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Global Energy Interconnection 2024年第1期7卷 94-105页

作者： Pengtian Guo Kai Xiao Xiaohui Wang daoxing li China Electric Power Research Institute Co.Ltd. Beijing 100192P.R.China

The power Internet of Things(IoT)is a significant trend in technology and a requirement for national strategic *** the deepening digital transformation of the power grid,China’s power system has initially built a power IoT architecture comprising a perception,network,and platform application ***,owing to the structural complexity of the power system,the construction of the power IoT continues to face problems such as complex access management of massive heterogeneous equipment,diverse IoT protocol access methods,high concurrency of network communications,and weak data security *** address these issues,this study optimizes the existing architecture of the power IoT and designs an integrated management framework for the access of multi-source heterogeneous data in the power IoT,comprising cloud,pipe,edge,and terminal *** further reviews and analyzes the key technologies involved in the power IoT,such as the unified management of the physical model,high concurrent access,multi-protocol access,multi-source heterogeneous data storage management,and data security control,to provide a more flexible,efficient,secure,and easy-to-use solution for multi-source heterogeneous data access in the power IoT.

关键词： Power Internet of Things Object model High concurrency access Zero trust mechanism Multi-source heterogeneous data

Automated deep learning system for power line inspection image analysis and processing: architecture and design issues

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Global Energy Interconnection 2023年第5期6卷 614-633页

作者： daoxing li Xiaohui Wang Jie Zhang Zhixiang Ji China Electric Power Research Institute Co. LtdHaidian DistrictBeijing 100192P.R.China Sichuan Electric Power Research Institute SGCC Chengdu 610041P.R.China

The continuous growth in the scale of unmanned aerial vehicle (UAV) applications in transmission line inspection has resulted in a corresponding increase in the demand for UAV inspection image processing. Owing to its excellent performance in computer vision, deep learning has been applied to UAV inspection image processing tasks such as power line identification and insulator defect detection. Despite their excellent performance, electric power UAV inspection image processing models based on deep learning face several problems such as a small application scope, the need for constant retraining and optimization, and high R&D monetary and time costs due to the black-box and scene data-driven characteristics of deep learning. In this study, an automated deep learning system for electric power UAV inspection image analysis and processing is proposed as a solution to the aforementioned problems. This system design is based on the three critical design principles of generalizability, extensibility, and automation. Pre-trained models, fine-tuning (downstream task adaptation), and automated machine learning, which are closely related to these design principles, are reviewed. In addition, an automated deep learning system architecture for electric power UAV inspection image analysis and processing is presented. A prototype system was constructed and experiments were conducted on the two electric power UAV inspection image analysis and processing tasks of insulator self-detonation and bird nest recognition. The models constructed using the prototype system achieved 91.36% and 86.13% mAP for insulator self-detonation and bird nest recognition, respectively. This demonstrates that the system design concept is reasonable and the system architecture feasible .

关键词： Transmission line inspection Deep learning Automated machine learning Image analysis and processing

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 *** energy sources are continuously being connected to distribution grids;this,however,increases the complexity of the information structure of marketing and distribution *** existing unified data model and the coordinated application of marketing and distribution suffer from various *** 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 ***,this work aims to determine the correlation between distribution transformers and marketing users,which is crucial for elucidating the connection between marketing and *** this manner,a novel identification algorithm is proposed based on the collected data for marketing and ***,a forecasting application is developed based on the proposed algorithm to realize the coordinated prediction and consumption of distributed photovoltaic power generation and distribution ***,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 ***,improvement of the ability of data-driven operation management,intelligent analysis,and mining is urgently *** 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 *** on the processing flow of the operating data of the power distribution system,a technical framework of neural information retrieval is *** 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 ***,a graph node feature-embedding representation learning algorithm and a neural information retrieval algorithm model are *** neural information retrieval algorithm model is trained and tested using the generated graph node feature representation vector *** model is verified on the operating section of the power distribution system of a provincial grid *** 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

面向电力无人机巡检图像分析处理的自动化深度学习系统:架构设计与关键技术

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电力信息与通信技术 2024年第4期22卷 38-54页

作者：李道兴王晓辉李黎季知祥中国电力科学研究院有限公司北京市海淀区100192

当前电力无人机巡检图像处理模型存在适用范围小、研发成本高、研发周期长等问题,文章提出一种面向无人机巡检图像分析处理的自动化深度学习系统,明确该系统设计的泛化性、可拓展性、自动化三要素,综述与三要素密切相关的技术进展,设计... 详细信息

