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2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)最新文献

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Crack Inspection of Wooden Poles based on Unmanned Aerial Vehicles 基于无人机的木杆裂纹检测
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) Pub Date : 2022-07-29 DOI: 10.1109/ICPICS55264.2022.9873584
Chao Ma, Jie Zou, Dawei Lei, Xigui Ye, Shaofei Zang, Jianwei Ma
{"title":"Crack Inspection of Wooden Poles based on Unmanned Aerial Vehicles","authors":"Chao Ma, Jie Zou, Dawei Lei, Xigui Ye, Shaofei Zang, Jianwei Ma","doi":"10.1109/ICPICS55264.2022.9873584","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873584","url":null,"abstract":"Wooden poles are deployed for decades. To inspect the poles, visual inspection by human experts is generally adopted. However, poles are mostly deployed in areas with bad traffic conditions, it is hard to access them. Furthermore, human inspectors tend to get tired, which lowers the inspection accuracy. In this paper, we present an unmanned aerial vehicle (UAV) based system for automatic wooden pole inspection. First, we captured the pole images by using a drone with a high resolution camera, totally we captured 600 pole images. Second, we proposed a encoder-decoder based neural network that can segment poles and cracks with high accuracy. Finally, we designed a processing scheme that can give the location and direction of each crack with high accuracy.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114400159","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
Liquid Drip Detection in Power Plant based on Machine Vision 基于机器视觉的电厂液滴检测
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) Pub Date : 2022-07-29 DOI: 10.1109/ICPICS55264.2022.9873616
Lijie Wu, Ningning Zhang, Zhi-yuan An, Yuanshan Guo, Jiaojiao Dong
{"title":"Liquid Drip Detection in Power Plant based on Machine Vision","authors":"Lijie Wu, Ningning Zhang, Zhi-yuan An, Yuanshan Guo, Jiaojiao Dong","doi":"10.1109/ICPICS55264.2022.9873616","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873616","url":null,"abstract":"In the power industry, equipment that has been running for a long time will have poor airtight performance over time, and the liquid in the equipment or pipeline will leak out, causing drip leakage.With the rapid development of computer vision technology, especially the development of convolutional neural networks and target detection models, target detection algorithms based on deep learning are increasingly being used in the power industry. In this paper, the YOLOV3 algorithm based on the PyTorch framework is used to detect the falling process of the dripping liquid. However, because the real power plant environment cannot be inspected on the spot, it can only simulate the falling process of the dripping liquid in the power plant by itself. The leakage of the water from the household faucet is used to simulate the leakage of the power plant equipment, and the pictures of the water droplets and the video of the falling process of the water droplets are taken with the mobile phone, which are used for the production, training and target detection of the subsequent data sets. By taking pictures of water droplets and performing data augmentation, a data set of droplet pictures is constructed, and the labelImg software is used to label the droplets in the pictures. The data set has only one droplet classification. Then, the data set of the augmented dripping pictures is made into the PASCL VOC data set, and the YOLOv3 model is used for training. The MAP of the training result is 0.996. When using the model obtained after training to detect the dripping video, it can be accurately identified. And locate the dripping target in the video frame.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129509235","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
Identifying Key Components in Power Grid based on Multi-metric Fusion 基于多度量融合的电网关键部件识别
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) Pub Date : 2022-07-29 DOI: 10.1109/ICPICS55264.2022.9873750
X. Mao, W. Niu, Hua Huang, Huarong Zeng, Hao Li
{"title":"Identifying Key Components in Power Grid based on Multi-metric Fusion","authors":"X. Mao, W. Niu, Hua Huang, Huarong Zeng, Hao Li","doi":"10.1109/ICPICS55264.2022.9873750","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873750","url":null,"abstract":"The safe and stable operation of the power system is a critical support to maintain the security of the national science and technology industry and the steady operation of the social economy. Complex network theory abstracts power grid components and transmission lines into nodes and links in the network, respectively, providing a new perspective to explore the structure and operation characteristics of the power grid. Therefore, it is of great significance to apply complex network theory to the prevention and control of large-scale blackouts. In this paper, we propose an approach, IDEC, to Identifying key Components in a power grid based on multi-metric fusion. IDEC considers the network's topological characteristics and the electrical operating characteristics of the power system and introduces multiple metrics, such as degree centrality, one-order structural entropy, electrical betweenness centrality, and node contribution degree, to characterize the importance of components in the power grid, which are further combined together by AHP (Analytic Hierarchy Process) to characterize the importance of components overly. In the experiments, the IEEE-39 bus system is taken as a case study, and the results are compared with those in the literature. The results show that IDEC is superior to the approaches in the literature.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124211627","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
