiency and optimize operating modes. Digital twins have based on models that accurately describe the geometry, physical properties, behavior, and rules that characterize an object. The article presents an example of functional decentralization of digital twin models as a decomposition of an NPP power unit (PU) with a VVER-1000 reactor as a control object into a set of technological subsystems of functional groups. Approaches to the digital twins’ creation of NPP PU and the main directions for using digital twins based on dynamic models of a PU in advanced control systems for NPP power units are presented. Within the framework of the intelligent operator support system, a "three-stage" approach to the problem of forecasting the state of the NPP PU, based on digital twins, and the principles of forming the PU optimal control are proposed. The proposed approaches to creating digital twins are used to create intelligent support systems for operators.

关键词： Industries Geometry Optimal control Process control Reliability engineering Digital twins Personnel

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DIRECT DIGITAL CRISPR/CAS-ASSISTED ASSAY FOR ULTRASENSITIVE DETECTION OF PATHOGENS 26

DIRECT DIGITAL CRISPR/CAS-ASSISTED ASSAY FOR ULTRASENSITIVE ...

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26th International Conference on Miniaturized systems for Chemistry and Life Sciences, MicroTAS 2022

作者： Xia, Liping Yin, Juxin Zhuang, Jianjian Yin, Weihong Zou, Zheyu Mu, Ying Research Centre for Analytical Instrumentation Institute of Cyber-Systems and Control State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou China School of information and Electrical Engineering Zhejiang University City College Hangzhou China Affiliated Hangzhou First People's Hospital Zhejiang University School of Medicine Hangzhou China

ISBN: (纸本)9781733419048

Herein, we developed a Direct Digital Dual-crRNAs (3D) assay integrated on an adsorption-free self-priming microfluidic chip for ultrasensitive detection of pathogens. This 3D assay combined the advantages of rapid amplification of RPA, specific cleavage of Cas12a, accurate quantification of digital PCR, and point-of-care testing (POCT) of microfluidics, enabling accurate and reliable digital absolute quantification of Salmonella in POCT. Our method can provide a good linear relationship of Salmonella detection in the range from 2.58×101 to 2.58×104 cells/mL with a limit of detection ~2 cells/mL in 30 minutes. Moreover, the assay could directly detect Salmonella in milk without nucleic acid extraction. © 2022 MicroTAS 2022 - 26th International Conference on Miniaturized systems for Chemistry and Life Sciences. All rights reserved.

关键词： Salmonella

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Robot/UAV Indoor Visual SLAM in Smart Cities Based on Remote Data Processing

Robot/UAV Indoor Visual SLAM in Smart Cities Based on Remote...

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International Russian Smart Industry Conference (SmartIndustryCon)

作者： Elena Jharko Mark Mamchenko Sergey P. Khripunov Laboratory of Distributed Information and Control Systems V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences Moscow Russia Laboratory of Cyber-Physical Systems V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences Moscow Russia

Indoor navigation is a topical issue in the use of robotics and unmanned aerial vehicles (UAVs) in a smart city, especially in the absence/weak signals of satellite navigation. One of the promising solutions of these issues is the use of visual simultaneous localization and mapping (vSLAM) algorithms, and one or more remote data processing servers for localization and map construction of the robots and the UAVs. The paper analyzes the current state of remote vSLAM and gives the requirements of a promising similar framework for UAVs in a smart city. In general, it is possible to distinguish two approaches to remote vSLAM systems for robots/UAVs. The first one implies sending raw data from sensors (video stream) via wireless connection directly to a remote server, which can be used for cloud/fog/edge computing. The second approach involves data pre-processing on the robots/UAVs, with subsequent transmission of data to the remote cloud/fog/edge computing server for further processing, acquiring map keyframes and map updates. The considered approaches, algorithms and solutions are classified by the type and the number of servers used, the maximum number of robotic agents/UAVs, the presence of navigation data fusion, as well as the type of video sensor used. Based on the analysis of existing solutions and vSLAM classification, it is possible to form a set of requirements for promising vSLAM systems for indoor navigation of robots/UAVs, including their camera input, resolution, number of frames per second (FPS), bandwidth, support of wireless standards, channels, and protocols, multi-robot/multi-server support, and time consumption.

关键词： Wireless communication Wireless sensor networks Visualization Simultaneous localization and mapping Smart cities Indoor navigation Sensor fusion

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Aspects of Nuclear Power Plant Digital Decommissioning

Aspects of Nuclear Power Plant Digital Decommissioning

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Siberian Conference on control and Communications (SIBCON)

作者： Elena Jharko Roman Meshcheryakov Vitaly Promyslov Laboratory of Distributed Information and Control Systems V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences Moscow Russia Cyber-Physical Systems Laboratory V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences Moscow Russia

The paper considers a set of problems and trends related to the decommissioning of high-risk facilities, in particular nuclear power plants (NPP). Along with the traditional problems of ensuring nuclear and technological safety during the decommissioning of NPPs, new challenges have arisen related to ensuring cybersecurity. In accordance with the recommendations of regulatory documents, it is necessary to identify critical information assets at the design stage. The paper notes the need to create digital twins to develop technologies for decommissioning an object while ensuring its safety of all types. The paper discusses the areas of application of remote-control technologies and robotics during the decommissioning of nuclear power plants, and also highlights some of the problems of these technologies. The necessity of maintaining a knowledge base on the object, remote control of robots used for inspection and dismantling of the object, the use of artificial intelligence, ensuring cybersecurity, and the designing of digital twins is emphasized for the successful solution of the decommissioning problem.

关键词： Digital twin Knowledge based systems Process control Inspection Safety Computer crime Task analysis

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Rationales of holonic manufacturing systems in leather industry

Rationales of holonic manufacturing systems in leather indus...

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6th International Conference on Industrial Applications of Holonic and Multi-Agent systems, HoloMAS 2013

作者： GuţǍ, Sergiu-Adrian Dumitrache, Ioan McFarlane, Duncan Masood, Tariq Department of Automatic Control and Systems Engineering University Politehnica of Bucharest 313 Spl. Independentei RO-060042 Bucharest Romania Distributed Information and Automation Laboratory Institute for Manufacturing University of Cambridge 17 Charles Babbage Road Cambridge CB3 0FS United Kingdom

ISBN: (纸本)9783642400896

This paper presents an insight into leather manufacturing processes, depicting peculiarities and challenges faced by leather industry. An analysis of this industry reveals the need for a new approach to optimize the productivity of leather processing operations, ensure consistent quality of leather, mitigate the adverse health effects in tannery workers exposed to chemicals and comply with environmental regulation. Holonic manufacturing systems (HMS) paradigm represent a bottom-up distributed approach that provides stability, adaptability, efficient use of resources and a plug and operate functionality to the manufacturing system. A vision of how HMS might operate in a tannery is illustrated presenting the rationales behind its application in this industry. © 2013 Springer-Verlag.

关键词： Environmental regulations

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