2023 International Russian Smart Industry Conference (SmartIndustryCon)最新文献_第3页

Analysis of Theft of Housing and Communal Services Resources Based on Neural Network Technologies 基于神经网络技术的住房和公共服务资源盗窃分析

2023 International Russian Smart Industry Conference (SmartIndustryCon) Pub Date : 2023-03-27 DOI: 10.1109/SmartIndustryCon57312.2023.10110782

N. Dorofeev, M. Goryachev

{"title":"Analysis of Theft of Housing and Communal Services Resources Based on Neural Network Technologies","authors":"N. Dorofeev, M. Goryachev","doi":"10.1109/SmartIndustryCon57312.2023.10110782","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110782","url":null,"abstract":"This article discusses the main ways of manipulating intelligent metering devices for housing and communal services. The advantages and disadvantages of intelligent metering devices are considered. The analysis of articles containing modern algorithms and methods for combating theft of electricity is given. Articles on improving the reliability of intelligent metering devices based on neural network analysis are also considered. A proprietary algorithm for detecting theft of housing and communal services resources has been developed. The algorithm is based on an individual consumer model, the main feature of which is the mutual consumption of housing and communal services resources and consideration of internal and external factors. An experiment was also conducted to detect the theft of electricity. Based on real data, a sample of 800 consumption cases was modeled, 400 of which are normal consumption and 400 are theft of electricity. The theft of electricity was simulated by underestimating the meter readings. Then, with the help of a direct distribution neural network, clustering was done, cases of normal consumption were separated from theft. The optimal structure of the neural network was also determined.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115378651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Development of the Technique for Automated Tracing of Printed Circuit Board Interconnections of Electronic Devices 电子器件印制电路板互连自动跟踪技术的发展

2023 International Russian Smart Industry Conference (SmartIndustryCon) Pub Date : 2023-03-27 DOI: 10.1109/SmartIndustryCon57312.2023.10110767

A. A. Vagapov, R. O. Guzanov, I. V. Iakovlev

{"title":"The Development of the Technique for Automated Tracing of Printed Circuit Board Interconnections of Electronic Devices","authors":"A. A. Vagapov, R. O. Guzanov, I. V. Iakovlev","doi":"10.1109/SmartIndustryCon57312.2023.10110767","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110767","url":null,"abstract":"This article is focused on enhancing the effectiveness and quality of printed circuit board (PCB) interconnection tracing. PCB interconnection tracing is the process of designing and creating connections between electronic components on a PCB. One of the critical criteria for successful PCB interconnection tracing is ensuring electromagnetic compatibility, which refers to the ability of electronic devices to function correctly without interference from electromagnetic fields. The article proposes a solution to the problem of PCB interconnect tracing using a bionic algorithm that mimics the behavior of ants. The algorithm considers two key criteria: minimizing the total length of the connections and minimizing crosstalk. Crosstalk refers to the interference between adjacent traces on a PCB that can cause signal distortion or even complete failure. The primary objective of this paper is to develop an automated tracing technique for PCB interconnections using the ant algorithm. This technique will help electronic device designers create PCB layouts that meet electromagnetic compatibility requirements, minimize signal distortion, and optimize performance. By leveraging the power of bionic algorithms, such as the ant algorithm, this work aims to enhance the efficiency and effectiveness of PCB interconnection tracing. The proposed technique can potentially lead to the development of more reliable and high-performance electronic devices that are better suited to meet the demands of modern technology.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124268870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Signal Delay Study in the Adaptive Control Scheme with the Model in the Loop 环内模型自适应控制方案的信号延迟研究

2023 International Russian Smart Industry Conference (SmartIndustryCon) Pub Date : 2023-03-27 DOI: 10.1109/SmartIndustryCon57312.2023.10110724

G. Akhmedyanova, T. Pishchukhina, A. Pishchukhin

引用次数: 0

Computer Model of "Smart Grid" for Power Transmission Lines with Tree-Like Topology 树形输电线路“智能电网”计算机模型

2023 International Russian Smart Industry Conference (SmartIndustryCon) Pub Date : 2023-03-27 DOI: 10.1109/SmartIndustryCon57312.2023.10110719

