静态小波变换荧光检测水中矿物油信号的去噪方法

荧光分析法具有灵敏度高、选择性好、易于设计等优点,是检测水中油类污染物的重要手段。光电探测器产生的噪声会影响荧光检测系统的灵敏度,荧光信号的噪声消除一直是研究的热点问题。由于荧光信号增加了支集长度,dbN族小波能够解决信号的边界问题,通过比较dbN族不同小波基的去噪效果,选择db7为最优小波基,对含噪荧光信号作5层静态小波分解。根据小波熵理论自适应地选择阈值,高频系数经过阈值量化并重构得到纯净的荧光信号。与离散小波变换相比,静态小波变换去噪后信号具有信息完整性和时移不变性。     

原油样品激光诱导荧光的时间分辨光谱特性研究

为探索激光诱导时间分辨荧光光谱技术应用于海洋悬浮溢油原位探测的可行性,对来自胜利油田六个不同井区不同密度的原油样品的时间分辨荧光光谱进行了探测分析。结果发现,各原油样品荧光发射的持续时间基本相同,从ICCD中数字延时发生器(DDG)的输入延时52 ns开始,到输入延时82 ns左右结束,各原油样品的荧光峰强度随时间变化曲线的半高宽约10 ns;不同原油样品的最强荧光峰位及其衰减寿命不尽相同,并且与样品密度有一定相关性,密度相近的原油具有相近的最强荧光峰位和相似的荧光寿命。对比六种原油样品的时间分辨荧光光谱发现,在荧光增强时,原油荧光光谱峰位不变,当荧光从最大强度开始衰减时,六种原油样品的荧光光谱峰位均出现了不同程度(17~30 nm)的红移现象,这一定程度上反映出原油中各荧光组分的荧光衰减速率存在差异,或者存在荧光组分之间的能量传递。所观测到的原油密度相关的时间分辨光谱信息和荧光峰红移现象可望成为水下悬浮溢油识别的有效特征之一。     

一种改进的三帧差分运动目标实时检测算法

针对传统的三帧差分法提取的运动目标存在大量的噪声和空洞,提出了一种改进的三帧差分运动目标实时检测算法。该算法采用Surendra背景提取算法提取有效背景,对视频流中连续的三帧图像分别进行背景减除,得到的结果作为反馈对背景进行选择性更新,利用HSV颜色空间去除阴影后进行三帧差分,将差分结果进行“与”运行,通过将中间帧背景减除结果与“与”运算的结果进行“或”运算,这样可以得到运动目标的完整信息。实验结果表明,该算法能够快速、完整、准确地检测出运动目标,可有效应用于实时监控系统。     

光学元件双转子抛光技术中类高斯型去除函数建模与逼近

在Preston假设基础上,研究并推导了光学元件抛光过程中"花瓣"型截面磨头在双转子运动形式下的去除函数.提出了"花瓣"型截面磨头的离散点弧长表达方法,并讨论了该方法的适用范围;基于离散点弧长法,推导了"花瓣"型截面磨头在双转子运动形式下的去除函数表达式;根据可调步长式曲线逼近原理研究了类高斯型目标去除函数的逼近算法;并得到了类余弦型去除函数的双转子抛光模参量.从而证明了双转子抛光技术可以得到类高斯型去除函数.     

聚酯废弃物改性植物油沥青粘结剂的红外研究

采用蒸馏厂的下脚料——各种植物油沥青(棉油沥青、豆油沥青、混合油沥青)为主要原料,用聚酯废弃物为改性剂,经裂解、酯化等工艺制备成三种铸造用植物油沥青粘结剂(MB)。同时采用红外光谱和热重分析等手段对该三种粘结剂的基团结构,性能与固化机理进行探索,并与合脂粘结剂比较。 结果表明：改性粘结剂的主要成分与合脂粘结剂大致相同,且具有更高的干拉强度、更慢的发气速度等优异性能,达到甚至超过合脂粘结剂的性能,可用于Ⅰ级型芯砂的粘结,而且成本低廉。     

光助Fenton试剂氧化降解染料直接耐晒黑G的研究

文章研究了影响Fenton试剂氧化降解持久性有机污染物直接耐晒黑G的因素,如光源的选择、初始pH值、H₂O₂的用量、Fe2+的用量、阳离子交换树脂载体的引入等,通过研究确定了各因素的优化条件。研究结果表明：太阳光照能有效的促进直接耐晒黑G染料的降解脱色,大大缩短反应时间;引入阳离子交换树脂后,可增强Fenton氧化反应的活性,降解效果更好。     

Main Components of Xinjiang Lavender Essential Oil Determined by Partial Least Squares and Near Infrared SpectroscopySCIEI北大核心CSCD

