一种非接触式稀土荧光自参比温度传感器

发展了一种非接触式稀土荧光自参比温度传感器,即将有机稀土配合物K[Yb(Az)₄]包埋在苯乙烯-甲基丙烯酸甲酯共聚物中,并附着在洁净的石英片上制备得到了温度传感薄膜Yb@PSMM。通过研究不同温度下Yb3+的荧光发射光谱,利用其在近红外波段荧光性质随温度变化的规律,开发了一种比率型稀土荧光温度传感方法,其原理是通过不同温度下Yb3+的荧光发射光谱的形状随温度的变化,结合在不同温度下Yb3+的核外电子在外层Stark劈裂亚能级上的分布符合Boltzmann分布律的特点,利用其近红外荧光发射光谱中900 nm~990 nm波长范围内与990~1 150 nm波长范围内的积分峰面积比的自然对数与温度的倒数呈现的线性关系作为温度测量的标准曲线,实现了-195~105 ℃范围内的温度精确测量。经考察,该发光温度传感器在0 ℃附近的温度测量分辨率达到了0.1 ℃。与已报道的发光温度传感器相比,提出的新型温度传感器具有如下几个优势：其一,所选用的发光材料的Stokes位移大于500 nm,有效地避免了环境背景干扰;其二,由于采用荧光积分峰面积而非荧光强度作为考察对象,大大减小了测量中由于仪器或测量次数较少引入的随机误差;其三,采用同一发光材料的荧光发射光谱中两个荧光峰面积的比值,相当于在体系中引入了自参比,有效避免了由于荧光材料的浓度、几何构型以及光源强度等外界因素变化对测量结果产生的影响;其四,利用稀土发光材料作为温度传感材料,可以利用其荧光寿命长、单色性好、强度高的特点;其五,温度传感膜本身不溶于水,也不在水中扩散,便于直接测量原位温度变化;其六,Yb3+的发光位于900~1 150 nm的近红外波长范围,而这个波段的荧光具有较好的穿透性使得该温度传感器有望在复杂体系的温度传感、成像等领域发挥重要作用。在实际测量的装置中,通过调整光路使得辐照在样品上的入射光斑大小仅约为1 mm2,并将Yb@PSMM固体膜样品的放置方向与入射激发光的夹角设置为225°,从而规避了入射光源的反射光对检测器的影响,而具有较好穿透能力的近红外荧光几乎不受影响,从而进一步确保了该温度传感器的测量结果。     

Self-calibration of multi-camera networks without feature correspondence between different cameras

An automatic calibration approach for multi-camera networks is proposed to calibrate the intrinsic parameters of each camera and the extrinsic parameters between different cameras. Firstly, the moving objects are tracking, and the feature points are detected and calculated by a matching method from image sequences. And then we estimate the intrinsic parameters of each camera respectively by a self-calibration method from the motion of feature points, while estimating the rotation and translation of each camera with respect to the object. Thirdly, we estimate the extrinsic parameters between different cameras from the rotation and the motion of each camera with respect to the object. Our method only needs to track the motion of objects in each camera without the correspondence between different cameras. It avoids the difficulty of the correspondence between different cameras in real networks. Experiments with simulated data and real images are carried out to verify the theoretical correctness and numerical robustness.     

Human emotions detection based on a smart-thermal system of thermographic images

This work presents a noninvasive methodology to obtain biomedical thermal imaging which provide relevant information that may assist in the diagnosis of emotions. Biomedical thermal images of the facial expressions of 44 subjects were captured experiencing joy, disgust, anger, fear and sadness. The analysis of these thermograms was carried out through its thermal value not with its intensity value. Regions of interest were obtained through image processing techniques that allow to differentiate between the subject and the background, having only the subject, the centers of each region of interest were obtained in order to get the same region of the face for each subject. Through the thermal analysis a biomarker for each region of interest was obtained, these biomarkers can diagnose when an emotion takes place. Because each subject tends to react differently to the same stimuli, a self-calibration phase is proposed, its function is to have the same thermal trend for each subject in order to make a decision so that the five emotions can be correctly diagnosed through a top-down hierarchical classifier. As a final result, a smart-thermal system that diagnose emotions was obtained and it was tested on twenty-five subjects (625 thermograms). The results of this test were 89.9% successful.     

Noise immune unwrapping based on phase statistics and self-calibration

Unwrapping is an important step for precise phase measurement in an interferometric technique. Due to the effects of noises and speckles, an accurate unwrapping has been quite difficult. To address this issue, a new phase unwrapping method is proposed. The new method uses the wrapped phase statistics together with the limited smoothness characteristics of the interference phase. In this method, statistical parameters of the wrapped phase are firstly obtained. The step is then followed by a self-calibration process to identify and correct corrupted data points to obtain preliminary unwrapped phases. Finally, a phase revision step is taken to remove the effects of the residual errors. A computational testing was carried out to demonstrate the performance of the proposed method at six different levels of noise injection. An experimental test was also carried out using a lateral shearing interferometer. The success and the precision achieved using the proposed algorithm show that the method is quite effective and accurate for phase recovery under the condition of noise contaminations.     

