量化统计差异的污水状态识别算法OA

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.