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Modeling and application of marketing and distribution data based on graph computing

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Global Energy Interconnection 2022年第4期5卷 448-460页

作者： Kai Xiao Daoxing Li xiaohui Wang Pengtian Guo China Electric Power Research Institute Co.Ltd. Beijing 100192P.R.China

Integrating marketing and distribution businesses is crucial for improving the coordination of equipment and the efficient management of multi-energy systems.New energy sources are continuously being connected to distribution grids;this,however,increases the complexity of the information structure of marketing and distribution businesses.The existing unified data model and the coordinated application of marketing and distribution suffer from various drawbacks.As a solution,this paper presents a data model of"one graph of marketing and distribution"and a framework for graph computing,by analyzing the current trends of business and data in the marketing and distribution fields and using graph data theory.Specifically,this work aims to determine the correlation between distribution transformers and marketing users,which is crucial for elucidating the connection between marketing and distribution.In this manner,a novel identification algorithm is proposed based on the collected data for marketing and distribution.Lastly,a forecasting application is developed based on the proposed algorithm to realize the coordinated prediction and consumption of distributed photovoltaic power generation and distribution loads.Furthermore,an operation and maintenance(O&M)knowledge graph reasoning application is developed to improve the intelligent O&M ability of marketing and distribution equipment.

关键词： Marketing and distribution connection Graph data Graph computing Knowledge graph Data model

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Global Energy Interconnection 2023年第1期6卷 15-25页

作者： Kai Xiao Daoxing Li Pengtian Guo xiaohui Wang Yong Chen China Electric Power Research Institute Co.Ltd. Beijing 100192P.R.China

Operation control of power systems has become challenging with an increase in the scale and complexity of power distribution systems and extensive access to renewable energy.Therefore,improvement of the ability of data-driven operation management,intelligent analysis,and mining is urgently required.To investigate and explore similar regularities of the historical operating section of the power distribution system and assist the power grid in obtaining high-value historical operation,maintenance experience,and knowledge by rule and line,a neural information retrieval model with an attention mechanism is proposed based on graph data computing technology.Based on the processing flow of the operating data of the power distribution system,a technical framework of neural information retrieval is established.Combined with the natural graph characteristics of the power distribution system,a unified graph data structure and a data fusion method of data access,data complement,and multi-source data are constructed.Further,a graph node feature-embedding representation learning algorithm and a neural information retrieval algorithm model are constructed.The neural information retrieval algorithm model is trained and tested using the generated graph node feature representation vector set.The model is verified on the operating section of the power distribution system of a provincial grid area.The results show that the proposed method demonstrates high accuracy in the similarity matching of historical operation characteristics and effectively supports intelligent fault diagnosis and elimination in power distribution systems.

关键词： Neural information retrieval Power distribution Graph data Operating section Similarity matching

Towards sparse matrix operations:graph database approach for power grid computation

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Global Energy Interconnection 2023年第1期6卷 50-63页

作者： Daoxing Li Kai Xiao xiaohui Wang Pengtian Guo Yong Chen China Electric Power Research Institute Co.Ltd. Beijing 100192P.R.China

The construction of new power systems presents higher requirements for the Power Internet of Things(PIoT)technology.The“source-grid-load-storage”architecture of a new power system requires PIoT to have a stronger multi-source heterogeneous data fusion ability.Native graph databases have great advantages in dealing with multi-source heterogeneous data,which make them suitable for an increasing number of analytical computing tasks.However,only few existing graph database products have native support for matrix operation-related interfaces or functions,resulting in low efficiency when handling matrix calculations that are commonly encountered in power grids.In this paper,the matrix computation process is expressed by a strategy called graph description,which relies on the natural connection between the matrix and structure of the graph.Based on that,we implement matrix operations on graph database,including matrix multiplication,matrix decomposition,etc.Specifically,only the nodes relevant to the computation and their neighbors are concerned in the process,which prunes the influence of zero elements in the matrix and avoids useless iterations compared to the conventional matrix computation.Based on the graph description,a series of power grid computations can be implemented on graph database,which reduces redundant data import and export operations while leveraging the parallel computing capability of graph database.It promotes the efficiency of PIoT when handling multi-source heterogeneous data.An comprehensive experimental study over two different scale power system datasets compares the proposed method with Python and MATLAB baselines.The results reveal the superior performance of our proposed method in both power flow and N-1 contingency computations.

