大型立式泵机组用同步电机两个高差的安装控制

电机定转子磁场中心高差和叶轮与外壳中心高差影响机组运行,分析了影响这两个高差的因素,应保证泵机组在运行状态下这两个高差满足要求,提出了高差安装确定控制方法。     

煤层气抽采直流微网建模与稳定性分析

针对目前煤层气抽采现场用电不合理现状,构建一种新型煤层气抽采直流微网供电系统,并对该直流微网系统稳定性及控制策略进行研究。煤层气抽采直流微网供电系统分三层结构:第一层由光伏和蓄电池组成能量供给层;第二层由双向Buck/Boost变换器构成能量传输和分配层;第三层由煤层气抽采机构成负荷层。基于此架构推导了第一、二层输出阻抗Zo(s),并建立第三层煤层气抽采机电动机输入阻抗Zin(s)与受控源K??m串联的小信号模型,在此基础上得到系统全局小信号模型。考虑到呈现负阻抗特性的煤层气抽采机电动机周期性动态交变负荷引起的系统不稳定,在能量传输和分配层分析并讨论了一种基于虚拟阻抗的直流微网稳定性控制策略,以及利用下垂控制实现负荷功率动态平衡分配的方法。进一步利用阻抗匹配原则求解多项式1/(1+Zo(s)/Zin(s))主导极点,比较采取该稳定性控制策略前后的主导极点位置并分析直流微网系统稳定性。最后基于Matlab/Simulink搭建由光伏阵列、储能单元和煤层气抽采机组成的煤层气抽采直流微网系统模型,系统仿真证明了稳定性控制策略的有效性。     

依靠可靠性管理提高机组稳定性

论述了发电设备可靠性在电力系统中的重大意义。借助可靠性管理对设备检修进行管理,为设备提供最佳的检修工期及最佳检修时间,并逐步完成由计划检修向状态检修过渡,及时根据设备情况提供有效的可靠性分析,为设备状态检修做出裁决,使设备真正做到“有病则医,无病运行”,在生产的全过程充分发挥可靠性管理的重要作用。     

元宝山电厂快控汽门的研究与实施

在分析和介绍元宝山电厂和辽西电网情况的基础上，着重介绍了对元宝山电厂３００ＭＷ机组实施快控汽门的研究、试验工作及主要的技术成果。该厂３００ＭＷ机组快控汽门方式的投入，提高了电网稳定性和经济效益。     

MODELING METHOD OF 4D INFORMATION MODEL FOR COOPERATIVE DESIGN OF MECHANICAL PRODUCTS

The continuous developing features in the design of mechanical product and based on 3D entity model is aimed at, and the extension of the 4-dimensional model with the process of designing, the knowledge described model on the level of semantic understanding and summarizing the designing process and the way of discovering knowledge from multi-information model are studied. On the basis of designing the broad sensed collaborative system, through discussion of the relationship between the implicit knowledge of the users and the designing knowledge as well as commanding all the designing links, taking advantage of the way of concluding and deducting in the concept of the designers, the synthetic knowledge unit formed in the dynamic process from the conception design to the last design is schemed out, and the knowledge discovered principle in the dynamic designing process of the mechanical products and the key technology in its implementation under the milieu of network is brought forward.     

面向机械加工工艺的知识辅助系统研究

目前知识系统中存在知识利用率不高、对使用者辅助性不足等问题,通过研究人在计算机辅助下快速利用知识的规律,提出了人机结合的知识辅助方法,利用知识单元对领域知识进行组织和知识测题建立个人知识结构评测方法.给出了应用本方法提供快速辅助和知识检测的知识系统框架.以机械加工工艺为应用实例,实现用户对知识的高效利用.     

T-NTRU物联网动态接入认证技术

物联网终端安全接入认证是保证电力物联网大规模建设的关键性技术.传统认证方案通常采用的椭圆曲线密码算法,计算量大,不能抵抗量子攻击.数论研究单元算法可以抵抗量子攻击,与椭圆曲线密码采用点乘算法相比,计算速度快.因此提出了一种时间变换数论研究单元算法物联网动态安全接入认证算法,使用动态变化时间序列通过哈希函数产生动态密钥,...     

Laminin as a Biomarker of Blood–Brain Barrier Disruption under Neuroinflammation: A Systematic Review

Laminin, a non-collagenous glycoprotein present in the brain extracellular matrix, helps to maintain blood–brain barrier (BBB) integrity and regulation. Neuroinflammation can compromise laminin structure and function, increasing BBB permeability. The aim of this paper is to determine if neuroinflammation-induced laminin functional changes may serve as a potential biomarker of alterations in the BBB. The 38 publications included evaluated neuroinflammation, BBB disruption, and laminin, and were assessed for quality and risk of bias (protocol registered in PROSPERO; CRD42020212547). We found that laminin may be a good indicator of BBB overall structural integrity, although changes in expression are dependent on the pathologic or experimental model used. In ischemic stroke, permanent vascular damage correlates with increased laminin expression (β and γ subunits), while transient damage correlates with reduced laminin expression (α subunits). Laminin was reduced in traumatic brain injury and cerebral hemorrhage studies but increased in multiple sclerosis and status epilepticus studies. Despite these observations, there is limited knowledge about the role played by different subunits or isoforms (such as 411 or 511) of laminin in maintaining structural architecture of the BBB under neuroinflammation. Further studies may clarify this aspect and the possibility of using laminin as a biomarker in different pathologies, which have alterations in BBB function in common.     

AU-aware Algorithm for 3D Facial Reconstruction

As a critical task in computer vision and animation, 3D face reconstruction can provide 3D model structures and rich semantic information for multi-modal facial applications. However, monocular 2D facial images lack depth information and the parameters of the predicted facial model are not reliable, which causes poor reconstruction results. We propose to employ facial Action Unit (AU) and key facial points which are highly correlated with model parameters as a bridge to guide the regression of model-related parameters and thus solve the ill-posed monocular face reconstruction. Based on existing face reconstruction datasets, we provide a complete semi-automatic labeling scheme for facial AUs and construct a 300W-LP-AU dataset. Furthermore, a 3D face reconstruction algorithm based on AU awareness is put forward to realize end-to-end multi-tasking learning and reduce the overall training difficulty. Experimental results show that the algorithm can improve the face reconstruction performance, with high fidelity of the rebuilt facial model.     

储层流动单元研究新技术在油田开发中的应用

流动单元研究提供了精细解剖砂体,表征砂体内部非均质性的新方法。本文在传统流动单元划分的基础上应用流动带指标新方法(F z)进行储层流动单元的定量划分,为合理进行油田开发动态分析提供依据,同时开辟了一个可预测可操作的有效流动单元研究方法。