首页|基于图像处理判断水混凝中矾花性能的研究及应用进展

基于图像处理判断水混凝中矾花性能的研究及应用进展

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原水预处理主要分为混凝、沉淀和过滤3个阶段,混凝中的絮凝过程直接影响矾花结构与出水浊度;目前多采用检测出水浊度方法来控制混凝剂加药量,但因时间滞后无法快速反映混凝效果与反馈调节加药量.随着计算机技术的快速发展,利用矾花图像处理技术能够实现快速、准确、实时检测絮凝状态,从而更准确控制加药量,提高混凝效果.从计算机视觉技术角度,概述了絮凝中矾花图像采集与处理的技术特点,介绍了实时跟踪和计算矾花结构特征参数如等效粒径、分形维数等方法,并给出了部分试验结果,通过这些参数可以判断最佳混凝效果,为混凝控制与加药提供依据.
Research and application progress of judging the performance of flocs based on image processing in water coagulation
Raw water pretreatment can be divided into three stages:coagulation,sedimentation and filtration.The flocculation process directly affects the structure of alum and the turbidity of effluent.At present,the method of measuring the turbidity of the effluent is usually used to control the dosage of coagulant,but due to the time lag,it can not quickly reflect the coagulation effect and adjust the dosage of the feedback.With the rapid development of computer technology,the application of alum image processing technology can realize rapid,accurate and real-time detection of flocs state,so as to control the dosage more accurately and improve the coagulation effect.From the perspective of computer vision technology,this paper summarizes the technical characteristics of alum image acquisition and processing in flocs,introduces the method of real-time tracking and calculating the characteristic parameters of alum structure,such as equivalent particle size,fractal dimension,etc.,and some test results are also provided.Through these parameters the best coagulation effect can be judged,which provides the basis for coagulation control and dosing.

coagulationflocsimage processingequivalent particle sizefractal dimension

郭上科、郭俊文、文昌璧、李博润、滕维忠、江小伟、章德才、乔越

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华能海南发电股份有限公司东方电厂,海南 东方 572633

西安热工研究院有限公司,陕西 西安 710054

絮凝 矾花 图像处理 等效粒径 分形维数

中国华能集团有限公司总部科技项目

HNKJ21-HF201

2024

热力发电
西安热工研究院有限公司,中国电机工程学会

热力发电

CSTPCD北大核心
影响因子:0.765
ISSN:1002-3364
年,卷(期):2024.53(5)
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