当前电力无人机巡检图像处理模型存在适用范围小、研发成本高、研发周期长等问题,文章提出一种面向无人机巡检图像分析处理的自动化深度学习系统,明确该系统设计的泛化性、可拓展性、自动化三要素,综述与三要素密切相关的技术进展,设计系统架构,构建原型系统。实验表明,在绝缘子自爆识别和鸟巢识别2项电力无人机巡检图像分析处理上,系统自动化构建的模型全类平均精度分别可达91.36%和86.13%,表明系统设计理念合理且系统架构可行。

关键词：输电线路巡检深度学习自动化训练图像分析处理

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)***“source-grid-load-storage”architecture of a new power system requires PIoT to have a stronger multi-source heterogeneous data fusion *** graph databases have great advantages in dealing with multi-source heterogeneous data,which make them suitable for an increasing number of analytical computing ***,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 *** 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 *** on that,we implement matrix operations on graph database,including matrix multiplication,matrix decomposition,***,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 *** 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 *** promotes the efficiency of PIoT when handling multi-source heterogeneous *** comprehensive experimental study over two different scale power system datasets compares the proposed method with Python and MATLAB *** 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

母亲心音环境联合袋鼠式干预对早产儿生长发育、胆红素代谢和心肺功能的影响

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中国计划生育学杂志 2024年第7期32卷 1568-1572,1577页

作者：张婧超左力田雨飞李道醒申陈甄雪首都医科大学附属北京友谊医院 100050

目的:分析母亲心音环境联合袋鼠式干预对早产儿生长发育、胆红素代谢和心肺功能的影响。方法:选取本院2019年1月-2022年1月收治的早产儿96例,随机数字表法分为48例对照组(常规护理模式)和48例观察组(母亲心音环境联合袋鼠式干预护理模式... 详细信息

目的:分析母亲心音环境联合袋鼠式干预对早产儿生长发育、胆红素代谢和心肺功能的影响。方法:选取本院2019年1月-2022年1月收治的早产儿96例,随机数字表法分为48例对照组(常规护理模式)和48例观察组(母亲心音环境联合袋鼠式干预护理模式)。比较两组胆红素代谢、心肺功能、睡眠质量、生长发育情况及产妇护理满意度。结果:两组经皮胆红素值在第24 h、72 h、120 h、168 h呈先上升后下降趋势,第120h达到峰值,且观察组[(72.35±11.21、123.69±12.47、152.36±28.69、86.15.±9.12)μmol/L]均低于对照组[(78.68±12.69、129.23±13.10、177.58±35.52、91.14±11.02)μmol/L],在干预第4、7天两组心率和呼吸频率逐渐降低,血氧饱和度逐渐升高,且观察组变化幅度大于对照组(均P<0.05);在干预第28天,观察组夜间觉醒次数(4.45±0.98次)低于对照组(5.38±1.03次),夜间睡眠时间(10.85±1.38h)和白天睡眠时间(9.24±1.25h)高于对照组(10.12±1.24h、8.63±1.46h),头围(3.12±0.56cm)、身长(5.12±1.25cm)及体重(621.64±101.19g)均高于对照组(2.88±0.48cm、4.45±1.31cm、538.55±92.14g),总护理满意度(95.8%)高于对照组(83.3%)(均P<0.05)。结论:母亲心音环境联合袋鼠式护理模式能有效降低早产儿胆红素水平,改善心肺功能和睡眠质量,促进生长发育,提高家属护理满意度。

关键词：早产儿新生儿护理母亲心音环境袋鼠式胆红素心肺功能睡眠质量生长发育

母乳嗅觉刺激联合音乐干预对静脉穿刺新生儿镇痛及穿刺成功率的影响

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中国计划生育学杂志 2024年第7期32卷 1553-1557页

作者：申陈左力田雨飞李道醒张婧超沈雪孙妍首都医科大学附属北京友谊医院 100050

目的:探讨母乳嗅觉刺激联合音乐干预对静脉穿刺新生儿镇痛及穿刺成功率的影响。方法:选取2021年12月-2023年12月于本院行静脉穿刺的新生儿102例,分为观察组和对照组各51例,两组均给予常规静脉穿刺方法,观察组同时给予母乳嗅觉刺激联合... 详细信息