融合单目视觉的激光扫描投影系统自标定方法

为解决现有激光扫描投影系统中需要手动标定的问题,提出了融合单目视觉的激光扫描投影系统自标定方法。首先建立了融合单目视觉技术的激光扫描投影系统模型,给出了融合单目视觉的激光扫描投影系统自标定方法;其次建立了单目相机与激光扫描投影系统、被投影物体之间的数学模型;最后运用Matlab软件进行模拟仿真,证明融合单目视觉的激光扫描投影系统自标定方法可以解决上述问题。同时为验证融合单目视觉的激光扫描投影系统自标定方法的精度是否满足激光扫描投影系统的需求,将Matlab软件求解的实验结果与SA软件求解的实验结果进行对比,并分析精度与距离、角度等外部因素的关系。仿真实验结果表明:当距离一定时,单目相机旋转角度为55°时,单目相机距离投影仪和被投影物体的范围为1.5~3 m,且满足投影仪的精度要求。同时通过自主搭建新型激光扫描投影系统,证明了融合单目视觉的激光扫描投影系统自标定方法具有实际可操作性和可行性。     

Self-calibration in a fiber optic sensing system using the walk-off compensation

We firstly present a concept of a self-calibration of the classical and quantum parameters’ measurement using a fiber optic system. The measurement of the change in phase of the optimum entangled states’ visibility is performed in terms of a walk-off length, i.e. birefringence. The applied physical parameters on the sensing fiber can be simultaneously measured and the self-calibration respecting the birefringence performed. The scheme of the entangled photons generation in fiber optic is reviewed and the walk-off on the polarization entangled states presented. The potential of self-calibration and simultaneous measurement using an interferometric sensing technique and fiber grating sensor are proposed and discussed. The walk-off on the entangled states in the thermal-controlled environment is presented and discussed.     

振动传感器智能化的研究与实现

在测控领域内,随着传感器技术和微处理器技术的发展,对传感器的精确度、可靠性要求越来越高,要求传感器具有一定的数据处理、自我检测、自我纠错能力,并且具有数据通信和扩展组网功能。为了满足这个要求,文中提出了一种基于CAN总线技术的振动传感器智能化方案,详细介绍了智能传感器节点硬件电路和固件程序设计的具体实现。对智能节点进行静态和动态测试,静态环境下传感器电压值输出为2.5V,上位机对数据处理后作图,符合实际要求;动态环境下,将传感器置于连续振动环境,数字量数据接收后经处理作图,与标准传感器波形图进行比较,满足设计要求。     

痕量气体可调谐激光二极管吸收光谱分析系统在线自校准技术研究

可调谐激光二极管吸收光谱技术(TDLAS)是最有潜力的痕量气体在线监测技术之一。受测量原理的限制,其测量结果受温度和气压影响很大,目前多采用现场安装传感器来测量温度和气压信息,以对该误差进行修正。提出了利用在线参考气室对TDLAS系统中温度、气压变化引起的测量误差进行在线自校准;该参考气室内包含标准浓度的被测气体,并带有能变形的压力膜盒,工作的时候,该气室被放置在被测气体工作环境中,能自适应地调整室内气压和温度;在一次扫描过程中同时测得工作光路和参考光路的吸收光谱,并求得二者的吸收谱线强度比,即可得到校准后的被测痕量气体的浓度,无需考虑温度和气压影响;还介绍了这一自校准系统的原理、设计、实验和现场应用。     

Tree-shaped paper strip for semiquantitative colorimetric detection of protein with self-calibration

This paper described a convenient semiquantitative method for colorimetric detection of protein with self-calibration integrated on the test strip. Hydrophilic paper was employed as microfluidic device for running colorimetric assay, tree-shaped design was developed to ensure uniform microfluidic flow for multiple branches. The approach was validated with bovine serum albumin (BSA) colorimetric detection, and colorimetric results observed by naked eyes were consistent with that from apparatus. The device could be coupled with digital transmission of images for remote monitoring system for diagnosis, food control, and environmental analysis.     

基于自校验直接线性变换的星载SAR图像定位方法研究

应用摄影测量理论,将星载SAR图像近似看作一个多中心投影传感器获取的等效影像,基于星载 SAR共线方程给出了SAR图像的自校验直接线性变换定位模型.选用一景北京地区RadarSat影像进行实验.结果表明,自校验直接线性变换模型表达简单,求解稳定,不需要任何轨道信息和成像参量且校正准确度保持在像素级范围之内,因而该模型适用于星载SAR图像的准确定位.