一种水体蓝藻智能监测治理方法与系统

By deploying arrays of dissolved oxygen sensors and cyanobacteria sensors at water sources, changes in dissolved oxygen and cyanobacteria concentration are monitored, and the release of oxygen-enhancing slow-release agents is controlled, thus solving the problem of rapid cyanobacteria reproduction in water bodies and achieving timely water quality treatment and prevention.

CN121377287BActive Publication Date: 2026-07-17SHENZHEN SHENGRUN ENG CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHENZHEN SHENGRUN ENG CO LTD
Filing Date
2025-11-07
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, the rapid proliferation of cyanobacteria in water bodies is difficult to detect and control in a timely manner, leading to a decline in water quality and creating difficulties for subsequent water treatment.

Method used

By deploying an array of dissolved oxygen sensors at the water source, the distribution and rate of change of dissolved oxygen can be monitored, the area of ​​cyanobacterial proliferation can be predicted, and the concentration can be detected by cyanobacterial sensors to control the release of oxygen-enhancing slow-release agents to inhibit cyanobacterial growth.

Benefits of technology

It enables timely monitoring and control of cyanobacteria, prevents eutrophication of water bodies, and improves the efficiency and effectiveness of water quality management.

✦ Generated by Eureka AI based on patent content.

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Abstract

本申请涉及水源地水质治理技术领域,公开一种水体蓝藻智能监测治理方法与系统。所述方法包括:获取预设于目标水源地中的多个溶解氧传感器的溶氧检测数据,并将多个溶解氧传感器与其输出的溶氧检测数据相关联,以获取溶氧分布数据;比对当前获取到的溶氧分布数据与前一次的溶氧分布数据,以获取目标水源地中各区域的溶氧变化率分布数据;读取各区域的溶氧变化率数据,根据溶氧变化率数据获得预测蓝藻增殖区域;读取预测蓝藻增殖区域内的蓝藻传感器内的蓝藻浓度数据,并判断蓝藻浓度数据是否超出预设阈值;若是,则输出第一控制指令,以控制预设缓释剂释放装置释放增氧缓释剂。在水源地水质治理过程中实现对蓝藻的及时治理与预防。
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