福建电脑2024，Vol.40Issue(7)：17-22,6.DOI:10.16707/j.cnki.fjpc.2024.07.003
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
摘要
Abstract
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Key words
Pollutant Particles/Identification of Sewage Status/Algorithm分类
社会科学引用本文复制引用
郑博伟,黄耿佳,陈楚涛,陈锐彬,廖梓洋..量化统计差异的污水状态识别算法[J].福建电脑,2024,40(7):17-22,6.基金项目
本文得到揭阳职业技术学院"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. （2023-2025年）
