Conference on Electronic Information Engineering and Data Processing最新文献_第3页

Simulation analysis and evaluation of the effect of jammer shielding aircraft 干扰机屏蔽飞机效果的仿真分析与评价

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682457

Canhui Lai, Gang Lei, Wei Luo, Yunshu Li

引用次数: 0

Evaluation and application of light pollution level based on multivariate linear method and entropy weight method 基于多元线性法和熵权法的光污染水平评价及应用

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682385

Linrui Ji, Xin Ai, Chenou Wang, Xinxin Jiang

引用次数: 0

Simplified evaluation method of measurement uncertainty of automatic testing system of twin-wheel side force coefficient 双轮侧力系数自动测试系统测量不确定度的简化评定方法

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682283

Jiacheng Cai, Bing Zhang, Lei Chen, Lu Liu

引用次数: 1

Research on risk identification and early warning technology of transmission line settlement in goaf 采空区输电线路沉降风险识别与预警技术研究

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682574

Mian Wang, Zhuoyan Liu, Chunhe Shen, Junkai Huang, Guanghui Xi

{"title":"Research on risk identification and early warning technology of transmission line settlement in goaf","authors":"Mian Wang, Zhuoyan Liu, Chunhe Shen, Junkai Huang, Guanghui Xi","doi":"10.1117/12.2682574","DOIUrl":"https://doi.org/10.1117/12.2682574","url":null,"abstract":"Under the action of its own weight and external forces, the goaf will further induce geological disasters such as ground subsidence and subsidence, resulting in operational risks for the transmission lines attached to the surface. In order to timely grasp the deformation and settlement of the transmission lines, early warning and corresponding measures should be taken. Therefore, it is necessary to carry out real-time identification and risk early warning strategy research on the settlement risk of transmission lines. In response to this problem, this paper first uses GNSS technology and double difference model to obtain real-time settlement. Then, the cumulative trend and rate of overall and uneven settlement of different terrain towers in goaf are analyzed. Finally, the empirical estimation method is used to design a three-level risk threshold and early warning strategy to achieve rapid risk identification and early warning. The conclusions of this study can provide real-time risk identification data and targeted early warning strategies for the power industry, to assist the lean management of the power industry, to avoid and reduce the occurrence of accidents.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125626575","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

Defect detection algorithm of lightweight chip based on improved YOLOv5s 基于改进YOLOv5s的轻量化芯片缺陷检测算法

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682400

Lei Chen, Keming Yao, Shaozhong Jiang, Zhongzhou Wang, Fuao Guo

引用次数: 0

Weighted k-core community search on heterogeneous information networks 异构信息网络的加权k核社区搜索

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682275

Dan Liu, Wei Peng

引用次数: 0

Research on radar servo identification system based on particle swarm optimization 基于粒子群优化的雷达伺服识别系统研究

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682419

Xuesong Xu, H. Lei, Junhui Rui, Zhengyi Huang

引用次数: 0

Water quality detection and purification system based on STM32 基于STM32的水质检测与净化系统

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682569

Jichao Yan, XiaoLi Hou, Weiquan Chen

引用次数: 0

Exploring load disaggregation method for industrial loads considering economy-climate-production factors based on clustering technologies 探索基于聚类技术的考虑经济气候生产因素的工业负荷分解方法

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682336

Yu Long, Wenjun Ruan, Kang Xie, Yuhang Sun, Siwei Li, Long Yu, Liang Yue, Chang Liu, Meimei Duan

{"title":"Exploring load disaggregation method for industrial loads considering economy-climate-production factors based on clustering technologies","authors":"Yu Long, Wenjun Ruan, Kang Xie, Yuhang Sun, Siwei Li, Long Yu, Liang Yue, Chang Liu, Meimei Duan","doi":"10.1117/12.2682336","DOIUrl":"https://doi.org/10.1117/12.2682336","url":null,"abstract":"Power demand response is a significant method to provide regulation resources for the power system by adjusting the operating power of equipment. To obtain the regulation potential of each equipment, the load disaggregation is necessary from a large number of the smart meter data. However, the existing disaggregation methods mainly focus on residential and commercial users with the similar and fixed equipment. The industrial user loads are various, which is affected by many factors, such as the climate. To solve the above problems, this paper proposes a load disaggregation method for industrial loads considering economy-climate-production factors based on clustering technologies. First, the main affecting factors of the industrial production are analyzed from three dimensions, including the production load, the non-production load and the security load. On this basis, data marking and clustering methods are proposed to classify the industrial load data. Subsequently, an industrial load disaggregation method is presented for obtaining each type of the load power based on the single variable method. Finally, the effectiveness of the proposed models and methods is illustrated by numerical studies.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"12 20","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132271816","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

Design of dynamic carbon emission reduction effect evaluation model for the whole life cycle of power grid 电网全生命周期动态碳减排效果评价模型设计

Conference on Electronic Information Engineering and Data Processing Pub Date : 2023-05-26 DOI: 10.1117/12.2682330

Ling Zhou, Xiong Li, Fangquan Wu, Na Long, Xing Liao

{"title":"Design of dynamic carbon emission reduction effect evaluation model for the whole life cycle of power grid","authors":"Ling Zhou, Xiong Li, Fangquan Wu, Na Long, Xing Liao","doi":"10.1117/12.2682330","DOIUrl":"https://doi.org/10.1117/12.2682330","url":null,"abstract":"Aiming at the problem that the power load demand and energy distribution are not balanced, leading to the continuous growth of carbon emissions and affecting the assessment effect of carbon emission reduction, a dynamic carbon emission reduction effect evaluation model for the whole life cycle of power grid is designed. The whole life cycle of power grid is analyzed and divided into fuel extraction cycle, power grid production cycle and waste recovery cycle. The wavelet denoising method is used to eliminate the noise in the carbon emission data, calculate the carbon emissions in different periods according to the carbon emission factor and the corresponding usage, determine the carbon emission reduction and carbon emission reduction rate based on the carbon emissions, and build a dynamic carbon emission reduction effect evaluation model based on this indicator, use the data collection part to collect the carbon emission data in the whole life cycle of the power grid in real time, and store it in the dynamic database, the evaluation results are displayed in the form of Web pages. The experimental results show that the carbon emission reduction and carbon emission reduction rate of the design model after carbon emission reduction are 1.1976 million tons and 16.48% respectively, and the evaluation accuracy is up to 98.19%, and the error rate under different noises is less than 0.18%, which proves that the model has good evaluation effect.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130307597","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