石油降解菌Pseudomonas stutzeri TH-31的分离与降解条件优化

使用稀释富集法,从大港油田采油废水处理站生化池中定向快速的分离出多株高效石油降解菌株。对分离获得的1株优势菌株进行生理生化和分子生物学鉴定,显示属于Pseudomonas stutzeri的1个新菌株,命名为Pseudomonas stutzeri TH-31。通过批次实验,对菌株TH-31的生长条件和石油降解条件进行了优化,经过条件优化,P.stutzeri TH-31在初始pH 7,原油投加量为300 mg/L,35℃培养5 d后,获得最高石油烃降解率92.7%。     

基于化工生产过程历史数据的报警优化方法研究

为了有效降低报警装置漏报率和误报率,基于化工生产的过程历史数据,探讨了报警优化的两种方法。以误报率和漏报率为优化指标,建立报警阈值目标函数,从最小化目标函数的角度出发,采用数值优化的方法进行报警阈值的优化设计。基于报警时长的变异系数,应用自适应报警延时方法来降低报警数量。实例研究表明,应用基于化工生产过程历史数据的方法,可有效减少无效报警数量,降低误报率和漏报率,提高报警质量,对于提高石化生产过程的安全性具有积极意义。     

Development of controlled release formulations of azadirachtin-A employing poly(ethylene glycol) based amphiphilic copolymers

Controlled release (CR) formulations of azadirachtin-A, a bioactive constituent derived from the seed of Azadirachta indica A. Juss (Meliaceae), have been prepared using commercially available polyvinyl chloride, polyethylene glycol (PEG) and laboratory synthesized poly ethylene glycol–based amphiphilic copolymers. Copolymers of polyethylene glycol and various dimethyl esters, which self assemble into nano micellar aggregates in aqueous media, have been synthesized. The kinetics of azadirachtin-A, release in water from the different formulations was studied. Release from the commercial polyethylene glycol (PEG) formulation was faster than the other CR formulations. The rate of release of encapsulated azadirachtin-A from nano micellar aggregates is reduced by increasing the molecular weight of PEG. The diffusion exponent (n value) of azadirachtin-A, in water ranged from 0.47 to 1.18 in the tested formulations. The release was diffusion controlled with a half release time (t_1/2) of 3.05 to 42.80 days in water from different matrices. The results suggest that depending upon the polymer matrix used, the application rate of azadirachtin-A can be optimized to achieve insect control at the desired level and period.     

Effects of environmental temperature on the thermal runaway of lithium-ion batteries during charging process

Lithium-ion batteries with relatively narrow operating temperature range have provoked concerns regarding the safety of LIBs. In this work, a series of experiments were conducted to explore the thermal runaway (TR) behaviors of charging batteries in a high/low temperature test chamber. The effects of charging rates (0.5 C, 1 C, 2 C, and 3 C), and ambient temperature (2 °C, 32 °C and 56 °C) are comprehensively investigated.The results indicate that the cell exhibited greater thermal hazard at the high charging rate and ambient temperature conditions. As the charging rate increased from 0.5 C to 3 C, more lithium intercalated in the anode prompt the TR triggered in advance, the TR onset temperature decreased from 297.5 °C to 264.7 °C. In addition, the charging time decreased with the elevated ambient temperature, resulting in a relatively higher TR onset temperature and lower maximum temperature, and the average TR critical time declined by 115–143 s. Finally, the TR required less heat accumulation with increasing of charging rate and ambient temperature, and the heat generation of side reaction played a substantial role that accounted for approximately 54%∼63%. These results provide an insight into the charging cell thermal runaway behaviors in complex operation environments and deliver valuable guidance for improving the safety of cell operation.     

Deriving heart rate variability indices from cardiac monitoring—An indicator of driver sleepiness

Objective: Driver fatigue is considered to be a major contributor to road traffic crashes. Cardiac monitoring and heart rate variability (HRV) analysis is a candidate method for early and accurate detection of driver sleepiness. This study has 2 objectives: to evaluate the (1) suitability of different preprocessing strategies for detecting and removing outlier heartbeats and spectral transformation of HRV signals and their impact of driver sleepiness assessment and (2) relation between common HRV indices and subjective sleepiness reported by a large number of drivers in real driving situations, for the first time.

Methods: The study analyzed >3,500 5-min driving epochs from 76 drivers on a public motorway in Sweden. The electrocardiograph (ECG) data were recorded in 3 studies designed to evaluate the physiological differences between awake and sleepy drivers. The drivers reported their perceived level of sleepiness according to the Karolinska Sleepiness Scale (KSS) every 5?min. Two standard methods were used for identifying outlier heartbeats: (1) percentage change (PC), where outliers were defined as interbeat intervals deviating >30% from the mean of the four previous intervals and (2) standard deviation (SD), where outliers were defined as interbeat interval deviating >4 SD from the mean interval duration in the current epoch. Three standard methods were used for spectral transformation, which is needed for deriving HRV indices in the frequency domain: (1) Fourier transform; (2) autoregressive model; and (3) Lomb-Scargle periodogram. Different preprocessing strategies were compared regarding their impact on derivation of common HRV indices and their relation to KSS data distribution, using box plots and statistical tests such as analysis of variance (ANOVA) and Student’s t test.

