基于双线结构光双目视觉的干排渣机排渣流量检测方法研究  

A Flowrate Measurement Method for the Dry Slag of the Discharge Machine in Coal-fired Power Plant based on Binocular Vision Combined with Double Line Structure Light

作　　者：林悦楠 范永胜 李健[1] 张彪[1] 许传龙[1] LIN Yue-nan;FAN Yong-sheng;LI Jian;ZHANG Biao;XU Chuan-long(National Engineering Research Center of Power Generation Control and Safety,School of Energy and Environment,Southeast University,Nanjing 210096,China;CHN Energy Group Jiangsu Electric Power Company Limited,Nanjing 210014,China)

机构地区：[1]东南大学大型发电装备安全运行与智能测控国家工程研究中心,能源与环境学院,江苏南京210096 [2]国家能源集团江苏电力有限公司,江苏南京210036

出　　处：《节能技术》2023年第2期105-112,共8页Energy Conservation Technology

基　　金：江苏省重点研发计划(社会发展)资助项目(BE2020691);国家能源投资集团有限责任公司科技创新项目(SD-JSFW-2021-47)。

摘　　要：实现电站锅炉干排渣机传送钢带上渣量的实时检测,对提高锅炉运行的经济性和可靠性具有重要意义。针对锅炉底部无纹理炉渣在线检测,本文提出了耦合双线结构光和双目视觉的干排渣机流量在线检测方法,在双线结构光照射下,双目相机采集连续2帧带有红蓝颜色激光线图像,通过对图像RGB通道分离、图像处理和亮点匹配,计算激光线处炉渣厚度;进一步利用互相关算法获得物料移动速度,进而结合炉渣横截面积和速度,计算获得炉渣无纹理对象的体积流量。构建了双线结构光双目视觉测量系统,并开展了系统标定与实验评价研究。结果表明:双目相机标定重投影平均误差为0.07个像素,具有较高精度;横截面积测算误差均小于2.1%,时均速度测算误差均小于2.1%,体积流量测算误差均小于2.6%。结合炉渣经验堆积密度,本文方法可满足燃煤电站锅炉底部排渣量在线测量工业现场应用要求,为炉渣冷却风调整提供渣量数据支持。It is of great significance for improving the economy and reliability of boiler operation to achieve the real-time measurement of dry slag flowrate on the steel belt of discharge machine in coal-fired power station.Aiming at the on-line measurement of textureless dry slag,this paper proposes an on-line measurement method for dry slag flowrate of discharge machine flow based on binocular vision in combination with dual-line structured light.Under the illumination of dual-line structured light,the binocular camera collects two consecutive frames of laser line images with red and blue colors.The thickness of slag at the laser line is calculated by separating the RGB channels of the image,image processing and matching.The cross-correlation algorithm is then used to determine the dry slag speed,and further the volumetric flowrate of the textureless slag object is calculated by combining the cross-sectional area and speed of the slag.A dual-line structured light binocular vision measurement system is built,and the calibrations and experiments are carried out to evaluate the system.Results showed that the average error of reprojection of the binocular camera is 0.07 pixels.The error of cross-sectional area and time-averaged velocity measurement are less than 2.1%,and the error of volume flow measurement is less than 2.6%.Combined with the empirical density of slag,the method presented in this paper can meet the requirements of online measurement of slag discharge at the bottom of coal-fired power plant boiler and provide slag data support for slag cooling air adjustment.

关 键 词：双目视觉 双线结构光 无纹理 排渣流量 互相关 

分 类 号：TK313[动力工程及工程热物理—热能工程]