一种建筑楼宇火灾报警方法的改进与应用

Improvement and application of a fire alarm method for building

当前建筑楼宇火灾智能报警系统依靠单点异常信号分析产生报警行为,因常受到信号干扰的影响,导致效率较低,为此提出一种建筑楼宇火灾报警的改进方法。对传感信息进行传感波束采集,测试楼宇火灾智能报警系统传感信息的连通性;将传感波束信号进行频谱分解和特征分离,提取准确的楼宇火灾智能报警传输信号的指数规律;采用多维小波分解方法进行传输信号识别,结合传感信息联合跟踪检测方法实现火灾报警。设计对比实验验证该方法的有效性,结果表明,使用改进后的方法进行楼宇火灾智能报警准确率在90%~98%,且与改进前相比信号处理能力明显增强,整体更具有应用优势。

The current building fire intelligent alarm system relies on single point abnormal signal analysis to generate alarm behavior,which is often affected by signal interference,resulting in low efficiency.Aiming at above it proposes an improved method for building fire alarms.It using the sensing beam acquisition of sensing information to test the connectivity of sensing information of building fire intelligent alarm system,carries out spectral beam decomposition and feature separation of sensing beam signals,extracts the index law of building fire intelligent alarm transmission signals.Based on the wavelet decomposition method it identifies the transmission signal,uses the sensor information combined tracking detection method to realize the fire alarm.The comparison experiment is carried out to verify the effectiveness of the proposed method.The results show that the accuracy of the intelligent fire alarm for building fires is 90%~98%,and the signal processing capacity is obviously enhanced compared with before the improvement.The overall application has advantages.