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Very Short-Term Forecasting of Distributed PV Power Using GSTANN

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CSEE Journal of Power and Energy Systems 2024年第4期10卷 1491-1501页

作者： Tiechui Yao Jue wang yangang wang Pei Zhang Haizhou Cao Xuebin Chi Min Shi Computer Network Information Center of the Chinese Academy of Sciences Beijing 100190China University of Chinese Academy of Sciences Beijing 100190China School of Electrical Engineering Beijing Jiaotong UniversityBeijing 100044China State Grid Hebei Electric Power Co. Ltd.Shijiazhuang 050000China

Photovoltaic(PV)power forecasting is essential for secure operation of a power *** prediction of PV power can improve new energy consumption capacity,help power system planning,promote development of smart grids,and ultimately support construction of smart energy ***,different from centralized PV power forecasts,three critical challenges are encountered in distributed PV power forecasting:1)lack of on-site meteorological observation,2)leveraging extraneous data to enhance forecasting performance,3)spatial-temporal modelling methods of meteorological information around the distributed PV *** address these issues,we propose a Graph Spatial-Temporal Attention Neural Network(GSTANN)to predict the very short-term power of distributed ***,we use satellite remote sensing data covering a specific geographical area to supplement meteorological information for all PV ***,we apply the graph convolution block to model the non-Euclidean local and global spatial dependence and design an attention mechanism to simultaneously derive temporal and spatial ***,we propose a data fusion module to solve the time misalignment between satellite remote sensing data and surrounding measured on-site data and design a power approximation block to map the conversion from solar irradiance to PV *** conducted with real-world case study datasets demonstrate that the prediction performance of GSTANN outperforms five state-of-the-art baselines.

关键词： Distributed photovoltaic power forecasting graph convolutional networks satellite images spatial-temporal attention

A causal convolutional neural network for multi-subject motion modeling and generation

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Computational Visual Media 2024年第1期10卷 45-59页

作者： Shuaiying Hou Congyi wang Wenlin Zhuang Yu Chen yangang wang Hujun Bao Jinxiang Chai Weiwei Xu State Key Lab of CAD&CG Zhejiang UniversityHangzhou310058China Xmov Shanghai200030China School of Automation Southeast UniversityNanjing210096China

Inspired by the success of WaveNet in multi-subject speech synthesis,we propose a novel neural network based on causal convolutions for multi-subject motion modeling and *** network can capture the intrinsic characteristics of the motion of different subjects,such as the influence of skeleton scale variation on motion ***,after fine-tuning the network using a small motion dataset for a novel skeleton that is not included in the training dataset,it is able to synthesize high-quality motions with a personalized style for the novel *** experimental results demonstrate that our network can model the intrinsic characteristics of motions well and can be applied to various motion modeling and synthesis tasks.

关键词： deep learning optimization motion generation motion denoising motion control

王彦刚基于“核心病机观”从“浊毒”论治胃癌前病变

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长春中医药大学学报 2024年第2期40卷 144-149页

作者：赵婷婷王彦刚徐楚楚北京中医药大学第三附属医院北京100029

王彦刚教授承古拓今提出了疾病的“核心病机观”理论,他认为浊毒内蕴脾胃为贯穿于胃癌前病变之始末的“核心病机”,浊毒胶结不解是胃癌前病变病情进展之病机关键,也是其迁延不愈、多阶段发展的重要病理因素。在治疗上,以化浊解毒为根本... 详细信息

王彦刚教授承古拓今提出了疾病的“核心病机观”理论,他认为浊毒内蕴脾胃为贯穿于胃癌前病变之始末的“核心病机”,浊毒胶结不解是胃癌前病变病情进展之病机关键,也是其迁延不愈、多阶段发展的重要病理因素。在治疗上,以化浊解毒为根本大法,选用自拟化浊解毒方为主要方药,随证行以清热、祛湿、行气、化积、宣郁、健脾、益胃等治法,使热邪清、浊毒化、清阳升、浊阴降,痰化瘀除,脾升胃降,气机通畅,及时阻断病情发展甚至逆转胃癌前病变,收效显著,颇具临床指导意义。

关键词：核心病机观浊毒胃癌前病变化浊解毒王彦刚

电推进涵道风扇气动快速求解方法及性能分析研究

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推进技术 2024年第3期45卷 131-138页

作者：刘乾刘汉儒尚珣王掩刚西北工业大学动力与能源学院陕西西安710129 中国空气动力研究与发展中心气动噪声控制重点实验室四川绵阳621000

随着绿色航空发展,为了能在设计阶段快速获得涵道风扇气动性能参数和非定常流场特征,有必要开发一种高效的数值求解方法。基于小型电推进风扇内流弱可压和尾迹耗散特性,本文将转子和涵道的面元与尾迹涡粒子耦合,使用面元法求解固壁流场... 详细信息

