核电站继电保护二次回路可视化技术

针对核电站继电保护二次回路设备运维难度大等问题,提出了一种核电站继电保护二次回路可视化运维平台.首先分析了核电站继电保护二次回路的可视化功能需求,并设计了其架构和方案;其次从设备运行状态、配置描述文件管理、故障信息传递等方面对全景可视化进行了研究;最后建立了核电站继电保护二次设备故障诊断与告警模型,实现了核电站的智能化预警.该可视化运维平台可大幅度提升核电站运维管理的智能化水平.     

外饰喷涂件用基材与底漆特性对橘皮的影响

分别从底漆粗糙度、溶剂溶解度参数、塑料基材耐溶剂性等方面对外饰件漆膜橘皮的影响因素进行了分析和讨论,提出了相应的优化措施.     

Machine Learning Reduced Gene/Non-Coding RNA Features That Classify Schizophrenia Patients Accurately and Highlight Insightful Gene Clusters

RNA-seq has been a powerful method to detect the differentially expressed genes/long non-coding RNAs (lncRNAs) in schizophrenia (SCZ) patients; however, due to overfitting problems differentially expressed targets (DETs) cannot be used properly as biomarkers. This study used machine learning to reduce gene/non-coding RNA features. Dorsolateral prefrontal cortex (dlpfc) RNA-seq data from 254 individuals was obtained from the CommonMind consortium. The average predictive accuracy for SCZ patients was 67% based on coding genes, and 96% based on long non-coding RNAs (lncRNAs). Machine learning is a powerful algorithm to reduce functional biomarkers in SCZ patients. The lncRNAs capture the characteristics of SCZ tissue more accurately than mRNA as the former regulate every level of gene expression, not limited to mRNA levels.     

一种高压断路器伺服控制器设计方案

为进一步提升高压断路器智能化水平,在高压断路器电机直驱机构研究的基础上,分析了永磁体尺寸对电机性能的影响,设计了电机直驱高压断路器伺服控制系统。其伺服控制器硬件系统包含功率变换模块、转子位置检测模块、电压及电流采样模块以及通信模块等,同时,基于此硬件系统设计实现了各模块之间的信息交互以及系统控制的软件系统。搭建伺服控制器与高压断路器电机直驱机构的试验样机,进行高压断路器的分、合闸操作特性测试。试验结果表明：所提出的高压断路器伺服控制器设计方案可以驱动断路器动触头根据设定曲线完成分、合闸操作,具有响应速度快、实时性能好、跟踪误差小等优点,同时可以实现操作过程数据的存储及通信。     

一种MMC子模块电容电压波动最小化容值优化方法

模块化多电平变换器MMC(modular multilevel converter)广泛应用于直流配电系统。MMC由多个子模块组成,减小子模块电容可以降低子模块成本,提高变换器功率密度。分析了共模电压、环流和调制比对电容电压波动的影响,利用电容电压波动的解析表达式,通过注入合适幅值和相位的三次共模电压和二、四次环流,选取最优调制比,使目标函数电容电压纹波达到最小化,从而在一定电容电压波动率下使其电容取值达到最小化。采用所提方法可以使子模块电容容值的需求降低至常规方法的22%,变换器功率损耗降低至常规方法的87%,而开关管电流应力与现有方法相比只增加0.5%。RT-LAB实时仿真结果验证了所提理论的正确性和可行性。     

Facile Fabrication of Poly(vinyl alcohol)/Polyquaternium-10 (PVA/PQ-10) Anion Exchange Membrane with Semi-Interpenetrating Network

Anion exchange membranes (AEMs) are one of the core components of AEM fuel cells. A series of poly(vinyl alcohol)/polyquaternium-10 (PVA/PQ-10) AEMs with semi-interpenetrating networks (s-IPNs) are prepared by a simple solution-casting method using glutaraldehyde (GA) as a cross-linking agent. Subsequently, the prepared PVA/PQ-10 cross-linked membranes are characterized by Fourier transform infrared spectroscopy, scanning electron microscopy, thermogravimetric analysis, mechanical analysis, water uptake and swelling ratio tests, ion exchange capacity (IEC) tests, ionic conductivity measurements, and oxidative/alkaline stability tests. The effects of the mass ratio of PVA and PQ-10 and the amount of cross-linking agent GA on the performance of the PVA/PQ-10 cross-linked membranes are systematically explored. The results show that the cross-linked PVA/PQ-10 AEMs have high IEC and low water uptake and swelling ratio, and its maximum ionic conductivity can reach 79.37 mS cm^–1 at 80 °C. In addition, the PVA/PQ-10 cross-linked membrane has good oxidative and alkaline stability under optimal preparation conditions. These results may provide valuable insights toward more effective scheme designs and new, simple preparation methods for AEMs with s-IPN structures.     

