Symposium on Advances in Electrical, Electronics and Computer Engineering最新文献_第6页

Power grid equipment operation status monitoring system based on Internet of Things technology 基于物联网技术的电网设备运行状态监测系统

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680429

Zhanghuang Zhang, Jieyun Zheng, Zhuolin Chen

{"title":"Power grid equipment operation status monitoring system based on Internet of Things technology","authors":"Zhanghuang Zhang, Jieyun Zheng, Zhuolin Chen","doi":"10.1117/12.2680429","DOIUrl":"https://doi.org/10.1117/12.2680429","url":null,"abstract":"Microgrid construction and the industrial Internet of Things will be an important part of future economic development and industrial restructuring. Based on the current development status of the field, this paper sorts out the actual needs of the system in order to solve the traditional power equipment management mode that is due to man-made errors and omissions. The system can complete the connection of power equipment, and compare the parameters collected by each sensor with the actual value. The acquisition error meets the actual needs. The power equipment monitoring and management platform’s functional modules, which include a communication service module, an operation module, a database module, a monitor module and a data transmission module, can be used normally. The working flow is complicated. The system not only realizes the management of power equipment but also monitors its state parameters. The simulation experiment tests the basic measurement function of intelligent power monitoring. The accuracy test meets the expected requirements, which can realize the intelligent monitoring of the power grid equipment parameters, and can be promoted in the power system with high practical effect.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"503 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116328239","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

Research on the algorithm of 3D pose solving based on binocular vision 基于双目视觉的三维姿态求解算法研究

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680583

Jiaxin Wu, Han Ai, H. Zhang, Jianzhong Cao

{"title":"Research on the algorithm of 3D pose solving based on binocular vision","authors":"Jiaxin Wu, Han Ai, H. Zhang, Jianzhong Cao","doi":"10.1117/12.2680583","DOIUrl":"https://doi.org/10.1117/12.2680583","url":null,"abstract":"Due to the complex lighting environment in space, the surface coating material of the spacecraft is uneven and has strong reflection characteristics, resulting in the complex problem of extremely bright or extremely dark in the image under sunlight, and it is difficult to extract stable features. In addition, for the actual measurement system, the amount of data for image feature processing and image matching is large, which makes the speed of the key algorithm unable to meet the real-time nature of the application. Therefore, based on the above problems, this paper proposes a set of threedimensional measurement algorithms based on binocular vision, mainly has four parts, camera calibration, Image correction, stereo matching and pose solving. We use traditional image processing algorithm for satellite image, using M software for camera calibration, and the calibration results are further optimized and corrected, due to the requirements of real-time, based on ORB algorithm, the use of Fast algorithm for feature point extraction and descriptor calculation by Brief, and the polar constraint is fused for feature matching. Improve the robustness and real-time performance of the algorithm, and perform pose solving by rotating angle. Experiments show that the algorithm can quickly and accurately achieve three-dimensional pose measurement.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115256663","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

Application of artificial intelligence technology in real-time electricity price forecasting: window-based XGBoost 人工智能技术在实时电价预测中的应用:基于窗口的XGBoost

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680574

Dongwei Li, Wei-Yang You, Xiunai Wang

{"title":"Application of artificial intelligence technology in real-time electricity price forecasting: window-based XGBoost","authors":"Dongwei Li, Wei-Yang You, Xiunai Wang","doi":"10.1117/12.2680574","DOIUrl":"https://doi.org/10.1117/12.2680574","url":null,"abstract":"Building a new power system is an important measure taken by China to cope with climate change problems. Establishing a flexible and perfect electricity market and price mechanism is an important means to ensure the safe and stable operation of the power system. As one of the important electricity price mechanisms, the change in real-time electricity price (RTP) is a key factor in the operation of the electricity market, and each market participant can formulate a response strategy according to the RTP. However, the uncertain, stochastic, and fluctuant characteristics are definitely difficult problems for the RTP prediction. With the aim of solving this issue, this paper proposed a RTP prediction method based on a window-based XGBoost model. Through the input conversion of the proposed model, it can help to reduce the complexity and capture the autocorrelation effect of the RTP. The case study is conducted through the actual load data of a province in China and the superiority is proved by comparing with several state-of-art models. The result shows that the window-based XGBoost model applied in this paper can decrease the prediction error by 69.48%-95.67% and greatly enhance RTP's prediction performance.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114568242","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

