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Proceedings of the 2022 6th International Conference on Electronic Information technology and Computer Engineering

作者： Xuesen Zhang Qinglei Guo Xiukui Pan Desheng Bai Xiaoting Pan Jiayu Lv State Grid Digital Technology Holding Co. Ltd Blockchain Technology Laboratory of State Grid Corporation of China China

ISBN: (纸本)9781450397148

The initial exploration of the application of blockchain technology in the energy field has yielded many results. In the context of energy interconnection, information exchange, data sharing and China's "2030 carbon peak, 2060 carbon neutral" strategy, blockchain technology will play a greater role in the energy field, and the consensus mechanism is the energy block The key technology that the chain urgently needs to break through. First, this paper analyzes the opportunities and challenges faced by energy development, discusses the value and technical support of blockchain technology in the energy field, summarizes the current application status, and then proposes an on-chip consensus algorithm based on VRF, each shard can be processed in parallel On-chip transactions, run the consensus mechanism to verify and package these transactions, improve transaction execution efficiency, and verify the effectiveness and speed of the consensus mechanism proposed in this paper through example simulations. Finally, the application goals and several policy recommendations of energy blockchain are put forward, in order to provide reference for future energy planning.

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Heterointerface Engineering-Induced Oxygen Defects for the Manganese Dissolution Inhibition in Aqueous Zinc Ion Batteries

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Energy & Environmental Materials 2024年第3期7卷 112-122页

作者： Wentao Qu Yong Cai Baohui Chen Ming Zhang Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics&Devices School of Physics and ElectronicsHunan UniversityChangsha 410082China Engineering Research Center of Advanced Semiconductor Technology and Application of Ministry of Education&Key Laboratory for Micro-/Nano-Optoelectronic Devices of Ministry of Education College of Semiconductors(College of Integrated Circuits)Hunan UniversityChangsha 410082China Changsha Semiconductor Technology and Application Innovation Research Institute College of Semiconductors(College of Integrated Circuits)Hunan UniversityChangsha 410082China State Key Laboratory of Disaster Prevention&Reduction for Power Grid Transmission and Distribution Equipment(Hunan Electric Power Corporation Disaster Prevention and Reduction Center) Changsha 410007China

Manganese-based material is a prospective cathode material for aqueous zinc ion batteries(ZIBs)by virtue of its high theoretical capacity,high operating voltage,and low ***,the manganese dissolution during the electrochemical reaction causes its electrochemical cycling stability to be *** this work,heterointerface engineering-induced oxygen defects are introduced into heterostructure MnO_(2)(δa-MnO_(2))by in situ electrochemical activation to inhibit manganese dissolution for aqueous zinc ion ***,the heterointerface between the disordered amorphous and the crystalline MnO_(2)ofδa-MnO_(2)is decisive for the formation of oxygen *** the experimental results indicate that the manganese dissolution ofδa-MnO_(2)is considerably inhibited during the charge/discharge *** analysis indicates that the oxygen defect regulates the electronic and band structure and the Mn-O bonding state of the electrode material,thereby promoting electron transport kinetics as well as inhibiting Mn ***,the capacity ofδa-MnO_(2)does not degrade after 100 cycles at a current density of 0.5 Ag^(-1)and also 91%capacity retention after 500cycles at 1 Ag^(-1).This study provides a promising insight into the development of high-performance manganese-based cathode materials through a facile and low-cost strategy.

关键词： electrochemical activation heterointerface manganese dissolution inhibition oxygen defects zinc ion batteries

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Research on the business model of distributed power trading based on blockchain technology

Research on the business model of distributed power trading ...