随着绿色航空发展,为了能在设计阶段快速获得涵道风扇气动性能参数和非定常流场特征,有必要开发一种高效的数值求解方法。基于小型电推进风扇内流弱可压和尾迹耗散特性,本文将转子和涵道的面元与尾迹涡粒子耦合,使用面元法求解固壁流场,使用涡量输运方程求解远场尾迹传播特征,克服了有限体积法尾迹耗散快的问题。研究表明,本文发展的面元-涡粒子耦合方法对涵道风扇叶表压力与有限体积法趋势一致,整体推力误差为7.83%,能满足工程快速预测需求。本文发展的高效非定常计算方法的尾迹计算数值耗散低,能揭示更为复杂的非定常流动现象,仿真结果显示风扇涵道对尾迹发展有明显约束,而当尾迹传播至外部时,涡量呈现出明显的收缩和对称分布特征。在计算效率方面,本文发展的耦合方法非定常计算效率高,计算相同非定常时间步耗时仅为有限体积法的1/6,具有潜在的涵道动力非定常设计应用价值。

关键词：电推进系统涵道风扇面元-涡粒子法非定常气动计算快速预测方法

分布式电推进系统中涵道风扇耦合效应的试验与数值研究

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推进技术 2024年第3期45卷 149-159页

作者：周芳王掩刚王思维陈延俊邱亚松西北工业大学动力与能源学院陕西西安710129 西北工业大学航空学院陕西西安710072

基于分布式电驱动涵道风扇推进系统在气动性能、推进效率和鲁棒性方面具有极大应用潜力,系统中复杂的耦合效应缺乏深入研究和理解。本文应用试验与数值模拟相结合的方式研究了某分布式涵道风扇系统中推进器之间的耦合效应,分析了推进器... 详细信息

基于分布式电驱动涵道风扇推进系统在气动性能、推进效率和鲁棒性方面具有极大应用潜力,系统中复杂的耦合效应缺乏深入研究和理解。本文应用试验与数值模拟相结合的方式研究了某分布式涵道风扇系统中推进器之间的耦合效应,分析了推进器之间耦合干涉作用的规律与机理,为推动分布式电驱动涵道风扇的飞行器工程应用提供理论基础。研究结果表明:相较于风扇的孤立型布局,分布式布局风扇进口存在速度畸变影响涵道风扇性能,导致推力降低4%;分布式布局中风扇之间的耦合效应等效于风扇两侧存在虚拟且无黏的壁面结构,该虚拟壁面结构会诱发风扇两侧的两对流向涡;机翼-风扇之间的耦合效应表现为机翼的有黏壁面结构,会诱发风扇唇口上方的流动分离以及近机翼侧的一对流向涡;在分布式布局中涵道风扇出现转速下降或失效时,仅会对邻近风扇的性能造成影响,由于边缘风扇失效只有一个邻近风扇摄取失效风扇上游的流量,而中间风扇失效有两个邻近风扇用于摄取流量,边缘风扇失效对流动的影响高于中间风扇。

关键词：分布式布局孤立型布局涵道风扇耦合效应风扇失效

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涵道风扇部件耦合设计方法及初步应用

推进技术 2024年第3期45卷 139-148页

作者：王思维王掩刚陈延俊刘汉儒和润生西北工业大学动力与能源学院陕西西安710072 中国航空工业空气动力研究院黑龙江哈尔滨150001

涵道风扇是未来绿色航空动力的重要发展方向,快速、准确的涵道风扇设计方法成为工程领域的迫切需求。在传统的涵道风扇设计方法中,部件间的耦合效应需要建立在完善的三维数值计算或试验数据的基础之上。而本文发展了考虑涵道风扇关键部... 详细信息

涵道风扇是未来绿色航空动力的重要发展方向,快速、准确的涵道风扇设计方法成为工程领域的迫切需求。在传统的涵道风扇设计方法中,部件间的耦合效应需要建立在完善的三维数值计算或试验数据的基础之上。而本文发展了考虑涵道风扇关键部件耦合效应的设计方法,形成了涵道风扇一体化设计手段,并以此为基础开展了涵道风扇的一体化设计及验证工作。结果表明:相比于简单叠加设计方法,耦合设计使叶片推力设计误差由15%减小到3.5%;采用部件耦合方法设计的带有扩张喷管涵道风扇和等直径喷管涵道风扇的转静叶片推力设计误差满足工程需求,确认了部件耦合的设计方法正确传递了部件间的影响关系;通过试验对设计结果进行了推力校验,试验结果与设计点的总推力误差为1.25%,证明了本文发展的耦合设计方法的准确性。

