For the inspection of large-scale transmission towers, most of the traditional inspections are manual, which often have problems such as long working hours, harsher working environments, and the need for large amounts of manpower and material resources. With the development of UAV, and image processing technology, the inspection of transmission towers based on rotor UAVs has achieved great development. To meet the application requirements of overhead line inspection of distribution network, the use of UAV inspection technology is proposed. We built a model to optimize inspection and find a good inspection route for UAV visual inspection of transmission towers. The goal of this model is to maximize a function that incorporates the three performances of time of flight, image quality, and tower coverage. This paper uses Particle Pwarm Optimization algorithm based on UAV inspection of transmission towers to solve the problem. The experiment proves that the scheme proposed in this paper can well provide excellent flight routes for UAV inspection of large high voltage towers
{"title":"Drone path planning for 500KV transmission tower inspection","authors":"Zhengzheng Liu, Qiyue Xie","doi":"10.1117/12.2689805","DOIUrl":"https://doi.org/10.1117/12.2689805","url":null,"abstract":"For the inspection of large-scale transmission towers, most of the traditional inspections are manual, which often have problems such as long working hours, harsher working environments, and the need for large amounts of manpower and material resources. With the development of UAV, and image processing technology, the inspection of transmission towers based on rotor UAVs has achieved great development. To meet the application requirements of overhead line inspection of distribution network, the use of UAV inspection technology is proposed. We built a model to optimize inspection and find a good inspection route for UAV visual inspection of transmission towers. The goal of this model is to maximize a function that incorporates the three performances of time of flight, image quality, and tower coverage. This paper uses Particle Pwarm Optimization algorithm based on UAV inspection of transmission towers to solve the problem. The experiment proves that the scheme proposed in this paper can well provide excellent flight routes for UAV inspection of large high voltage towers","PeriodicalId":118234,"journal":{"name":"4th International Conference on Information Science, Electrical and Automation Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116289976","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}
In the heterogeneous ultra-dense 5G network environment, a more flexible network selection algorithm is needed to improve user quality of service (QoS) due to the intensive network deployment and the diversity of user terminal business types. In this paper, a network selection algorithm based on fuzzy-gray ideal solution is proposed, and the decision parameters are dynamically selected according to service QoS requirements. At the same time, without fuzzy reasoning, a gray ideal solution network scoring method based on threshold judgment is designed by combining gray correlation with ideal sorting algorithm. Simulation results show that the proposed algorithm can effectively reduce switching delay and improve the accuracy of network selection.
{"title":"A heterogeneous ultra-dense 5G network selection algorithm based on fuzzy-gray ideal solution","authors":"Binhan Zhu, Jianli Xie, Cuiran Li","doi":"10.1117/12.2689568","DOIUrl":"https://doi.org/10.1117/12.2689568","url":null,"abstract":"In the heterogeneous ultra-dense 5G network environment, a more flexible network selection algorithm is needed to improve user quality of service (QoS) due to the intensive network deployment and the diversity of user terminal business types. In this paper, a network selection algorithm based on fuzzy-gray ideal solution is proposed, and the decision parameters are dynamically selected according to service QoS requirements. At the same time, without fuzzy reasoning, a gray ideal solution network scoring method based on threshold judgment is designed by combining gray correlation with ideal sorting algorithm. Simulation results show that the proposed algorithm can effectively reduce switching delay and improve the accuracy of network selection.","PeriodicalId":118234,"journal":{"name":"4th International Conference on Information Science, Electrical and Automation Engineering","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114827719","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}
Wangling He, Jianben Liu, Yemao Zhang, Hongyu Wei, Yangxuan Zhou, Yinlu Zhang, B. Wan
With the rapid development of UHV DC transmission projects, a large number of transmission lines need to cross high altitude areas. The reduction of corona inception field strength in high altitude areas makes corona discharge more intense. The resulting electromagnetic environment problems such as audible noise and radio interference are one of the key factors restricting the development of UHVDC transmission projects. In order to study the influence of altitude on the corona effect of negative conductor, four different altitude points in the range of 1120m-4320m were tested by using mobile small corona cage. The current pulse, audible noise and radio interference level of 0.8mm diameter fine copper conductor were collected. Through the analysis of the experimental data, the following conclusions are obtained: with the increase of altitude, the amplitude and number of current pulses increase. The audible noise and radio interference levels increase with the increase of altitude. The conclusions obtained in this paper have certain reference significance for the control of electromagnetic environment of UHVDC transmission project.
