量化统计差异的污水状态识别算法  

A Sewage Status Recognition Algorithm based on Quantitative Statistical Differences

作　　者：郑博伟 黄耿佳 陈楚涛 陈锐彬[1] 廖梓洋 ZHENG Bowei;HUANG Gengjia;CHEN Chutao;CHEN Ruibin;LIAO Ziyang(Jieyang Polytechnic Information Engineering Department,Jieyang,China,522000;Jieyang Rongtu Environmental Protection Equipment Engineering Co.,Ltd,Jieyang,China,522000)

机构地区：[1]揭阳职业技术学院信息工程系,广东揭阳522000 [2]揭阳市嵘途环保设备工程有限公司,广东揭阳522000

出　　处：《福建电脑》2024年第7期17-22,共6页Journal of Fujian Computer

基　　金：揭阳职业技术学院“创新强校工程”(2023-2025年)基于智能图像处理的污水絮凝状态识别技术的生产性实践项目(No.JYPCQSJ23-3601)资助。

摘　　要：为实现生态环保中污水处理过程的智能化管理,保障水资源的可持续利用和维护生态的平衡,本文提出了一种污水状态识别算法。根据污水净化过程中不同状态下的污染物颗粒数量变化规律,运用图像边缘检测技术,量化统计出各状态下的关键指标,通过指标间的差异实现了对污水状态的精准识别。实验结果表明,本文算法能有效识别出不同的污水状态,为污水治理提供了一种新的技术手段。To achieve intelligent management of sewage treatment process in ecological and environmental protection,ensure sustainable utilization of water resources,and maintain ecological balance,this paper proposes a sewage status recognition algorithm.Based on the changes in the number of pollutant particles in different states during the sewage purification process,image edge detection technology was used to quantify and statistically analyze the key indicators in each state.Through the differences between the indicators,accurate identification of the sewage state was achieved.The experimental results show that the algorithm proposed in this paper can effectively identify different sewage states,providing a new technical means for sewage treatment.

关 键 词：污染物颗粒 污水状态识别 算法 

分 类 号：G642[文化科学—高等教育学]