目的:探讨母乳嗅觉刺激联合音乐干预对静脉穿刺新生儿镇痛及穿刺成功率的影响。方法:选取2021年12月-2023年12月于本院行静脉穿刺的新生儿102例,分为观察组和对照组各51例,两组均给予常规静脉穿刺方法,观察组同时给予母乳嗅觉刺激联合音乐干预。比较两组新生儿疼痛评估量表(NIPS)评分、新生儿面部编码系统(NFCS)评分、新生儿哭闹开始时间和持续时间、一次穿刺成功率、心率(HR)、血氧饱和度(SpO_(2))和穿刺相关并发症。结果:观察组穿刺中、穿刺1 min和2 min后的NIPS评分(4.83±0.74分、2.35±0.67分、0.78±0.40分)、NFCS评分(5.02±1.14分、3.18±0.75分、1.04±0.33分)、哭闹持续时间(54.3±7.2s)、HR(148.1±4.9次/min、149.3±4.8次/min、142.1±4.2次/min)、穿刺相关并发症发生率(5.9%)均低于对照组(5.32±0.88分、3.49±0.56分、1.43±0.47分、5.78±1.09分、4.22±0.93分、1.51±0.48分、110.82±12.28 s、153.8±5.2次/min、155.4±4.9次/min、146.3±4.2次/min、19.6%),新生儿哭闹开始时间(2.8±0.4 s)晚于对照组(2.1±0.2 s),一次穿刺成功率(96.1%)及穿刺中、穿刺1 min和2 min后的SpO_(2)(95.8%±1.9%、95.2%±1.8%、95.0%±1.7%)均高于对照组(82.4%、94.5%±1.7%、94.0%±1.6%、93.6%±1.6%)(均P<0.05)。结论:母乳嗅觉刺激联合音乐干预可有效减轻新生儿对静脉穿刺的疼痛感知,减少新生儿的哭闹时间,有利于提高一次穿刺成功率,降低穿刺相关并发症风险。

关键词：新生儿静脉穿刺母乳嗅觉刺激音乐干预疼痛程度穿刺成功率

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基于图计算的营配数据融合模型构建及应用

电力信息与通信技术 2024年第1期22卷 61-69页

作者：肖凯李道兴王晓辉郭鹏天中国电力科学研究院有限公司北京市海淀区100192

文章首先分析了营配领域业务发展、营配贯通及数据应用现状,基于图理论,提出“营配一张图”数据融合模型构建方法,从提升营配图数据质量的角度,提出基于热重启随机梯度下降算法和余弦退火算法的户变拓扑辨识校正算法;结合营配数据规模... 详细信息

文章首先分析了营配领域业务发展、营配贯通及数据应用现状,基于图理论,提出“营配一张图”数据融合模型构建方法,从提升营配图数据质量的角度,提出基于热重启随机梯度下降算法和余弦退火算法的户变拓扑辨识校正算法;结合营配数据规模及分析处理需求,提出营配图计算算法框架。在此基础上,通过在某省建设营配设备运维知识图谱应用,验证模型构建方法及计算框架的有效性和实用性。

关键词：营配贯通营配一张图图数据图计算知识图谱

维普期刊数据库博看期刊

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中浓纸浆泵内部气液分离数值模拟与试验

排灌机械工程学报 2017年第4期35卷 309-318页

作者：叶道星李红张翔西华大学流体及动力机械教育部重点实验室四川成都610039 江苏大学国家水泵及系统工程技术研究中心江苏镇江212013

为了研究中浓纸浆泵内部的气液分离特征,基于欧拉-欧拉多相流模型,对泵内的流动进行三维非定常数值模拟,分析了转速、抽气真空度和流量对气液分离的影响及瞬态气液分离过程.搭建了基于声呐流量计的泵性能测试系统,研究了中浓纸浆泵运行... 详细信息

为了研究中浓纸浆泵内部的气液分离特征,基于欧拉-欧拉多相流模型,对泵内的流动进行三维非定常数值模拟,分析了转速、抽气真空度和流量对气液分离的影响及瞬态气液分离过程.搭建了基于声呐流量计的泵性能测试系统,研究了中浓纸浆泵运行性能特点.结果表明:随着转速的增大,较高的气体体积分数区域集中于湍流发生器叶片的背面,叶轮内的气体含量减小;随着流量的增大,湍流发生器内气体体积分数较高的区域面积逐渐减小,大流量工况下气体集聚在湍流发生器的背叶片根部.叶轮背面叶片的作用使气液得到了进一步的分离;转速、抽气真空度和流量的增大可以提高叶轮的气液分离能力.叶轮的排气孔附近产生并聚集了大量气体,并伴随着强烈的气液两相流相互作用变化.通过中浓纸浆泵的性能试验研究,发现提高泵的转速和抽气真空度有利于泵内的气液分离,验证了采用数值模拟方法研究中浓纸浆泵内部气液分离的正确性.研究气液分离特征有助于认识中浓纸浆泵内部气液分离过程的演变机理,为中浓纸浆泵的气液分离结构和排气系统提供设计参考.

关键词：中浓纸浆泵气液分离多相流数值模拟试验验证