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浏览/检索结果: 共9条，第1-9条 帮助 限定条件 内容类型：会议论文    专题：长春光学精密机械与物理研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 The design and implementation of temperature acquisition system based on PXI (EI CONFERENCE) 会议论文 2012 International Conference on Control Engineering and Communication Technology, ICCECT 2012, December 7, 2012 - December 9, 2012, Shenyang, Liaoning, China Ji S.; Zhu M.; Wang J.; Lei Y. 收藏  |  浏览/下载：26/0  |  提交时间：2013/03/25 This paper introduces the design of temperature acquisition system which is based on the PXI-6251 DAQ device  thermocouple acquisition module SCXI-1102 and the LabVIEW program language of NI. The design of temperature collection software and the configuration of hardware are described in details. The software developed in LabVIEW program language can acquire temperature data rapidly  what's more  the acquired data can be displayed real timely and saved to the disk. It is proved that the system is easy to practical use and can extraction mean square value and mean value after gathering the stable high-speed temperature. The function can be extended according to the demands of users. 2012 IEEE.   System design on a field emission with phosphor detection (EI CONFERENCE) 会议论文 2009 International Symposium on Liquid Crystal Science and Technology, August 2, 2009 - August 5, 2009, Kunming, China An J.; Deng C.; Li Y.; Sun T. 收藏  |  浏览/下载：14/0  |  提交时间：2013/03/25 It is well-known that the phosphor is widely used for the field emission display (FED)  and its luminescent and temperature properties are very important for the effect of display. In this paper  we propose a measurement scheme for the phosphor  and design a test-equipment to test the luminescent and temperature properties of phosphor. Furthermore  the equipment can also be used for the life-test of the phosphor because it can generate a great excitation power. Finally  there are design principle  structure and some data and result which we obtained in the experiment. These data will be very useful for the design of FED. (2010) Trans Tech Publications.   Research on the laboratory radiometric calibration of the thermal imager (EI CONFERENCE) 会议论文 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, April 26, 2010 - April 29, 2010, Dalian, China Lu Z.; Sun Q.; Wang J.; Lu Z.; Liu Y. 收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25 The radiometric calibration of the thermal imager was investigated to build the relationship between the input radiance and the digital output to realize the temperature measurement. The radiometric calibration was implemented in the State Key Laboratory of Applied Optics. A standard black body source was served as radiation source. The response of the thermal imager to the input radiance was tested for different gains. The experimental results show that the average grey level of the output imaging is linear dependence of the input radiance. Because the radiance in the receiving wave range of the thermal imager is linear with the black body's temperature based on Planck's law of radiation  the average grey level of the output image is also linear with the black body's temperature after fitting a curve to the experiment data points. Then the relationship of the response and the gain was studied when the black body's temperature kept constant. The preliminary analysis of calibration data shows that the response of the thermal imager is linear and the average grey value of the image is directly proportion to the gain. According to the experimental results  the reference gains and the dynamic range of temperature measurement were obtained. Finally  the uncertainty influencing the calibration results was analyzed  the analysis shows the maximal uncertainty is 5.2%  which can meet the calibration requirement less than 10%. 2010 Copyright SPIE - The International Society for Optical Engineering.   Dynamic data fixing for IR target radiation characteristics (EI CONFERENCE) 会议论文 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Lihua C.; Juan C. 收藏  |  浏览/下载：20/0  |  提交时间：2013/03/25 The main methods to measure the target IR features are the following two ways: test and then measurement  or theoretical and simulation calculation. The former is direct measurement so the results are more accurate but the test is costly and complicated  so that it is limited in the application. Theoretical and simulation calculation are widely used in the target IR radiation calibration. Here we give the basic configuration of the calibration platform for measuring the IR radiation of the large area low temperature blackbody source  and discuss the calibration flowchart and key technologies for atmospheric transmission correction. The dynamic data are analyzed in real time to determine the IR radiation features in the data fusion subsystem  and the experimental results show that the calibration method is feasible and practical. 2010 IEEE.   