红外相机技术在河北雾灵山国家级自然保护区中的应用

为了充实河北雾灵山自然保护区的野生动物资源本底资料,提高监测能力和监测水平,雾灵山保护区自2015年开始将红外相机技术应用到野生动植物的资源调查和管护中。目前应用红外相机技术发现兽类5目10科14种,鸟类4目6科10种,掌握了区内主要物种猪獾(Arctonyx collaris)、狍(Capreolus)和勺鸡(Pucrasia macrolopha)的日活动节律,补充了保护区的本底调查资料,为保护区进一步开展金钱豹(Panthera pardus)、斑羚(Naemorhedus goral)和鸟类多样性等科学研究奠定了基础,为保护区制定关于野生动物资源的相关管护政策提供了科学依据。     

钻头磨损在线监测研究

本文研究了钻头磨损对钻削过程中振动加速度信号的动态特性的影响。发现加速度信号中敏感频率分量随着钻头磨损的增加呈明显的“碟形”规律变化。我们提出用敏感频率分量的自功率谱值(PSD)作为特征量。建立了特征量与钻孔数之间的状态空间方程;提出了钻头磨损在线自适应监测方法。该方法打破了故障诊断和状态识别中设置“阈值”的传统做法;另辟蹊径。     

水稻中系8541与中系8240光合特性的比较研究

本文通过光合作用参数的测定,详细的研究了中系8541和8240两种不同产量水平的水稻品种的光合特性.论述了在含等量叶绿素的条件下,中系8541和中系8240之间在对光谱的吸收、叶片的光合作用量子转化效率,叶绿体的PSⅡ(光系统Ⅱ)潜在活性(Fv/F_0)和原初光能转化效率(Fv/Fm等的主要区别.实验结果说明,上述各光合作用参数中系8541都优于中系8240.不仅如此.在Mg~(2+)作用下,Fv/Fo和Fv/Fm比值的提高以及Mg~(2+)对两个光系统激发能分配的调节能力中系8541也强于中系8240.     

红肉脐橙(Citrus sinensis L.)果肉中特征色素提取方法探索

红肉脐橙是目前为止惟一果肉呈粉红色或红色的脐橙,其呈色色素尚未见报道。为深入研究其果肉中特征色素的构成及在果实生长发育和贮存过程中色素含量的变化,本研究在对该色素初步定性的基础上对提取方法进行了探索。在分析红肉脐橙果肉中色素萃取液的紫外可见吸收光谱时发现,该色素有类胡萝卜素的特征吸收峰,将萃取液进行薄层层析则进一步证实其内含有番茄红素。在色素提取的前处理方式上,本研究认为冷冻干燥样品的浸提效果较真空干燥的样品稳定(变异系数小),且浸提率相差无几,所以选择冷冻干燥作为合适的样品前处理方式。色素浸提条件的正交实验结果表明,最佳浸提条件为50℃、1.5h内浸提4次,浸提的料液比为1:60。此外,浸提温度、浸提时间、浸提料液比和浸提次数对浸提率都有显著影响,影响最大的因素是浸提温度,最佳温度为50℃,随温度降低浸提率显著降低。其次是侵提时间的长短,最佳浸提时间为1.5h,延长或缩短0.5h都会使浸提率下降。浸提次数对浸提率的影响是最小的。     

Prediction of chemical composition and peroxide value in unground pet foods by near‐infrared spectroscopy

The massive development of the pet food industry in recent years has lead to the formulation of hundreds of canine and feline complete extruded foods with the objective of meeting both the needs of the animals and numerous demands from pet owners. In the meantime, highly variable raw material compositions and the industry's new production techniques oblige manufacturers to monitor all phases of the extrusion process closely in order to ensure the targeted composition and quality of the products. This study aimed at evaluating the potential of infrared technology (visible and near‐infrared spectrophotometer; 570–1842 nm) in predicting the chemical composition and peroxide value (PV) of unground commercial extruded dog foods. Six hundred and forty‐nine commercial extruded dog foods were collected. For each product, an unground aliquot was analysed by infrared instrument while a second aliquot was sent to a laboratory for proximate analysis and PV quantification. The wide range of extruded dog food typologies included in the study was responsible for the wide variability observed within each nutritional trait, especially crude fibre and ash. The mean value of the 208 pet foods sampled for PV quantification was 17.49 mEq O₂/kg fat (min 2.2 and max 94.10 mEq O₂/kg fat). The coefficients of determination in cross‐validation of NIRS prediction models were 0.77, 0.97, 0.83, 0.86, 0.78 and 0.94 for moisture, crude protein, crude fat, crude fibre, ash and nitrogen‐free extract (NFE) respectively. PV prediction was less precise, as demonstrated by the coefficient of determination in cross‐validation (0.66). The results demonstrated the potential of NIRS in predicting chemical composition in unground samples, with lower accuracy for moisture and ash, while PV prediction models suggest use for screening purposes only.     

