摘要
烟雾传感器因原理简单、成本低廉被广泛应用于楼宇消防系统,但其功能单一性导致难以区分真实火情与非火灾干扰,造成频繁误报。随着火焰探测技术日臻成熟,通过多技术融合解决误报问题成为可能。提出一种复合验证方法,在传统烟雾检测基础上,同步引入火焰探测器与视频检测技术。当烟雾传感器触发报警时,系统自动激活火焰光谱特征识别与实时视频动态火源分析,通过火焰特征匹配和火源形态识别的双重验证机制过滤误报。实验表明,该方法在保留烟雾传感器高灵敏度的同时,显著降低了误报率。融合火焰与视频检测的技术方案,既保持了传统系统的低成本优势,又通过多维度特征验证提升了报警可靠性,为公共场所精准消防预警提供了经济高效的解决路径。
Smoke sensors are widely used in building fire protection systems due to their simple principle and low cost.However,their single functionality makes it difficult to distinguish real fire situations from non-fire interferences,resulting in frequent false alarms.With the increasing maturity of flame detection technology,the aim is to solve the false alarm problem through multitechnology integration.For this purpose,a composite verification method is proposed:on the basis of traditional smoke detection,flame detectors and video detection technology are introduced simultaneously.When the smoke sensor triggers an alarm,the system automatically activates flame spectral feature recognition and real-time video dynamic fire source analysis,and filters false alarms through a dual verification mechanism of flame feature matching and fire source shape recognition.Experiments show that this method significantly reduces the false alarm rate while retaining the high sensitivity of the smoke sensor.The conclusion indicates that the technical scheme integrating flame and video detection not only maintains the low-cost advantage of the traditional system but also improves the alarm reliability through multi-dimensional feature verification,providing an economical and efficient solution for accurate fire early warning in public places.
作者
汤勇
Tang Yong(School of Intelligent Manufacturing,Chengdu Technological University,Chengdu,Sichuan 610000)
出处
《现代工程科技》
2025年第16期77-80,共4页
Modern Engineering Technology
基金
成都工业学院校级科研项目(2024YB012)
自贡市重点科技计划(2020YGJC25)。
关键词
智能安防
火焰传感器
烟雾检测
误报消除
视频检测
intelligent security
flame sensor
smoke detection
false alarm elimination
video detection
作者简介
汤勇(1988-),男,硕士,成都工业学院智能制造学院助教,研究方向为图像处理。
