Pipeline leakage detection and isolation: An integrated approach of statistical and wavelet feature extraction with multi-layer perceptron neural network (MLPNN)

Leakage diagnosis of hydrocarbon pipelines can prevent environmental and financial losses. This work proposes a novel method that not only detects the occurrence of a leakage fault, but also suggests its location and severity. The OLGA software is employed to provide the pipeline inlet pressure and outlet flow rates as the training data for the Fault Detection and Isolation (FDI) system. The FDI system is comprised of a Multi-Layer Perceptron Neural Network (MLPNN) classifier with various feature extraction methods including the statistical techniques, wavelet transform, and a fusion of both methods. Once different leakage scenarios are considered and the preprocessing methods are done, the proposed FDI system is applied to a 20-km pipeline in southern Iran (Goldkari-Binak pipeline) and a promising severity and location detectability (a correct classification rate of 92%) and a low False Alarm Rate (FAR) were achieved.     

混合电镀废水处理工艺

物化法是处理混合电镀废水的一种有效方法,对COD、Pb离子、Ni离子尤其是Pb离子、Ni离子的处理效果非常理想。COD的去除率达到80.1%,Pb离子的去除率达到97.2%,Ni离子的去除率达到98.1%,中间产出的污泥也可得到较好处理。     

伊宁市空气中硫酸盐化速率与二氧化硫相关性研究

对伊宁市1999-2002年空气中硫酸盐化速率和二氧化硫监测值进行回归分析,结果表明,二者之间存在显著的线性正相关关系,但对各年度回归方程斜率和截距进行统计检验,则表现出显著的差异。     

Influence of super-absorbent polymer on the growth rate of gas hydrate

The growth rate of hydrate and morphology of methane hydrate formation were studied in a visual pressure cell at 5.5 MPa. The gas hydrate formation was carried out (coal mine methane (CMM) + tetrahydrofuran (THF) + sodium dodecyl sulphate (SDS) + H₂O) with and without SAP. Experimental data on the hydrate growth rate and induction time were obtained for three different CMM samples. The influence of SAP on hydrate growth rate was determined. Results showed that after the addition of SAP, with the methane concentration increased in CMM, the induction time was reduced by 9 min, 10 min and 3 min, and the growth rate was shortened by 0.56 × 10⁻⁶/m³ min⁻¹, 0.53 × 10⁻⁶/m³ min⁻¹ and 1.42 × 10⁻⁶/m³ min⁻¹, respectively. This study could be useful for the recovery of methane from CMM by forming hydrate in the chemical and mining industry.     

Improving flammable mass estimation for vapor cloud explosion modeling in an offshore QRA

Presence of congestion and confinement in offshore modules due to limited availability of space make Vapor Cloud Explosions (VCEs) a significant contributor to risk. There are several methods available for quantifying the blast overpressure generated over distances and time. The approaches range from one-dimensional analysis using correlation models to 3-D analysis using Computational Fluid Dynamics (CFDs). The correlation models are easy to use and well-suited for assessing a number of credible VCE scenarios. However, the overpressure results predicted by correlation models depend on a good estimate of flammable mass. This paper proposes a method to improve the estimation of flammable mass. The UKOOA Ignition model developed by the Energy Institute London is used to estimate the flammable mass; and is modified to account for the effect of mitigation measures on release rate. A directional probability for wind is also added to the model. The proposed model takes into consideration the platform geometry and offshore conditions for each scenario, release location and direction, and wind direction. An offshore production platform with three deck levels is presented as an example case. The flammable mass is also computed using CFD and the results are compared to that of the proposed and the conventional methods. The results show that the flammable masses for selected scenarios are better estimated by the proposed method, being much lower than estimated by the conventional method, though larger than the CFD results. This paper presents an interim result of a project undertaken to improve QRA studies for VCE events.     

高炉渣制备光催化剂及其催化活性的研究

以废弃的冶金高炉渣为原料,采用混酸酸溶-水热合成法制备了光催化剂,并对其进行了SEM、UV-Vis、XRD、比表面积等物性测试分析;通过处理甲基橙模拟废水,探讨了制备过程中渣酸比、混酸配比、渣用量、溶渣时间等条件对高炉渣制光催化剂活性的影响。将所制光催化剂与P25光催化剂进行对比分析,结果表明,高炉渣制光催化剂不仅具有较高的光催化活性,而且制备成本低廉,仅为P25光催化剂的1/10,这对于冶金高炉渣的循环再利用及光催化氧化技术的工业化应用具有重要的实际意义。     

人工湿地对二级出水中TN、TP去除效果的季节性研究

研究了垂直流和表面流两种人工湿地系统在水力停留时间为2 d条件下,在不同季节对二级出水中TN、TP的去除效果。结果显示,垂直流湿地系统对TN、TP的去除效果优于表面流湿地系统。两种类型的人工湿地对TN的去除效果随季节的变化而波动,夏秋季节去除率最高,春季次之,冬季去除效果最差;垂直流人工湿地系统对TP的去除效果随季节的变化趋势与TN去除率的变化相同,而表面流湿地系统对TP的去除效果在春夏秋季变化不大,冬季的平均去除率仅有16.5%。分析认为,人工湿地应用于二级出水的深度处理,对于满足观赏性景观环境用水(尤其是观赏性河道和湖泊类)的水质指标是可行的。     

某炼油厂冷却循环水系统故障与危害性分析

根据采集的某炼油厂一年的冷却循环水系统的故障数据,采用故障模式影响及危害性分析方法对该系统的可靠性进行了分析.由该系统结构特点,划分了水冷塔、换热器、水冷塔风机、水泵、水管、阀门等7个子系统及19种故障模式,统计了各子系统的故障率,分析了系统的故障模式及其故障原因,计算了各子系统的危害度.结果表明水泵及水冷塔风机的危害度最高,换热器的危害度排第三,但其故障率排第四,说明在做故障分析时不能只统计故障率而不进行危害度分析.最后提出了相应的改进措施,经过一年的实际运行,效果明显.     

超声波探伤技术中的波高百分比法的认识

对波高百分比探伤方法的认识,本文将该方法的基本理论、标准规定波幅关系以及在超声探伤中该方法的技术做一概略介绍。     

洪水泥石流等自然灾害对旅游景区的破坏作用研究

通过泥石流灾害模拟模型与灾害损失率计算方法了解旅游景区的损失状况,研究自然灾害对旅游景区的破坏作用。旅游景区洪灾模拟模型由分流模型与汇流模型构成,根据泥石流多相流成分中固液两相分离原则构建泥石流分流模型;引用DEM数据得到泥石流流域栅格的汇流方向,根据经验模型计算汇流用时,采用八方向方法获取河道信息,基于这些数据构建泥石流模拟的汇流模型,采用ArcGis软件实时呈现该模型的泥石流灾害模拟效果;结合ArcGis软件显示的灾情数据,采用洪灾损失率计算方法获取旅游景区自然灾害损失率。实验结果表明,该模型计算旅游景区建筑损失率误差均小于5%,在有效模拟泥石流灾害的同时,可准确描述自然灾害对旅游景区的破坏作用。