本文介绍微机动态特性辨识系统的数据采集与实时处理软件。文中对一些简单实用的实时处理手段,如施加试验信号、剔除错误信息、递推相关运算以及近似地获取分段常值函数等,作了探讨。最后介绍了一个以350MW火电机组为对象的动态特性辨识的实际例子。 This article introduces the computer data acquisition and real-time processing software for dynamic characteristic identification system. In this paper, some simple and practical means of real-time processing, such as the application of test signals, excluding error information, recursive correlation operations, and approximate access to the piecewise constant function are discussed. Finally, a practical example of dynamic characteristics identification for a 350MW thermal power unit is introduced.