X射线荧光光谱法快速测定稻谷中的镉

探索了一种对稻谷中重金属镉的快速、直接的测定方法,以适用稻谷集中收购、存储和流通过程中快速检测的的需要。样品无需前处理,直接磨成粉状即可上机测定。该方法采用X射线荧光光谱分析的原理,样品中的待测元素受激产生特征X射线,并由高性能探测器接收,得到镉元素的信号强度,然后根据信号强度与浓度的比例关系,经过软件处理自动计算样品中镉的含量,20min内完成精确定量。检出限可达到0.034mg/kg,实物标样标准偏差为0.016。此方法简单快速,并且准确性高,重现性好,可广泛应用于稻谷中镉的快速检测。     

Feasibility analysis of NIR for detecting sweet corn seeds vigor

This paper explores the feasibility of particle-based detection and grading of seed vigor based on a self-built seed single-granulation device using near infrared spectroscopy (NIRS). Sweet corn with uniform kernel size was used for this study. The seed samples were divided into three types, they were normal seeds, artificially aged seeds and heat-damaged seeds. A 2-part spectral acquisition of each seed were performed, one for the collection of seeds that fall into the detection zone within the separation pipe, another was on the static platform, whose collection was performed on 5 faces of each seed. Partial least squares discriminant analysis (PLS-DA) was used to classify the original data of the seeds. In the 2 parts, the discriminant results of the unprocessed normal seeds and the artificial accelerated aging seeds, the untreated normal seeds and the heat-damaged seeds showed that classification accuracy was higher than 98%. The research indicates that the spectral data of different positions of seeds can reflect their activity information, and it is feasible to detect and classify seeds in real time in the detection area of the separation pipeline.     

基于分数阶微分视频融合的森林烟火检测算法

森林火灾检测是国内外林业应用研究的重要课题之一。及时准确地检测到森林火灾，对于森林健康及环境安全意义重大。现有的利用视频技术检测森林火灾的方法大多针对单一波段，如可见光波段或红外波段的视频信息进行分析，然而在实际应用过程中，由于森林环境复杂，基于单一波段视频信息检测火灾的结果欠佳。现阶段，基于多个波段的森林火灾检测方法非常少。本文综合利用红外及可见光视频特征，提出了一种基于分数阶微分视频融合的森林烟火检测算法，将分数阶微分理论引入红外视频和可见光视频融合中，利用分数阶微分算子对两个波段视频进行融合，然后利用背景去除法检测融合视频中的异常帧，且对异常帧图像及其与背景帧的差分图像分别进行图像分割，最终得到检测出的森林烟火区域。采用空间频率、平均梯度、森林火灾检测准确率和森林火灾检测时间误差度4个测度对本文算法和基于区域能量融合算法、基于窗口方差融合算法、基于HSI变换融合算法进行定量分析和比较。结果表明，本文算法的融合视频的融合效果最佳，并且森林火灾检测准确率和森林火灾检测时间误差均明显优于其他3种算法，说明本文提出的算法具有较好的有效性和准确性，为森林火灾检测提供了有利的新途径。      

光辐射染色木材的变色规律及化学组分结构的变化

以I-214杨木染色单板为试材、氙光作为辐射光源,考察其在100h光照过程中表面颜色的变化规律;依据红外光谱图的谱峰位置和谱峰相对吸收强度,分析和确定光变色过程中染色杨木木材的化学组分。结果表明:染色杨木木材受光辐射易发生变色,其中酸性蓝染色单板的明度指数L*和色品指数b*变化显著,其光变色度显著大于酸性大红GR染色单板;若以波数1510cm-1为基准,非共轭羰基C=O振动的吸收峰(1738cm-1)吸收强度显著增强;共轭羰基C=O伸缩振动的吸收峰(1650cm-1)吸收强度有所增强;芳香环骨架C-C振动的吸收峰(1510cm-1)吸收强度明显减弱;C-O-H振动的吸收峰(1160～1052cm-1)吸收强度有所减弱。