矿井风流温度预测分析研究

随着煤矿机械化程度不断提高,特别是随着开采深度逐渐增加,矿井热害问题日益突显,高温环境不仅影响生产效率而且严重危害着工作人员的健康。为了更好地降低高温矿井开采时期巷道风流温度,确定合理的巷道布置方案和矿井通风系统,提出矿井巷道风流温度预测方法。以矿井通风和热力学为基础,结合网络解算,对矿井风流温度分布进行研究,总结各种类型巷道风流温度的计算方法,提出多点风流混合温度计算模型。结合具体矿井进行实际预测分析,预测结果中显示风流温度可能超限的巷道,对通风系统进行优化设计。     

输油管道弯头穿孔泄漏数值模拟

我国在役输油管道经过多年冲刷及腐蚀后,存在安全隐患,使得对输油管道泄漏事故的研究具有重要的现实意义。基于计算流体力学方法,采用有限容积法,建立管道泄漏控制方程,研究不同输送速度及泄漏孔径对泄漏后管内压强分布及泄漏量的影响。结果表明:泄漏孔径一定,输送速度分别与管内压强和泄漏量成正、负相关,泄漏口下游存在局部高压区;输送速度一定,泄漏孔径分别与管内压强和泄漏量成负、正相关,局部高压区的强度降低、范围减小。实际工作中可以采用一定方法增大管内输送速度或增大泄漏口径,从而减少实际的原油泄漏量。     

区域高速公路网紧急事件救援协作体系构建

从加强高速公路紧急事件应急处置、协同管理的角度出发,给出区域高速公路网和紧急事件的定义,界定了紧急事件的分类和特征,阐明建立救援协作体系的必要性。从工作流程和环节控制入手,构建包括决策组织、信息共享、交通管控、现场救援、应急储备等内容在内的区域高速公路网紧急事件救援协作体系,提出各模块构成要件及典型运作模式,有助于统筹区域高速公路网决策指挥,优化应急资源配置和调度,密切紧急事件协同处置,提高救援效率和水平。     

基于知识的管道系统泄漏检测方法

提出了3种基于知识的管道系统泄漏检测方法,分别是:通过对负压波波形分段符号化处理,采用上下文无关法表示波形结构模式的模式识别诊断系统;以选取合适维数的功率谱特征向量而建立的神经网络泄漏检测系统;与泄漏机理数学模型结合的泄漏诊断专家系统。     

压缩空气泡沫水平管路压力损失数值模拟研究

为厘清压缩空气泡沫水平管道输运压力衰减规律,考虑压缩空气泡沫实际工程运用,利用STAR-CCM软件研究泡沫液种类、混合比和管径对湿泡沫水平管网输运过程中压力衰减的影响规律,并结合理论分析建立压缩空气泡沫水平输运过程中的压力衰减预测模型。研究结果表明：管路压降与泡沫液黏度呈正相关性,在混合液流量270 L/min,气体流量1 750 L/min条件下,相同管径高黏度抗溶性水成膜泡沫(AFFF/AR)压降约为低黏度A类和水成膜泡沫(AFFF)1.3倍;对于相同类型泡沫,混合比对管路压降影响较小,100 m长90 mm管径不同混合比之间最大压降差值约为7.21 kPa;管径对压降影响较大,相同泡沫条件下,50 mm管径压降是80 mm管径压降的约9.4倍,80 mm管径压降是100 mm管径压降的约2.8倍,当管径大于80 mm时,不同泡沫对压降的影响逐步减小。压力衰减预测模型计算的压降值与模拟值较前人开展研究所得实验值误差在18%以内,研究结果可以为压缩空气泡沫水平管网设计提供一定理论参考。     

Dynamic characteristics of cool thermal energy storage systems—a review

Cool thermal energy storage (CTES) plays a significant role in conserving available energy, improving its utilization, and correcting the mismatch that occurs between the supply and demand of energy. It has been employed in many applications, for example, cool storage systems for air-conditioning and natural cooling of energy-efficient building. CTES is widely used in various industrial applications such as food and pharmacy processing, where large short duration loads are often required. This paper presents a review on CTES systems and characteristics. The dynamic characteristics of chilled water storage system, coil pipe cool storage system, packed bed cool storage system, gas hydrate cool storage system, and ice slurry cool storage system are analyzed and discussed. The applications of CTES system are summarized.     

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.     

中国集装箱航运网络空间格局及复杂性研究

随着中国航运集装化的快速发展,集装箱航运网络组织空间格局的探讨逐步成为新的关注点。以港口城市为节点构建网络,借助网络整体结构及节点中心性评价指标,对中国航运集装箱网络的拓扑结构和空间结构进行分析,发现其整体结构呈现出"小世界网络"的特点。对比分析沿海港口网络和长江水系网络发现,长江港口体系受航道所限,网络集聚性较弱,中心性较低,但中转功能较强;沿海港口中,广州直接联系的港口城市较多,而上海相对可达性较强,并成为沟通南北及东西向航运的重要节点;青岛、天津等吞吐量较大的港口在全国航运网络中的中心性较低,反映其主要服务于各自腹地;而武汉、南京等港口在网络中的中转功能逐步加强。网络中重要的港口城市节点和多港口区域逐步形成,航运网络日趋复杂化。     

Design parameters for solar light pipes in the Brazilian context

In Brazil, there are few studies investigating the performance and guidelines parameters of solar light pipes from the national perspective. This paper aims to analyse the performance of a solar light pipe prototype installed in a test house in the city of Curitiba/PR, Brazil and to indicate a set of parameters for the design of solar light pipes for the Brazilian social housing context. The performance of a solar light pipe provided with different lighting devices to control and redirect light was analysed. The best performance for diffusers was obtained during partially covered skies. Light redirection devices presented the best efficiency during clear sky conditions with direct sunlight, on working-planes closer to the prototype. The developed prototype with the lighting control devices produced a considerably enhanced lighting performance, complementing natural lighting in indoor environment. Based on the results, recommendations and guidelines to enhance solar light pipe configurations are proposed.     

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.