聚丙烯粒子瑕疵智能检测系统的设计与效能分析

中图分类号：TS736.2 文献标志码：A 文章编号:1003-5168（2025)23-0084-04

DOI: 10.19968/j.cnki.hnkj.1003-5168.2025.23.014

Design and Performance Analysis of an Intelligent Polypropylene ParticlesDefectDetectionSystem

ZHANG Xinyu (Daqing Refining& Chemical Company,Daqing 163411, China)

Abstract: [Purposes] With the deep penetration of inteligent manufacturing in the chemical industry, the accuracy and effciency of quality inspection for polypropylene (PP)particles have become key factors affecting their high-end applications.To address industry pain points such as low manual inspection efficiency,inconsistent standards,fedback lag,and data silos inthePPparticle inspection process,this study designs an intelligent defect detection system for polypropylene particles.[Methods] Relying on a large-model technology architecture,the system achieves automated detection and quantitative analysis of key particle indicators through industrial vision acquisitionand AI-powered intelligent analysis. [Findings] Performance analysis indicates that the system can significantly reduce labor costs (by approximately 80% ), lower the missed detection rate (to

velopment of polymer material inspection.

Keywords:polypropylene particles;polymer materials;defect detection; digital transformation; intelligentsystem

0 引言

在信息化和工业化深度融合发展的战略背景下，数字化转型已成为制造业高质量发展的核心路径[1。（剩余6206字）