海洋环境中材料腐蚀数据采集处理网络系统的研究

介绍了利用电话公网为传输栽体建立以海洋腐蚀与防护国防科技重点实验室为中心辐射青岛、厦门和三亚3个海水试验站的材料腐蚀数据采集计算机网络平台。研发了具有自主知识产权的多通道电偶腐蚀数据自动采集系统,将该系统与网络平台相结合可实现远程实验数据自动采集。同时为了有效地管理、存储和实现数据的共享,研究建立了海洋环境材料腐蚀与防护数据库,收集和整理了大量的材料腐蚀数据。在分析研究大量腐蚀数据的基础上建立了误差反传（BP）人工神经网络预测模型和灰色GM（1,1）腐蚀预测模型。从而形成一套较完整的数据采集、处理和分析网络系统。     

基于DE-BPNN模型的含腐蚀缺陷管道失效压力预测

为提升含腐蚀缺陷管道失效压力预测精度,准确把控管道状态,建立基于DE-BPNN的含腐蚀缺陷管道失效压力预测模型,有效避免BPNN模型陷入局部最优问题,提升预测精度.基于61组管道爆破实验数据,分别用DE-BPNN与BPNN模型进行仿真计算.结果表明:DE-BPNN预测结果平均相对误差为3.26％,R2为0.98585,...     

多水源用水网络优化模型研究

为了解决含有多类供水水源的用水网络优化设计问题,研究了过程工业用水特点,将各用水单元看成水阱,各单元的排水看成潜在水源,从而将供水问题转化为水阱和水源的匹配问题,建立用于多水源用水网络优化的配水模型,并详细阐述该模型应用步骤及其特点。     

Internal corrosion hazard assessment of oil & gas pipelines using Bayesian belief network model

A substantial amount of oil & gas products are transported and distributed via pipelines, which can stretch for thousands of kilometers. In British Columbia (BC), Canada, alone there are over 40,000 km of pipelines currently being operated. Because of the adverse environmental impact, public outrage and significant financial losses, the integrity of the pipelines is essential. More than 37 pipe failures per year occur in BC causing liquid spills and gas releases, damaging both property and environment. BC oil & gas commission (BCOGS) has indicated metal loss due to internal corrosion as one of the primary causes of these failures. Therefore, it is of a paramount importance to timely identify pipelines subjected to severe internal corrosion in order to improve corrosion mitigation and pipeline maintenance strategies, thus minimizing the likelihood of failure. To accomplish this task, this paper presents a Bayesian belief network (BBN)-based probabilistic internal corrosion hazard assessment approach for oil & gas pipelines. A cause-effect BBN model has been developed by considering various information, such as analytical corrosion models, expert knowledge and published literature. Multiple corrosion models and failure pressure models have been incorporated into a single flexible network to estimate corrosion defects and associated probability of failure (PoF). This paper also explores the influence of fluid composition and operating conditions on the corrosion rate and PoF. To demonstrate the application of the BBN model, a case study of the Northeastern BC oil & gas pipeline infrastructure is presented. Based on the pipeline's mechanical characteristics and operating conditions, spatial and probabilistic distributions of corrosion defect and PoF have been obtained and visualized with the aid of the Geographic Information System (GIS). The developed BBN model can identify vulnerable pipeline sections and rank them accordingly to enhance the informed decision-making process.     

A neuro-fuzzy algorithm for assessment of health,safety, environment and ergonomics in a large petrochemical plant

Process plants such as petrochemical units have been continuously trying to improve Health, Safety, Environment and Ergonomics (HSEE) programs. This study proposes an adaptive network-based fuzzy inference system (ANFIS) for assessment of HSEE programs in a petrochemical plant. The proposed neuro-fuzzy approach is applied to a set of operators in the petrochemical unit to show its applicability and superiority. To achieve the objectives of this study, standard questionnaires with respect to HSEE are completed by operators. The average results for each category of HSEE are used as inputs and accomplishment of HSEE programs is used as output for the algorithm. Moreover, this algorithm is used to rank operators performance with respect to HSEE. Finally, the algorithm identifies efficient operators with respect to HSEE. This is the first study that introduces an intelligence algorithm for assessment and improvement of HSEE program in a petrochemical plant.     

铁路行车事故救援智能辅助决策系统研究

介绍了铁路行车事故救援智能辅助决策系统的设计及实现。采用产生式规则与数据库技术相结合的铁路行车事故救援决策知识表示方法。推理过程为正向推理。决策树分层分类并嵌入数据库。该系统可在行车事故现场以人机交互方式提供一个或几个救援方案。为铁路行车事故救援决策提供了一种新的途径与范例。并为人工智能在新的工程领域的应用进行了有益的尝试     

人工养殖与野生扬子鳄卵中重金属含量分析

以原子吸收分光光度法，测定了人工养殖与野生的扬子鳄卵中Cu、Zn、Cd、Pb等重金属元素的含量，并对上述4种元素的分布状况和差异性进行了探讨。实验表明，人工繁殖卵中重金属元素含量高于野生卵，人工饲养过程中所提供的饮水和饲料中重金属元素含量高于自然界，值得关注和重视。     

非线性理论在开采沉陷中的应用

简要介绍了近年来把非线性理论应用于矿山开采沉陷领域的一些研究成果,主要包括两大部分：（１）神经网络理论在开采沉陷中的应用;（２）离散单元法在开采沉陷中的应用     

大气环境质量综合评价的B－P网络模型

选取大气环境质量的三级标准作为３个学习样本，以ＳＯ＿２，ＮＯ＿ｘ和ＴＳＰ三种污染物的三级标准浓度限值作为样本的输入特征值，建立了三参数的Ｂ－Ｐ网络大气环境质量综合评价模型，用该模型对３１个测点的大气环境质量进行评价，并与模糊数学和灰色系统法的评价结果比较，表明Ｂ－Ｐ网络用于大气环境质量评价具有优越性。     

我校图书馆自动化建设的实践与思考

本文简述了我校图书馆自动化建设的历史进程，分析了图书馆自动化建设的现状、达到的效果和尚存在的问题，并针对这些问题，提出了相应的改进措施。