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2020 International Conference on Advances in Physical Sciences and Data Processing, APSDP 2020

作者： Lei, Yadie Liu, Tianqin Zhu, Hongying State Grid Xiongan Financial Technology Company Beijing China State Grid Blockchain Technology Laboratory Beijing China

With the power system reform deepening, the distributed power trading in the market is prominent. Exploring the business model of distributed power trading has become an important issue to perfect the distributed power trading market. Firstly, the paper describes the current situation and the characteristics of the distributed power trading, summarizes the same characteristics between the distributed power trading and blockchain. Secondly, the paper analyses the interested participant of distributed power trading, clarify the value target of relevant participants, and then analyses the application of blockchain technology in distributed power trading through the literature method. Finally, the paper proposes to build a public service platform for distributed power trading based on blockchain technology, improves the principle of distributed power trading, standardizes the business trading process of distributed power trading, and then forms a kind of distributed power trading business model with multiple subjects participating in the competition. Furthermore, it can maximize the interests of the main participants and promote the distributed power trading fairer and more open. © Published under licence by IOP Publishing Ltd.

关键词： blockchain

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A Switchable Modular AC~DC Buck-Boost Converter for the Wide Input Range in Energy Harvesting

A Switchable Modular AC~DC Buck-Boost Converter for the Wide...

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International Conference on Wireless Power Transfer, ICWPT 2022

作者： Li, Chunlong Ju, Dengfeng Huang, Hui Ye, Kuan Liu, Hongjing Yuan, Jiayong State Grid Smart Grid Research Institute Co. Ltd. Beijing102209 China Electric Power Intelligent Sensing Technology and Application State Grid Corporation Joint Laboratory Beijing102209 China State Grid Beijing Electric Power Research Institute Beijing100075 China Standard Verification Laboratory for On-Site Testing Technology Beijing102209 China School of Electrical and Electronics Engineering Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9789819906307

Energy harvesting (EH) tends to have wide output range due to the dynamic characteristics of environment energies. Therefore, power converters in EH applications require to satisfy wide input range which may lead to reduced efficiency, volume and increased cost. In this paper, a switchable modular AC-DC buck-boost converter with input-series and output-parallel connection is presented for the wide input range of energy harvesting. The converter reduces the voltage stress of the MOSFETs and increases the efficiency of the converter through modular switching. The employment of different numbers of modules of the proposed converter is determined by input voltage level. An example of a two-module input-series and output-parallel system is designed, and the improvement of efficiency in wild input voltage has been verified. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Buck-Boost converter

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Research and Design of Electric Power Engineering Project Management System Bsed on blockchain technology

Research and Design of Electric Power Engineering Project Ma...

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2022 International Conference on blockchain technology and Information Security, ICBCTIS 2022

作者： Guo, Qinglei Chen, Shuai Wang, Junsheng Pan, Xiaoting State Grid E-Commerce Co. Ltd. Beijing China Co. Ltd. Beijing China Blockchain Technology Laboratory of State Grid Corporation of China Beijing China

ISBN: (数字)9781665496919

ISBN: (纸本)9781665496919

The characteristics of electric power engineering projects, such as multiple types, multiple links, multiple related parties, and decentralized construction have formed complex contracts and employment relationships. Numerous stakeholders make the owner's ability to control all parties involved in the project very limited, and the problems of information islands still exist. Firstly, electric power engineering project management problems, such as qualifications of contractors or subcontractors, subcontracting in breach of contract, lack of transparency in the payment of workers' wages, arrears of wages, withholding and embezzlement of contract funds, and malicious debt collection, were analysed. Then, the data deposit, enterprise and personnel credit management, contract management, project progress management, and funds management based on the blockchain technology were studied. Finally, the blockchian based electric power engineering project management system was designed. © 2022 IEEE.

关键词： blockchain

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Joint Visual Perception and Linguistic Commonsense for Daily Events Causality Reasoning

Joint Visual Perception and Linguistic Commonsense for Daily...