关键词： Graph database Graph description Matrix Parallel computing Power flow

Light-Driven Ion Transport in Nanofluidic Devices:Photochemical,Photoelectric,and Photothermal Effects

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CCS Chemistry 2022年第1期4卷 54-65页

作者： Kai Xiao Oliver G.Schmidt Department of Biomedical Engineering Southern University of Science and Technology(SUSTech)Shenzhen 518055 Center for Materials Architectures and Integration of Nanomembranes(MAIN)Chemnitz University of TechnologyChemnitz 09126 Institute for Integrative Nanosciences Leibniz IFW DresdenDresden 01069

Light-driven ion transport in nanofluidic devices is a phenomenon where ions move unidirectionally by consuming optical energy,either from low concentration to high concentration or vice versa.The light-driven unidirectional ion transport offers intriguing application potential in desalination and ion separation,osmosis energy harvesting,and ionic machines benefiting from the remote noncontact light stimulus.Here,we review recent progress in nanofluidic-based light-driven ion transport systems and emphasize similarities and differences in the three underlying working principles based on photochemical,photoelectric,and photothermal effects.The current challenges and future developments of light-driven ion transport in nanofluidic devices are discussed.We believed that this article encourages further innovation in this exciting and emerging research field.

关键词： nanofluidic artificial ion pump nanochannel ion transport photoelectric effect

Selective separation of iron and scandium from Bayer Sc-bearing red mud

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维普期刊数据库

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Journal of Rare Earths 2023年第7期41卷 1099-1107,I0005页

作者： Junhui xiao kai Zou Nanlan Zhong Deqiang Gao Sichuan Provincial Engineering Lab of Nonmetallic Mineral Powder Modification and High-Value Utilization Southwest University of Science and TechnologyMianyang 621010China Dongfang Boiler Group Co. Ltd.Zigong 643001China Key Laboratory of Ministry of Education for Solid Waste Treatment and Resource Recycle Southwest University of Science and TechnologyMianyang 621010China

In this study,we investigated the separation of iron and scandium from Sc-bearing red mud.The red mud object of our study contained 31.11 wt%total iron(TFe),0.0045 wt%Sc,hematite(Fe_(2)O_(3))and ferrosilite(FeO·SiO_(2))as the main Fe-bearing minerals.The Sc-bearing red mud was treated by a novel deep reduction roasting and magnetic separation process that includes the addition of coke and CaO to extract Fe and enriching Sc from the Sc-bearing red mud.The addition of coke and CaO enhances the transformation of hematite(Fe_(2)O_(3))to metallic iron(Fe~0)and magnetite(Fe_(3)O_(4))as well as the transformation of ferrosilite into metallic iron(Fe~0).The test results show that utilizing the new process a Fe concentrate with a TFe content of 81.22 wt%and Fe recovery of 92.96%was obtained.Furthermore,magnetic separation tailings with Sc content of 0.0062 wt%and Sc recovery of 98.65%were also obtained.The test results were achieved under the following process conditions:roasting temperature of 1373 K,roasting time of 45 min,calcium oxide dosage of 20 wt%,coke dosage of 25 wt%,grinding fineness of90%<0.04 mm,and magnetic field intensity of 0.24 T.The major minerals in the Fe concentrate are metallic iron(Fe~0)and magnetite(Fe_(3)O_(4)).The main minerals in the magnetic separation tailings with a low TFe content of 2.62%are CaO·SiO_(2),Na_(2)O·SiO_(2),FeO·SiO_(2),Ca_(3)Fe_(2)Si_(3)O_(12),CaAl_(2)SiO_6 and CaFe(SiO_(3))_(2).

关键词： Red mud Scandium Iron Deep reduction roasting Magnetic separation Rare earths

The alleviation of ammonium toxicity in plants

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Journal of Integrative Plant Biology 2023年第6期65卷 1362-1368页

作者： Chengbin xiao Yuan Fang Suomin Wang kai He Ministry of Education Key Laboratory of Cell Activities and Stress Adaptations School of Life SciencesLanzhou UniversityLanzhou 730000China State Key Laboratory of Grassland Agro‐Ecosystems College of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhou 730000China

Nitrogen(N)is an essential macronutrient for plants and profoundly affects crop yields and qualities.Ammonium(NH4+)and nitrate(NO3-)are major inorganic N forms absorbed by plants from the surrounding environments.Intriguingly,NH4+is usually toxic to plants when it serves as the sole or dominant N source.It is thus important for plants to coordinate the utilization of NH4+and the alleviation of NH4+toxicity.To fully decipher the molecular mechanisms underlying how plants minimize NH4+toxicity may broadly benefit agricultural practice.In the current minireview,we attempt to discuss recent discoveries in the strategies for mitigating NH4+toxicity in plants,which may provide potential solutions for improving the nitrogen use efficiency(NUE)and stress adaptions in crops.

