基于机器视觉的废气涡轮清洗污水水质判定方法及系统

By setting up a fluid image capture box in the wastewater reuse system and using machine vision technology for grayscale processing and model building, the cumbersome problem of water quality judgment in the wastewater treatment device for exhaust gas turbine cleaning has been solved, achieving real-time and efficient water quality judgment and improving operation and maintenance efficiency.

CN117233164BActive Publication Date: 2026-07-17COSCO SHIPYARD ENG SERVICE (DALIAN) CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
COSCO SHIPYARD ENG SERVICE (DALIAN) CO LTD
Filing Date
2023-09-13
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, the methods for judging water quality in wastewater treatment devices for cleaning exhaust gas turbochargers are cumbersome, consume manpower and resources, and cannot be judged in real time, resulting in increased operation and maintenance work.

Method used

By employing a machine vision-based approach, a fluid image capture box is installed in the wastewater reuse system to acquire wastewater images and perform grayscale processing. A model is then established to determine the relationship between grayscale values ​​and water quality and treatment efficiency, enabling real-time assessment of water quality and device efficiency, and achieving automated control.

Benefits of technology

It enables real-time water quality assessment of wastewater treatment devices and improves operation and maintenance efficiency, reduces manpower consumption, and enhances the automation level and control speed of water treatment devices.

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Abstract

本发明公开一种基于机器视觉的废气涡轮清洗污水水质判定方法及系统,本发明通过在处理工艺中每一级处理设备后设置水质图像采集箱的方法来判断物理水处理工艺实际的回用效率,并且将最后水处理系统出水图像与封闭式清洗所用热清水的图像进行对比,对比的具体数据为灰度化、中值滤波处理后图像的灰度值,并且建立水质值与灰度值之间的关系模型以及水处理装置的工作效率与灰度值之间的关系模型,从而判定出水水质是否达到清洗压气叶轮的回用标准、各个水处理装置是否达到对应标准以及各个水处理装置的水处理效率。水质判定高效快速,提高水处理装置运维工作的效率,为运维人员判断水处理装置的使用情况提供数据支持。
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