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Research on Intelligent Identification Method of Power Equipment Based on Deep Learning 1

引用

Annual International Conference on 3D Imaging Technology, IC3DIT 2019

作者： He, Zhimin Peng, Lin Xu, Min Wang, Gang Yu, Hai Bao, Xingchuan Hou, Zhansheng Global Energy Interconnection Research Institute Nanri Road 8 Nanjing210003 China State Grid Key Laboratory of Information & Network Security Beiqijia Beijing100000 China

ISBN: (数字)9789811538636

ISBN: (纸本)9789811538629

After investigation and analysis, this paper studies deep learning to solve the automatic analysis and identification of massive unstructured media data in the power system. In terms of feature extraction, based on the Alexnet model, two independent CNN models are proposed to extract the characteristics of power equipment. In terms of recognition algorithm, the advantages of traditional machine learning methods are combined with the advantages of random forests. Intelligent identification algorithm for power equipment combined with CNN. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Decision trees

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Design and implementation of augmented reality cloud platform system for 3D entity objects 8

Design and implementation of augmented reality cloud platfor...

引用

8th International Congress of information and Communication Technology, ICICT 2018

作者： He, Zhimin Peng, Lin Han, Haiyun Xu, Min Wang, Gang Bao, Xingchuan Yu, Hai Hou, Zhansheng Wang, He Zhu, Liang Zhang, Zehao Global Energy Interconnection Research Institute Nanri Road 8 Nanjing210003 China State Grid Key Laboratory of Information and Network Security Beiqijia Beijing100000 China

This project is about design and implementation of Augmented Reality cloud recognition power platform for 3D Entity Objects. Typical power operations include equipment inspection, equipment maintenance, emergency repair, reverse brake operation, line operation and so on. Combining with the characteristics of electric power operation site, to improve the on-site operation mode, through the interactive collaboration such as terminal multidimensional exhibition, backstage data fusion, and custom services, the clouds recognition system will provide grid on-site an automatic and intelligent new solution based on AR. © 2018 The Authors. Published by Elsevier Ltd.

关键词： Augmented reality

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Survey on Video information Superimposition and Interaction Method Oriented to Disaster Knowledge of Power grid 4th

Survey on Video Information Superimposition and Interaction ...

引用

4th International Conference on Wireless Communications and Applications, ICWCA 2020

作者： He, Zhimin Peng, Lin Xu, Min Wang, Gang Yu, Hai Bao, Xingchuan Hou, Zhansheng Wang, He Zhu, Liang Global Energy Interconnection Research Institute Nanri Road 8 Nanjing210003 China State Grid Key Laboratory of Information and Network Security Beiqijia Beijing100000 China

ISBN: (纸本)9789811651670

After investigation and analysis, this work adopts a variety of feature fusion methods, based on the business characteristics of power grid equipment, to carry out video information superimposition and interactive technology research. Aiming at the noise characteristics of various power equipment such as power field transformers, it studies the noise reduction of power field audio collection. key technology;using feature classification-based moving target detection and classification-based moving target tracking technology and continuous learning technology for tracking targets to achieve continuous tracking of power equipment components;based on image vector icon labeling and image overlay technology to achieve map video overlay of textual guidance information. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Audio acoustics

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Research on data security sharing mechanism of power internet of things based on blockchain 9

Research on data security sharing mechanism of power interne...

引用

9th IEEE Joint International information Technology and Artificial Intelligence Conference, ITAIC 2020

作者： Yang, Huiting Bai, Yunxiao Zou, Zhenwan Zhang, Qiang Wang, Bin Yang, Ruxia State Grid Xinjiang Electric Power Research Institute Urumqi China Global Energy Interconnection Research Institute Co. Ltd Nanjing China State Grid Key Laboratory of Information and Network Security Nanjing China

The rapid growth of power Internet of Things devices has led to traditional data security sharing mechanisms that are no longer suitable for attribute and permission management of massive devices. In response to this problem, this article proposes a blockchain-based data security sharing mechanism for the power Internet of Things, which reduces the risk of data leakage through decentralization in the architecture and promotes the integration of multiple information and methods. © 2020 IEEE.

关键词： Internet of things

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Research on Identification Method of Sensitive Data in Power System 3rd

Research on Identification Method of Sensitive Data in Power...

引用

3rd International Conference on Big Data and security, ICBDS 2021

作者： Yu, Pengfei Wang, Danni Zhang, Shijun Global Energy Interconnection Research Institute Co. Ltd Nanjing210000 China State Grid Key Laboratory of Information & Network Security Nanjing210003 China State Grid Liaoning Information & Communication Company Shenyang110000 China State Grid Jibei Information & Telecommunication Company Beijing100000 China

ISBN: (纸本)9789811908514

The power system equipment is currently facing more serious risk and threat of data leakage. The online monitoring of power transmission lines, the complexity of power consumption information collection methods and the uncontrollable operating environment make the business data of power system more prone to data leakage. On account of this, this paper firstly analyses the risk of sensitive data in power system, then studies the identification process of sensitive data in power system. The architecture and functional composition of sensitive data identification system for power system are proposed. Finally, the implementation process of sensitive data protection is given. © 2022, Springer Nature Singapore Pte Ltd.

关键词： Sensitive data

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Research on Virtual 3D Remote Sensing Technology of Power grid Station Based on 2D Vision 5

Research on Virtual 3D Remote Sensing Technology of Power Gr...