{"title":"Study on negative corona characteristics at different altitudes","authors":"Wangling He, Jianben Liu, Yemao Zhang, Hongyu Wei, Yangxuan Zhou, Yinlu Zhang, B. Wan","doi":"10.1117/12.2689467","DOIUrl":"https://doi.org/10.1117/12.2689467","url":null,"abstract":"With the rapid development of UHV DC transmission projects, a large number of transmission lines need to cross high altitude areas. The reduction of corona inception field strength in high altitude areas makes corona discharge more intense. The resulting electromagnetic environment problems such as audible noise and radio interference are one of the key factors restricting the development of UHVDC transmission projects. In order to study the influence of altitude on the corona effect of negative conductor, four different altitude points in the range of 1120m-4320m were tested by using mobile small corona cage. The current pulse, audible noise and radio interference level of 0.8mm diameter fine copper conductor were collected. Through the analysis of the experimental data, the following conclusions are obtained: with the increase of altitude, the amplitude and number of current pulses increase. The audible noise and radio interference levels increase with the increase of altitude. The conclusions obtained in this paper have certain reference significance for the control of electromagnetic environment of UHVDC transmission project.","PeriodicalId":118234,"journal":{"name":"4th International Conference on Information Science, Electrical and Automation Engineering","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114842997","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}
The wide variety of 5G multi-scenario hybrid power data leads to the problems of poor encryption security and high time cost in traditional data encryption methods. To ensure the 5G network security of power data, a hybrid 5G classified and hierarchical electric power data encryption method in cloud storage with multiple features is proposed. By collecting multi-source power data information in cloud storage space and pre-processing it, multiple features in the data can be extracted and fused, and different types of data will be encrypted. SM4 is used to encrypt the data transmitted by the acquisition system, and the corresponding ciphertext is generated. Based on the feature fusion results of power data, the classification and grading of power data are realized. Simulation results show that encrypting and protecting power data through the proposed method can effectively reduce memory consumption and has better practicability in the actual situation of resource efficiency.
{"title":"5G network security and data encryption for hybrid power service scenarios","authors":"Feifan Di, Wenbing Lu","doi":"10.1117/12.2689476","DOIUrl":"https://doi.org/10.1117/12.2689476","url":null,"abstract":"The wide variety of 5G multi-scenario hybrid power data leads to the problems of poor encryption security and high time cost in traditional data encryption methods. To ensure the 5G network security of power data, a hybrid 5G classified and hierarchical electric power data encryption method in cloud storage with multiple features is proposed. By collecting multi-source power data information in cloud storage space and pre-processing it, multiple features in the data can be extracted and fused, and different types of data will be encrypted. SM4 is used to encrypt the data transmitted by the acquisition system, and the corresponding ciphertext is generated. Based on the feature fusion results of power data, the classification and grading of power data are realized. Simulation results show that encrypting and protecting power data through the proposed method can effectively reduce memory consumption and has better practicability in the actual situation of resource efficiency.","PeriodicalId":118234,"journal":{"name":"4th International Conference on Information Science, Electrical and Automation Engineering","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125455584","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}
Short-term power load forecasting plays an important role in power system dispatching. To improve forecasting accuracy, a short-term load forecasting model based on stacking ensemble learning was proposed. Firstly, add effective multi-feature variables, and establishes a Stacking ensemble learning model for the load data and feature, which was ensembles by Light Gradient Boosting Machine (abbr. LightGBM) and eXtreme Gradient Boosting (abbr. XGBoost) for prediction. Finally, the comparison and experimental results show that the forecasting error of the proposed model is less than that of the comparative model.
{"title":"Multi-feature short-term load forecasting based on stacking ensemble learning","authors":"Xing He, Chengbo Yu, Shibin Wang, Wei Zhang, Jia Chen","doi":"10.1117/12.2689388","DOIUrl":"https://doi.org/10.1117/12.2689388","url":null,"abstract":"Short-term power load forecasting plays an important role in power system dispatching. To improve forecasting accuracy, a short-term load forecasting model based on stacking ensemble learning was proposed. Firstly, add effective multi-feature variables, and establishes a Stacking ensemble learning model for the load data and feature, which was ensembles by Light Gradient Boosting Machine (abbr. LightGBM) and eXtreme Gradient Boosting (abbr. XGBoost) for prediction. Finally, the comparison and experimental results show that the forecasting error of the proposed model is less than that of the comparative model.","PeriodicalId":118234,"journal":{"name":"4th International Conference on Information Science, Electrical and Automation Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125858638","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}
With the rapid development of information technology, biometrics has been widely used in various fields of life.Among them, finger vein recognition technology, as a new technology in the field of biometrics, has been widely concerned because of its advantages of good security, high recognition accuracy and low requirements for acquisition conditions.In view of the low accuracy of the existing finger vein recognition and the influence of many factors such as finger rotation, translation and inaccurate placement, this paper optimizes the finger vein authentication technology by improving the algorithm: using three-dimensional vein authentication research, the finger vein pattern is obtained from four directions, which effectively overcomes the problem of incomplete pattern extraction.The contour of finger vein is extended to make better use of and transfer the shallow texture features and improve the recognition speed.The multi-feature fusion matching algorithm is used to greatly improve the robustness of the a lgorithm.According to the comparison of experimental data, the finger vein recognition technology algorithm in this paper has certain advantages and good application prospect.
