LED光电参数在线测试分选系统研究
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摘要
随着发光二极管(LED)应用范围的扩大,用户对LED产品质量有了更高的要求,尤其要求LED发光亮度和波长有一致性,所以对LED光、色、电参数的测量也提出了更高的要求。一些企业由于检测水平低,仪器配套性差,检测精度低,产品性能互相之间不可比对;一些企业所依赖的进口测试、分选设备价格很高。这种状况如果长此下去,对我国LED产业的结构和发展十分不利。因此,自行研究LED光、色、电参数在线快速测试及自动分选系统对促进我国的LED产业发展和提高LED的产品质量具有重要的意义。本文主要工作如下:
     1.利用光谱测试仪中线阵CCD的各个像素与LED波长的对应关系,实现了全光谱同时测量。LED光源经线阵CCD、PCI-6023E数据采集卡转换后送入计算机,处理后即可获得光谱功率分布函数P(λ),从而可计算出LED光源色度坐标、纯度、峰值波长以及主波长的值。
     2.设计了LED在线测试电路,通过此电路与PCI数据采集卡之间的通信快速测量LED电学参数;设计了测试系统与自动分选系统之间的通信接口电路,通过测试系统与自动分选系统之间的通信可完成LED各项参数的在线测试,实现了LED测试与分选的自动生产流水线。所设计的LED自动分选系统由LED基本输送装置(圆盘振动输送机、直线振动输送机)、等间隔喂入装置、送料装置、通电夹紧装置和分选装置几部分组成;LED在线测试技术是本论文的重点,对分选系统只作简要介绍。
     3.采用最小二乘多项式拟合LED峰值波长与CCD像素坐标曲线,对实验结果的分析表明:与线性拟合相比,多次拟合可有效提高测量结果的精确度。
     4.采用曲线拟合和查表逐次逼近法计算LED主波长,通过对这两种方法的比较,选用查表逐次逼近法计算LED主波长,可控制主波长重复测量误差小于1nm。
     5.利用LabVIEW软件开发平台,通过应用程序将计算机与专用硬件结合起来,完成对被测量的采集、计算分析等功能,并通过计算机处理给出分选信号,实现了按LED光、色、电参数进行自动分选。
     最后给出了利用本系统测量LED参数的测试结果,分析了影响LED测量精度的因素,并在此基础上提出了一些改进意见和方法。
With the expansion of LED's application scope, the user has higher requirements on LED product quality, especially on LED brightness and wavelength consistency. Therefore, the measurement of LED parameters has higher demand. Because of the poor level of equipment matching, low detection accuracy, some enterprises' product performance can not be compared to each other. Some companies rely on the import testing and sorting equipment, thus the cost of production is very high. It will have unfavorable influence on China's LED industry structure and development in the long run. Therefore, researching on fast on-line testing of LED optoelectronic parameters and automatic sorting systems which is significant for promoting china's industrial development and enhancing LED product quality. The major work of this paper are as follow:
     1. The corresponding relations between the various linear CCD pixel of spectrum tester and LED wavelength is employed to realize the full spectrum measurement at the same time. The LED light source with the conversion of linear CCD and PCI-6023E is sent to computer, and processed to get the spectrum power distribution function P (λ), which can be used to calculate LED light source chromaticity coordinates, purity, peak wavelength and dominant wavelength values.
     2. LED on-line test circuit is designed, LED electrical parameters can be rapidly measured through the communication between the circuit and PCI data acquisition card. Communications interface circuit between the testing system and automatic sorting system is designed. It can realize automatic production pipelining of LED testing and automatic sorting through the communication between the testing system and sorting system. LED automatic sorting system includes several parts: LED transportation equipment, interval feeding equipment, feeding equipment, electricity clamping equipment and sorting equipment. This paper focuses on on-line testing technology of LED, the sorting system only for brief.
     3. A least squares polynomial fits LED's peak wavelength and CCD pixel coordinates curve, the analysis of the experimental results shows that: Compared with the linear fitting, Polynomial fitting can effectively improve the precision of the testing results.
     4. Curve fitting and Look-up successive approximation method are employed to calculate LED's dominant wavelength. Through the comparison of two methods, look-up table method of successive approximation is exported to calculate dominant wavelength, the dominant wavelength measurement error is less than 1 nm.
     5. Using LabVIEW software development platform, it completes the acquisition, calculation and analysis capabilities of the measured parameter through the combination of application program and hardware. The signal of the LED light, color, electrical parameters for automatic sorting is given by the testing system.
     Finally, the test results which is obtained by the system are given. The paper analyzes the factors which have impact on the LED testing accuracy, furthermore, a number of improvements and methods are raised.
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