实际供热二次网仿真建模及泄漏故障诊断
供热;二次网;泄漏故障诊断;流量监测点;FAST-LTS算法;CUSUM方法
摘要：
为提高集中供热系统泄漏故障诊断效率,降低小区供热二次网失水率,本文基于变点理论中的CUSUM(累积和)方法,采用最小截平方和(LTS)估计原理中的FAST-LTS算法作为泄漏位置诊断的判定准则,结合管网仿真模型,建立了相应的泄漏故障诊断算法。以山东某小区供热二次网(单热源枝状网)为研究对象,在实验管网相同拓扑结构、不同泄漏位置的3种泄漏率工况下,对所提出的算法进行了初步验证。然后,利用超声波流量计采集实际流量数据对管网仿真模型进行了验证。最后,根据经验确定参数(e,o)=(1.015,0.6σ),采用流量监测点代替传统压力监测点,以克服实际二次网只有热源端压力的情况。研究结果表明:针对4种泄漏工况的诊断,当误差距离L=20 m时,泄漏故障诊断准确度达到75%,验证了本文所提出的算法的可行性与适用性。
Abstract：
This study develops a leakage fault diagnosis algorithm for central heating systems to improve the leakage fault diagnosis efficiency and reduce the heating secondary network water loss rates. The method integrates the CUSUM (cumulative sum) change-point theory with the FAST-LTS algorithm from least trimmed squares (LTS) estimation as the decision criterion, combined with a pipe network simulation model. Taking the heating secondary network (single heat source branched network) of a residential area in Shandong Province as the research object, the proposed algorithm is preliminarily validated under three leakage rate conditions with the same topology structure and different leakage positions in the experimental pipeline network. Then, the actual flow data is collected using an ultrasonic flowmeter to validate the simulation model of the pipeline network. Finally, the parameters (e, o) are empirically determined to be (1.015, 0.6σ), and the flow monitoring points replace the traditional pressure monitoring points to overcome limited pressure data availability at heat sources. The research results show that for the diagnosis of four leakage conditions, when the error distance L is 20 m, the accuracy of leakage fault diagnosis reaches 75%, which verifies the feasibility and applicability of the algorithm proposed in this paper.
Keywords:heating; secondary network; leakage fault diagnosis; flow monitoring point; FAST-LTS algorithm; CUSUM method