关键词： alleviation ammonium toxicity channel nitrogen NUE transporter

Leap trajectory tracking control based on sliding mode theory for hypersonic gliding vehicle

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2022年第3期23卷 188-207页

作者： kai AN Zhen-yun GUO Wei HUANG xiao-ping XU Science and Technology on Scramjet Laboratory College of Aerospace Science and EngineeringNational University of Defense TechnologyChangsha 410073China Beijing Interdisciplinary Center National University of Defense TechnologyBeijing 100101China

The aim of this study was to develop robust tracking control schemes for the 3D leap trajectory of hypersonic gliding vehicles using sliding mode theory. A predictor-corrector guidance method was applied to the generation of the reference trajectory, and drag acceleration was selected as the profile of reference tracking. A combined super-twisting sliding mode controller(CST-SMC) is proposed to decrease the tracking error and guarantee the tracking performance in the presence of system nonlinearities compared to three other common controllers: the linear sliding mode controller(L-SMC), global fast terminal sliding mode controller(GFT-SMC), and super-twisting sliding mode controller(ST-SMC). By using the developed controller, the system state of a second-order drag acceleration tracking error system can approach the global fast terminal sliding manifold in finite time. By using the Lyapunov approach, sufficient conditions are deduced to ensure that the tracking performance is obtained for a closed-loop system. Furthermore, we show that the controller is robust to initial uncertain parameters and other perturbations, as validated by simulation results with appropriate gains.

关键词： Predictor-corrector guidance Drag tracking Sliding mode control(SMC) Super twisting control

Low Grip Strength and Increased Mortality Hazard among Middle-Aged and Older Chinese Adults with Chronic Diseases

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Biomedical and Environmental Sciences 2023年第3期36卷 213-221页

作者： XIE kai Hong HAN xiao ZHENG Wei Jun ZHUANG Su Fang School of Nursing Zhejiang Chinese Medical UniversityHangzhou 311400ZhejiangChina School of health humanities Peking UniversityBeijing 100000China School of Public Health Zhejiang Chinese Medical UniversityHangzhou 311400ZhejiangChina Office of Disciplinary Inspection and Supervision The Third Affiliated Hospital of Zhejiang Chinese Medical UniversityHangzhou 311006ZhejiangChina

Objective This study aims to evaluate the association between lower grip strength and mortality hazard.Methods We selected 10,280 adults aged 45 to 96 years old from the China Health and Retirement Longitudinal Study and used multivariate Cox proportional hazard models to assess the association of grip strength with mortality hazard.In addition,we explored the possibility of a nonlinear relationship using a 4-knot restricted spline regression.Results We found that elevated grip strength was associated with lower mortality up to a certain threshold.The baseline quartile values of grip strength were 30,37,and 44 kg for males and 25,30,and35 kg for females.After adjusting for confounders,with category 1 as the reference group,the adjusted HRs were 0.58(0.42-0.79)in males and 0.70(0.48-0.99)in females(category 4).We also found a linear association between grip strength values and all-cause death risk(males,P=0.274;females,P=0.883)using restricted spline regression.For males with a grip strength<37 kg and females with a grip strength<30 kg,grip strength and death were negatively associated.Conclusion Grip strength below a sex-specific threshold is inversely associated with mortality hazard among middle-aged and older Chinese adults with chronic diseases.

关键词： Grip strength Death Chronic disease

Improving Ductility and Anisotropy by Dynamic Recrystallization in Ti/Mg Laminated Metal Composite

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Acta Metallurgica Sinica(English Letters) 2022年第12期35卷 1946-1958页

作者： Taiqian Mo Huaqiang xiao Bo Lin Wei Li kai Ma School of Mechanical Engineering Guizhou UniversityGuiyang 550025China College of Materials Science and Engineering Chongqing UniversityChongqing 400044China Shi-Changxu Innovation Center for Advanced Materials Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China

Ti/Mg laminated metal composites(LMCs)were processed by hot roll bonding and subsequent annealing at 200℃and300℃for 1 h,and the effect of dynamic recrystallization on the microstructure and anisotropy behavior was investigated in detail.The results revealed that,in both as-rolled and annealed Ti/Mg LMCs,the inhomogeneous distribution in the microstructure of Mg layers near the interface and near the center was related to the effect of friction between the roller and sheet surface and uncoordinated deformation between constituent layers.With increasing annealing temperature,Ti/Mg LMCs exhibited excellent elongation without sacrificing strength properties,which was mainly due to the improvement in bonding strength and the increasing strain gradient at the interface between soft and hard layers after annealing treatment.Besides,the increasing Schmid factors(SFs)of prismatic slip and pyramidal slip in Mg layers contributed to the improved plastic deformation ability of Ti/Mg LMCs.The experimental analysis indicated that the presence of Mg alloys resulted in the microstructure and mechanical properties of LMCs were different along various loading directions,and annealing treatment can effectively inhibit the anisotropic behavior of Ti/Mg LMCs resulting from the weakening of basal texture in the Mg layer.

关键词： Ti/Mg laminated metal composites Dynamic recrystallization Microstructure Mechanical propertiesAnisotropy