An IP Network Traffic Prediction Method based on ARIMA and N-BEATS 基于ARIMA和N-BEATS的IP网络流量预测方法
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) Pub Date : 2022-07-29 DOI: 10.1109/ICPICS55264.2022.9873564
Lijie Deng, Ke Ruan, Xun Chen, Xiaoying Huang, Yongqing Zhu, Weihao Yu
{"title":"An IP Network Traffic Prediction Method based on ARIMA and N-BEATS","authors":"Lijie Deng, Ke Ruan, Xun Chen, Xiaoying Huang, Yongqing Zhu, Weihao Yu","doi":"10.1109/ICPICS55264.2022.9873564","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873564","url":null,"abstract":"We proposed and validated a novel method for predicting IP network traffic in this paper. The IP network traffic was forecasted by employing a combination of ARIMA (Auto-Regressive Integrated Moving Average) model and NBEATS model. It was mainly divided into the following steps: (1) predict the network traffic based on ARIMA model and calculate the prediction residual; (2) predict residual values of ARIMA model by N-BEATS model; (3) get the sum of ARIMA traffic prediction and the residual value predicted by NBEATS model as the final result. This method was validated on IP network traffic data from 31 provinces in China and the prediction performance was appraised by three metrics, Mean Absolute Percentage Error (MAPE), Root Mean Square Error (RMSE) and Mean Absolute Error (MAE), respectively. The experimental outcome showed that the method was superior to the traditional statistical methods (ARIMA) and classic machine learning methods (N-BEATS, LSTM and Prophet), and improved the effect of IP network traffic prediction.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123620655","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: 1
Research on instantaneous off-peak degree and acceptance capacity of charging facilities 充电设施瞬时离峰度及接受能力研究
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) Pub Date : 2022-07-29 DOI: 10.1109/ICPICS55264.2022.9873738
Zhiyong Liu
{"title":"Research on instantaneous off-peak degree and acceptance capacity of charging facilities","authors":"Zhiyong Liu","doi":"10.1109/ICPICS55264.2022.9873738","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873738","url":null,"abstract":"Under the background of “carbon neutralization and carbon peak”, in order to alleviate the pressure of distribution network capacity expansion caused by large-scale electric vehicle access, this paper proposes a capacity evaluation method of distribution network receiving charging facilities considering load coincidence factors. Firstly, the calculation models of regional existing load and charging load are established. Secondly, an acceptance capacity evaluation method based on bipartite cyclic approximation method is proposed. Taking the full-time power flow calculation results as security constraints, and finally the maximum acceptance capacity is obtained. The influence of different load interactive characteristics on the acceptance capacity is evaluated by instantaneous off-peak degree, and the acceptance capacity of charging facilities under different distribution network scenarios is solved. It shows that the proposed method can improve the utilization of distribution network capacity resources and reduce unnecessary capacity expansion requirements.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116270867","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
Measures to Solve Repeated Tests of Ground Grid Conduction 解决地网导通重复试验的措施
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) Pub Date : 2022-07-29 DOI: 10.1109/ICPICS55264.2022.9873627
Zhenxing Gao, Chongpeng Guo, Xunyu Li, Jing Zou, Yajun Fan, Haifeng Du
{"title":"Measures to Solve Repeated Tests of Ground Grid Conduction","authors":"Zhenxing Gao, Chongpeng Guo, Xunyu Li, Jing Zou, Yajun Fan, Haifeng Du","doi":"10.1109/ICPICS55264.2022.9873627","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873627","url":null,"abstract":"The grounding down-conductor of electrical equipment is reliably connected to the grounding grid, which is the fundamental guarantee for the safe operation of electrical equipment and the safety of operators. The ground network continuity test can effectively check whether the connection points of the belt located in the soil are affected by external factors such as long-term moisture, and even contact corrosion, disconnection, loosening and other phenomena. The principle of the ground grid continuity test is based on the transformer zone as a reference point, and the continuity test is carried out on the equipment framework one by one, so as to find potential safety hazards such as ground grid rupture and loose belt. In this paper, a ground grid continuity test telemeter is developed, which is composed of a ground continuity host and a ground continuity controller. After on-site test investigation, it is determined that the telemeter can effectively improve the success rate of one test of the ground network continuity test, indicating that this device meets the design requirements and has practical application value.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116338785","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
Distributed fault recovery strategy and example analysis of large power grid based on 5G technology 基于5G技术的大电网分布式故障恢复策略及实例分析
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) Pub Date : 2022-07-29 DOI: 10.1109/ICPICS55264.2022.9873769
Li Zhongbin, Mo Zhengkun, Liu Jiaming, Han Xi, Chen Wenqin
