摘要
为解决电气火灾预警准确率不高的问题,提出了一种联合神经网络与模糊推理的电气火灾预警新方法。该方法有效融合了神经网络和模糊推理的优势,通过神经网络的强大自学习能力对电力线路工作状态参数进行分析处理。在此基础上,运用模糊推理原理构建电气火灾预警系统。将提出的电气火灾预警方法应用于某制造型企业中,实现了对电气火灾的精准预警,有效避免了火灾事故的发生。这对及时、高效、精准地预测电气火灾事故,保障企业员工人身财产安全,提升企业市场竞争力具有一定的实用价值。
In order to solve the problem of low accuracy of electrical fire warning,a new electrical fire warning method combining neural network and fuzzy reasoning is proposed.This method combines the advantages of neural network and fuzzy reasoning effectively.The strong self-learning ability of the former is employed to analyze and process the working state parameters of power lines.On this basis,the fuzzy reasoning principle is used to construct the electric fire warning system.The electric fire warning method is applied to a manufacturing enterprise and realizes accurate early warning of electrical fire and effectively avoids fire accidents.This is of certain practical value for predicting electrical fire accidents in a timely,efficient and accurate way,safeguarding personal and property safety of enterprises and employees,and enhancing corporate competitiveness in market.
作者
张传俊
陈静
张春芳
ZHANG Chuanjun;CHEN Jing;ZHANG Chunfang(School of Intelligent Manufacturing and Automotive,Anhui Business and Technology College,Hefei 231131,China;College of Electrical and Information Engineering,Anhui University of Science and Technology,Hefei 232001,China)
出处
《太原学院学报(自然科学版)》
2025年第2期23-30,共8页
Journal of TaiYuan University:Natural Science Edition
基金
安徽省高校学科(专业)拔尖人才学术资助项目(gxbjZD2021098)
安徽省质量工程项目(2022cxtd017,2023cxtd64,2022tsgsp007,2022sfjk008)
安徽省高校自然科学研究重点项目(2024AH0501390)
校级教学研究项目(2023xj jy24)。
关键词
电气火灾
模糊神经网络
融合算法
火灾预测
electrical fire
fuzzy neural network
fusion algorithm
fire prediction
