基于污染分级的双波长多参数自补偿智能控制系统及方法

By acquiring dual-wavelength optical and multi-parameter sensing signals, performing baseline correction and uncertainty generation, constructing pollution levels and graded confidence levels, and selecting a cluster of control strategies for rolling optimization, the problems of measurement instability and control fluctuations in water treatment devices are solved, achieving higher accuracy and stability.

CN121913570BActive Publication Date: 2026-07-17HEBEI TIANCHENG XINKONG INTELLIGENT INSTRUMENT CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HEBEI TIANCHENG XINKONG INTELLIGENT INSTRUMENT CO LTD
Filing Date
2026-01-07
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing online water treatment monitoring devices suffer from declining long-term stability in dual-wavelength compensation and multi-parameter output when faced with changes in water turbidity, color, bubble and particulate matter distribution, as well as factors such as probe fouling, light source attenuation, and electrode drift. They lack quantitative expression of the measured health status and uncertainty, making it difficult to achieve traceable and adaptive fine control.

Method used

The sensing module acquires measurement signals from dual-wavelength optics and multi-parameter sensing, performs self-compensation correction, generates a self-compensation module for pollution classification, and uses adaptive techniques to generate technical devices, including a self-compensation module, for baseline correction, generates optical health indicators, calculates uncertainty parameters based on consistency residuals, constructs pollution levels and classification confidence levels, and selects a cluster of control strategies for rolling optimization.

Benefits of technology

It improves the accuracy of pollution classification, enhances the long-term stability of measurement, reduces control fluctuations and energy consumption, and enables classification strategy switching and rolling optimization control when pollution load fluctuates.

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Abstract

本申请提供一种基于污染分级的双波长多参数自补偿智能控制系统及方法。包括：感知模块，用于获取待处理水体的双波长光学测量信号以及多参数传感测量信号；自补偿模块，用于生成补偿后的污染表征特征量；不确定度生成模块，用于对补偿后的污染表征特征量与至少一项水质参数信号执行一致性残差计算，并生成不确定度参数；污染分级模块，用于在不确定度参数的约束下对初始污染等级执行边界校正，输出污染等级及分级置信度；决策控制模块，用于选择目标控制策略簇，并基于滚动优化生成水处理工艺的控制设定值；执行控制模块，用于将控制设定值下发至水处理工艺的执行机构。本申请能够提升污染分级准确性、增强测量长期稳定性、降低控制波动与能耗。
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Citation Information

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