基于BP神经网络的电缆沟火灾预警系统

A Fire Early Warning System of the Cable Duct Based on BP Netral Net

传统的电缆沟火灾探测方法具有局限性和单一性,因此,鉴于传统电缆沟火灾探测技术的不足以及在安全领域应用的局限性。本文基于BP神经网络算法通过对样本数据的训练得到一个具有较高精确度的电缆沟火灾预警模型,提出一种具有高度智能、识别能力强且满足自动报警功能的火灾探测系统。

In view of insaficient fire detection technique of traditional cable duct and applied limitations for safety field.The paper,based on neutral net algorithm,obtains a fire early waring model with higher precision through training to sample data.Which sets a kind of fire detection system with high intelligence,strong identification ability and meeting automation warning function.