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海洋学研究 2020年第1期38卷 87-94页

作者：马乐天冯旭文吕小飞吴春芳李家彪自然资源部海底科学重点实验室浙江杭州310012 自然资源部第二海洋研究所浙江杭州310012

通过对比分析我国与美国、欧盟的标准战略、标准化组织机构、标准体系和海洋调查技术标准具体的制订现状,综合比较了我国与发达国家之间的差异,建议借鉴以民间自由竞争为特点的美国标准模式和以高度国际化的标准体系为特点的欧洲标准模... 详细信息

通过对比分析我国与美国、欧盟的标准战略、标准化组织机构、标准体系和海洋调查技术标准具体的制订现状,综合比较了我国与发达国家之间的差异,建议借鉴以民间自由竞争为特点的美国标准模式和以高度国际化的标准体系为特点的欧洲标准模式,同时充分发挥国际标准化组织海洋技术分委会(ISO/TC8/SC13)主席和秘书处落户中国这一平台优势的桥梁作用,探索我国海洋调查技术标准国际化的有效路径。

关键词：海洋调查技术标准国际标准化组织

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Dynamic design method of digital twin process model driven by knowledge-evolution machining features

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INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2022年第7期60卷 2312-2330页

作者： Liu, Jinfeng Zhao, Peng Jing, xuwen Cao, Xuwu Sheng, Sushan Zhou, Honggen Liu, Xiaojun feng, feng Jiangsu Univ Sci & Technol Sch Mech Engn Zhenjiang 212003 Jiangsu Peoples R China Southeast Univ Sch Mech Engn Nanjing Peoples R China Shaanxi Diesel Engine Heavy Ind Co Ltd Xingping Peoples R China

Machining plan is the core of guiding manufacturing production and is regarded as one of the keys to ensure the quality of product processing. Existing process design methods are inefficient to quickly handle the machining plan changed induced by the unpredictable events in real-time production. It inevitably causes time and economic losses for the enterprise. In order to express the evolutionary characteristics of product processing, the construction method of digital twin process model (DTPM) is proposed based on the knowledge-evolution machining features. Three key technologies include correlation structure of process knowledge, expression method of the evolution geometric features and the association mechanism between two are solved. On this basis, the construction framework of DTPM is illustrated. Then, the organisation and management mechanism of multi-source heterogeneous data is discussed in detail. At last, a case study of the complex machined part is researched, the results show that the processing time reduced by about 7% and the processing stability improved by 40%. Meanwhile, the implementation scheme, application process and effect of this case are described in detail to provide reference for enterprises.

关键词： Digital twin process knowledge machining features dynamic evolution

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Deep Reinforcement Learning Home Energy Management Based Local Energy Trading in a Blockchain Platform 9

Deep Reinforcement Learning Home Energy Management Based Loc...

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9th Asia Conference on Power and Electrical Engineering, ACPEE 2024

作者： Jiang, Yu feng, Yingchun Fan, Jie Gao, Bo Wang, Yang Liu, xuwen Jiangsu Electric Power Trading Center State Grid Jiangsu Electric Power Co. LTD Nanjing China

ISBN: (纸本)9798350309638

Decentralized peer-to-peer Local Energy Markets (LEMs) are gaining popularity as local power production from Renewable Energy Sources (RESs) increases. The study investigates a blockchain-driven LEM in which prosumers and consumers buy and sell energy independently of the involvement of a third party. The suggested scheme involves Home Energy Management (HEM) and demurrage mechanisms that enable both consumers and prosumers to reduce their power prices and improve their power usage. The end-user can likewise move the load to off-peak periods and benefit from lower energy costs from the LEM through the approach. In this solution, HEM and demurrage mechanisms are used to optimize power usage as well as energy costs. As well as providing adequate power for the LEM, it is economically beneficial for end users and the community. The proposed system in the study utilizes the Deep Deterministic Policy Gradient (DDPG) algorithm and demurrage mechanisms to optimize electricity usage and energy costs. Meanwhile, smart contract on the Ethereum blockchain regulate and safeguard the electricity trading process. © 2024 IEEE.

关键词： Blockchain

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Improved Eagle Perching Optimizer Based P2P Energy Trading for Smart Homes 9

Improved Eagle Perching Optimizer Based P2P Energy Trading f...

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9th Asia Conference on Power and Electrical Engineering, ACPEE 2024

作者： Jiang, Yu feng, Yingchun Fan, Jie Gao, Bo Wang, Yang Liu, xuwen State Grid Jiangsu Electric Power Co. LTD Jiangsu Electric Power Trading Center Nanjing China

ISBN: (纸本)9798350309638

The purpose of the study is to optimize power price in smart homes that connect to share energy. A Demand Side Management (DSM) system is used to coordinate P2P energy trading between smart homes using the improved eagle perching optimizer (IEPO). The IEPO algorithm produces optimum solutions for 99% of actual datasets, according to the outcomes. It is possible that consumer price distribution in the microgrid (MG) could be unequal as a result of P2P energy trading. The Pareto optimality principle addresses the issue of unequal price distribution, preventing households from being harmed by improving the costs of others. A final evaluation is performed on the effect of renewable energy and the penetration of storage within the MG. As the renewable energy and the penetration of storage increases, savings cannot necessarily be linear. As the saturation point approaches, they slowly begin to decline. © 2024 IEEE.

