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.     

非制冷色散式成像光谱仪辐射传递模型

根据接收信号信噪比,研究了基于非制冷微测辐射热计阵列构造色散式成像光谱仪的可行性.综合考虑目标红外辐射特性、大气传输透过率、仪器接收孔径、色散式光谱仪辐射传递特性、红外阵列探测器参数、数据链传输等环节,建立了完善的色散式长波红外成像光谱仪辐射能量传递模型.选用典型地物红外发射率数据,非制冷微测辐射热计红外焦平面阵列参数,利用低分辨率大气辐射传输计算软件LOWTRAN生成大气红外透过率曲线,依据传递模型,计算了以非制冷微测辐射热计阵列为探测器的色散式长波红外成像光谱仪可达到的光谱分辨率,验证了依据非制冷红外探测器构建小型红外成像光谱遥感器的潜力.     

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.     

智能终端发展关键技术探讨

智能终端产品(包括手机、平板和混合式的移动计算设备)在个人和商业应用场合大量使用,终端在高速计算能力方面更新迅猛,处理能力军备竞赛将陷入硬件瓶颈,同质现象成为现实,而人机交互技术、终端应用开发环境、终端安全云服务等将成为影响智能终端向纵深人群渗透和更商业化应用领域发展的决定要素。本文旨在探讨、分析和展示上述几个关键技术的新进展和演进趋势。     

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。