一种大蒜切片废水的分级处理系统及其处理方法

By collecting and analyzing operational data from a garlic slice wastewater treatment system, and using the correlation between water temperature-corrected turbidity and particle size to calculate the fouling load index, the risk of membrane fouling was predicted. This enabled dynamic adjustment of the membrane unit, solving the instability and high cost problems of existing systems and reducing the risk of irreversible fouling.

CN122233509BActive Publication Date: 2026-07-17JIAXIANG PUBLIC WATER CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
JIAXIANG PUBLIC WATER CO LTD
Filing Date
2026-05-21
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing garlic slicing wastewater treatment systems lack the ability to sense and dynamically balance membrane fouling loads in real time, resulting in unstable treatment effects, weak resistance to shocks, high operating costs, and a high risk of exceeding emission standards.

Method used

By synchronously collecting operational data at the inlet and outlet of the flocculation unit, the inlet of the membrane unit, and the concentrate side, and using water temperature to correct turbidity to obtain an equivalent turbidity sequence, combined with the correlation of particle size proportion, the synchronicity of the clogging particle size range and interference factors is analyzed, the clogging load index is calculated, the membrane fouling accumulation and risk are predicted, and graded regulation is carried out.

Benefits of technology

It effectively suppressed fluctuations in the flocculation unit, mitigated irreversible fouling of the membrane unit, reduced operating costs, avoided the risk of exceeding emission standards, and achieved dynamic balance of the treatment load.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122233509B_ABST
    Figure CN122233509B_ABST
Patent Text Reader

Abstract

本发明涉及废水处理技术领域,具体涉及一种大蒜切片废水的分级处理系统及其处理方法。该方法基于固定节点获取运行数据矩阵,通过水温修正浊度得到等效浊度序列,结合颗粒粒径占比相关性标定主导致堵粒径区间;分析等效浊度序列与临时干扰因素同步性得到总干扰系数,与主导致堵粒径区间进行同步性分析得到持续同步率,进一步计算致堵负荷指数;基于跨膜压差判定清洗完成起点,累加致堵负荷指数至当前时刻并归一化得到膜污染累积度;标定致堵负荷至膜污染响应滞后时间,结合致堵负荷指数与膜污染累积度变化趋势预测膜堵塞失稳风险值,划分风险等级并分级调节。本发明实现了对全流程负荷状态的实时感知与处理负荷的动态平衡。
Need to check novelty before this filing date? Find Prior Art