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针对区域热网的特点 ,提出了一种用于区域热网管网阻力特性系数辨识和管网堵漏以及传感器故障诊断的新方法— RC2 方法。该方法将整个管网各管段的阻力特性系数按管段的连接关系分为若干 2到 5维的子空间 ,在每一子空间进行域的收缩 ,从而使各子域不断缩小并逼近各管段的阻力特性系数 ,根据实时测量参数与域的关系可以同时进行管网的故障诊断。本文介绍了该方法的基本原理、数学模型以及域收缩的具体步骤和故障诊断的基本方法 ,最后结合仿真结果对影响参数辨识和故障诊断灵敏度的因素进行了分析。该方法充分考虑了工程实际情况 ,经在沈海热网和辽河热网等工程中的应用表明 ,参数辨识具有很高的可靠性和较高的精度 ,完全可以满足工程需要 ,故障诊断可以和参数辨识同时进行 ,其灵敏度较高 ,误判率很低。
Aiming at the characteristics of regional heating network, a new method named RC2 for identifying coefficient of resistance of regional heating network, plugging of pipeline and sensor fault diagnosis is proposed. According to the method, the coefficient of resistance of each pipe section is divided into a number of subspaces of 2 to 5 dimensions according to the connection relation of the pipe sections, and the domain shrinks in each subspace, so that the sub-domains are continuously reduced and approached to each pipe section Resistance coefficient, according to the real-time measurement of the relationship between parameters and domain can be simultaneously pipe network fault diagnosis. This paper introduces the basic principle of the method, the mathematical model and the concrete steps of the domain contraction and the basic methods of fault diagnosis. Finally, the factors influencing the parameter identification and fault diagnosis sensitivity are analyzed with the simulation results. The method takes full account of the actual situation of the project. The application in Shenhai thermal network and Liaohe heating network shows that the parameter identification has high reliability and high precision, which can fully meet the engineering needs. The fault diagnosis can Parameter identification at the same time, its higher sensitivity, low false positive rate.