科创中国

衡水市水功能区一级功能区共涉及25个,二级功能区共涉及23个.为加强水功能区保护和管理,结合当地实际情况,共在10处重点水功能区常设12处水质监测断面.通过对多年监测数据分析,功能区受点源、面源污染以及上游下泄污水等因素影响,水质污染较重,达标率较低,2010年仅为20%.针对境内自产入河污染物,对照河流纳污能力,消减任务最重的是滏阳河衡水景观娱乐用水区段.降低污染,恢复水体功能任务艰巨,依据现有条件,可积极寻求开发污水再生利用、消减面源污染等途径,以实现水生态良性循环.

基于Map-reduce,提出了面向多核处理器应用于大规模集群的并行编程方法,应用该方法运行数据挖掘算法Canopy和K-means.针对K-means算法对初始聚类中心敏感,提出了基于Canopy的K-means优化算法.基于实际数据集的实验结果表明,多核Canopy-K-means聚类算法的准确度和执行效率随着核数的增多呈线性增长.

Tribological properties of impregnated graphite are greatly influenced by preparation technology and working conditions and it's highly susceptible to corrosion environmental impacts,but the experimental research about it are few.In this paper,three kinds of impregnated graphite samples are prepared with different degree of graphitization,the tribological properties of these samples in the dry friction environment and in a corrosive environment are analyzed and contrasted.The tribo-test results show that the friction coefficient of samples is reduced and the amount of wear of samples increase when the graphitization degree of samples increases in dry friction condition.While in a corrosive environment(samples are soaked N2O4),the friction coefficient and amount of wear are changed little if the graphitization degree of samples are low.If the degree of graphitization increase,the friction coefficient and amount of wear of samples increase too,the amount of wear is 2 to 3 times as the samples tested in the non-corrosive environment under pv value of 30MPa?m/s.The impregnated graphite,which friction coefficient is stable and graphitization degree is in mid level,such#2,is more appropriate to have a work in the corrosion conditions.In this paper,preparation and tribological properties especially in corrosive environment of the impregnated graphite is studied,the research conclusion can provide an experimental and theoretical basis for the selection and process improvement of graphite materials,and also provide some important design parameters for contact seal works in a corrosive environment.

大数据及云计算等技术带来的科研方式的转变正在影响着对高铁故障诊断技术领域的研究工作,利用云计算平台对大规模高铁监测数据进行了故障检测分析的研究工作,利用hadoop平台对仿真平台产生的高铁监测数据进行了数据预处理,并在该平台下实现了并行化的EEMD与信息熵相结合的故障特征提取,然后在map-reduce计算框架下实现了对特征提取结果的KNN故障分类识别,对分类效果和运行性能指标进行了分析.实验结果表明,该方法能准确有效的对高铁故障进行识别分类,在运算速度、并行化加速度性能上都较传统方法有明显的改善.

溶液表面张力和浓度关系模型的正确选择对提高表面张力测定实验数据的计算结果的准确度具有重要的意义.本文首先介绍了非线性模型参数确定的计算原理,然后介绍了表面张力测定实验数据处理中饱和吸附量和分子横截面积的计算方法,通过VB研制的软件对一组实验数据进行了计算,从理论分析和实例验证2个角度对4种比较典型的模型进行了研究,研究表明:在低浓度区域,适合采用对数模型,在当溶液浓度较高时,适合采用指数模型.本文研制的表面张力计算软件不仅可用于物化实验教学,也可作为研究表面张力和溶液浓度关系的一个计算工具.