Ground-based measurement of the space object temperature (EI CONFERENCE) 会议论文 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes, April 26, 2010 - April 29, 2010, Dalian, China Wang G.-Q.; Wu Y.-H.; Wang J.-L.; Zhao J.-Y. 收藏  |  浏览/下载：37/0  |  提交时间：2013/03/25 Multi-band IR data of the space object can be used in the fields of object identification and space surveillance. The radiation characteristics of the object can be obtained by analyzing these data. These characteristics include temperature  area  emissivity  absorptivity  reflectivity  and temporal trends. The infrared radiation temperature of the space object is an important characteristic from which the object's working state in orbit can be judged. We apply the method of measuring the spectral distribution of the object and fit the data to the Planck formula to determine the temperature. In order to improve the precision of measuring temperature on the space object  we optimize the centric wavelength and the bandwidth effectively. Also  we use a simple program to implement temperature measurement. 2010 Copyright SPIE - The International Society for Optical Engineering.   Prediction model of molten iron endpoint temperature in AOD furnace based on RBF neural network (EI CONFERENCE) 会议论文 2010 International Conference on Logistics Systems and Intelligent Management, ICLSIM 2010, January 9, 2010 - January 10, 2010, Harbin, China Ma H.-T.; You W.; Chen T. 收藏  |  浏览/下载：20/0  |  提交时间：2013/03/25 According to Jilin Ferroalloy Factory 10-ton AOD furnace actual smelting condition  analyzes the impact factor of AOD furnace molten iron endpoint temperature  by optimizing the neural network connection weights and structure  design prediction model of molten iron endpoint temperature based on RBF neural network  using LM algorithm and 50 furnaces actual production data to train the model  and predicts another 50 furnaces molten iron temperature  Result shows that prediction model of molten iron endpoint temperature based on RBF neural network has a high accuracy  when the error of endpoint temperature is 12 C  hit rate of temperature is 82.4%. 2010 IEEE.   Space camera focusing forecast based on RBF network (EI CONFERENCE) 会议论文 Computational Intelligence and Intelligent Systems: 4th International Symposium, ISICA 2009, Huangshi, China, October 23-25, 2009. Proceedings, Tiergartenstrasse 17, Heidelberg, D-69121, Germany Wu X.; Liu J.; Yu D. 收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25 As circumstance temperature of space camera changes  flex of structural components and distortion of optical components lead to change of focal length and image quality. Radial Basis Function (RBF) network is used to approximate the complex nonlinear relation between focalization quantity  image quality  temperature level and axial temperature difference of space camera. After the RBF Network is trained with thermo-optical experiment data  temperature level and axial temperature difference could be input to the network to obtain colder value of best image position. In this way focusing forecast under different temperatures can be realized. Results of focusing forecast experiment validate this method. 2009 Springer-Verlag Berlin Heidelberg.   BP neural network application on surface temperature measurement system based on colorimetry (EI CONFERENCE) 会议论文 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, July 8, 2007 - July 12, 2007, Chengdu, China Sun Z.-Y.; Cai S.; Qiao Y.-F.; Zhu W. 收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25 Measurement of the features of infrared radiation is very important for the precaution and discrimination of missiles  and relevant research is worthy in military application. The measurement of target's surface temperature is the foundation of infrared radiation characteristics measurement. The principle and configuration of target's surface temperature measurement system based on colorimetry is introduced  the measurement model is deduced and the processes of temperature measurement are presented. Least-square method and back-propagation neural network method are both used to deal with the demarcating data. Compared with the least-square method  Back-propagation neural network has more advantages  such as high precision  good applicability and so on.   Intelligent MRTD testing for thermal imaging system using ANN (EI CONFERENCE) 会议论文 ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China Sun J.; Ma D. 收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25 The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task  for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type  the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP  but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly  we use frame grabber to capture the 4-bar target image data. Then according to image gray scale  we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets  along with known target visibility  are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm  demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.