[1]许中元,高逸伦,周峰,等.基于自学习专家库的自来水厂加矾系统应用[J].中国给水排水,2025,41(10):86-90.
　XUZhong-yuan,GAOYi-lun,ZHOUFeng,et al.Application of Alum Dosing System Based on Self?learning Expert Database in Waterworks[J].China Water & Wastewater,2025,41(10):86-90.
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基于自学习专家库的自来水厂加矾系统应用

中国给水排水[ISSN:1000-4062/CN:12-1073/TU] 卷: 第41卷 期数: 2025年第10期 页码: 86-90 栏目: 出版日期: 2025-05-17
Title:
Application of Alum Dosing System Based on Self?learning Expert Database in Waterworks
作者:
许中元1， 高逸伦2， 周峰1， 叶秀伟1， 谢树福1
（1.温州公用事业发展集团瑞安水务有限公司，浙江 瑞安 325200；2.中国市政工程华北设计研究总院有限公司，天津 300074）
Author(s):
XU　Zhong-yuan1， GAO　Yi-lun2， ZHOU　Feng1， YE　Xiu-wei1， XIE　Shu-fu1
（1. Rui’an Water Co. Ltd.， Wenzhou Public Utilities Development Group， Rui’an 325200， China； 2. North China Municipal Engineering Design & Research Institute Co. Ltd.， Tianjin 300074， China）
关键词:
自学习;  专家经验;  启发式规则;  智能化;  自来水厂;  加矾系统
Keywords:
self-learning;  expert knowledge;  heuristic rules;  intelligentization;  waterworks;  alum dosing system
摘要:
为保障饮用水水质、推动自来水厂向智能化智慧化转型，温州某水厂针对原水突变情况下的加药混凝环节，结合运行经验构建了启发式规则并建立了基于自学习专家库的加矾（混凝剂）系统，以快速生成更为精准的混凝剂投加方案。经实际运行环境验证及相关审查单位测评，加矾系统运行后出水浊度同比下降1.29%~13.18%，环比下降7.76%~12.20%。在面对原水突变的情况下，应用加矾系统可有效解决混凝剂精准投加这一难点问题，确保自来水厂出水水质更稳定。
Abstract:
To ensure drinking water quality and promote the transformation of waterworks towards intelligence and smartness, a waterworks of Wenzhou has developed heuristic rules based on its operational experience and established an alum dosing system with a self-learning expert database for the coagulation process in response to sudden changes in raw water, to rapidly generates more precise dosing plans for coagulants (alum). Verified through actual operational environments and evaluated by relevant inspection authorities, the alum dosing system has resulted in a year-on-year reduction in turbidity of the effluent by 1.29%-13.18% and a month-on-month reduction by 7.76%-12.20%. In situations where raw water conditions suddenly change, the application of the alum dosing system effectively could tackle the challenge of precise dosing of coagulant (alum), ensuring more stable effluent quality from the waterworks.
更新日期/Last Update: 2025-05-17