{"title":"Distributed fault recovery strategy and example analysis of large power grid based on 5G technology","authors":"Li Zhongbin, Mo Zhengkun, Liu Jiaming, Han Xi, Chen Wenqin","doi":"10.1109/ICPICS55264.2022.9873769","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873769","url":null,"abstract":"a distributed fault recovery method for large-scale power grid with multiple power sources and multiple connections is proposed. This method fully considers the characteristics of 5G communication, the recovery process is simple, the number of information transmission is less, and the power supply of important load nodes can be restored first. For the proposed scheme, numerical examples are analyzed in different complex power grid scenarios, the urban power grid system simulation model is built to verify the feasibility of the recovery strategy, and the expected results are analyzed. According to the proposed distributed fault recovery method based on 5G communication, combined with the specific urban power grid system, the modular software design of the distributed fault recovery scheme is carried out.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125695066","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 Silicon Controlled Rectifiers in Low Power Circuits 可控硅整流器在低功率电路中的应用
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) Pub Date : 2022-07-29 DOI: 10.1109/ICPICS55264.2022.9873762
Jiarui Li, Shulong Wang, Yuhang Li, Jinbin Pan, Lanxin Ma, Zhao Yang, Chaoyong Mi
{"title":"Application of Silicon Controlled Rectifiers in Low Power Circuits","authors":"Jiarui Li, Shulong Wang, Yuhang Li, Jinbin Pan, Lanxin Ma, Zhao Yang, Chaoyong Mi","doi":"10.1109/ICPICS55264.2022.9873762","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873762","url":null,"abstract":"With the advancement of microelectronics technology, the resistance of the device itself to ESD (Electrostatic Discharge) is constantly weakened, so the study of ESD is of great significance. SCR (Silicon Controlled Rectifier) has the advantages of low on-resistance and strong protection ability, but its disadvantage is that the holding voltage is low and the trigger voltage is high. This paper deals with a new type of SCR, which is based on MLSCR (Modified Lateral SCR), with an NMOS embedded in the cathode and a shallow well embedded under the N-well and P-well (SP-SN-SCR). The new structure is modeled in sentaurus TCAD and tested in simulation. The test results show that, compared with the traditional structure, the holding voltage of the SP-SN-SCR is 4.9 V, the turn-on voltage is 5.8 V, and the secondary breakdown current is also large.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125747765","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
Tri-modality fusion imaging system for the electric power industry 电力工业三模态融合成像系统
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) Pub Date : 2022-07-29 DOI: 10.1109/ICPICS55264.2022.9873623
Xiaohan Lai, Zhiwei Deng, Jinxia Jiang, Yunye Wang, Zhengbo Chen, Yiyang Yao
{"title":"Tri-modality fusion imaging system for the electric power industry","authors":"Xiaohan Lai, Zhiwei Deng, Jinxia Jiang, Yunye Wang, Zhengbo Chen, Yiyang Yao","doi":"10.1109/ICPICS55264.2022.9873623","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873623","url":null,"abstract":"The tri-modality fusion imaging monitoring system is a challenging technique due to the long-standing problem of the observation and registration of high-dimensional data. With the increasing load of the power grid and expansion of construction scale, most of the existing traditional single sensor imaging techniques are difficult to diagnose system error comprehensively, which brings disregardful trouble to the safety of power equipment. This paper develops a new tri-modality fusion spectral imaging system for collecting ultraviolet-visible-infrared images. Specifically, we realize real-time synchronous acquisition for the same scene with a single piece of equipment. Simultaneously, the system can acquire information on the object’s temperature, discharge, and texture details, which drastically enhances the comprehensiveness of analysis for grid status diagnosing.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130128113","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 Fatigue Life Intelligent Control System of Deepwater Jacket Platform based on Digital Twin 基于数字孪生的深水导管架平台疲劳寿命智能控制系统研究
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) Pub Date : 2022-07-29 DOI: 10.1109/ICPICS55264.2022.9873582
Zhen Shi, Guoming Chen, G. Guan, He Dong
{"title":"Research on Fatigue Life Intelligent Control System of Deepwater Jacket Platform based on Digital Twin","authors":"Zhen Shi, Guoming Chen, G. Guan, He Dong","doi":"10.1109/ICPICS55264.2022.9873582","DOIUrl":"https://doi.org/10.1109/ICPICS55264.2022.9873582","url":null,"abstract":"With the improvement of the design and manufacturing level of jacket platforms, there is a breakthrough in the design, manufacturing, and installation of the platform in China. There are many rods of deep-water jacket platforms. If the manual operation and maintenance mode is continued, the maintenance cost is very expensive, and the safety and reliability of the platform are difficult to guarantee. Through the two-way data transmission between the physical layer and the model layer of the digital twin system, the virtual and real image comparison is realized to obtain the stress data results of dangerous nodes, realize the real-time stress state data analysis, early warning function, and fatigue life prediction of the platform, and use the three-dimensional data simulation visual effect expression to feedback the detection results to the on-site workers to ensure the safety of underwater facilities.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134520719","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
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