关键词：耦合设计涵道风扇设计方法风扇叶片喷管

Cranial ultrasound in perioperative period of acute severe traumatic brain injury

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中国医学影像技术 2024年第8期40卷 1156-1159页

作者： wang yangang LYU Zhenpu ZHENG Xianzhao QIN Zheng LI Jianxin GE Ran ZHAO Feifei Department of Neurosurgery Jiaozuo People's HospitalJiaozuo 454000China Department of Neurology Jiaozuo People's HospitalJiaozuo 454000China

Objective To observe the value of cranial ultrasound for perioperative patients with acute severe traumatic brain injury(sTBI).Methods Data of 55 sTBI patients who underwent craniotomy were retrospectively *** patients were divided into observation group(n=15)and control group(n=40)according to received perioperative cranial ultrasound or *** general data and surgical data were compared between groups,and ultrasonic data of observation group were *** The proportions of good prognosis 1 and 6 months after operation in observation group were both higher than those in control group,while the incidence of cerebral infarction in observation group was lower than that in control group(all P0.05).Acute encephalocele occurred in 1 case in observation group during operation,and cranial ultrasound accurately showed the contralateral secondary epidural *** intracranial pressure in different degrees were found in all 15 cases(15/15,100%)in observation group after operation with transcranial color coded Doppler(TCCD)or transcranial Doppler(TCD),while cerebral vascular spasm was observed in 5 cases(5/15,33.33%),among them 4 cases(4/5,80.00%)were diagnosed cerebral infarction based on CT *** Cranial ultrasound could be used to evaluate changes of sTBI in perioperative period and guide adjusting treatment strategy in time,being valuable for reducing risk of postoperative cerebral infarction and improving prognosis.

关键词： craniocerebral trauma perioperative period ultrasonography

SIGLEC-1与1型糖尿病自身免疫机制:新兴研究视角

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中华内分泌代谢杂志 2024年第7期40卷 570-572页

作者：郭梦琪王颜刚李树法青岛大学附属医院心血管内科 266003 青岛大学附属医院内分泌与代谢科 266003

Diabetologia的最新研究发现, 唾液酸结合免疫球蛋白样凝集素1(SIGLEC-1)阳性单核细胞在1型糖尿病早期发病中扮演关键角色。这些细胞主要通过干扰素信号通路, 而非传统抗原呈递方式, 激活免疫效应细胞, 进而引发胰岛炎症和破坏。这一发... 详细信息

Diabetologia的最新研究发现, 唾液酸结合免疫球蛋白样凝集素1(SIGLEC-1)阳性单核细胞在1型糖尿病早期发病中扮演关键角色。这些细胞主要通过干扰素信号通路, 而非传统抗原呈递方式, 激活免疫效应细胞, 进而引发胰岛炎症和破坏。这一发现为1型糖尿病的早期诊断与靶向治疗开辟了新的途径。

关键词： SIGLEC-1 单核细胞糖尿病 1型自身免疫反应干扰素信号通路

Investigation of the Unsteady Disturbance in Tip Region of a Contra-Rotating Compressor near Stall

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Journal of Thermal Science 2019年第5期28卷 962-974页

作者： CHEN Weixiong wang yangang wang Hao School of Power and Energy Northwestern Polytechnical University

The present study investigated the spectrum characteristics of unsteady disturbance and the tip leakage vortex evolution during pre-stall process for a contra-rotating axial compressor(CRAC). Transient numerical simulation was carried out in a single passage of the CRAC. The original transient fluctuation and oscillation of the tip leakage vortex structure with varying flow capacity of the CRAC were revealed using circle-like pattern figure and phase-locked root mean square(PLRMS). Additionally, the tip leakage flow in terms of vortex structure evolution was visualized for the sake of revealing the flow mechanism during pre-stall process. Results show that the unsteady fluctuation first appears at φ=0.3622, and the fluctuation frequency is 2.86 BPF. Unsteady disturbance source is mainly located at the tip side of the downstream rotor leading edge. From the choking point to the near stall condition, tip leakage vortex is always found in the tip leading edge of the upstream rotor. In addition, the tip leakage vortex of upstream rotor remains in the same place over time, i.e., no fluctuation, even when the downstream rotor entered into stall state. Such a phenomenon indicates that the stall point of the contra-rotating compressor is determined by the downstream rotor. Moreover, the maximum fluctuation position is mainly concentrated on the interface between the mainstream and the tip leakage vortex of the downstream rotor. By throttling the compressor, the angle between the main leakage vortex and the circumferential direction decreases gradually. When the main leakage vortex touches and continuously impacts on the leading edge of the adjacent blade, the unsteady disturbance, which is different from that of BPF, appears firstly.

关键词： contra-rotating axial compressor blade passing frequency tip leakage flow unsteady disturbance source phase-locked RMS