红外技术2025，Vol.47Issue(6)：785-792,8.
高压釜泄漏红外检测算法
Infrared Detection Algorithm for Autoclave Leaking
摘要
Abstract
Autoclaves are commonly used pieces of equipment in fields,such as wet metallurgy and chemical engineering,and face the threat of leakage.Once a leak occurs,it can lead to unstable pressure inside the autoclave,and in severe cases,it can even cause explosions,posing a threat to production safety.In this regard,we propose a wet metallurgy autoclave leakage detection algorithm that combines infrared image filtering,segmentation,and frame difference methods to extract morphological changes in the leaking gas-phase medium.The real-time leak location was determined using a multivariate Gaussian analysis.Experimental results demonstrate that the proposed algorithm achieves a detection accuracy of 95％within a 1-second time span after a leak occurs and a detection accuracy of 98％within a 2-second time span,effectively pinpointing the precise location of the leak source.关键词
湿法冶金/高压釜/泄漏检测/红外图像处理/多元高斯Key words
hydrometallurgy/autoclave/leakage detection/infrared image processing/multivariate Gauss分类
矿业与冶金引用本文复制引用
李衍志,郝朋越,张维国,古健,宗井彬,张凯,郭丽敏..高压釜泄漏红外检测算法[J].红外技术,2025,47(6):785-792,8.基金项目
科技部重点研发计划(工业软件)(2022YFB3304901). （工业软件）
