惯性系统飞行试验精度检验方法

目的针对传统工具误差分离方法得到的分离结果不够准确可信的问题,提出了一种利用等效误差实现对惯性系统精度判定的方法。方法首先基于主成分分析,定义等效误差,等效误差具有独立、无偏的性质。然后提出基于等效误差的假设检验判断惯性系统精度是否合格的方法。结果算例表明采用该方法可以实现惯性系统精度的可信判断。结论该方法解决了以往方法误差大,分析结论可信度不高的问题。     

三维荧光与平行因子研究黑臭河流DOM

利用三维荧光光谱（EEMs）与平行因子（PARAFAC）模型相结合,分析了沈阳市5条典型黑臭水体溶解性有机物（DOM）的荧光组分特征,并结合常规水质指标,利用主成分分析法（PCA）对影响黑臭水体DOM的主要因素及其贡献量进行了研究.结果表明,沈阳市典型黑臭水体DOM主要由类蛋白荧光组分C1（235,360）,类富里酸荧光组分C2（220,430）和类腐殖酸荧光组分C3（255,520）组成.C2类富里酸物质与COD_Cr、氨氮、S^2-、TP有很强的正相关性,与DO和透明度成负相关,来自于陆源;C1类色氨酸和C3类腐殖酸表现出明显的正相关,具有同源性,来自于微生物內源.陆源有机质组分对黑臭水体DOM的贡献率高达61.2%,微生物内源组分对黑臭水体DOM的贡献率为25.5%.5个黑臭水体在水质上存在差异,支流Ⅰ和支流Ⅱ为重度黑臭,支流Ⅲ、Ⅳ和Ⅴ为轻度黑臭.     

基于PCA-BP神经网络的多股铜导线 熔痕定量金相识别方法研究

为实现火灾现场中多股铜导线熔痕的自动识别,采用主成分分析(PCA)和反向传播(BP)神经网络算法对四种多股铜导线熔痕(一次短路熔痕、二次短路熔痕、过负荷熔痕和火烧熔痕)的金相组织进行了识别研究。利用Image-Pro Plus 6.0和Axio-Imaging软件获取每种熔痕30组17维金相组织参数数据,采用PCA对四种熔痕共120组数据降维,获得前6个主成分得分矩阵,建立具有6个输入层节点,10个隐层节点和4个输出节点的神经网络模式识别模型。随机抽取每种熔痕的20组样品的主成分得分矩阵作为训练集,将每种熔痕的剩余10组主成分得分为测试数据,输入最终训练完成的模型进行识别,其识别准确率达到92.5%。实验结果表明采用PCA+BP神经网络的算法,可以较好地实现多股铜导线熔痕识别,为火灾物证鉴定工作提供了有力的工具。     

Modeling level-of-safety for bus stops in China

Objective: Safety performance at bus stops is generally evaluated by using historical traffic crash data or traffic conflict data. However, in China, it is quite difficult to obtain such data mainly due to the lack of traffic data management and organizational issues. In light of this, the primary objective of this study is to develop a quantitative approach to evaluate bus stop safety performance.

Methods: The concept of level-of-safety for bus stops is introduced and corresponding models are proposed to quantify safety levels, which consider conflict points, traffic factors, geometric characteristics, traffic signs and markings, pavement conditions, and lighting conditions. Principal component analysis and k-means clustering methods were used to model and quantify safety levels for bus stops.

Results: A case study was conducted to show the applicability of the proposed model with data collected from 46 samples for the 7 most common types of bus stops in China, using 32 of the samples for modeling and 14 samples for illustration. Based on the case study, 6 levels of safety for bus stops were defined. Finally, a linear regression analysis between safety levels and the number of traffic conflicts showed that they had a strong relationship (R² value of 0.908).

Conclusions: The results indicated that the method was well validated and could be practically used for the analysis and evaluation of bus stop safety in China. The proposed model was relatively easy to implement without the requirement of traffic crash data and/or traffic conflict data. In addition, with the proposed method, it was feasible to evaluate countermeasures to improve bus stop safety (e.g., exclusive bus lanes).     

Application of chemometric analysis based on physicochemical and chromatographic data for the differentiation origin of plant protection products containing chlorpyrifos

The aim of this study was to investigate the similarities and dissimilarities between the pesticide samples in form of emulsifiable concentrates (EC) formulation containing chlorpyrifos as active ingredient coming from different sources (i.e., shops and wholesales) and also belonging to various series. The results obtained by the Headspace Gas Chromatography–Mass Spectrometry method and also some selected physicochemical properties of examined pesticides including pH, density, stability, active ingredient and water content in pesticides tested were compared using two chemometric methods. Applicability of simple cluster analysis and also principal component analysis of obtained data in differentiation of examined plant protection products coming from different sources was confirmed. It would be advantageous in the routine control of originality and also in the detection of counterfeit pesticides, respectively, among commercially available pesticides containing chlorpyrifos as an active ingredient.     

