具有误操作自诊断的高效过程系统仿真平台

High Efficiency Simulation Software Platform for Process System with Misoperation Autodiagnosis

采用符号定向图(SDG,Signed Directed Graph)深层知识模型配合反向推理方法,可以有效解决仿真训练过程中误操作实时在线自诊断问题。经仿真案例试验表明,本方法不但具有较高的诊断完备性、较高的诊断分辨率,而且能够给出详细的由于误操作导致故障的解释。基于面向对象的编程(OOP)原理,以信息驱动引擎的软件结构,配合“三元素”操作分类法和信息全程压缩技术,新开发的仿真软件平台具有代码效率高、占用容量小、运行速度快以及应用软件开发方便等特点。迄今,已有45所大学的大批量学生使用本仿真软件进行实习训练,培训效果很好。

By using of signed directed graph (SDG) deep knowledge model and inverse direction inference technique, the problem of on-line misoperation autodiagnosis during computer simulation training can be solved effectively. The simulation case studies show that the SDG diagnosis method has good completeness, fine resolution and detailed explanation facility of abnormity caused by misoperation and it抯 propagation in process. Based on the object oriented programming technique, the message driven software structure, the 搕hree elements?classification of process operation and full running time data compression technology, the new developed simulation software platform has the features of high efficiency, low memory space occupation, high running speed and easy application software development. Up to now, a lot of students in 45 universities have conducted training on this simulation software. The training results are very successful.