Fault detection and diagnostics of a three-phase separator

A high demand of oil products on daily basis requires oil processing plants to work with maximum efficiency. Oil, water and gas separation in a three-phase separator is one of the first operations that are performed after crude oil is extracted from an oil well. Failure of the components of the separator introduces the potential hazard of flammable materials being released into the environment. This can escalate to a fire or explosion. Such failures can also cause downtime for the oil processing plant since the separation process is essential to oil production. Fault detection and diagnostics techniques used in the oil and gas industry are typically threshold based alarm techniques. Observing the sensor readings solely allows only a late detection of faults on the separator which is a big deficiency of such a technique, since it causes the oil and gas processing plants to shut down.A fault detection and diagnostics methodology for three-phase separators based on Bayesian Belief Networks (BBN) is presented in this paper. The BBN models the propagation of oil, water and gas through the different sections of the separator and the interactions between component failure modes and process variables, such as level or flow monitored by sensors installed on the separator. The paper will report on the results of the study, when the BBNs are used to detect single and multiple failures, using sensor readings from a simulation model. The results indicated that the fault detection and diagnostics model was able to detect inconsistencies in sensor readings and link them to corresponding failure modes when single or multiple failures were present in the separator.     

Using a Bayesian network to clarify areas requiring research in a host–pathogen system

Bayesian network analyses can be used to interactively change the strength of effect of variables in a model to explore complex relationships in new ways. In doing so, they allow one to identify influential nodes that are not well studied empirically so that future research can be prioritized. We identified relationships in host and pathogen biology to examine disease‐driven declines of amphibians associated with amphibian chytrid fungus (Batrachochytrium dendrobatidis). We constructed a Bayesian network consisting of behavioral, genetic, physiological, and environmental variables that influence disease and used them to predict host population trends. We varied the impacts of specific variables in the model to reveal factors with the most influence on host population trend. The behavior of the nodes (the way in which the variables probabilistically responded to changes in states of the parents, which are the nodes or variables that directly influenced them in the graphical model) was consistent with published results. The frog population had a 49% probability of decline when all states were set at their original values, and this probability increased when body temperatures were cold, the immune system was not suppressing infection, and the ambient environment was conducive to growth of B. dendrobatidis. These findings suggest the construction of our model reflected the complex relationships characteristic of host–pathogen interactions. Changes to climatic variables alone did not strongly influence the probability of population decline, which suggests that climate interacts with other factors such as the capacity of the frog immune system to suppress disease. Changes to the adaptive immune system and disease reservoirs had a large effect on the population trend, but there was little empirical information available for model construction. Our model inputs can be used as a base to examine other systems, and our results show that such analyses are useful tools for reviewing existing literature, identifying links poorly supported by evidence, and understanding complexities in emerging infectious‐disease systems.     

发展乡村旅游对乡村生态环境影响研究

针对发展乡村旅游对乡村生态环境的影响,介绍了乡村旅游的发展现状,探讨了乡村旅游发展对乡村环境的影响,主要包括乡村旅游带来的环境问题分析和环境问题的原因分析,乡村旅游作为旅游行业一支新生力量,异军突起,在中国已形成很大的发展趋势.发展乡村旅游可以提高农民收入、合理利用乡村资源,提出对策建议,主要是充分发挥政府职能,建立健全乡村环境保护体系,制定合理的乡村旅游发展规划,加强乡村旅游的环境管理,为乡村旅游发展提出了对策建议.     