引用

5th International Conference on information Technologies and Electrical Engineering, ICITEE 2022

作者： Yu, Hai Tang, Shiyang Peng, Lin Yu, Zhen Qian, Kun School of Automation Southeast University Jiangsu Nanjing210096 China Power Grid Digitization Technology Research Institute State Grid Smart Grid Research Institute Jiangsu Nanjing210003 China State Grid Key Laboratory of Information & Network Security Nanjing210003 China

ISBN: (纸本)9781450396806

Aiming at the production safety management and control problems of substations, the digital twin 3D volume of substations is constructed based on 3D twinning technology, and the 2D/3D space fusion positioning perception technology based on existing multi-band surveillance cameras is studied. The automatic safety risk monitoring algorithm of common monitoring equipment, such as the automatic safety risk monitoring algorithm, realizes the high-precision perception analysis of the three-dimensional space of personnel/equipment in the substation, and can be applied to the safety management and control of personnel, equipment and perimeter of the substation, and improves the safety management level of the power grid. © 2022 ACM.

关键词： Risk assessment

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The Cross-Domain Identity Authentication Scheme Has no Trusted Authentication Center in the Cloud Environment 7th

The Cross-Domain Identity Authentication Scheme Has no Trust...

引用

7th International Conference on Artificial Intelligence and security, ICAIS 2021

作者： Zhang, Mingming Mao, Jiaming Dai, Zaojian Li, Yong Zhang, Mingxuan Fan, Lei Xu, Liangjie Hu, Jun Wang, Anqi Information and Telecommunication Branch State Grid Jiangsu Electric Power Co. Ltd. Nanjing Jiangsu210008 China State Grid Key Laboratory of Information and Network Security Institute of Information and Communication Global Energy Interconnection Research Institute Nanjing Jiangsu210003 China

ISBN: (纸本)9783030786205

This paper analyzes the existing problems of cross-domain authentication models and proposes a new cross-domain authentication model because there is no trusted authentication center in the cloud environment. The model is based on the certificateless public-key cryptosystem. It takes advantage of the transformability of heavy signature;A resigned proxy is introduced between two different domains for identity transformation. The authentication work is mainly concentrated in the key generation center KA and Proxy in different domains to reduce information interaction and computation between users and cloud service providers. At the same time, this message’s identity information is added to each request message of the user, and check the identification information in the received reply message to confirm whether it is a reply to the application message. This method can prevent malicious attacks and improve security. The results show that the scheme satisfies key security, message unforgeability, and communication information confidentiality. © 2021, Springer Nature Switzerland AG.

关键词： Authentication

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An efficient vulnerability scanning scheme of smart power grid based on hybrid scanning method

An efficient vulnerability scanning scheme of smart power gr...

引用

2020 International Conference on Smart grid and Energy Engineering, SGEE 2020

作者： Wang, Qi Zhang, Xiaojian Yao, Qigui Global Energy Interconnection Research Institute Co. Ltd Nanjing Jiangsu210003 China State Grid Key Laboratory of Information and Network Security Nanjing Jiangsu210003 China

As one kind of the industrial control networks, the increasing complexity of the advancing smart grid makes the network security risks greatly increased. Thus, it is necessary to ensure the safety of system. This paper proposed an efficient and low-cost comprehensive vulnerability scanning scheme. Considering the idea of non-intrusive detection without additional flow, the passive detection is proposed associated with PROFINET real-time protocol used in ICS. To reduce the redundant and save resource, fusion detection and connectionless detection are suggested separately adapted to Modbus TCP of ICS which utilizes TCP/IP model. Then passive detection and two activate detections are adopted at different frequencies. The analysis results show that the proposed technique has higher efficiency, lower cost and improves the scanning concealment. © Published under licence by IOP Publishing Ltd.

关键词： Scanning

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New human-computer interaction solution for next-generation power grid dispatching system 3rd

New human-computer interaction solution for next-generation ...

引用

3rd International Conference on Intelligent, Interactive Systems and Applications, IISA2018

作者： Yu, Hai Xu, Min Peng, Lin Wang, He Hou, Zhansheng Global Energy Interconnection Research Institute Co. Ltd. NanjingJiangsu210003 China State Grid Key Laboratory of Information and Network Security Nanjing210003 China

ISBN: (纸本)9783030028039

This paper aims at the human-machine interaction requirements of the new generation of dispatching systems, and based on the new human-computer interaction technology trends, studies and proposes a new human-computer interaction solution for the new generation of dispatching systems. Starting from the on-the-spot requirements analysis, the research foundation and basic principles are described. The implementation route is given. Apply mature and applicable new human-computer interaction technology to support the new grid control architecture with "physical distribution and logical unity". © Springer Nature Switzerland AG 2019.

关键词： Electric power transmission networks

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Large-scale Global Optimization based on ABC Algorithm with Gbest-guided Strategy and Opposite-based Learning Technique

Large-scale Global Optimization based on ABC Algorithm with ...

引用

2019 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2019

作者： Zhang, Fuzhong Zhang, Fuxing Jinan Rail Transportation Equipment Co. Ltd. 250022 State Grid Key Laboratory of Information & Network Security Global Energy Interconnection Research Institute 102211 China

ISBN: (纸本)9781728112220

A novel approach for better solving large scale global optimization (LSGO) problem, which incorporates an enhanced artificial bee colony (ABC) algorithm and adaptive neighborhood search technique, is presented in this paper. In the enhanced ABC algorithm, the gbest-guided strategy is employed to better exploit a local area, while an opposite-based learning technique is simultaneously used to enhance its exploration capability. In addition, a self-adaptive neighborhood search strategy with Gaussian and Cauchy operators is used to balance the local and global search process. Experimental results on 20 benchmark functions of CEC2010 can not only verify the effectiveness and efficiency of this method, but also indicate the enhanced ABC algorithm with gbest-guided strategy and opposite-based learning technique can achieve comparable or better solution quality with respect to some other approaches in LSGO. © 2019 IEEE.

关键词： Evolutionary algorithms

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