| 基于数据融合技术的火灾探测算法 |
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| 引用本文： | 傅剑锋,雍静.基于数据融合技术的火灾探测算法[J].低压电器,2007(12):22-24,48. |
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| 作者姓名： | 傅剑锋 雍静 |
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| 作者单位： | 重庆大学,电气工程学院,重庆,400044 |
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| 摘 要： | 提出了一种基于数据融合技术的火灾探测算法.此算法采用数据融合系统的三层结构,在特征层利用BP神经网络对明火和阴燃火分别进行特征识别,识别结果结合火灾危险度因子,综合得出系统多级决策输出.火灾危险度因子的引入为火灾漏电保护系统等的相关信息融合提供了算法接口,使系统能对电气火灾提供更加可靠的防范.
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| 关 键 词： | 火灾探测 数据融合 火灾危险度因子 火灾漏电保护 |
| 文章编号： | 1001-5531（2007）12-0022-03 |
| 修稿时间： | 2006-12-01 |
Fire Detection Algorithm Based on Data Fusion Technology |
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| FU Jianfeng,YONG Jing.Fire Detection Algorithm Based on Data Fusion Technology[J].Low Voltage Apparatus,2007(12):22-24,48. |
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| Authors: | FU Jianfeng YONG Jing |
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| Affiliation: | College of Electrical Engineering, Chongqing University, Chongqing 400044, China |
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| Abstract: | A fire detection algorithm based on the data fusion technology was presented. The three-layer structure of data fusion system and BP artificial neural network on the character layer were used to recognise the feature of naked flame and smoldering fire respectively. The multi-level decision was obtained by combining the recognition results with the fire risk factor. The introduction of fire risk factor can provide the algorithm interface for relevant information fusion of fire electricity leakage protection system, so the system can provide more reliable protection for electric fire. |
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| Keywords: | fire detection data fusion fire risk factor fire electricity leakage protection |
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