Evaluation of electronic components in life cycle assessment

Life cycle assessment (LCA), a quantitative method for evaluating the total environmental impact of a product, from the materials in its manufacture to its final disposal, is playing an increasingly important role in manufacturing. When the LCA method is applied to a product containing many kinds of electronic components, there is a need for life cycle inventory (LCI) data on the components. This paper provides an original calculation of the LCI data for each electronic components industry. These data show the amount of input energy and emissions into the atmosphere per yen of production yield. It is demonstrated that the magnitude of the LCI data for each industry is essentially equal to that of the other industries. Furthermore, we conclude that the LCI data for all electronic components are roughly equivalent, making it possible to calculate the LCI data of any electronic component by simply multiplying the LCI data for the industry by the price of the component. Furthermore, after comparing the materials production stages with the component manufacturing stage in the calculation, it became clear that for several component industries the materials production stage could not be omitted from the calculation. Received: April 10, 1998 / Accepted: February 8, 1999     

常压下煤对N2/CO2/CH4单组分气体吸附特性研究

为了研究常压不同条件下煤样对N2/CO2/CH4单组分气体的吸附特性,以Langumir单分子层吸附模型为依据,对其吸附阶段进行划分,选择长焰煤、气肥煤和无烟煤分别进行了单组分气体吸附试验,探讨不同试验条件对煤吸附量的影响。结果表明:在常压阶段,煤对单组分气体的吸附规律服从Langumir单分子层吸附模型的第一阶段,吸附量与压力正相关;煤的变质程度、吸附温度及压力和吸附气体的种类是影响吸附量的主要因素,并在不同情况下对煤吸附量的影响程度不同;高低变质煤样对吸附量的影响大,而中等变质程度的影响小;温度是低压阶段影响吸附量的主要因素;吸附气体种类对吸附量的影响是由于其自身物化性质差异,相同试验条件下煤对3种单组分气体的吸附量从大到小为CO2、CH4、N2。     

唐山市PM2.5理化特征及来源解析

为了研究唐山市PM2.5理化特征及来源,分别于2012年7月和2013年1月对唐山市夏、冬季PM2.5样品进行了采集,应用电感耦合等离子体质谱仪(ICP-MS)、离子色谱仪(IC)和DRI碳质分析仪对PM2.5样品中化学组分元素、水溶性离子及有机碳和元素碳(OC/EC)进行了分析。应用CAMx-PSAT数值模型对采样时段PM2.5进行模拟,分析了夏、冬季PM2.5的主要来源。结果表明,唐山市PM2.5污染严重,夏、冬季质量浓度分别为国家环境II级标准的1.08倍和2.49倍。夏季PM2.5中二次组分质量浓度较高,占PM2.5总质量浓度的53.56%。SO2-4、NO-3和NH+4是PM2.5中重要的二次组分,占PM2.5质量浓度的31.49%~43.79%。一次组分中,矿物尘和POA占PM2.5质量浓度比例最高。唐山夏冬季节PM2.5未知组分比例分别为14.4%和24.86%。工业源是唐山市PM2.5污染的主要来源,夏、冬季节贡献率分别为74.1%和43.8%。由于居民燃煤采暖,冬季居民源对唐山市PM2.5贡献率增大。冬季唐山市主导风向为西北,外来源对PM2.5贡献率为31.2%;夏季主导风向为东南,外来源贡献率为15.0%。气象因素是导致外来源贡献季节变化的重要原因。     

利用SPAMS研究南宁市冬季单颗粒气溶胶化学成分

利用单颗粒气溶胶飞行时间质谱仪(SPAMS)对南宁市2015年冬季2月15~24日期间大气PM2.5进行观测.SPAMS所测得大气PM2.5数浓度与PM2.5质量浓度线性相关系数为0.76,在一定程度上颗粒物数浓度可反映大气污染状况.利用自适应共振神经网络分类方法(Art-2a)对PM2.5化学成分进行分类,确定PM2.5化学成分主要为元素碳、有机元素碳混合颗粒、有机碳、富钾颗粒、矿物质、富钠颗粒、二次无机颗粒、左旋葡聚糖以及其它重金属共9类.成分占比最高的是元素碳,其次是有机碳和富钾颗粒.监测到80%以上的PM2.5粒径主要集中在0.2~1.0μm之间,峰值出现在0.62μm处,各化学成分的粒径分布特征与总颗粒数粒径分布特征相似.各化学成分数浓度与PM2.5质量浓度随时间变化趋势较一致,化学成分数浓度占比变化在一定程度上可反映瞬时的污染来源.     

The role of component arrangement in complex safety instrumented systems—A case study

The arrangement of components plays a key role in the performance of complex Safety Instrumented Systems (SIS), in which a SIS logic solver is interlocked with other logic solvers, to share a final element, for instance. The position of the components and the way they are utilized affects the reliability characteristics, such as the Probability of Failure on Demand (PFD), Spurious Trip Rate (STR), architectural sensitivity and model uncertainty. This case study uses quantitative and qualitative approaches to elaborate on various aspects of component arrangement in complex SIS. Numerous simplified models are analyzed; new classification is introduced for SIS components based on their response to demand; a set of guidelines are developed for SIS architecture design, with a focus on component arrangement; and the use of these guidelines is demonstrated in a real-life example, where an existing turbine SIS is modified to incorporate a new over-speed protection system. The simplified models and the turbine upgrade project are also used to explain the issue of unknowns and uncertainties in reliability analysis and how these issues can be addressed in SIS architecture by optimizing component arrangement.