一种气体泄漏检测方法及系统
By establishing a gas absorption characteristic peak library and filter combination, and combining infrared and visual image fusion, the problems of large errors in the identification of multiple gases and leakage areas were solved, and efficient and accurate gas leak detection was achieved.
CN116263402BActive Publication Date: 2026-07-17SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
- Filing Date
- 2021-12-14
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing technologies struggle to identify various types of gas leaks and have significant errors in identifying gas leak areas, especially when interference signals are present, leading to a high misjudgment rate.
Method used
A gas absorption characteristic peak library is established, sub-band intervals are divided to form a coding library, a filter array is designed, and target detection is achieved by fusing infrared images and visual images to eliminate interference information and accurately identify gas types and leakage areas.
Benefits of technology
By using fewer filters to identify multiple gases, false positives are reduced, improving the accuracy of gas identification and the precision of the leak area, while avoiding interference from moving targets.
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Figure CN116263402B_ABST
Abstract
本申请涉及一种气体泄漏检测方法及系统，气体泄漏检测方法包括：建立气体吸收特征峰库；根据气体吸收特征峰库划分子波段区间，根据气体吸收特征峰所处的子波段区间以形成编码库，并根据子波段区间对应设计滤波片组；根据目标气体在滤波片组下的吸收特性，对目标气体进行编码，将编码结果与编码库进行比对，以判断目标气体的类别；同时获取红外图像和可视化图像并进行目标检测，融合红外图像和可见光图像的目标检测结果，得到目标气体云团的区域。本申请具有方便对多种泄漏气体的识别以及精确判别泄漏气体所处的目标气团区域的优点。
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