关键词： Demand side management

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A Two-level Learning Approach for Achieving the Sustainable Development of Service Ecosystem

A Two-level Learning Approach for Achieving the Sustainable ...

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IEEE International Conference on Web Services (IEEE ICWS)

作者： Peng, Chao Xue, Xiao Zhang, xuwen Ji, Peilin Shen, Yifan Fang, Li feng, Zhiyong Tianjin Univ Coll Intelligence & Comp Tianjin Peoples R China Tianjin Key Lab Healthy Habitat & Mart Technol Tianjin Peoples R China Xian Univ Finance & Econ Sch Informat Xian Peoples R China

ISBN: (纸本)9798350368567;9798350368550

The governance of service ecosystem needs to balance efficiency and fairness to promote the sustainable development of the system, making it an important topic. However, service entities in the service ecosystem have autonomy and engage in dynamic game with governance strategies, leading to governance challenges. To address this issue, we model the governance process as a repeated sequential game between the governance algorithm and service entities, and propose a novel two-level learning algorithm. This algorithm considers the learning evolution of service entities and the co-evolutionary of the governance algorithm, using reinforcement learning to learn effective governance strategies while also considering the response function of service entities to balance efficiency and fairness. Combining the ideas of bilevel optimization and online learning, this algorithm effectively balances exploration (understanding the service entities' responses function) and exploitation (choosing efficient actions). We apply the algorithm to a classic service ecosystem, the ride-hailing service system, and empirically demonstrate its effectiveness in the governance task of order dispatching.

关键词： Service Ecosystem Governance Reinforcement Learning Balancing Efficiency and Fairness

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混合工质电动汽车空调全生命周期气候性能分析

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汽车工程 2024年第9期46卷 1707-1714页

作者：周峰田旭文李红旗北京工业大学制冷与低温工程系北京100124 传热强化与过程节能教育部重点实验室北京100124

空调作为整车系统中环境调控的关键子系统,其全生命周期的碳排放对于电动汽车的环保和排放要求至关重要。本文结合汽车空调系统全生命周期气候性能LCCP模型及相关数据,对全国各省份电动汽车空调系统的LCCP情况进行分析,同时对两种不同... 详细信息

空调作为整车系统中环境调控的关键子系统,其全生命周期的碳排放对于电动汽车的环保和排放要求至关重要。本文结合汽车空调系统全生命周期气候性能LCCP模型及相关数据,对全国各省份电动汽车空调系统的LCCP情况进行分析,同时对两种不同制热方案以及不同电力碳强度下的LCCP进行了比较分析。结果表明,RE170/R134a低GWP混合工质(二甲醚与R134a质量分数比90∶10)替换后电动汽车空调LCCP值降低了11.2%~28.1%,而采用热泵替换PTC电加热器后电动汽车空调LCCP值降低了0~33.1%,此外,随着未来我国电力碳强度与电动汽车保有量的变化,至2035年单辆车的LCCP值将会下降31.7%~39.3%,而全国整体电动汽车LCCP值将大幅上升。

关键词：低GWP混合工质全生命周期气候性能空调系统电动汽车

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船载观测设备计量检定与海上标校试验的现状和发展建议

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海洋开发与管理 2021年第2期38卷 81-86页

作者：黄路冯旭文乔正明杨星晨邵浩吴春芳国家海洋技术中心漳州基地筹建办公室厦门361007 自然资源部第二海洋研究所杭州310012 91039部队北京102401

计量检定和海上标校试验是目前船载观测设备在室内和室外开展测量精度评价的2种常用手段。为进一步推进我国计量检定和海上试验建设发展,文章系统归纳和总结室内计量检定和海上标校试验的原理、特点和工作现状,分析当前各自存在的问题,... 详细信息

计量检定和海上标校试验是目前船载观测设备在室内和室外开展测量精度评价的2种常用手段。为进一步推进我国计量检定和海上试验建设发展,文章系统归纳和总结室内计量检定和海上标校试验的原理、特点和工作现状,分析当前各自存在的问题,并提出具体建议。研究结果表明:军、地对于船载观测设备计量检定和海上标校试验的需求越来越迫切,我国虽已基本建成海洋设备计量技术规范体系,并强化海试全过程的质量控制,但仍存在计量标准、评价体系、维修保障和室外检定手段不足,海上试验环境和比测精度不确定以及缺少标准化海上试验设施和平台等问题;计量检定机构应综合分析计量要素的特点、社会效益和难易程度等,研究并制定行之有效的标准规范和保障措施;还应充分发挥海上试验的综合检验评价功能,研究完善比测校准方法,建设标准化的海上试验设施和平台。

