项目名称: 基于差分多光谱成像原理的铸坯表面高温场连续测量传感器
项目编号: No.61573176
项目类型: 面上项目
立项/批准年度: 2016
项目学科: 自动化技术、计算机技术
项目作者: 白海城
作者单位: 辽宁石油化工大学
项目金额: 16万元
中文摘要: 铸坯表面温度对优化二冷制度和提高铸坯质量具有重要意义,对其在线准确测量是至今尚未解决的冶金检测难题。关键问题是:表面发射率的不确定性难以实现真温测量;表面氧化皮影响和高达400℃的温度梯度难以实现整个温度场不同温度段的等精度稳定测量。 本项目提出基于CCD的差分多光谱新型图像测温传感器设想并进行原型机设计。通过优化波长组有效克服发射率产生的测温误差,提高传感器的绝对测量精度; 采用斩光结构在单色CCD上顺次采集多光谱热图像和暗电压信息,并通过DSP及多级流水线结构保证温度场测量的实时性;为消除连铸坯表面随机分布的氧化皮和CCD像素暗电压的扰动,采用空间数字滤波法,从原始温度场中提取行像素传感器阵列测得的极值分布,经列重组后将其视作单一像素的时域信息,再经离散傅氏变换和低通滤波实现噪声抑制。
中文关键词: 图像测温仪;高温场测量;连续测温;铸坯表面温度;等精度测量
英文摘要: The surface temperature of billets is very signigicant to optimize secondary cooling system and to improve billets quality. An on-line accurate measurement for it is a yet unsolved difficult problem in metallurgical detections. The key problems are: the uncertainty of surface emissivity is difficult to realize true temperature measurement; it is difficult to achieve equal-accuracy measurement for various temperature ranges in whole temperature field due to the effect of oxide coatings and as large as 400 ℃ temperature span. This project proposes an idea of the new imaging temperature sensor based on CCD with features of differential multi-spectrum, and makes its prototype design. By optimizing the wavelength set effectively, the measuring error resulted from the factor of emissivity could be overcome and the absolute accuracy of sensor could be greatly improved; by photochopper set the thermal images of different spectrums and dark signals are sequentially acquired on a single-color CCD. In order to improve the realtime of measurements for the sensor, multi-pipeline is used for the main processor DSP; To remove the disturbances resulted from the random oxide coatings of billets and the influence of CCD dark voltage, a spatial digital filtering method is adopted. In this method, firstly the temperature extremu
英文关键词: imaging pyrometer;high temperature field measurement;continuous temperature measurement;the surface temperature of casting billets;temperature measurement with the same precision