基于元胞自动机数学模型的瓦斯抽采管道漏点定位研究

为了解决普通数学模型难以准确描述瓦斯抽采管道内流体的流动状态问题,提出了以元胞自动机模型为基础的瓦斯抽采管道漏点定位模型。根据元胞自动机在空间和时间上离散化的特性来演化管道流体在时空上的连续变化,将管径变化、管壁粗糙度、管构异件种类和数量以及温度等参数沿管道进行离散化,利用元胞自动机理论以及管道两端的信号对管道沿线压力和流量等参数变化进行预测,以判断泄漏的发生和漏点定位。通过实验验证,该方法能提高漏点定位精度。

Research on leakage point positioning of gas drainage pipeline based on cellular automata mathematical model

In order to solve the problem that the ordinary mathematical model is difficult to accurately describe the flow state of fluid in the gas extraction pipeline, a model of leakage point positioning for the gas drainage pipeline based on the cellular automata model was presented. According to the discretization characteristics of cellular automata in space and time, the continuous change of pipeline fluid in space and time was evolved, and the parameters such as pipeline diameter change, pipeline wall roughness, types and quantities of pipeline structure irregular parts and temperature were discretized along the pipeline. Based on the cellular automata theory and the signals at both ends of the pipeline, the change of pressure and flow rate along the pipeline were predicted to determine the occurrence of leakage and the leakage point positioning. The experimental results showed that this method greatly improved the accuracy of leakage point positioning.