Source Jouranl of CSCD
Source Journal of Chinese Scientific and Technical Papers
Included as T2 Level in the High-Quality Science and Technology Journals in the Field of Environmental Science
Core Journal of RCCSE
Included in the CAS Content Collection
Included in the JST China
Indexed in World Journal Clout Index (WJCI) Report
Volume 43 Issue 9
Sep.  2025
Turn off MathJax
Article Contents
ZHENG Kaikai, WANG Yan, WAN Xinyu, CHEN Yasong, LI Ji. Research on intelligent chemical dosing control for phosphorus removal based on phosphate loading and dynamic molar ratio[J]. ENVIRONMENTAL ENGINEERING , 2025, 43(9): 66-71. doi: 10.13205/j.hjgc.202509008
Citation: ZHENG Kaikai, WANG Yan, WAN Xinyu, CHEN Yasong, LI Ji. Research on intelligent chemical dosing control for phosphorus removal based on phosphate loading and dynamic molar ratio[J]. ENVIRONMENTAL ENGINEERING , 2025, 43(9): 66-71. doi: 10.13205/j.hjgc.202509008

Research on intelligent chemical dosing control for phosphorus removal based on phosphate loading and dynamic molar ratio

doi: 10.13205/j.hjgc.202509008
  • Received Date: 2024-10-18
    Available Online: 2025-11-05
  • Publish Date: 2025-09-01
  • With the gradual improvement of the total phosphorus standard for effluent, chemical phosphorus removal has become an indispensable process unit in wastewater treatment plants. To ensure the stable and compliant discharge of total phosphorus, the excessive addition of phosphorus removal chemicals is a common issue. However, few intelligent dosing schemes have demonstrated significant operational effects in practice. This paper took the deep phosphorus removal in the air flotation process section of an actual wastewater treatment plant as an example. It comprehensively considered the characteristics of large fluctuations in water quality and quantity during actual operation, established an intelligent dosing algorithm with phosphorus loading (kg/h) as the core control strategy, and conducted actual testing and analysis of PAC dosage under different phosphate concentrations. Moreover, a model for matching the key parameters of the dynamic Al/P molar ratio was established to calculate the PAC dosage in real time and control the flow output of the dosing pump. The results showed that the average chemical consumption of the intelligent phosphorus removal system decreased from 0.71 t per 104 t of water to 0.45 t per 104 t of water after operation, representing a significant reduction of 36.6%. The implementation of the system not only reduced the operating costs of the wastewater treatment plant but also decreased the residual metal ions in the receiving water body, generating significant economic and environmental benefits. It is of great significance for exploring low-carbon operation and refined control of wastewater treatment plants.
  • loading
  • [1]
    TIAN H C,YANG H H,JIAO W H,et al. Analysis of the path and difficulties of carbon neutralization in WWTP[J]. Journal of Municipal Technology,2022,40(12):154-159. 田海成,杨红红,焦文海,等. 城镇污水处理厂碳中和路径及难点分析[J]. 市政技术,2022,40(12):154-159.
    [2]
    CHEN Y,LAN S,WANG L,et al. A review:Driving factors and regulation strategies of microbial community structure and dynamics in wastewater treatment systems[J]. Chemosphere,2017,174:173-182.
    [3]
    LI H B,ZHENG K K,WANG Y,et al. Operation regulation of wastewater treatment plant with low carbon to nitrogen ratio influent based on whole process analysis method[J]. Environmental Engineering,2021,39(3):97-102. 李怀波,郑凯凯,王燕,等. 基于全流程分析的低碳氮比进水污水处理厂运行调控[J]. 环境工程,2021,39(3):97-102.
    [4]
    XU R,CAO J,FANG F,et al. Integrated data-driven strategy to optimize the processes configuration for full-scale wastewater treatment plant predesign[J]. Science of the Total Environment,2021,785:147356.
    [5]
    YANG R,WANG D,QIAO J. Policy gradient adaptive critic design with dynamic prioritized experience replay for wastewater treatment process control[J]. IEEE Transactions on Industrial Informatics,2022,18(5):3150-3158.
    [6]
    CHEN Y,ZHANG H,YIN Y,et al. Smart energy savings for aeration control in wastewater treatment[J]. Energy Reports,2022(8):1711-1721.
    [7]
    GREENER J G,KANDATHIL S M,MOFFAT L,et al. A guide to machine learning for biologists[J]. Nature Reviews Molecular Cell Biology,2022,23(1):40-55.
    [8]
    SU Y C,LI P F,ZHANG X Y,et al. Precise dosing control system of flocculant based on time-series neural network[J]. China Water & Wastewater,2023,39(3):56-61. 苏宇宸,李鹏飞,张新运,等. 基于时序神经网络的絮凝剂精准投加控制系统研究[J]. 中国给水排水,2023,39(3):56-61.
    [9]
    Zhang C Q. Design of remote intelligent control system for sewage treatment station based on internet of things technology[J]. Mechanical & Electrical Engineering Technology,2023,52(12):124-127. 张长强. 基于物联网技术的污水处理站远程智能控制系统设计[J]. 机电工程技术,2023,52(12):124-127.
    [10]
    ZHANG L J,GUO Y Y,PANG H T,et al. Application research of intelligent control and management system of high efficiency sedimentation tank in reclaimed water plant[J]. Water & Wastewater Engineering,2024,60(5):135-140. 张璐晶,郭媛媛,庞洪涛,等. 再生水厂高效沉淀池智能化控制管理的应用研究[J]. 给水排水,2024,60(5):135-140.
    [11]
    HAO X D,JIN M,HU Y S. Framework of future wastewater treatment in the Netherlands:NEWs and their practices[J]. China Water & Wastewater,2014,30(20):7-15. 郝晓地,金铭,胡沅胜. 荷兰未来污水处理新框架——NEWs及其实践[J]. 中国给水排水,2014,30(20):7-15.
    [12]
    HUANG J X,CEN Y M,GUAN Y T,et al. Application of intelligent control system for chemical phosphorus removal in wastewater treatment process[J]. China Water & Wastewater,2022,38(1):104-107. 黄俊熙,岑玉铭,关宇霆,等. 污水处理过程中除磷加药智能控制系统及应用研究[J]. 中国给水排水,2022,38(1):104-107.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (5) PDF downloads(0) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return