饮用水管网细菌污染溯源方法

By integrating real-time and historical data and employing a progressive source tracing strategy, combined with a pipeline hydraulic model, the problems of blind and inefficient source tracing in the detection of bacterial contamination in drinking water pipelines have been solved, enabling accurate identification of contamination types and rapid location of contamination sources.

CN122112552BActive Publication Date: 2026-07-17苏州市食品检验检测中心(苏州市食品安全快检中心) +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
苏州市食品检验检测中心(苏州市食品安全快检中心)
Filing Date
2026-04-28
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing methods for detecting bacterial contamination in drinking water pipe networks suffer from limited sampling point coverage, long feedback cycles for test results, and weak correlation between water quality data and specific pipe section locations, leading to a blind and inefficient source tracing process.

Method used

By integrating real-time and historical data, introducing electronic identification of pipe sections, and employing a progressive source tracing strategy, the system utilizes real-time water flow data and historical bacterial concentrations at the current node, combined with a network hydraulic model, to gradually identify pollution types and locate pollution sources.

Benefits of technology

It enables accurate identification of pollution types and rapid location of pollution sources, improving the efficiency and reliability of tracing bacterial contamination sources in drinking water pipe networks.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明属于水质安全监测技术领域,涉及一种饮用水管网细菌污染溯源方法,包括基于当前节点的实时细菌浓度和该节点所在管段的历史细菌浓度,获得时空变化序列;分析该序列识别当前节点的污染类型并定位潜在管段;基于潜在管段的电子标识查询分布式数据库,获取该管段及其上游关联节点的历史水质数据,生成全链时空变化序列;以该序列为初始条件、以当前水流路径为边界,通过管网水力模型沿水流方向逐次计算污染物向下游传播的到达时刻和衰减后浓度,获得污染溯源轨迹。本发明通过实时数据与历史数据融合、管段电子标识引入及递进式溯源策略,实现污染类型准确识别和污染源快速定位,提升管网细菌污染溯源的效率和可靠性。
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