基于单目视觉的颗粒粒度现场检测技术研究的中期报告摘要：颗粒物粒度的测量是粉体工程领域中的重要问题之一。本文提出了一种基于单目视觉的颗粒粒度现场检测技术，该技术利用高速相机和图像处理算法对颗粒进行快速识别和粒度测量。本文介绍了该技术的研究背景和意义，详细说明了颗粒样本制备方法和实验过程，提取了颗粒图像的特征参数，采用多元线性回归建立了颗粒尺寸和颜色之间的关系模型，并使用该模型对颗粒样本进行了预测和验证。实验结果表明，该技术可以准确、快速地测量颗粒尺寸，并且具有实用性和可行性。下一步将进一步完善算法和实验，提高检测的精度和稳定性。关键词：单目视觉；颗粒粒度；现场检测；多元线性回归；特征参数Abstract:Particlesizemeasurementisoneoftheimportantissuesinthefieldofpowderengineering.Inthispaper,afielddetectiontechnologyofparticlesizebasedonmonocularvisionisproposed,whichuseshigh-speedcamerasandimageprocessingalgorithmstoquicklyidentifyandmeasureparticles.Thispaperintroducestheresearchbackgroundandsignificanceofthetechnology,detailstheparticlesamplepreparationmethodandexperimentalprocess,extractsthefeatureparametersofparticleimages,andusesmultiplelinearregressiontoestablishtherelationshipmodelbetweenparticlesizeandcolor.Themodelisusedtopredictandverifyparticlesamples.Experimentalresultsshowthatthetechnologycanaccuratelyandquicklymeasureparticlesize,andhaspracticalityandfeasibility.Thenextstepwillfurtherimprovethealgorithmandexperimentstoimprovetheaccuracyandstabilityofthedetection.Keywords:monocularvision;particlesize;fielddetection;multiplelinearregression;featureparameters.