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2022 IEEE International Conference on Multimedia and Expo, ICME 2022

作者： Ma, Bole Tong, Chao School of Computer Science and Engineering Beihang University China Beihang University State Key Laboratory of Software Development Environment China Yunnan Key Laboratory of Blockchain Application Technology China

ISBN: (数字)9781665485630

ISBN: (纸本)9781665485630

Multimodal networks that juxtapose visual and linguistic modalities are currently widely adopted for solving vision-and-language tasks. They perform well in simple and intu-itive tasks, but are prone to mistakes in tasks involving latent or implicit details, due to the difficulty of capturing crucial but imperceptible visual signals in the real world. Perception errors lead to nonsensical results, but can be corrected by commonsense knowledge. To this end, we combine visual perception and linguistic commonsense to solve the challenging daily events causality reasoning task. We propose a novel Object-Aware Reasoning Network to focus on object inter-action while ignoring distracting information to refine visual perception. Further, a language branch with an independent prediction head is supervised to learn causality commonsense to help correct obvious perception errors, resulting in more plausible conclusions. Extensive experiments demonstrate that our method achieves new state-of-the-art results on Vis-Causal dataset. © 2022 IEEE.

关键词： Linguistics

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Research on Evaluation Model of Green Power Consumption Identification 3

Research on Evaluation Model of Green Power Consumption Iden...

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3rd International Conference on Electronic Information Engineering and Computer Science, EIECS 2023

作者： Zhang, Xian Shi, Zhuyu Li, Da Zhang, Xuesen Pan, Xiukui Guo, Qinglei Yu, Tao Beijing Power Exchange Center New Energy Trading Department Beijing China Co. Ltd Research Department Beijing China State Grid Digital Technology Holding Co. Ltd Research Department Beijing China Blockchain Technology Laboratory of State Grid Corporation of China Research Department Beijing China State Grid Shanghai Municipal Electric Power Company Shanghai China

ISBN: (纸本)9798350316674

At home and abroad, preliminary studies have been carried out on the evaluation and identification of green power consumption level, but they are all electricity certification oriented to the generation side, and lack of certification and identification system oriented to the green power consumption side to evaluate the consumption behavior of green power users. An evaluation index system for green electricity consumption identification were designed, which includes three aspects: consumption fluctuation, consumption level, and environmental benefits, with a total of 10 indicators. By combining the subjective and objective methods of Analytic Hierarchy Process and Entropy Weight, the indicator weights were determined, and the weighted TOPSIS method was used to construct a multi-attribute coordinated and graded evaluation model for green power consumption, which supports rapid evaluation and verification of enterprise green power consumption levels and attributes. Six typical industrial users were selected as the research subjects, and the scores of each user indicator were calculated through the established evaluation model to characterize the comprehensive level of green electricity consumption of users. This provides a basis for designing corresponding scoring systems for different user indicators in the future. © 2023 IEEE.

关键词： green power green power consumption evaluation renewable energy

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Design of a Compact Calibration Platform for Characterization of Tunneling Magnetoresistive Sensors under Varying Temperatures 5

Design of a Compact Calibration Platform for Characterizatio...

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5th International Conference on Electronic Engineering and Informatics, EEI 2023

作者： Qian, Sen Huang, Hui Chen, Chuan Guo, Jinghong Li, Liang Sun, Hengchao Dong, Xianguang Sun, Yanling State Grid Smart Grid Research Institute Co. Ltd. Electric Power Intelligent Sensing Technology and Application State Grid Corporation Joint Laboratory Beijing China Beijing Smartchip Microelectronics Technology Co. Ltd. Department of Smart Sensing Beijing China State Grid Shandong Electric Power Company Metering Center Department of Marketing Jinan China

