Micro-nano air flotation solid-liquid separation control method based on scum density monitoring

By combining terahertz penetration scanning and ultrasonic standing wave field, precise monitoring and non-destructive slag removal of the internal structure of the slag layer were achieved, solving the blind zone and secondary crushing problems in traditional air flotation solid-liquid separation technology, and improving separation purity and adaptive control accuracy.

CN122144825AActive Publication Date: 2026-06-05HEFEI UNIV OF TECH
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Patent Information

Application Number
CN202610619596.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-08
Publication Date
2026-06-05
Estimated Expiration
2046-05-08

AI Technical Summary

Technical Problem

Existing air flotation solid-liquid separation technology suffers from blind spots in optical monitoring, lack of physical confidence in pure data evaluation, and secondary crushing and back-mixing of pollutants caused by traditional mechanical scraping devices, resulting in low separation purity and insufficient adaptive accuracy.

Method used

Terahertz penetration scanning technology is used to analyze the internal structure of scum, and physical viscoelastic parameters are obtained by combining ultrasonic standing wave field. A joint prediction optimization model is used to coordinate the control of the bottom fluid and phased array acoustic scum removal, so as to achieve accurate monitoring of the density of the scum layer and non-destructive scum removal.

Benefits of technology

It breaks through the blind spot of surface perception in traditional monitoring, improves the adaptive control accuracy and slag purity of air flotation solid-liquid separation, and enhances the system's shock resistance and robustness.

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Abstract

The invention discloses a micro-nano air flotation solid-liquid separation control method based on scum density monitoring, and relates to the technical field of water treatment automatic control. The method comprises the following steps: acquiring terahertz scanning data of a scum layer, and analyzing free water and bubble distribution to calculate a density index; calibrating the index by using a physical viscoelasticity parameter measured by an ultrasonic standing wave field; inputting the calibration index and the feed-forward signal into a joint prediction optimization model, and solving an optimal operation variable; fluid and deslagging parameters are output and used for self-adaptive adjustment of bottom-layer fluid and phased array acoustic lossless deslagging. The method is used for solving the problems that traditional optical monitoring has a surface sensing blind area, pure data state evaluation lacks physical confidence, and mechanical deslagging is extremely easy to cause floc crushing and secondary backmixing.
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