500 kV电流互感器爆炸事故分析

湖北省某500kV变电站的电流互感器发生爆炸事故,暴露出不少问题:故障录波器、事件记录器、保护装置和监控系统的时钟不统一,时差大,不便于故障分析;母线保护动作,未闭锁部分开关的重合闸和无法启动部分开关的失灵保护,使故障扩大;微机事件记录器丢失了大量后续重要故障信息,不利于故障分析。应针对上述问题采取有效措施予以改进。     

500 kV肇庆至花都送电线路工程设计简析

500kV肇庆至花都送电线路在设计全过程中,始终按照“限额设计”要求指导设计。该工程结合地形复杂且基础作用力较大的实际,对铁塔和基础进行优化设计,共设计了13种新塔型,并率先在国内首次采用等截面斜柱基础。这些铁塔和基础具有施工方便、制造成本经济等特点,其材料指标达到国内先进水平。     

气化炉内壳体裂纹分析及修复

针对煤加压气化炉内壳体焊缝出现的裂纹,分析了裂纹产生的原因,并从焊材的选择、焊接坡口的形式及工艺参数的选择等方面入手,制定了合理的焊接工艺,在修复中取得了满意的效果。     

蓝牙技术在微机防误闭锁系统中的应用

介绍了将在500 kV双河变电站率先采用新的FY2000LY(蓝牙)微机防误闭锁系统,该系统开创性地采用先进的蓝牙无线通讯技术实现了微机防误装置电脑钥匙与主控系统之间,以及电脑钥匙之间的无线信息同步。实现了电力系统微机防误装置从“离线式”进入了“在线式”。     

500 kV输电线路用复合绝缘子憎水性能分析

介绍了河北省南部电网500 kV输电线路复合绝缘子的运行与试验情况,分析了复合绝缘子憎水性能明显下降的原因。     

GIS技术在500 kV架空输电线路信息化管理中的应用

华东电网500 kV输电线路GIS管理系统以GIS为基础平台,是对华东区域内500 kV交、直流输电线路进行多方位管理的高效工具,其功能主要包括设备管理、运行管理及高级功能管理.该系统的投运为华东电网的运行管理提供了有力的支持和方便的平台.     

High-performance B4C-LaB6 composite ceramics fabricated via hot-pressing sintering with La2O3 as sintering additive

The B₄C-LaB₆ composite ceramics were fabricated via hot-pressing sintering at 2050 °C and 20 MPa pressure with the mixture of boron carbide (B₄C) and 2–5 wt% lanthanum oxides (La₂O₃) as raw materials. The effects of additive La₂O₃ content on the microstructures and mechanical properties of composite ceramics were investigated, and reaction mechanisms of La₂O₃ and B₄C at different temperatures were studied in detail. La₂CO₅, La₃BO₆ and LaBO₃ were formed by the reactions of La₂O₃ and B₄C at different temperatures, and finally LaB₆ was formed below 1600 °C. The comprehensive mechanical properties of B₄C-LaB₆ composite ceramics were optimized by adding 4 wt% La₂O₃, the flexural strength, fracture toughness and Vickers hardness reached 350 MPa,4.92 MP am^1/2 and 39.08 GPa, respectively. The high densification and flexural strength of composite ceramics achieved in the present study were attributed to LaB₆ hindering the movement of grain boundary. However, the densification was reduced caused by CO as La₂O₃ content increased to 5 wt%. The fast channel was formed via B₄C reacting with La₂O₃, which accelerated migration of B₄C in the sintering process. The content of La₂O₃ played an important role in the fracture mode of the composite ceramics, and ultimately affected the fracture toughness of the composite ceramics.     

Preparation and structure control of a scalelike MoSi2-borosilicate glass coating with improved contact damage and thermal shock resistance

The scalelike coatings with MoSi₂ as emittance agent, flake fused quartz as coarse fillers, silica sol as dispersive medium of coating slurry, were prepared on rigid mullite fibrous ceramics to avoid fatal radial cracks and improve thermal shock resistance via combining slurry method with sol-gel method. And the particle size distribution of fused silica was changed to get different crack structure in scalelike coatings. Microstructure and phase composition of the coatings with different crack structure were investigated comprehensively. Contact damage resistance, thermal shock resistance and infrared radiating property were also studied. The results showed that only the coatings with mixing large and small particles of fused silica as coarse fillers could form crack network. The scalelike coatings with crack network went through 25 thermal cycles between 1500 °C and room temperature without peeling and spalling, and the bonding strength did not decrease after test. The scalelike structure with crack network also avoided radial cracks and exhibited some softness and less stiffness in Hertzian indentation test. The emissivity of coatings with different crack structure were all higher than 0.85; and the coatings with lower proportion of crack areas had higher emissivity.     

HSRS-SC:面向遥感场景分类的高光谱图像数据集

目的 场景分类是遥感领域一项重要的研究课题，但大都面向高分辨率遥感影像。高分辨率影像光谱信息少，故场景鉴别能力受限。而高光谱影像包含更丰富的光谱信息，具有强大的地物鉴别能力，但目前仍缺少针对场景级图像分类的高光谱数据集。为了给高光谱场景理解提供数据支撑，本文构建了面向场景分类的高光谱遥感图像数据集（hyperspectral remote sensing dataset for scene classification，HSRS-SC）。方法 HSRS-SC来自黑河生态水文遥感试验航空数据，是目前已知最大的高光谱场景分类数据集，经由定标系数校正、大气校正等处理形成。HSRS-SC分为5个类别，共1 385幅图像，且空间分辨率较高（1 m），波长范围广（380~1 050 nm），同时蕴含地物丰富的空间和光谱信息。结果 为提供基准结果，使用AlexNet、VGGNet-16、GoogLeNet在3种方案下组织实验。方案1仅利用可见光波段提取场景特征。方案2和方案3分别以加和、级联的形式融合可见光与近红外波段信息。结果表明有效利用高光谱影像不同波段信息有利于提高分类性能，最高分类精度达到93.20%。为进一步探索高光谱场景的优势，开展了图像全谱段场景分类实验。在两种训练样本下，高光谱场景相比RGB图像均取得较高的精度优势。结论 HSRS-SC可以反映详实的地物信息，能够为场景语义理解提供良好的数据支持。本文仅利用可见光和近红外部分波段信息，高光谱场景丰富的光谱信息尚未得到充分挖掘。后续可在HSRS-SC开展高光谱场景特征学习及分类研究。