{"title":"Research on algorithm of finger vein recognition technology for scene demand application","authors":"Zhou Zhou, En Guo, Lintao Yang, Shengkai Zhu","doi":"10.1117/12.2689642","DOIUrl":"https://doi.org/10.1117/12.2689642","url":null,"abstract":"With the rapid development of information technology, biometrics has been widely used in various fields of life.Among them, finger vein recognition technology, as a new technology in the field of biometrics, has been widely concerned because of its advantages of good security, high recognition accuracy and low requirements for acquisition conditions.In view of the low accuracy of the existing finger vein recognition and the influence of many factors such as finger rotation, translation and inaccurate placement, this paper optimizes the finger vein authentication technology by improving the algorithm: using three-dimensional vein authentication research, the finger vein pattern is obtained from four directions, which effectively overcomes the problem of incomplete pattern extraction.The contour of finger vein is extended to make better use of and transfer the shallow texture features and improve the recognition speed.The multi-feature fusion matching algorithm is used to greatly improve the robustness of the a lgorithm.According to the comparison of experimental data, the finger vein recognition technology algorithm in this paper has certain advantages and good application prospect.","PeriodicalId":118234,"journal":{"name":"4th International Conference on Information Science, Electrical and Automation Engineering","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121790527","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}
Zihui Guo, Jun Wu, Wenshan Xiao, Yihui Chen, Wenxin Huang, Zichen Liu
In the environment of high speed development of large user industries, in order to ensure safe and reliable access to the grid for industrial large users, this paper proposes an industrial large user access planning model based on access risk. First, the traditional economic and security indicators are replaced by risk indicators, and the risk indicator system is constructed by considering the uncertainty of large user access capacity. Then, the CRITIC method is used to assign weights to the indicators of comprehensive risk, and the artificial bee colony algorithm is used to find the optimal access node as the target, so as to complete the site selection and access work of industrial large users. Finally, the effectiveness of the proposed method is verified by using the IEEE-69 node system as an example.
{"title":"Access planning method for industrial large users based on access risk","authors":"Zihui Guo, Jun Wu, Wenshan Xiao, Yihui Chen, Wenxin Huang, Zichen Liu","doi":"10.1117/12.2689368","DOIUrl":"https://doi.org/10.1117/12.2689368","url":null,"abstract":"In the environment of high speed development of large user industries, in order to ensure safe and reliable access to the grid for industrial large users, this paper proposes an industrial large user access planning model based on access risk. First, the traditional economic and security indicators are replaced by risk indicators, and the risk indicator system is constructed by considering the uncertainty of large user access capacity. Then, the CRITIC method is used to assign weights to the indicators of comprehensive risk, and the artificial bee colony algorithm is used to find the optimal access node as the target, so as to complete the site selection and access work of industrial large users. Finally, the effectiveness of the proposed method is verified by using the IEEE-69 node system as an example.","PeriodicalId":118234,"journal":{"name":"4th International Conference on Information Science, Electrical and Automation Engineering","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121825186","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}
ViBe (Visual background extractor) algorithm is a motion target detection algorithm by background modeling, uses domain pixels for background modeling and updates the background model in real time. However, the traditional ViBe algorithm will produce disadvantages such as ghosting and shadow part false detection. This paper solves the problem of ghosting by image fusion mechanism, through the characteristics of the shadow itself, using the shadow part of the three-channel variance value for shadow detection and eliminate the shadow. The experiments show that our algorithm can quickly and effectively solve the ghost and shadow problems in the ViBe algorithm
{"title":"ViBe algorithm based on background fusion and channel calculation","authors":"Han He, Zuofeng Zhou, Qingquan Wu","doi":"10.1117/12.2689531","DOIUrl":"https://doi.org/10.1117/12.2689531","url":null,"abstract":"ViBe (Visual background extractor) algorithm is a motion target detection algorithm by background modeling, uses domain pixels for background modeling and updates the background model in real time. However, the traditional ViBe algorithm will produce disadvantages such as ghosting and shadow part false detection. This paper solves the problem of ghosting by image fusion mechanism, through the characteristics of the shadow itself, using the shadow part of the three-channel variance value for shadow detection and eliminate the shadow. The experiments show that our algorithm can quickly and effectively solve the ghost and shadow problems in the ViBe algorithm","PeriodicalId":118234,"journal":{"name":"4th International Conference on Information Science, Electrical and Automation Engineering","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123265341","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}
The piecewise linear mathematical model of the current-mode-controlled Buck-Boost (CMCBB) converter in continuous current mode (CCM) is established. By changing the value of reference current in the circuit and using bifurcation diagram, the path of the system to chaos through period-doubling bifurcation is revealed. In this paper, a cubic variance negative feedback chaos controller (CVNFCC) is introduced to guide the chaotic motion to the period-1 orbit successfully. Compared with the resonant parametric perturbation chaotic controller (RPPCC), it is proved that the chaotic controller is simple in design and easy to implement. In addition, the influence of the external coefficient H of the CVNFCC on the chaos control effect is deeply studied in this paper. Different external coefficients are selected for analysis. According to the analysis results, it is concluded that the larger the external coefficient is, the better the effect of chaos control is.
