High salinity wastewater purification method coupling advanced oxidation with membrane filtration

CN122324972APending Publication Date: 2026-07-03CCTEG COAL IND PLANNING INSTITUTE CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CCTEG COAL IND PLANNING INSTITUTE CO LTD
Filing Date
2026-06-02
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing high-salinity wastewater purification processes cannot identify pollutant types or quantify initial loads, nor can they dynamically optimize the spatial topology of the oxidation reaction zone and membrane separation zone, resulting in low purification efficiency and poor system resistance to shocks.

Method used

Collect multi-source heterogeneous data streams, generate a standardized time series matrix through adaptive filtering and outlier removal, identify the dominant pollutant type and generate pollutant feature maps, dynamically divide the spatial topology, construct a gradient resolution discretized computational space, track the pollutant concentration field and oxidant diffusion field, reverse correct the partition boundary coordinates, and iteratively optimize the purification path.

Benefits of technology

It achieves accurate identification and dynamic optimization of pollutant characteristics during the purification process of high-salt wastewater, improves purification efficiency, enhances the system's resistance to shock loads, optimizes the spatial layout of oxidation reaction and membrane separation, and adapts to real-time treatment requirements.

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Abstract

This invention discloses a method for purifying high-salinity wastewater by coupling advanced oxidation and membrane filtration, belonging to the field of high-salinity wastewater treatment and purification technology. The method includes collecting multi-source heterogeneous data streams of high-salinity wastewater conductivity fluctuations, UV absorbance, and suspended solids concentration. These data streams are then reconstructed into a standardized time-series matrix through adaptive filtering and outlier removal. The matrix is ​​analyzed to generate a pollutant feature map. The spatial topology of the oxidation reaction zone and membrane separation zone is dynamically divided, generating treatment domain configuration data containing zone boundary coordinates. A non-uniform mesh generation engine is used to construct a gradient-resolution discretized computational space, conducting cross-scale mass transfer simulations and outputting a snapshot of the full flow field concentration distribution. The membrane module operation logs are combined to calculate the fouling deposition rate on the membrane surface. The zone boundary coordinates are then corrected in reverse and iteratively converged to output a purification path plan. This scheme can dynamically match pollutant characteristics, optimize the treatment zone layout, and adapt to the high-salinity wastewater purification process.
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