一种湿膜透析器膜丝破点检测系统及方法

The automated wet membrane dialyzer membrane fiber breakage detection system enables efficient and accurate breakage detection and root cause analysis, solving the problem of reliance on manual observation in traditional systems and improving detection efficiency and product quality in the production process.

CN121456624BActive Publication Date: 2026-07-17SICHUAN WEISHENG MEDICAL TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SICHUAN WEISHENG MEDICAL TECH CO LTD
Filing Date
2025-11-03
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional wet membrane dialyzer membrane fiber breakage detection systems rely on manual observation, resulting in high rates of missed detections and false alarms. They also lack the ability to identify breakage types and the information from the detection and production processes is isolated, making it difficult to trace the root cause and leading to low production efficiency.

Method used

The system employs a wet membrane dialyzer tracer detection device, a leak detection and location module, a membrane rupture feature extraction module, a rupture point type intelligent diagnosis module, and a root cause correlation analysis module. Combined with multi-channel sensor collaborative acquisition, data fusion preprocessing, and production parameter adaptive command generation, it achieves automated detection and root cause analysis.

Benefits of technology

Significantly reduce the rate of missed detections and false alarms, improve detection accuracy, achieve automatic identification of fault types, deeply explore the root causes, generate precise production parameter adjustment instructions, and improve production efficiency and preventive protection effects.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明属于湿膜透析器检测技术领域,本发明公开了一种湿膜透析器膜丝破点检测系统及方法;所述系统包括:泄漏检测定位模块、破膜特征提取模块、破点类型智能诊断模块和根本原因关联分析模块,对融合数据集进行分析,并依据分析结果对泄漏点的空间位置进行计算,得到泄露事件报告,基于泄露事件报告进行量化特征提取,得到破点特征向量,将破点特征向量输入预训练的机器学习模型,对破点的根本类型进行自动识别,得到破点类型诊断报告,基于破点类型诊断报告结合生产批次数据,对生产环节原因进行定位,得到根本原因分析报告,总体而言,本发明具有检测准确性高、根本原因追溯智能性强和预防性防护效果好的显著优点。
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