Results: The ability of HRV indices to discriminate between alert and sleepy drivers does not differ significantly depending on which outlier detection and spectral transformation methods are used. As expected, with increasing sleepiness, the heart rate decreased, whereas heart rate variability overall increased. Furthermore, HRV parameters representing the parasympathetic branch of the autonomous nervous system increased. An unexpected finding was that parameters representing the sympathetic branch of the autonomous nervous system also increased with increasing KSS level. We hypothesize that this increment was due to stress induced by trying to avoid an incident, because the drivers were in real driving situations.

Conclusions: The association of HRV indices to KSS did not depend on the preprocessing strategy. No preprocessing method showed superiority for HRV association to driver sleepiness. This was also true for combinations of methods for frequency domain HRV indices. The results prove clear relationships between HRV indices and perceived sleepiness. Thus, HRV analysis shows promise for driver sleepiness detection.     

煤矿照度对人反应时间和可靠度的影响研究

煤矿综采工作面狭窄,工作环境昏暗,照明环境普遍不好,是近年来井下事故多发的重要因素之一。针对目前煤矿综采工作面存在的照度问题,通过控制光照时间和操作难度,利用舒尔特表测算反应时间和操作可靠度,使用SPSS20. 0和Excel进行数据处理,设计试验组和对照组来进行对比试验。结果表明,1)从反应时间来看,0～25 min,试验组平均反应时间的变化趋势与对照组相反,被试者的注意力先下降后上升; 25～55 min,被试者逐渐适应低照度环境,反应时间也在逐渐缩短;被试者在低照度条件下操作55 min后,反应时间随光照时间增加而大幅度增加,超过劳动时间临界值后,视觉疲劳度迅速增加,反应急速减慢,从而可能导致安全事故的发生,影响生产效率,此时应合理安排工人休息。2)从操作难度来看,在简单及正常操作难度时,试验组和对照组操作可靠度变化比较接近,表明低照度条件对一般操作的可靠度影响不明显;在极难操作难度时,低照度条件对可靠度影响明显,在井下生产过程中,低照度环境下应尽量避免安排复杂的机械化操作。3)反应时间与光照时间呈二次函数关系,通过建立回归方程量化了两者的关系,为以后合理安排煤矿工人劳动休息时间提供了理论依据。     

Accidental release: Fuzzy selection of adequate formal model

Risk assessment of a chemical process plant requires the application of a variety of consequence models in order to estimate the potential physical effects of accidental releases. The types of models required vary depending upon the substance under consideration and the circumstances of a release. The objective of this study was the development and application of a system based upon ‘fuzzy logic’, for the selection of a computer model to be used in consequence analysis in specific situations where only certain types of consequence models can be used. The collection of data for modelling purposes from different kinds of computer model and application of fuzzy methods were also important aims of the study.     

基于降水等级分异方法的低影响开发小区雨水径流污染负荷削减率的评估

为定量评估低影响开发(LID)技术对雨水径流污染负荷的削减率,选取嘉兴市柳岸禾丰小区作为LID小区,与其临近且下垫面类型相似的浅水湾小区作为传统小区,同步监测小区的外排水量和TP浓度,根据降水等级分异计算2个小区同等降水情景下单位面积污染负荷量,再以传统小区的单位面积污染负荷量为基准核算LID小区的雨水径流污染负荷削减率。结果表明：小雨时,LID设施可消纳其服务范围内的所有径流及所携带的污染物,污染负荷削减率达100%;当降水量增至超过LID设施功能阈值时,污染物削减率开始降低,中雨时降至67%,大雨时降至46%,年均雨水径流污染负荷削减率约为66%。整体来看,LID设施雨水径流污染负荷削减率表现出明显的降水等级差异。采用降水等级分异的方法能够减少降水等级所造成的误差,确保评估结果的精准程度,为小区LID设施建设提供可靠的决策依据。

     

氯气和光气爆燃事故源强估算

在建立化学品泄漏的气体排放、液体排放、两相排放模式和爆炸燃烧的火球和气爆，蒸气云爆炸及绝热扩散和池蒸发扩展等模式的基础上，估计分析了氯气和光气爆燃事故源强，即爆炸能量及碎片抛射、冲击波、热辐射和毒云等后果影响     

铬盐废水蒸发系统腐蚀突变与缓蚀工况研究

针对铬盐废水蒸发系统运行过程中的腐蚀问题,采用失重法、pH值检测、扫描电镜(SEM、EDS)和XRD等手段,模拟研究了温度、Cr3+质量浓度对20#碳钢腐蚀速率、腐蚀产物的影响,并从废水pH值和形貌分析角度探索腐蚀速率发生突变的原因.研究表明:废水Cr3+质量浓度在150～180 mg/L范围,碳钢腐蚀速率发生突增,废...