面向工业平稳/非平稳复杂系统的在线故障监测技术

针对复杂系统中关键性能指标（KPI）相关故障检测方法检测精度低的问题,提出基于双层改进潜结构投影（DL-IPLS）的KPI相关故障检测方法. 利用协整分析和主元分析建立底层模型,对非平稳和平稳变量进行特征提取. 将提取的信息进行融合,建立改进潜结构投影的上层模型,根据融合信息对KPI的贡献进行空间分解. 在2个正交子空间中设计统计量,实现KPI相关故障的在线监测. 田纳西-伊斯曼过程和青霉素发酵过程的仿真结果表明,在面向工业平稳和非平稳复杂工业系统检测时,所提方法有效提高了KPI相关故障的检测率,降低了KPI无关故障的误报率.     

化工过程熵增指数及其在磷复肥清洁生产评价中的应用

从热力学第二定律出发, 指出清洁生产的热力学本质是控制物质由有序结构向无序转化并从中获取最大效益, 其优劣可由过程熵增反映。 引用复杂体系非平衡定态过程最小熵产生原理,推导出依据与外界交换的物流和热流信息定量计算化工复杂系统过程熵增的方法, 并定义过程熵增指数ζ 。 评价了化工过程对环境热力学状态的综合影响。选择以硫和以氨为载能原料的磷复肥工艺为例进行了计算和对比,其过程熵增指数分别为6.753和4.571,反映出载能原料硫作为废物排放对环境热力学状态产生更大的影响。     

The Inflammatory Profile of Obesity and the Role on Pulmonary Bacterial and Viral Infections

Obesity is a globally increasing health problem, entailing diverse comorbidities such as infectious diseases. An obese weight status has marked effects on lung function that can be attributed to mechanical dysfunctions. Moreover, the alterations of adipocyte-derived signal mediators strongly influence the regulation of inflammation, resulting in chronic low-grade inflammation. Our review summarizes the known effects regarding pulmonary bacterial and viral infections. For this, we discuss model systems that allow mechanistic investigation of the interplay between obesity and lung infections. Overall, obesity gives rise to a higher susceptibility to infectious pathogens, but the pathogenetic process is not clearly defined. Whereas, viral infections often show a more severe course in obese patients, the same patients seem to have a survival benefit during bacterial infections. In particular, we summarize the main mechanical impairments in the pulmonary tract caused by obesity. Moreover, we outline the main secretory changes within the expanded adipose tissue mass, resulting in chronic low-grade inflammation. Finally, we connect these altered host factors to the influence of obesity on the development of lung infection by summarizing observations from clinical and experimental data.     

Dynamics of Bacterial Community Structure in the Rhizosphere and Root Nodule of Soybean: Impacts of Growth Stages and Varieties

Bacterial communities in rhizosphere and root nodules have significant contributions to the growth and productivity of the soybean (Glycine max (L.) Merr.). In this report, we analyzed the physiological properties and dynamics of bacterial community structure in rhizosphere and root nodules at different growth stages using BioLog EcoPlate and high-throughput sequencing technology, respectively. The BioLog assay found that the metabolic capability of rhizosphere is in increasing trend in the growth of soybeans as compared to the bulk soil. As a result of the Illumina sequencing analysis, the microbial community structure of rhizosphere and root nodules was found to be influenced by the variety and growth stage of the soybean. At the phylum level, Actinobacteria were the most abundant in rhizosphere at all growth stages, followed by Alphaproteobacteria and Acidobacteria, and the phylum Bacteroidetes showed the greatest change. But, in the root nodules Alphaproteobacteria were dominant. The results of the OTU analysis exhibited the dominance of Bradyrhizobium during the entire stage of growth, but the ratio of non-rhizobial bacteria showed an increasing trend as the soybean growth progressed. These findings revealed that bacterial community in the rhizosphere and root nodules changed according to both the variety and growth stages of soybean in the field.     

玲珑金矿田含矿断裂的基岩地球化学特征及找矿潜力评价

基岩地球化学方法广泛应用于地质找矿与生产实践,是开展深部找矿预测最直接的方法和手段。通过对玲珑金矿田井下含矿断裂和招平断裂的基岩剖面地球化学特征进行系统研究,得出以下认识：玲珑金矿田原生晕最佳指示元素组合为Au、Ag、Bi、As和Co,且Au-Ag、Au-Bi、Au-As及Au-Co元素之间呈较好的幂指数正相关。根据玲珑金矿田已探明矿脉最佳指示元素组合的统计结果,结合招平断裂基岩剖面地球化学测量结果,发现招平断裂在地表有2处金矿化异常,推测其为矿致异常,反映出该地段具有较好的找矿潜力,特别是前花园村东1021剖面中异常找矿潜力更大。     

AlF3贮仓料位计在线监控系统开发与应用

针对铝电解原材料中AlF3与Al2O3自动配料不准和难于观察及控制的现象，我厂开发应用了AlF3贮仓料位计，并与微机网络相连，实现了远程测量与在线监控，使AlF3配料更准确更均匀，电解质分子比更稳定，电解槽生产低耗高效。     

甲醛法测定铵盐含氮量

对甲醛法测定铵盐含氮量进行了研究，提出采用百里酚酞和酚酞混和指示剂进行测定。该法简单、快速、准确，能满足生产实际和样品检验需要。     

Effects of sulfate-reducing bacteria on the corrosion behavior of carbon steel

The influences of the growing process of sulfate-reducing bacteria (SRB) in seawater system on the medium state and corrosion behavior of carbon steel were studied by detecting solution state parameters and using corrosion electrochemical methods. The growing process of SRB in the seawater shows the three stages of growing, death and residual phases. The solution state parameters of the concentration of sulfide, the pH value and the redox potential changed during the three stages of the SRB growing process. And the corrosion rate of D36 carbon steel was accelerated during the growing phase and stable during the death and residual phases. The results indicate that the medium state and the corrosion rate of the steel do not depend on the number of active SRB, but depend on the accumulation of the metabolism products of SRB.     

离散型细菌觅食算法求解TSP

旅行商问题(TSP)是组合优化问题的典型代表,针对TSP的求解提出一种离散型细菌觅食(DBFO)算法.该算法通过结合2-opt算法设计了一种适合处理离散型变量的趋化算子,将细菌觅食算法推广到了离散情形.同时,结合TSP的特点,在迁徙算子中引入基因库的思想来指导新个体的生成,提高了算法的搜索效率.通过对TSPLIB标准库中22个实例进行仿真实验.实验结果表明,该算法能够有效求解城市规模500以下的TSP,与混合蚁群算法和离散型萤火虫群算法相比,具有更好的全局收敛性和稳定性.     

油田废水电解杀菌研究

采用电解杀菌技术处理油田废水，研究了电解时间、电流强度、极板间距以及电极联结方式等因素对废水中硫酸盐还原菌杀灭效果的影响。结果表明，油田废水经3min电解杀菌，硫酸盐还原菌杀灭率高达99．90％。随着电解时间的增加，硫酸盐还原菌的杀菌率进一步提高；电流强度增加，硫酸盐还原菌的杀灭率升高。在电流强度保持不变的情况下，随着极板间距增加，极板之间电压升高，更有利于杀灭硫酸盐还原菌。在极板间电流强度相同的条件下，两种电极联结方式的杀菌率差别不大，杀菌率均在99．9％以上。