This work was undertaken to establish a quantitative analysis model which can rapid determinate the content of linalool, linalyl acetate of Xinjiang lavender essential oil. Totally 165 lavender essential oil samples were measured by using near infrared absorption spectrum(NIR), after analyzing the near infrared spectral absorption peaks of all samples, lavender essential oil have abundant chemical information and the interference of random noise may be relatively low on the spectral intervals of 7100-4 500 cm(-1). Thus, the PLS models was constructed by using this interval for further analysis. 8 abnormal samples were eliminated. Through the clustering method, 157 lavender essential oil samples were divided into 105 calibration set samples and 52 validation set samples. Gas chromatography mass spectrometry (GC-MS) was used as a tool to determine the content of linalool and linalyl acetate in lavender essential oil. Then the matrix was established with the GC-MS raw data of two compounds in combination with the original NIR data. In order to optimize the model, different pretreatment methods were used to preprocess the raw NIR spectral to contrast the spectral filtering effect, after analysizing the quantitative model results of linalool and linalyl acetate, the root mean square error prediction(RMSEP) of orthogonal signal transformation (OSC) was 0.226, 0.558, spectrally, it was the optimum pretreatment method. In addition, forward interval partial least squares (FiPLS) method was used to exclude the wavelength points which has nothing to do with determination composition or present nonlinear correlation, finally 8 spectral intervals totally 160 wavelength points were obtained as the dataset. Combining the data sets which have optimized by OSC-FiPLS with partial least squares(PLS) to establish a rapid quantitative analysis model for determining the content of linalool and linalyl acetate in Xinjiang lavender essential oil, numbers of hidden variables of two components were 8 in the model. The performance of the model was evaluated according to root mean square error of cross-validation (RMSECV) 9 root mean square error of prediction (RMSEP). In the model, RESECV of linalool and linalyl acetate were 0.170 and 0.416, respectively; RMSEP were 0.188 and 0.364. The results indicated that raw data was pretreated by OSC and FiPLS, the NIR-PLS quantitative analysis model with good robustness, high measurement precision; it could quickly determine the content of linalool and linalyl acetate in lavender essential oil. In addition, the model has a favorable prediction ability. The study also provide a new effective method which could rapid quantitative analysis the major components of Xinjiang lavender essential oil.     

基于不同光谱技术的原油样品的荧光分析

应用同步扫描、三维发射以及目前石油荧光仪所采用的二维发射荧光分析技术对胜利油田15个井区25种原油样品在10-4 g·L-1～10 g·L-1浓度范围内进行了光谱采集,对比分析了不同光谱技术所获取的光谱信息与浓度之间的相应关系。结果表明,对于原油这种多组分样品,二维发射光谱难以满足分析要求;三维光谱信息丰富但数据采集与提取困难。同步扫描光谱具有简单快捷、光谱特征丰富明显、干扰小等特点,选择Δλ为40 nm获得的原油同步扫描光谱可反映三维光谱的主要信息。与二维发射光谱和三维光谱相比,同步荧光法在原油样品分析中显现出较大优势和发展空间,可望发展成为石油录井中对岩屑岩芯样品含油量的定量分析的新方法。     

润滑油中添加剂元素光谱分析研究

以船用内燃机油为研究对象,利用原子发射光谱对润滑油中的添加剂成分进行量化确定。根据MOA原子发射光谱仪的工作原理,选择校正曲线法定量,提出对不在测量精度范围内的添加剂元素含量用0 μg·g-1的空白标油进行稀释测量的方法,并进行误差计算。试验结果表明,添加剂各元素钙、磷和锌的测量相对标准偏差分别为1.6%,4.8%和4.6%,样品稀释前后的测量误差结果分别为4.21％,6.99％和5.09％。     

The tribology properties of alumina/silica composite nanoparticles as lubricant additives

The as-prepared alumina/silica (Al₂O₃/SiO₂) composite nanoparticles were synthesized with a hydrothermal method and modified by silane coupling agent. The tribological properties of the modified Al₂O₃/SiO₂ composite nanoparticles as lubricating oil additives were investigated by four-ball and thrust-ring tests in terms of wear scar diameter, friction coefficient, and the morphology of thrust-ring. It is found that their anti-wear and anti-friction performances are better than those of pure Al₂O₃ or SiO₂ nanoparticles. When the optimized concentration of nanoparticle additive is 0.5 wt.%, the diameters of wear scar and friction coefficients are both smallest. Such modified composite nanoparticles can adsorb onto the friction surfaces, which results in rolling friction. Therefore, the friction coefficient is reduced.