关键词：计量检定海上标校试验船载观测设备测量精度评价校准方法

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Steroidal saponins from Allium chinense and their inhibitory effects on pancreatic lipase

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PHYTOCHEMISTRY LETTERS 2023年第1期55卷 22-29页

作者： Xie, Huili Shi, Xiaolei Wang, Bingzi Zhao, Dexin Sun, Zhiheng Chen, Yifu feng, Yuezhu Jin, Yongri Li, xuwen Jilin Univ Coll Chem Changchun 130012 Peoples R China Jilin Univ Coll Food Sci & Engn Changchun 130062 Peoples R China

Allium chinense *** is an important medicinal and edible homologous plant and indigenous to China and grown in other countries. Phytochemical studies have shown that it is rich in biologically active natural products. Herein, five new and twelve known steroidal saponins were isolated from the bulbs of Allium chinense ***. These compounds were structurally determined by analysis of their NMR, IR and HR-ESI-MS data. All isolates were evaluated for inhibition of porcine pancreatic lipase activity. Compounds 4, 7 and 10 exhibited potent inhibition of porcine pancreatic lipase. The relationship between structure and activity of these compounds is also investigated in this paper.

关键词： Allium chinense Steroidal saponins Extraction and isolation Structure identification Lipase inhibitory activity

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Finite element analysis of corn kernel damage: a viscoelastic model approach for impact-induced damage prediction

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JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2025年第7期105卷 3993-4004页

作者： Zhao, Xuelin Zhang, Qiang Fang, xuwen Zhang, Jinsong feng, Weijing Zhang, Li Zhou, Deyi Yu, Chunsheng Wang, Hao Gao, Xiaodi Zhou, Haigen Wu, Xinling Jilin Univ Coll Biol & Agr Engn Changchun 130022 Peoples R China

BACKGROUNDIn the present study, we address the quality degradation of corn during post-harvest processing by developing a viscoelastic composite model to predict kernel damage during post-harvest processing. The model, based on high-resolution scanning and inverse modeling techniques, provides an accurate representation of the complex internal components of corn kernels, which allows for the analysis of their stress response and damage susceptibility trends under different impact *** results show that the viscoelastic model has a relative error of 2.4% compared to the drop test data, thus demonstrating that the viscoelastic model has a very high accuracy in predicting impact damage and is able to accurately localize the flour-like endosperm as the main region of impact damage. The model showed a high correlation (0.99) between predicted and experimental damage rates by response surface *** damage during processing is reduced by reducing the proportion of flour-like endosperm in maize kernels. A new method for reducing damage during food handling and processing operations is proposed, providing an important reference for improving kernel durability and contributing to the development of gentler processing techniques to improve the quality of maize products. (c) 2025 Society of Chemical Industry.

关键词： viscoelastic composite model collision damage finite element method burgers model high moisture corn kernel

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Electromagnetic wave absorption properties of red mud-blast furnace slag based geopolymers filled with various wave-absorption materials

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CONSTRUCTION AND BUILDING MATERIALS 2023年 404卷

作者： Wang, Tianyu Ning, xuwen Yang, Lang Rao, feng Jiang, Kaixi Fuzhou Univ Sch Mat Sci & Engn Fuzhou 350108 Fujian Peoples R China Fuzhou Univ Zijin Sch Geol & Min Fuzhou 350108 Fujian Peoples R China Fuzhou Univ Fujian Key Lab Green Extract & High value Utilizat Fuzhou 350108 Fujian Peoples R China

In this work, red mud-blast furnace slag (RM-BFS) based geopolymers with excellent electromagnetic wave absorption property is synthesized through the incorporation of wave-absorption materials. The electromagnetic absorption property of geopolymer is characterized through the arched test, in which the reflection loss of specimens is tested by vector network analyzer (VNA). The microstructure and conductivity of geopolymers are characterized through scanning electron microscopy (SEM), concrete porous structure analyzer and conductivity tester. The crystalline phase and functional groups of geopolymers are characterized by X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FTIR). Compared to Portland cement concrete (PCC), wave absorption band of the geopolymer is wider and the absorption peak in high frequency band is more intense. With the optimal addition of hollow glass microsphere (HGM), Fe2O3 and graphite particles, the absorption bandwidth with reflection loss less than -5 dB are 12.4, 7.7 and 8.1 GHz, and the maximum reflection loss are -9.4, -8.4 and -8.7 dB, respectively. This study might give a clue for preparation of geopolymers with high electromagnetic wave absorption properties.

关键词： Electromagnetic wave Compressive strength Microstructure Geopolymers Conductivity

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