为进行管道监控,采用虚拟仪器可重新配置的嵌入式测控平台CompactRIO搭建了一套监控系统,完成信号传输、数据采集、数据记录、实时信号显示等功能。根据初始条件和边界条件,利用特征线方法,计算得到管道模型整个流场和压力场的分布情况。将计算结果和实际测量值相比较,通过粒子群优化算法完成参数辨识。实际测量值与参数辨识后的对应理论值非常接近,表明了该方法的有效性。
To realize pipeline supervisory control,a monitoring system is established for signal trans-mission,data acquisition, data recording, real-time signal display and so on by using an embeded measurement and control platform CompactRIO with laboratory virtual instrument engineering workbench( LabVIEW ) which can be configured renew. According to the initial conditions and boundary conditions,the distributions of velocities and pressures for a pipeline model are calculated using the method of characteristics. The parameters are identified using the particle swarm optimization algorithm,and the calculation and measurement results are compared. The results show that the measurement values are approximate to the theoretic values of parameter identification,which shows the effectiveness of the method.