ISBN: (纸本)9798350327076

The temperature dependence of magnetic sensors' performance is a crucial factor that can impact measurement accuracy, necessitating precise characterization to compensate for errors caused by thermal drift. Previous research involved placing magnetic sensors in an oven to control temperature and measuring their responses to magnetic fields induced by current-carrying wires to determine temperature dependence. However, this approach was typically time-consuming and introduced errors due to the non-uniform magnetic field generated by the current-carrying conductor. In this study, we developed a compact calibration platform specifically designed to characterize magnetic sensors at different temperatures. The platform incorporates a thermoelectric cooler (TEC) to adjust the sensor's temperature. A temperature controller, implemented using a proportional-integral-derivative (PID) controller, regulates the temperature of the TEC, with a thermistor providing real-time temperature feedback. This compact platform enables temperature variations ranging from -25°C to 85°C for calibrating magnetic sensors at different temperatures. To validate the proposed design, we conducted sensitivity and offset drift characterizations of a commercial tunneling magnetoresistive sensor using the built platform. The obtained results aligned with the typical values provided in the sensor's datasheet, thus confirming the effectiveness of the proposed design. © 2023 IEEE.

关键词： Calibration

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Dual Prompt-Based Few-Shot Learning for Automated Vulnerability Patch Localization

Dual Prompt-Based Few-Shot Learning for Automated Vulnerabil...

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IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)

作者： Junwei Zhang Xing Hu Lingfeng Bao Xin Xia Shanping Li The State Key Laboratory of Blockchain and Data Security Zhejiang University Hangzhou China Software Engineering Application Technology Lab Huawei China

ISBN: (数字)9798350330663

ISBN: (纸本)9798350330670

Vulnerabilities are disclosed with corresponding patches so that users can remediate them in time. However, there are instances where patches are not released with the disclosed vulnerabilities, causing hidden dangers, especially if dependent software remains uninformed about the affected code repository. Hence, it is crucial to automatically locate security patches for disclosed vulnerabilities among a multitude of commits. Despite the promising performance of existing learning-based localization approaches, they still suffer from the following limitations: (1) They cannot perform well in data scarcity scenarios. Most neural models require extensive datasets to capture the semantic correlations between the vulnerability description and code commits, while the number of disclosed vulnerabilities with patches is limited. (2) They struggle to capture the deep semantic correlations between the vulnerability description and code commits due to inherent differences in semantics and characters between code changes and commit messages. It is difficult to use one model to capture the semantic correlations between vulnerability descriptions and code commits. To mitigate these two limitations, in this paper, we propose a novel security patch localization approach named Prom VPat, which utilizes the dual prompt tuning channel to capture the semantic correlation between vulnerability descriptions and commits, especially in data scarcity (i.e., few-shot) scenarios. We first input the commit message and code changes with the vulnerability description into the prompt generator to generate two new inputs with prompt templates. Then, we adopt a pre-trained language model (i.e., PLM) as the encoder, utilize the prompt tuning method to fine-tune the encoder, and generate two correlation probabilities as the semantic features. In addition, we extract 26 handcrafted features from the vulnerability descriptions and the code commits. Finally, we utilize the attention mechanism to fuse the

关键词： Location awareness Codes Correlation Semantics PROM Feature extraction Software

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Study of Traceability System of Renewable Energy Power Trading Based on blockchain technology

Study of Traceability System of Renewable Energy Power Tradi...

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2022 International Conference on blockchain technology and Information Security, ICBCTIS 2022

作者： Zhang, Qing Xu, Tao Wang, Dong Liu, Zijian Cheng, Chuanyuan Zheng, Shangzhuo Wang, Gangpeng State Grid Beijing Electric Power Company Beijing China State Grid E-Commerce Co. Ltd. Beijing China Co. Ltd. Beijing China Blockchain Technology Laboratory of State Grid Corporation of China Beijing China

ISBN: (数字)9781665496919

ISBN: (纸本)9781665496919

This article first introduced the process of renewable energy power trading, sorted out the core information and data required for the traceability of the entire chain from the power generation side to the power consumption side, and established the renewable energy power traceability mechanism of 'sub-link traceability + overall calculation and verification'. Using blockchain encryption and anti-tampering features, a blockchain-based core data collection and traceability system was studied and designed, which realized the on-chain certification and traceability verification of key information to ensure the authenticity and credibility of traceable data, and improve traceability and supervision capabilities. The renewable energy traceability system has been verified in a power supply scenario. © 2022 IEEE.

关键词： blockchain

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