煤炭工程 ›› 2013, Vol. 45 ›› Issue (s1): 168-111.doi: 10.11799/ce201308112

• 信息工程 • 上一篇    下一篇

改进FNN在煤矿安全生产预警系统中的应用

张建安,李文俊,关有利   

  1. 陕煤集团神木张家峁矿业有限公司
  • 收稿日期:2013-03-17 修回日期:2013-05-23 出版日期:2013-08-12 发布日期:2013-08-12
  • 通讯作者: 赵燚 E-mail:zhpb83@163.com

Application of Improved FNN in the Coal Mine Safety Warning System

  • Received:2013-03-17 Revised:2013-05-23 Online:2013-08-12 Published:2013-08-12

摘要:

针对煤矿安全预警问题以及传统模糊神经网络(FNN)存在的缺点,构建了基于改进FNN的煤矿安全生产预警系统模型。实际应用结果表明:该网络模型运行性能良好,对安全状况可以进行高精度预测。针对不同综采工作面,建立与之相对应的安全生产预警系统模型即可用其对安全生产状况进行实时评测,不断学习和总结生产进程中的规律,以便及时采取预防措施来避免相关事故的发生。

关键词: 煤矿安全, 预警模型, 模糊神经网络, 安全预测

Abstract:

According to the problem of coal mine safety warning and the shortcomings in traditional Fuzzy Neural Network (FNN), the coal mine safety warning model based on improved FNN is constructed. Application results show that this model has the advantages of good performance and high prediction accuracy. The coal mine security conditions can be predicted by establishing the appropriate warning models for different mechanized mining faces. In order to take the appropriate preventive and protective measures and avoid the occurrence of major accidents, dynamic regularity in the production process should be grasped timely.

Key words: Coal Mine Safety, Warning Model, Fuzzy Neural Network, Safety Prediction

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