面向建筑健康监测的无人机自主巡检与裂缝识别

面向建筑健康的高时效监测需求,为提升表面病害视觉检测的自动化水平,提出了场景信息引导的无人机自主巡检任务规划方法。利用场景先验信息,针对建筑结构特征,设计了平行观测和包络观测两种观测模式,实现了狭窄空间中独栋建筑的全覆盖避障巡检,获取了毫米级分辨率的整体建筑观测影像,并对巡检质量的整体评估提出了有效的量化指标。将建筑立面划分为3 720个子区域,利用深度残差网络开展了裂缝识别分类。错分13个子区域,漏分14个子区域,裂缝识别精度高。将裂缝骨架线映射到建筑三维模型,为裂缝形态与建筑整体的一体化表达提供了数据支撑。该研究将高精度三维重建与表面病害识别相结合,为建筑健康一体化监测提供了有效的观测分析手段。     

软开关的单开关三相功率因数校正整流器的研究

提出了一种零电流开关结构的单开关管的三相升压功率因数校正整流器 .软开关动作可用低功率的辅助电路来实现 .文中分析了ZCT电路的工作原理 ,给出了电路设计的准则 ,并对一个1kW、50kHz的整流器进行了仿真 .结果显示总谐波失真小于 9% .     

不同条件下铱负载催化剂性能的比较研究

To discuss the potential role of iridium (Ir) nanoparticles loaded under atmospheric and high pressures, we prepared a series of catalysts with the same active phase but different contents of 10wt%, 20wt%, and 30wt% on gamma-alumina for decomposition of hydrazine. Under atmospheric pressure, the performance of the catalyst was better when 30wt% of the Ir nanoparticles was used with chelating agent that had greater selectivity of approximately 27%. The increase in the reaction rate from 175 to 220 h?1 at higher Ir loading (30wt%) was due to a good dispersion of high-number active phases rather than an agglomeration surface. As a satisfactory result of this investigation at high pressure, Ir catalysts with different weight percentages showed the same stability against crushing and activity with a characteristic velocity of approximately 1300 m/s.     

Graphene/SrTiO3 hetero interface studied by X-ray photoelectron spectroscopy

The present paper focuses on study of graphene and strontium titanate(SrTiO_3 or STO) interface. An ambient pressure chemical vapour deposition(AP-CVD) setup is used to grow graphene on STO(110)substrates in the presence of methane, argon and hydrogen gases at 1000 °C for 4 h. Raman spectroscopy measurements confirm the presence of graphene on STO substrates due to the existence of typical D and G peaks referring to graphene. These characteristic peaks are missing in the spectrum for bare substrates.X-ray photoelectron spectroscopy(XPS) is carried out for elemental analysis of samples, and study their bonding with STO substrates. We employed the valence band spectrum to calculate the valence band offset(VBO) and conduction band offset(CBO) at the G-STO interface. Also, we present an energy band diagram for Bi-layer and ABC(arranging pattern of carbon layers) stacked graphene layers.     

Silicon nanowires as efficient thermoelectric materials

Thermoelectric materials interconvert thermal gradients and electric fields for power generation or for refrigeration. Thermoelectrics currently find only niche applications because of their limited efficiency, which is measured by the dimensionless parameter ZT-a function of the Seebeck coefficient or thermoelectric power, and of the electrical and thermal conductivities. Maximizing ZT is challenging because optimizing one physical parameter often adversely affects another. Several groups have achieved significant improvements in ZT through multi-component nanostructured thermoelectrics, such as Bi(2)Te(3)/Sb(2)Te(3) thin-film superlattices, or embedded PbSeTe quantum dot superlattices. Here we report efficient thermoelectric performance from the single-component system of silicon nanowires for cross-sectional areas of 10 nm x 20 nm and 20 nm x 20 nm. By varying the nanowire size and impurity doping levels, ZT values representing an approximately 100-fold improvement over bulk Si are achieved over a broad temperature range, including ZT approximately 1 at 200 K. Independent measurements of the Seebeck coefficient, the electrical conductivity and the thermal conductivity, combined with theory, indicate that the improved efficiency originates from phonon effects. These results are expected to apply to other classes of semiconductor nanomaterials.