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红外图像识别在舰船火灾中的应用分析

发布时间:2019-06-22 12:33
【摘要】:船舶上铺设有大量的电力输送线路,由于船舶电力系统的工况恶劣,往往会引发输电线路的短路、漏电等故障,进而引发舰船火灾,造成严重的人员伤亡和经济损失。火灾扑救的最佳时机是在火灾发生初期,因此,为了对船舶火灾事故防患于未然,研究一种行之有效的舰船火灾预防和报警系统有重要的意义。传统的船舶火灾报警系统普遍采用烟雾传感器和热传感器等作为火灾监测器,火灾监测的灵敏度较差且误报率高,具有一定的局限性。本文研究了一种基于红外图像识别技术的新型舰船火灾报警系统,并对该舰船火灾监测与报警系统的图像识别、边缘处理、平滑滤波等技术进行了详细的介绍。
[Abstract]:There are a large number of power transmission lines on the top of the ship. Because of the bad working conditions of the ship power system, it will often lead to short circuit, leakage and other faults of the transmission line, which will lead to ship fire, resulting in serious casualties and economic losses. The best time for fire fighting is in the early stage of fire. Therefore, in order to prevent ship fire accidents, it is of great significance to study an effective ship fire prevention and alarm system. Smoke sensor and thermal sensor are widely used as fire monitors in traditional ship fire alarm system. The sensitivity of fire monitoring is poor and the false alarm rate is high, so it has certain limitations. In this paper, a new ship fire alarm system based on infrared image recognition technology is studied, and the image recognition, edge processing, smoothing filtering and other technologies of the ship fire monitoring and alarm system are introduced in detail.
【作者单位】: 南阳理工学院;
【基金】:河南省基础与前沿技术研究计划资助项目(162300410194) 河南省科技攻关资助项目(122102210243)
【分类号】:TP391.41;U664.88;U698.4

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相关硕士学位论文 前1条

1 史海山;基于红外图像的火灾探测与图像信息处理系统研究[D];重庆大学;2006年



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