结合地铁安全门报警的实际情况,研究了基于人工神经网络的智能化报警模型,并将其应用到地铁安全门报警系 统。通过数值实验证明,该地铁安全门的神经网络报警模型可实现对报警类型、报警等级、报警联动动作等的预测和判 断,对地铁工作人员及时准确地判断报警信息具有重要指导意义。

In this paper, a new intelligent alarm model based on artificial neural network has been proposed to support and assist monitors make more accurate decision. Numerical experiments suggested that the new alarm system can predict the alarm information well to some extend. This paper has important signification to direct monitoring works in subway operation system.

江苏省青年自然科学基金资助项目