{"title":"Cubic variance negative feedback chaos control for the buck-boost converter","authors":"Yixiang Jiang, Ningzhou Li, Xiaojuan Wei","doi":"10.1117/12.2689539","DOIUrl":"https://doi.org/10.1117/12.2689539","url":null,"abstract":"The piecewise linear mathematical model of the current-mode-controlled Buck-Boost (CMCBB) converter in continuous current mode (CCM) is established. By changing the value of reference current in the circuit and using bifurcation diagram, the path of the system to chaos through period-doubling bifurcation is revealed. In this paper, a cubic variance negative feedback chaos controller (CVNFCC) is introduced to guide the chaotic motion to the period-1 orbit successfully. Compared with the resonant parametric perturbation chaotic controller (RPPCC), it is proved that the chaotic controller is simple in design and easy to implement. In addition, the influence of the external coefficient H of the CVNFCC on the chaos control effect is deeply studied in this paper. Different external coefficients are selected for analysis. According to the analysis results, it is concluded that the larger the external coefficient is, the better the effect of chaos control is.","PeriodicalId":118234,"journal":{"name":"4th International Conference on Information Science, Electrical and Automation Engineering","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134084284","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}
In this paper, a phase selection method for classifying ten types of short-circuit faults in nuclear power plant is proposed. This method can quickly and accurately realize the short-circuit faults phase selection of nuclear power plant. Different from the conventional phase-mode transformation to the unmeasurable current fault components as the data source, the current fault components of measurable nodes herein as a data source. First of all, the amplitude and phase relationship between the current fault components at the measurable nodes and the unmeasurable current fault components at the fault points are compared by simulation. Secondly, the basis for phase selection is obtained by analyzing the boundary conditions of various short-circuit faults. Thirdly, the adverse effect of the noise of the measurable current fault component on the accuracy of fault selection is eliminated by Fourier transform, and the accuracy of fault phase selection is improved. In this paper, the MATLAB simulation verification is carried out through the IEEE13 nodes test feeder, which can well realize the short-circuit faults phase selection of the nuclear power plant. This method takes the current fault components at measurable nodes as the data source and can be applied in the actual nuclear power plant of power systems.
{"title":"Fault diagnosis of nuclear power plant based on phase-mode transformation approach","authors":"Biao Li, Haiqiang Liu","doi":"10.1117/12.2689898","DOIUrl":"https://doi.org/10.1117/12.2689898","url":null,"abstract":"In this paper, a phase selection method for classifying ten types of short-circuit faults in nuclear power plant is proposed. This method can quickly and accurately realize the short-circuit faults phase selection of nuclear power plant. Different from the conventional phase-mode transformation to the unmeasurable current fault components as the data source, the current fault components of measurable nodes herein as a data source. First of all, the amplitude and phase relationship between the current fault components at the measurable nodes and the unmeasurable current fault components at the fault points are compared by simulation. Secondly, the basis for phase selection is obtained by analyzing the boundary conditions of various short-circuit faults. Thirdly, the adverse effect of the noise of the measurable current fault component on the accuracy of fault selection is eliminated by Fourier transform, and the accuracy of fault phase selection is improved. In this paper, the MATLAB simulation verification is carried out through the IEEE13 nodes test feeder, which can well realize the short-circuit faults phase selection of the nuclear power plant. This method takes the current fault components at measurable nodes as the data source and can be applied in the actual nuclear power plant of power systems.","PeriodicalId":118234,"journal":{"name":"4th International Conference on Information Science, Electrical and Automation Engineering","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134298493","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}
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