摘要
利用计算机实现矿井通风系统优化管理和自动控制,必须具有相应的硬件基础,即需要一定数量的遥控检测装置,实时检测出系统运行中的部分状态变量的值,并传送到控制中心,作为计算机决策的依据。本文提出了利用加权最小二乘状态估计器对矿井通风系统进行静态状态估计以及对检测量中出现的错误数据进行识别、纠正的方法。利用该算法对一个中等规模的实际矿井通风系统进行了计算机的仿真计算,获得了满意的结果。
The application of the least square static state estimation to mine ventilation systems was described in this paper.The erroneous data in the test were also pointed out,and the replacement techniques were presented to make the measured data more reliable.Based on the data,the problems of the optimal airflow management can be solved.The algorithm was simulated on the computer to handle the estimation of a real middle-size system.The results were satisfactory.
出处
《中国安全生产科学技术》
CAS
北大核心
2010年第3期75-79,共5页
Journal of Safety Science and Technology
关键词
矿井通风
最小二乘估计
静态
非线性网络
mine ventilation
least square estimation
static state
nonlinear network
