Intelligent water purification method and system based on water quality analysis
By constructing historical interval analysis to analyze similar parameters and adjust the flocculant dosage based on particle size, the problem of inaccurate dynamic optimization of flocculants caused by measurement deviation of turbidity sensors was solved, thus improving the accuracy and stability of water purification treatment.
CN121107491BActive Publication Date: 2026-04-17HANGZHOU INTERNATIONAL INNOVATION INSTITUTE OF BEIHANG UNIVERSITY +1
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Patent Information
- Application Number
- CN202511322864.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-16
- Publication Date
- 2026-04-17
- Estimated Expiration
- 2045-09-16
AI Technical Summary
Technical Problem
Existing intelligent dosing control systems in flocculation tanks suffer from inaccurate dynamic optimization of flocculants due to measurement deviations or malfunctions of turbidity sensors, which affects the water purification effect.
Method used
By acquiring the turbidity and flow rate of raw water, constructing historical interval analysis similar parameters, judging detection deviations, outputting normal or abnormal signals, and adjusting the flocculant dosage according to the flocculant particle size, intelligent water purification is achieved.
Benefits of technology
This reduces the need for dynamic optimization of flocculants due to erroneous data from turbidity sensors, thereby improving the accuracy and stability of water purification treatment.
✦ Generated by Eureka AI based on patent content.
Abstract
This application relates to an intelligent water purification method and system based on water quality analysis, belonging to the field of water treatment technology. The method includes: acquiring the raw water turbidity and unit flow rate; determining a basic flocculant dosage based on the raw water turbidity and unit flow rate, and adding the basic flocculant dosage to the reaction zone; acquiring the flocculant particle size and post-treatment turbidity in the reaction zone; constructing a historical time interval and determining similarity parameters for each time point within the historical time interval based on the current raw water turbidity, raw water unit flow rate, and flocculant particle size, defining the time point corresponding to the largest similarity parameter as the similar time point, and acquiring similar turbidity based on the similar time point; determining the detection deviation turbidity based on the post-treatment turbidity and the similar detection turbidity; and outputting a device abnormality signal when the detection deviation turbidity is outside the permissible deviation range. This application has the function of improving the treatment effect of water purification operations.
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