通过对故障模拟实验结果的分析，进一步建立起供热管网故障诊断的系统专家知识库。
The expert KBS of heating pipe network failure diagnosis system was established via the results of failure simulating experiments.
绕过传统的通过求解微分方程确定温度的方法，利用人工神经网络来预测管网系统的终端温度，从而为供热管网终端泄漏诊断提供参考依据。
The artificial neural network method was used to anticipate the terminal temperature of the heat pipe network, and the diagnosis can accord to the anticipation result.
为建立供热管网的在线优化运行、故障实时诊断以及仿真分析和培训系统，必须建立一种高精度的蒸汽供热管网动态仿真模型。
An accurate steam heating network simulation model is necessary to build a optimal system for realtime default detection and for analysis and training.
本论文在分析传统供热管网的基础上，对分布式变频供热输配系统进行了分析和研究。
On the basis of the analyses on traditional District Heating System and adjusting, the thesis gives some analyses on the Dynamic Distributed District Heating System.
本论文在分析传统供热管网的基础上，对分布式变频供热输配系统进行了分析和研究。
On the basis of the analyses on traditional District Heating System and adjusting, the thesis gives some analyses on the Dynamic Distributed District Heating System.
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