Preparation of Iron Filler-Based Photocomposites and Application in 3D Printing

The introduction of metallic fillers to polymers via the photopolymerization approach can endow the composite materials with some unique properties, but the relevant research is still scarce due to the issue of light penetration and inner filter effect. Herein, for the first time the fabrication of photocomposites based on fine iron powder (i.e., a typical kind of metallic filler) is reported in this work. The free radical polymerization of two different acrylate monomers, poly(ethylene glycol) diacrylate and trimethylolpropane triacrylate, is performed in the presence of iron filler under mild conditions (i.e., light emitting diode (LED)@405 nm irradiation at room temperature under air). And the real-time Fourier transform infrared spectroscopy reveals remarkable photopolymerization kinetics of acrylates with high final conversions and fast polymerization rates despite the increasing contents of iron filler in the composites. Interestingly, the 3D printing technique is applied to the iron filler-based composites to produce tridimensional patterns with excellent spatial resolution. This work not only paves the way for the investigation of photocomposites based on metallic fillers through photochemical methods, but also broadens the potential application prospects.     

Effects of micro-sized mullite on cristobalite crystallization and properties of silica-based ceramic cores

Silica-based ceramic cores are extensively used in investment casting process, during which they must exhibit sufficient flexural strength and deformation resistance. In this study, micro-sized mullite was used as an additive to silica-based ceramic cores to optimize their high temperature properties. To investigate the effects of micro-sized mullite on cristobalite crystallization, mechanical and thermal properties of silica-based ceramic cores, ceramic cores with different amounts of micro-sized mullite were fabricated. The XRD results showed that additional micro-sized mullite diminished the crystallization of cristobalite at high temperatures, primarily caused by the mullite related compressive stresses on the surface regions of fused silica particles. Three-point bending tests and SEM results showed that micro-sized mullite had a more significant effect on the flexural strength of ceramic cores compared with conventional additives. Particularly, the fracture mechanism of silica-based ceramic cores had been changed from intergranular fracture into a mixed fracture consisting of both intergranular and transgranular fracture. The mechanical and thermal properties of ceramic cores were all reduced slightly as the mullite content exceed 4.6 wt%. Hence, to optimize the properties of silica-based ceramic cores, the micro-sized mullite content should not exceed 4.6 wt%.     

（C5H7N2O2）4（SiMo12O40）的合成、结构及催化氧化碘离子研究

采用常规水溶液法合成了一种新型的有机-无机杂化多金属氧酸盐（C₅H₇N₂O₂）₄（SiMo₁₂O₄₀）（简称SiMo-12）。采用红外光谱（IR）、热重分析（TG）、单晶和粉末X射线衍射（XRD）、元素分析等对SiMo-12进行了表征。以过氧化氢为氧化剂,运用SiMo-12催化碘离子氧化,考察了催化剂用量、氧化剂用量、pH、温度等因素对反应速率的影响。结果表明：该化合物属三斜晶系,P-1空间群,晶胞参数a=1.097 58（4） nm、b=1.144 88（4） nm、c=1.252 66（4） nm、α=64.665（1）°、β=64.804（1）°、γ=83.441（1）°、V=1.282 89（8） nm³、Z=1、R=0.034 0、wR₂=0.079 9。化合物由4个1-咪唑乙酸和一个经典的Keggin型[SiMo₁₂O₄₀]^4-单元组成,有机配体和多金属氧酸阴离子之间通过静电作用、质子转移以及氢键作用沿x轴形成一维链,链与链之间相互平行形成平行于xy面的二维层,层与层之间再通过氢键连接而得到三维网状结构。SiMo-12在催化碘离子氧化中表现出较为优异的催化活性,在c（SiMo-12）=2.0×10^-4 mol/L、c（过氧化氢）=2.0×10^-3 mol/L、pH=1.4、50 ℃条件下反应速率达到2.641 6×10^-5 mol/（L·s）,比未加催化剂时的反应速率提高了1 565倍。     

高比例新能源接入电网光热发电-火电联合调峰优化控制方法

为了解决高比例新能源接入电网调峰能力不足的问题,提出光热发电-火电联合调峰优化控制方法.分析光热发电的可调节特性以及光热发电-火电联合调峰控制的可行性,基于此,提出高比例新能源接入电网光热发电-火电联合调峰优化控制模式;进而提出以系统受阻风光电最小为目标的光热发电-火电联合调峰优化控制方法.算例仿真表明所提优化控制方法可有效提高系统调峰能力以及减少受阻风光电量.