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作 者:李冀[1] 胡海鹏 吴晓君[1] LI Ji;HU Hai-peng;WU Xiao-jun(School of Mechanical and Electrical Engineering,Xi'an University of Architecture and Technology,Xi'an 710311,China)
机构地区:[1]西安建筑科技大学机电工程学院,陕西西安710311
出 处:《控制工程》2022年第6期1065-1071,共7页Control Engineering of China
基 金:陕西省自然科学基金资助项目(2019-JM-566)。
摘 要:近年来,随着燃气网络规模扩大及自动化和信息化程度的提高,燃气系统安全管理的复杂性也随之增加。由于系统的复杂程度和运行成本较大,当某节点受到来自内部或外部的威胁引起故障时,很难在短时间内实现燃气系统的检修,从而造成更大规模的系统瘫痪。针对这个问题,首先提出了基于有序二元决策图(OBDD)的系统拆分方法,给出了燃气系统模型的建模和描述方法,并基于流量平衡约束建立燃气测量参数之间的关联模型。基于OBDD的系统拆分方法在传感器采集到故障信息的基础上,将可能受到波及的区域与故障区域进行分离。最后,利用并行计算工具进行实例仿真证实了该方法的有效性,节约了计算时间。In recent years, with the expansion of gas network scale and the improvement of automation and informatization, the complexity of gas system safety management also increases. Due to the complexity of the system and the large operating cost, when a node is subject to internal or external threats and causes a failure, it is difficult to achieve the overhaul of the gas system in a short time, resulting in a larger-scale system paralysis.In response to this problem, a system splitting method based on ordered binary decision diagrams(OBDDs) is proposed in this paper. A modeling and description method for the gas system model is given, and a correlation model between gas measurement parameters based on flow balance constraints is established. The OBDD-based system splitting method separates the area that may be affected from the fault area on the basis of the fault information collected by the sensor. Finally, an example simulation using a parallel computing tool confirms the effectiveness of the method and saves computing time.
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]
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