A method of customizing GasP with logical effort 一种通过逻辑努力定制GasP的方法

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680431

Yan Wang, Xun Li, Tong Fu, Mingyang Zhou, Zhengbang Kang, Mingxiao Guan, Anping He

引用次数: 0

Cooperative optimization of power system based on demand response 基于需求响应的电力系统协同优化

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680113

Jincan Li, Leping Sun, Chengliang Zhu, Dan Wang, Bingyao Li

引用次数: 0

Measurement and modeling methods for broadband impedance characteristics of large-scale electrical equipment 大型电气设备宽带阻抗特性的测量与建模方法

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680513

Bowen Wan

{"title":"Measurement and modeling methods for broadband impedance characteristics of large-scale electrical equipment","authors":"Bowen Wan","doi":"10.1117/12.2680513","DOIUrl":"https://doi.org/10.1117/12.2680513","url":null,"abstract":"In order to build the broadband model of electrical equipment, it is necessary to measure the broadband impedance characteristics of the equipment. However, the large size of high-voltage electrical equipment requires long measurement leads to measure the broadband impedance characteristics. At present, there is a lack of effective and universal compensation measures, which leads to unacceptable measurement errors in high frequency band. In order to solve this problem, a method for measuring broadband impedance characteristics of large-scale electrical equipment is proposed. In this method, impedance analyzer is used as measuring equipment, and the coupling calculation model of the long leads over the earth is established by using the partial element equivalent circuit (PEEC). The two-port network parameters of the long leads measurement loop are obtained, and the network parameter matrix is used to compensate the influence of the measurement results by the long leads. A measurement experiment is carried out in the laboratory, and the accuracy of the measurement method is proved by comparing the results measured directly by short leads with those measured by compensated long leads. The measurement method can accurately measure the broadband impedance characteristics of large-scale electrical equipment in the range of megahertz.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114844783","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

Substation outdoor instrumentation detection algorithm based on improved YOLOv5 基于改进YOLOv5的变电站室外仪表检测算法

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680466

Xiaoqiang Fan, Yong Jiang

引用次数: 0

Differential protection method for EHV transmission line based on current traveling wave prediction 基于行波预测的超高压输电线路差动保护方法

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680594

Zhaohui Chenzh, Xiaobing Ding, Mingjun Xue, Hao Zhang

引用次数: 0

Fault location of flexible DC system based on BP neural network 基于BP神经网络的柔性直流系统故障定位

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680124

Shuang Liu, Sihuan Wang

引用次数: 0

Trajectory prediction combined with FairMOT for multi-object tracking 结合FairMOT进行多目标跟踪的轨迹预测

Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680105

Bao Liu, Zhi-ming Wang, Wenyan Chen, Jiaxuan Wang

{"title":"Trajectory prediction combined with FairMOT for multi-object tracking","authors":"Bao Liu, Zhi-ming Wang, Wenyan Chen, Jiaxuan Wang","doi":"10.1117/12.2680105","DOIUrl":"https://doi.org/10.1117/12.2680105","url":null,"abstract":"Aiming at the problems of ID switching and tracking performance degradation caused by frequent occlusion and similar appearance of the tracked objects in dense scenes, a multi-object tracking method named TPFairMOT based on trajectory prediction and FairMOT is proposed in this paper. In the trajectory prediction branch, the object position of the future frame is predicted by using the object bounding box of the past frame and the velocity information learning network parameters, which overcomes the prediction failure caused by the uncertain motion state after the object is occluded in the tracking process. Secondly, the joint learning framework is used to combine the trajectory prediction branch with the detection and re-identification branch, and the tracking error caused by the high similarity between multiple objects in the tracking process is solved by integrating the appearance features and motion features of the tracked objects. Finally, MOTChallenge benchmarks (IDF1, IDs, MOTA, MT, and ML) are introduced to evaluate TPFairMOT, and different trajectory prediction strategies (FairMOT_KF and TPFairMOT_RNN) are used on FairMOT and TPFairMOT for comparative analysis. It is proved that the accuracy and ID switching times of trajectory prediction in this paper are better than other strategies. In addition, TPFairMOT, TPFairMOT_RNN, and FairMOT were compared on the public data sets MOT16, MOT17, and MOT20. The results show that TPFairMOT reduces the number of ID switching when the object is occluded, maintains the long-term validity of the identity information, and demonstrate good anti-occlusion performance.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116591256","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