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.     

基于电磁辐射峰谷比值法的煤与瓦斯突出预警

为了提高电磁辐射预警煤与瓦斯突出危险的准确性,减少误报现象,在分析大量电磁辐射现场数据基础上,基于电磁辐射预警煤与瓦斯突出危险原理,提出了电磁辐射峰谷比值法,利用正态分布统计特征计算每个班次的电磁辐射瞬时强度峰值均值和谷值均值,并将其比值作为煤与瓦斯突出危险性的预警值。最后,将该方法应用于义忠煤矿11112风巷掘进工作面,研究结果表明:与临界值系数和动态变化趋势系数法相比,峰谷比值法误报较低,预警准确性高,能够很大程度上减少误报对生产的影响。     

Corrosion failure probability analysis of buried gas pipelines based on subset simulation

Corrosion is the main reason for the failure of buried gas pipelines. For effective corrosion failure probability analysis, the structural reliability theory was adopted in this study to establish two calculation models for pipeline corrosion failure: the pressure failure model and von Mises stress failure model. Then, two calculation models for the corrosion failure probability were established based on a corrosion depth growth model obtained from actual survey data of soil corrosion characteristics. In an example, Monte Carlo simulation (MCS) and subset simulation (SS) were used to analyze the corrosion failure probability of pipelines, and the results were compared. SS can compensate for the shortcomings of MCS as it has higher computational efficiency and accuracy. Therefore, SS was adopted to simulate variations in the corrosion failure probability of buried pipelines with the service time for the two failure probability calculation models, which were applied to a natural gas pipeline located in a chemical industry park in Zhuhai, China. A sensitivity analysis was carried out on the relevant parameters that affect the failure probability. The results showed that multiple loads caused by the covering soil, residual stress, temperature differential, and bending stress have a non-negligible effect on the pipeline reliability. The corrosion coefficients gradually become the most important factors that affect the failure probability with increased service time. The proposed methodology considers the actual operating conditions of pipelines to provide a reliable theoretical basis for integrity management.     

不同水解方法对土壤中性糖和氨基糖含量测定的影响

碳水化合物是土壤有机质的重要组成成分,其含量和特性对土壤性质有很大的影响。水解试剂的选择对土壤碳水化合物测定的准确度有着至关重要的影响,文章首次研究了不同水解方法测定土壤中性糖和氨基糖含量的差异。结果表明,中性糖的最佳水解条件为4mol·L-1三氟乙酸(TFA)在105℃下水解4h,氨基糖的最佳水解条件为6mol·L-1HCl在105℃下水解8h。此外文章实现了8种中性糖(核糖、鼠李糖、岩藻糖、阿拉伯糖、木糖、葡萄糖、半乳糖和甘露糖)和4种氨基糖(氨基葡萄糖、氨基半乳糖、氨基甘露糖和胞壁酸)同时在DM-1毛细管气相色谱柱上的基线分离且本方法具有一定的精密度和准确度。该实验的研究将为土壤中性糖和氨基糖的同时分析提供一定的技术支持和理论基础。     

城市聚乙烯燃气管道漏气案例统计与原因分析

目的 分析影响聚乙烯燃气管道漏气的薄弱部位及原因,为建立聚乙烯燃气管道安全服役评价方法可行性分析提供实际数据支撑。方法 收集、归纳某城市聚乙烯燃气管道实际应用中的290例漏气案例,从失效薄弱部位、服役年限、月份等多方面进行统计分析,并讨论聚乙烯燃气管道发生漏气的主要原因。结果 PE燃气管道安全服役的钢塑转换、套袖、焊接位置等连接位置是聚乙烯燃气管道服役的薄弱部位,服役年限与漏气案例比例成正比,且各部位的敏感月份相差较大。影响管道服役的主要因素是环境/应力长期耦合作用和外力突发作用。结论 土壤环境中存在的有机酸介质会加速管道老化,特别是对于施工等带来的固有薄弱缺陷、外界因素带来的表面损伤、应力集中等,在土壤服役环境中化学介质、温度、运行压力的耦合作用下,管道性能大大下降,产生漏气事故,给安全运行带来极大威胁。     

电捕法净化焙烧炉沥青烟气

针对炭素焙烧炉烟气特点,采用雾化水预处理和电捕焦油技术,对某炭素厂焙烧炉烟气进行治理,达到既高效净化有害气体,又降低资金投入。处理后的烟气指标为:沥青烟浓度13.8mg/m3,苯并(a)芘浓度0.053×10-3mg/m3,烟尘浓度19.1mg/m3,各项污染物均达标排放。     

锦州市机动车尾气对市区大气环境污染影响评价

在对锦州市机动车尾气进行年检、抽检,取得了大量监测数据的基础上,采用等标污染指数法对市区机动车尾气污染进行分析评价。评价结果表明：市区煤烟型大气污染正逐步向机动车尾气混合型污染过渡：根据评价结果,提出了防治对策和建议。     

Relationships between anaerobic consortia and removal efficiencies in an UASB reactor degrading 2,4 dichlorophenol (DCP)

To gain more insight into the interactions between anaerobic bacteria and reactor performances (chemical oxygen demand-COD, 2,4 dichlorophenol-2,4 DCP removals, volatile fatty acid-VFA, and methane gas productions) and how they depended on operational conditions the microbial variations in the anaerobic granular sludge from an upflow anaerobic sludge blanket (UASB) reactor treating 2,4 DCP was studied. The study was composed of two parts. In the first part, the numbers of methanogens and acedogens in the anaerobic granular sludge were counted at different COD removal efficiencies. The relationships between the numbers of methanogens, the methane gas production and VFA production were investigated. The COD removal efficiencies increased to 74% from 30% while the number of total acedogens decreased to 10 from 30 cfu ml(-1). The number of total methanogens and acedogens varied between 11 x 10(3) and 10 x 10(9)MPN g(-1) and 10 and 30 cfu ml(-1) as the 2,4 DCP removal efficiencies were obtained between 60% and 99%, respectively. It was seen that, as the number of total acedogens decreased, the COD removal efficiencies increased. However, the number of total methanogens increased as the COD removal efficiencies increased. Correlations between the bacterial number and with the removal efficiencies obtained in different operational conditions were investigated. From the results presented in this paper a high correlation between the number of bacteria, COD removals, methane gas percentage, 2,4 DCP removals and VFA was observed. In the second part, methanogen bacteria in the anaerobic granular sludge were identified. Microbial observations and biochemical tests were applied to identify the anaerobic microorganisms from the anaerobic granular sludge. In the reactor treating 2,4 DCP, Methanobacterium bryantii, Methanobacterium formicicum, Methanobrevibacter smithii, Methanococcus voltae, Methanosarcina mazei, Methanosarcina acetivorans, Methanogenium bourgense and Methanospirillum hungatei were identified.     

纳米气敏材料的研究现状与发展

各种气体尤其是可燃性气体和毒性气体的检测监控已成为当前急需解决的问题，纳米气敏材料的研究对提高气敏材料的灵敏度、选择性和长期稳定性，以及如何降低工作温度和缩短响应温度时间等方面起着重大的作用。针对氢气、硫化氢、碳氢化合物、氮氧化合物、乙醇、丙酮等气体的纳米气敏材料的研究现状作了一定的研究，并对发展的趋势作了展望。     

国内外硫磺回收工业发展现状对比与展望

通过对国内外硫磺回收工业发展现状的对比分析，提出了２０００－２０１５年我国硫回收工业的发展战略目标。