高温高湿环境对车辆装备的影响及防护对策

高温高湿环境条件对车辆装备性能有着至关重要的影响。为了提高新时期我军车辆装备保障能力,就必须做好车辆装备的的防护管理。首先介绍了高温高湿地区气候环境的特点,分析了其对车辆装备的主要影响,最后提出了车辆装备防护管理的对策。     

小城镇建设项目环境影响评价相关问题探讨——以聊城经济开发区蒋官屯小城镇建设项目为例

在中国的城市化进程中,小城镇建设发挥了重要的作用,引起了各级政府的重视。本文以聊城经济开发区蒋官屯小城镇建设项目为例,结合小城镇建设项目的特点,就小城镇建设项目的环境影响评价中相关问题进行了探讨,主要从环境影响评价的特点、评价的主要内容、评价重点、项目建设对环境的影响分析及外环境对项目的影响分析、生态及社会环境影响分析、公众参与、项目选址合理性分析、应特别关注的环境问题等几个方面进行阐述,以期为小城镇建设项目环境影响评价提供参考。     

水葫芦大面积种植对滇池浮游植物的影响研究

对滇池水葫芦大面积种植区域开展了浮游植物群落结构和细胞丰度变化的调查研究,经过数据统计分析发现水葫芦大面积种植对水体浮游植物种群种类组成影响不显著,但对蓝藻生长具一定的抑制作用,对绿藻和硅藻可能具一定促进作用。     

生产安全事故责任认定定量化方法的探讨

当前,我国生产安全事故的责任认定是在事故调查组分析调查事故原因后,对事故责任者承担的责任进行定性的责任认定,受一定的主观因素影响。为了避免主观因素的影响,本文提出了一种责任认定定量化方法,该方法首先从安全管理、安全技术和职业健康卫生三方面建立了完善的事故影响因素集;然后在分析事故原因后采用专家打分法(德尔菲法)确定各影响因素的影响度,并计算出与事故相关的责任者的累加影响度,即责任大小;最后根据事故造成的人员伤亡和经济损失情况对事故责任者作出处理。此方法对生产安全事故责任认定更加公正客观。     

Debromination of decabromodiphenyl ether by organo-montmorillonite-supported nanoscale zero-valent iron：Preparation, characterization and influence factors

An organo-montmorillonite-supported nanoscale zero-valent iron material(M-NZVI) was synthesized to degrade decabromodiphenyl ether(BDE-209). The results showed that nanoscale zero-valent iron had good dispersion on organo-montmorillonite and was present as a core-shell structure with a particle size range of nanoscale iron between 30–90 nm, characterized by XRD, SEM, TEM, XRF, ICP-AES, and XPS. The results of the degradation of BDE-209 by M-NZVI showed that the efficiency of M-NZVI in removing BDE-209 was much higher than that of NZVI. The efficiency of M-NZVI in removing BDE-209 decreased as the pH and the initial dissolved oxygen content of the reaction solution increased, but increased as the proportion of water in the reaction solution increased.     

石墨-活性炭纤维复合电极电吸附处理含盐废水的研究

高盐废水是目前水处理领域的难点,作为一种新型的除盐技术,电吸附技术具有众多优点.本文研究了一种新型碳基复合材料,石墨-活性炭纤维复合电极,并考察了其应用于电吸附的影响因素和除盐效果.在电压为1.6 V,停留时间为60min,极板间距为1 cm时电吸附装置的除盐效果最优.用其分别对精制棉黑液和叶绿素铜钠废水进行了处理.电极对数为8对时对经酸析处理后的精制棉黑液的电导率和COD的去除率分别达到58.8%和75.6%;电极对数为6~8时对叶绿素铜钠生产废水的电导率的去除率能超过50.0%,COD的去除率约为13.5%.     

Causes of change in nitrophytic and oligotrophic lichen species in a Mediterranean climate: impact of land cover and atmospheric pollutants

With the aim of determining the main drivers of changes in nitrophytic and oligotrophic macro-lichen communities in an industrial region with a Mediterranean climate, we considered both land-cover types and atmospheric pollutants. We determined the relation between the abundance of nitrophytic and oligotrophic species with environmental factors considering the distance of influence of land-cover types. The results showed that oligotrophic species decreased in the proximity of artificial areas, barren land and agricultural areas, associated with higher concentrations of NO₂ and Zn, and Ti, probably dust of industrial and agricultural origin. Nitrophytic species were positively related to all the mentioned land-cover types, and with higher concentrations of Fe and N. Magnesium, probably from ocean aerosols, was negatively related to oligotrophic species and positively to nitrophytic.