A. Karpov, Dmitry Sarychev, S. Kalabanov

{"title":"Computer Model of \"Smart Grid\" for Power Transmission Lines with Tree-Like Topology","authors":"A. Karpov, Dmitry Sarychev, S. Kalabanov","doi":"10.1109/SmartIndustryCon57312.2023.10110719","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110719","url":null,"abstract":"The paper is devoted to the development of the reflectometry method of detection of line fault position (DLFP) for power transmission lines (PTL) with tree-like topology, which include 6-10 kV power lines, poorly studied but it is in important national economic interest. The main problems of using reflectometry-based DLFP are associated with the uncertainty of determining the fault location and a significant increase in noise levels due to re-reflections from side lines of topology. To solve these tasks, an original idea of a two-stage PTL diagnostic system with a tree-like structure is proposed. The paper presents the developed computer model of smart grid, which implements a two-stage diagnostic system. The results of modeling for PTL with different numbers of side lines are presented when simulating such damages as line breakage, interfacial short circuits and short circuit to the ground. The sensitivity of a two-stage method for detection of line fault position is shown. The results of computer modeling show that the reflectometry method in the case of using a two-stage DLFP system is applicable on branched power lines. It is shown that most of the damages associated with line breakage and short circuits of various types are confidently diagnosed. At the same time, approximately 20% of the damages cannot be localized by the proposed system. With an increase in the number of side lines, the accuracy of the DLFP drops sharply and the diagnosis of PTL with a number of side lines of more than three will require the use of more sensitive receiving and transmitting equipment.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121289264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Computational Schemes of a Noise-Resistant Coding for Autonomous Robotic Complexes 自主机器人复合体抗噪声编码的计算方法

2023 International Russian Smart Industry Conference (SmartIndustryCon) Pub Date : 2023-03-27 DOI: 10.1109/SmartIndustryCon57312.2023.10110831

E. Titenko, O. Dobroserdov, Dmitry P. Teterin

{"title":"The Computational Schemes of a Noise-Resistant Coding for Autonomous Robotic Complexes","authors":"E. Titenko, O. Dobroserdov, Dmitry P. Teterin","doi":"10.1109/SmartIndustryCon57312.2023.10110831","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110831","url":null,"abstract":"The article is shows to the approach to the hardware implementation of arithmetic operations in finite Gaul fields. Application area - control of \"short\" messages between mobile interacting robots. The goal is to reduce the hardware costs of functional units involved in error-correcting coding. The solution method is based on the use of a tabular transition to the logarithmic representation of the elements of the Galois field and the processing of logarithms of numbers. The article shows the features of the implementation of arithmetic operations in finite Galois fields. Calculation approaches in Galois fields were considered: iterative processing of polynomials, processing of field elements based on a programmable logic matrix, transition from numbers to powers, and processing of powers. The evaluation of the hardware and time complexity of the computational cores of the Galois processor is carried out. It has been established that the hardware implementation of the Galois processor core based on a table transformation has an advantage of 1.3 times for a practically significant capacity of the Galois field - 8 bits compared to the hardware implementation on a programmable logic matrix.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"258 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123076432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Study of Error of Determining the Phase Shift 相移测定误差的研究

2023 International Russian Smart Industry Conference (SmartIndustryCon) Pub Date : 2023-03-27 DOI: 10.1109/SmartIndustryCon57312.2023.10110737

A. Petrov, Dmitriy A. Kostiukov, P. Zvada

引用次数: 0

Approach to Efficient Task Allocation and Cost Minimization in Collaborative Robotic Systems 协作机器人系统中高效任务分配与成本最小化方法

2023 International Russian Smart Industry Conference (SmartIndustryCon) Pub Date : 2023-03-27 DOI: 10.1109/SmartIndustryCon57312.2023.10110790

Saniya B. Galina, R. Galin

{"title":"Approach to Efficient Task Allocation and Cost Minimization in Collaborative Robotic Systems","authors":"Saniya B. Galina, R. Galin","doi":"10.1109/SmartIndustryCon57312.2023.10110790","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110790","url":null,"abstract":"The paper considers the execution of a technological process by the participants of a mixed heterogeneous team of a collaborative robotic system. The operations of a technological process are described as a network model. The paper gives a qualitative comparative analysis of approaches, methods, and algorithms for task sequencing and allocation in collaborative robotic systems and teams. To contribute to the solution of the problem of assigning participants to the execution of the operations of the technological process, we developed a task allocation algorithm. It allows representing the conditions, dependencies and time of operations of the technological process in the form of a directed weighted graph, the vertices of which are temporal events, the beginning of one or more operations and the end of the previous (previous), and the weights of the edges – the time of the corresponding operations. The algorithm focuses on assigning operations based on the availability of the members of the robotic system and their efficiency. The algorithm performs a transition from the current timeline event to the nearest one and traverses the graph from the first vertex to the last vertex, minimizes the execution time of both the technological process, and its individual operations. The result of computational experiments performed in MATLAB simulation environment showed, that the use of the algorithm for a sequence of interdependent operations to be performed by a collaborative robotic system (team) can reduce the execution time of both the technological process and its individual operations.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"4 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114110247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

The Neural Network Controller for the Dry Low Emission Combustor of Gas-Turbine Power Plants 燃气轮机电厂干式低排放燃烧室的神经网络控制器

2023 International Russian Smart Industry Conference (SmartIndustryCon) Pub Date : 2023-03-27 DOI: 10.1109/SmartIndustryCon57312.2023.10110733

T. Kuznetsova, A. Sukharev

{"title":"The Neural Network Controller for the Dry Low Emission Combustor of Gas-Turbine Power Plants","authors":"T. Kuznetsova, A. Sukharev","doi":"10.1109/SmartIndustryCon57312.2023.10110733","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110733","url":null,"abstract":"The study is devoted to the development and testing of the harmful substances' emission controller for a gas turbine power plant with a capacity of 16 MW (GTP-16) based on the built-in neural network mathematical model of a dry low emission (DLE) combustor. The developed algorithms for the neural network controller of the emission of nitrogen oxides, carbon monoxide and pressure pulsations in the DLE-combustor flame tubes are implemented in MATLAB R2018b Simulink and integrated into the GTP-16 automatic control system (ACS) on the hardware/software platform PXI NI. The efficiency of the emissions controller was checked during bench tests on the GTP-16 simulator, with the DLE-combustor neural network model performing the functions of a virtual emissions sensor. The errors in the estimation of emissions and pressure pulsations that meet the accepted requirements are determined. The normal error distribution of the developed neural network model of the combustion chamber is proved. The resulting emission control quality corresponds to the desired one. The conclusion about the possibility and prospects of using neural networks for the development of an adaptive emission control system for DLE-combustors of the gas turbine power plants was made.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"572 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123164139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Image Preprocessing to Improve Object Recognition in Complex Weather Conditions 图像预处理提高复杂天气条件下的目标识别

2023 International Russian Smart Industry Conference (SmartIndustryCon) Pub Date : 2023-03-27 DOI: 10.1109/SmartIndustryCon57312.2023.10110822

Yaroslav Schegolikhin, M. Mitrokhin, Alexandr Eremin

{"title":"Image Preprocessing to Improve Object Recognition in Complex Weather Conditions","authors":"Yaroslav Schegolikhin, M. Mitrokhin, Alexandr Eremin","doi":"10.1109/SmartIndustryCon57312.2023.10110822","DOIUrl":"https://doi.org/10.1109/SmartIndustryCon57312.2023.10110822","url":null,"abstract":"Object recognition systems on images allow to automate of various routine processes. Vehicle detection systems are becoming widespread and are being incorporated into, \"smart city\" initiatives, and traffic control systems. Some applications of such systems are related to the impact of precipitation and other atmospheric phenomena that degrade image quality. The deterioration of image characteristics leads to a decrease in the efficiency of the entire automated system. The research issue is to develop a software solution to improve the efficiency of vehicle detection on images captured in difficult weather conditions. The neural network detector YOLOv5, trained on images collected by the authors from open sources, was used as an algorithm for the detection of cars on the images. Contrast correction and neural network methods were used as image enhancement algorithms. The performance of the YOLOv5 detector was compared on a test base of images preprocessed by image enhancement methods. It was found that the algorithms chosen for the study were indeed able to improve image quality by partially removing interference. Generative neural networks can introduce visual distortions and initially missing elements in images, so their application within the task’s framework is very limited. Image processing methods based on contrast correction allow for the improvement of vehicle detector performance on images with interference, but their application negatively affects performance on images without interference. On average, the performance of the detector decreases insignificantly when comparing images with and without interference.","PeriodicalId":157877,"journal":{"name":"2023 International Russian Smart Industry Conference (SmartIndustryCon)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131476465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Influence of External Magnetic Fields on Measurement Errors by Induction Current Transformers 外磁场对感应电流互感器测量误差的影响

2023 International Russian Smart Industry Conference (SmartIndustryCon) Pub Date : 2023-03-27 DOI: 10.1109/SmartIndustryCon57312.2023.10110808

V. Mikhaylov

引用次数: 0